Package evaluation of DiffEqParamEstim on Julia 1.11.4 (a71dd056e0*) started at 2025-04-08T18:23:48.212


################################################################################
# Set-up
#

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 8.68s


################################################################################
# Installation
#

Installing DiffEqParamEstim...
   Resolving package versions...
    Updating `~/.julia/environments/v1.11/Project.toml`
  [1130ab10] + DiffEqParamEstim v2.2.0
    Updating `~/.julia/environments/v1.11/Manifest.toml`
  [47edcb42] + ADTypes v1.14.0
  [7d9f7c33] + Accessors v0.1.42
  [79e6a3ab] + Adapt v4.3.0
  [66dad0bd] + AliasTables v1.1.3
  [4fba245c] + ArrayInterface v7.18.0
  [62783981] + BitTwiddlingConvenienceFunctions v0.1.6
  [2a0fbf3d] + CPUSummary v0.2.6
  [49dc2e85] + Calculus v0.5.2
  [fb6a15b2] + CloseOpenIntervals v0.1.13
  [38540f10] + CommonSolve v0.2.4
  [bbf7d656] + CommonSubexpressions v0.3.1
  [f70d9fcc] + CommonWorldInvalidations v1.0.0
  [34da2185] + Compat v4.16.0
  [a33af91c] + CompositionsBase v0.1.2
  [2569d6c7] + ConcreteStructs v0.2.3
  [187b0558] + ConstructionBase v1.5.8
  [adafc99b] + CpuId v0.3.1
  [9a962f9c] + DataAPI v1.16.0
  [864edb3b] + DataStructures v0.18.22
  [e2d170a0] + DataValueInterfaces v1.0.0
  [39dd38d3] + Dierckx v0.5.4
  [2b5f629d] + DiffEqBase v6.167.2
  [1130ab10] + DiffEqParamEstim v2.2.0
  [163ba53b] + DiffResults v1.1.0
  [b552c78f] + DiffRules v1.15.1
  [31c24e10] + Distributions v0.25.118
  [ffbed154] + DocStringExtensions v0.9.4
  [4e289a0a] + EnumX v1.0.5
  [f151be2c] + EnzymeCore v0.8.8
  [e2ba6199] + ExprTools v0.1.10
  [55351af7] + ExproniconLite v0.10.14
  [7034ab61] + FastBroadcast v0.3.5
  [9aa1b823] + FastClosures v0.3.2
  [a4df4552] + FastPower v1.1.2
  [1a297f60] + FillArrays v1.13.0
  [f6369f11] + ForwardDiff v1.0.1
  [069b7b12] + FunctionWrappers v1.1.3
  [77dc65aa] + FunctionWrappersWrappers v0.1.3
  [46192b85] + GPUArraysCore v0.2.0
  [34004b35] + HypergeometricFunctions v0.3.28
  [615f187c] + IfElse v0.1.1
  [3587e190] + InverseFunctions v0.1.17
  [92d709cd] + IrrationalConstants v0.2.4
  [82899510] + IteratorInterfaceExtensions v1.0.0
  [692b3bcd] + JLLWrappers v1.7.0
  [ae98c720] + Jieko v0.2.1
  [10f19ff3] + LayoutPointers v0.1.17
  [2ab3a3ac] + LogExpFunctions v0.3.29
  [1914dd2f] + MacroTools v0.5.15
  [d125e4d3] + ManualMemory v0.1.8
  [e1d29d7a] + Missings v1.2.0
  [2e0e35c7] + Moshi v0.3.5
  [46d2c3a1] + MuladdMacro v0.2.4
  [77ba4419] + NaNMath v1.1.3
  [bac558e1] + OrderedCollections v1.8.0
  [90014a1f] + PDMats v0.11.33
  [d96e819e] + Parameters v0.12.3
  [06bb1623] + PenaltyFunctions v0.3.0
  [f517fe37] + Polyester v0.7.16
  [1d0040c9] + PolyesterWeave v0.2.2
  [d236fae5] + PreallocationTools v0.4.26
⌅ [aea7be01] + PrecompileTools v1.2.1
  [21216c6a] + Preferences v1.4.3
  [43287f4e] + PtrArrays v1.3.0
  [1fd47b50] + QuadGK v2.11.2
  [3cdcf5f2] + RecipesBase v1.3.4
  [731186ca] + RecursiveArrayTools v3.31.2
  [189a3867] + Reexport v1.2.2
  [ae029012] + Requires v1.3.1
  [79098fc4] + Rmath v0.8.0
  [7e49a35a] + RuntimeGeneratedFunctions v0.5.13
  [94e857df] + SIMDTypes v0.1.0
  [0bca4576] + SciMLBase v2.82.1
  [c0aeaf25] + SciMLOperators v0.3.13
  [53ae85a6] + SciMLStructures v1.7.0
  [efcf1570] + Setfield v1.1.2
  [a2af1166] + SortingAlgorithms v1.2.1
  [276daf66] + SpecialFunctions v2.5.0
  [aedffcd0] + Static v1.2.0
  [0d7ed370] + StaticArrayInterface v1.8.0
  [1e83bf80] + StaticArraysCore v1.4.3
  [10745b16] + Statistics v1.11.1
  [82ae8749] + StatsAPI v1.7.0
  [2913bbd2] + StatsBase v0.34.4
  [4c63d2b9] + StatsFuns v1.4.0
  [7792a7ef] + StrideArraysCore v0.5.7
  [2efcf032] + SymbolicIndexingInterface v0.3.38
  [3783bdb8] + TableTraits v1.0.1
  [bd369af6] + Tables v1.12.0
  [8290d209] + ThreadingUtilities v0.5.2
  [781d530d] + TruncatedStacktraces v1.4.0
  [3a884ed6] + UnPack v1.0.2
  [cd4c43a9] + Dierckx_jll v0.2.0+0
  [efe28fd5] + OpenSpecFun_jll v0.5.6+0
  [f50d1b31] + Rmath_jll v0.5.1+0
  [56f22d72] + Artifacts v1.11.0
  [2a0f44e3] + Base64 v1.11.0
  [ade2ca70] + Dates v1.11.0
  [8ba89e20] + Distributed v1.11.0
  [9fa8497b] + Future v1.11.0
  [b77e0a4c] + InteractiveUtils v1.11.0
  [8f399da3] + Libdl v1.11.0
  [37e2e46d] + LinearAlgebra v1.11.0
  [56ddb016] + Logging v1.11.0
  [d6f4376e] + Markdown v1.11.0
  [de0858da] + Printf v1.11.0
  [9a3f8284] + Random v1.11.0
  [ea8e919c] + SHA v0.7.0
  [9e88b42a] + Serialization v1.11.0
  [6462fe0b] + Sockets v1.11.0
  [2f01184e] + SparseArrays v1.11.0
  [4607b0f0] + SuiteSparse
  [fa267f1f] + TOML v1.0.3
  [cf7118a7] + UUIDs v1.11.0
  [4ec0a83e] + Unicode v1.11.0
  [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0
  [4536629a] + OpenBLAS_jll v0.3.27+1
  [05823500] + OpenLibm_jll v0.8.5+0
  [bea87d4a] + SuiteSparse_jll v7.7.0+0
  [8e850b90] + libblastrampoline_jll v5.11.0+0
        Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m`

Installation completed after 5.09s


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# Precompilation
#

Precompiling PkgEval dependencies...

┌ Warning: Could not use exact versions of packages in manifest, re-resolving
└ @ TestEnv ~/.julia/packages/TestEnv/tgnBf/src/julia-1.11/activate_set.jl:63
Precompiling package dependencies...

Precompilation completed after 55.45s


################################################################################
# Testing
#

     Testing DiffEqParamEstim
┌ Warning: Could not use exact versions of packages in manifest, re-resolving
└ @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1920
      Status `/tmp/jl_ld3A5H/Project.toml`
  [a134a8b2] BlackBoxOptim v0.6.3
  [49dc2e85] Calculus v0.5.2
  [bcd4f6db] DelayDiffEq v5.52.0
  [39dd38d3] Dierckx v0.5.4
  [2b5f629d] DiffEqBase v6.167.2
  [1130ab10] DiffEqParamEstim v2.2.0
  [31c24e10] Distributions v0.25.118
⌅ [f6369f11] ForwardDiff v0.10.38
  [76087f3c] NLopt v1.1.3
  [429524aa] Optim v1.12.0
  [7f7a1694] Optimization v4.1.2
  [3e6eede4] OptimizationBBO v0.4.0
  [4e6fcdb7] OptimizationNLopt v0.3.2
  [36348300] OptimizationOptimJL v0.4.1
  [1dea7af3] OrdinaryDiffEq v6.93.0
  [65888b18] ParameterizedFunctions v5.17.2
  [06bb1623] PenaltyFunctions v0.3.0
  [d236fae5] PreallocationTools v0.4.26
  [731186ca] RecursiveArrayTools v3.31.2
  [0bca4576] SciMLBase v2.82.1
  [1ed8b502] SciMLSensitivity v7.76.0
  [9672c7b4] SteadyStateDiffEq v2.5.0
  [789caeaf] StochasticDiffEq v6.75.0
  [c3572dad] Sundials v4.27.0
  [e88e6eb3] Zygote v0.7.6
  [37e2e46d] LinearAlgebra v1.11.0
  [9a3f8284] Random v1.11.0
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_ld3A5H/Manifest.toml`
  [47edcb42] ADTypes v1.14.0
  [621f4979] AbstractFFTs v1.5.0
  [1520ce14] AbstractTrees v0.4.5
  [7d9f7c33] Accessors v0.1.42
  [79e6a3ab] Adapt v4.3.0
  [66dad0bd] AliasTables v1.1.3
  [ec485272] ArnoldiMethod v0.4.0
  [4fba245c] ArrayInterface v7.18.0
  [4c555306] ArrayLayouts v1.11.1
  [a9b6321e] Atomix v1.1.1
  [e2ed5e7c] Bijections v0.1.9
  [62783981] BitTwiddlingConvenienceFunctions v0.1.6
  [a134a8b2] BlackBoxOptim v0.6.3
  [8e7c35d0] BlockArrays v1.5.0
  [70df07ce] BracketingNonlinearSolve v1.1.3
  [fa961155] CEnum v0.5.0
  [2a0fbf3d] CPUSummary v0.2.6
  [a9c8d775] CPUTime v1.0.0
  [00ebfdb7] CSTParser v3.4.3
  [49dc2e85] Calculus v0.5.2
  [7057c7e9] Cassette v0.3.14
  [082447d4] ChainRules v1.72.3
  [d360d2e6] ChainRulesCore v1.25.1
  [fb6a15b2] CloseOpenIntervals v0.1.13
  [861a8166] Combinatorics v1.0.2
⌅ [a80b9123] CommonMark v0.8.16
  [38540f10] CommonSolve v0.2.4
  [bbf7d656] CommonSubexpressions v0.3.1
  [f70d9fcc] CommonWorldInvalidations v1.0.0
  [34da2185] Compat v4.16.0
  [b152e2b5] CompositeTypes v0.1.4
  [a33af91c] CompositionsBase v0.1.2
  [2569d6c7] ConcreteStructs v0.2.3
  [88cd18e8] ConsoleProgressMonitor v0.1.2
  [187b0558] ConstructionBase v1.5.8
  [adafc99b] CpuId v0.3.1
  [a8cc5b0e] Crayons v4.1.1
  [9a962f9c] DataAPI v1.16.0
  [864edb3b] DataStructures v0.18.22
  [e2d170a0] DataValueInterfaces v1.0.0
  [bcd4f6db] DelayDiffEq v5.52.0
  [39dd38d3] Dierckx v0.5.4
  [2b5f629d] DiffEqBase v6.167.2
  [459566f4] DiffEqCallbacks v4.4.0
  [77a26b50] DiffEqNoiseProcess v5.24.1
  [1130ab10] DiffEqParamEstim v2.2.0
  [163ba53b] DiffResults v1.1.0
  [b552c78f] DiffRules v1.15.1
  [a0c0ee7d] DifferentiationInterface v0.6.50
  [8d63f2c5] DispatchDoctor v0.4.19
  [b4f34e82] Distances v0.10.12
  [31c24e10] Distributions v0.25.118
  [ffbed154] DocStringExtensions v0.9.4
  [5b8099bc] DomainSets v0.7.15
  [7c1d4256] DynamicPolynomials v0.6.1
  [06fc5a27] DynamicQuantities v1.8.0
  [4e289a0a] EnumX v1.0.5
  [7da242da] Enzyme v0.13.35
  [f151be2c] EnzymeCore v0.8.8
  [d4d017d3] ExponentialUtilities v1.27.0
  [e2ba6199] ExprTools v0.1.10
  [55351af7] ExproniconLite v0.10.14
  [7034ab61] FastBroadcast v0.3.5
  [9aa1b823] FastClosures v0.3.2
  [442a2c76] FastGaussQuadrature v1.0.2
  [a4df4552] FastPower v1.1.2
  [1a297f60] FillArrays v1.13.0
  [64ca27bc] FindFirstFunctions v1.4.1
  [6a86dc24] FiniteDiff v2.27.0
  [1fa38f19] Format v1.3.7
⌅ [f6369f11] ForwardDiff v0.10.38
  [f62d2435] FunctionProperties v0.1.2
  [069b7b12] FunctionWrappers v1.1.3
  [77dc65aa] FunctionWrappersWrappers v0.1.3
  [d9f16b24] Functors v0.5.2
  [46192b85] GPUArraysCore v0.2.0
  [61eb1bfa] GPUCompiler v1.3.2
  [c145ed77] GenericSchur v0.5.4
  [c27321d9] Glob v1.3.1
  [86223c79] Graphs v1.12.1
  [076d061b] HashArrayMappedTries v0.2.0
  [34004b35] HypergeometricFunctions v0.3.28
  [7869d1d1] IRTools v0.4.14
  [615f187c] IfElse v0.1.1
  [d25df0c9] Inflate v0.1.5
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  [8197267c] IntervalSets v0.7.10
  [3587e190] InverseFunctions v0.1.17
  [92d709cd] IrrationalConstants v0.2.4
  [82899510] IteratorInterfaceExtensions v1.0.0
  [692b3bcd] JLLWrappers v1.7.0
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  [ae98c720] Jieko v0.2.1
⌅ [98e50ef6] JuliaFormatter v1.0.62
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  [929cbde3] LLVM v9.2.0
  [b964fa9f] LaTeXStrings v1.4.0
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  [10f19ff3] LayoutPointers v0.1.17
  [5078a376] LazyArrays v2.6.1
  [1d6d02ad] LeftChildRightSiblingTrees v0.2.0
  [2d8b4e74] LevyArea v1.0.0
  [87fe0de2] LineSearch v0.1.4
  [d3d80556] LineSearches v7.3.0
  [7ed4a6bd] LinearSolve v3.7.2
  [2ab3a3ac] LogExpFunctions v0.3.29
  [e6f89c97] LoggingExtras v1.1.0
  [d8e11817] MLStyle v0.4.17
  [1914dd2f] MacroTools v0.5.15
  [d125e4d3] ManualMemory v0.1.8
  [bb5d69b7] MaybeInplace v0.1.4
  [e1d29d7a] Missings v1.2.0
  [961ee093] ModelingToolkit v9.71.0
  [2e0e35c7] Moshi v0.3.5
  [46d2c3a1] MuladdMacro v0.2.4
  [102ac46a] MultivariatePolynomials v0.5.7
  [d8a4904e] MutableArithmetics v1.6.4
  [d41bc354] NLSolversBase v7.9.1
  [76087f3c] NLopt v1.1.3
  [2774e3e8] NLsolve v4.5.1
  [872c559c] NNlib v0.9.30
  [77ba4419] NaNMath v1.1.3
  [8913a72c] NonlinearSolve v4.5.1
  [be0214bd] NonlinearSolveBase v1.5.2
  [5959db7a] NonlinearSolveFirstOrder v1.3.1
  [9a2c21bd] NonlinearSolveQuasiNewton v1.2.1
  [26075421] NonlinearSolveSpectralMethods v1.1.1
  [d8793406] ObjectFile v0.4.4
  [6fe1bfb0] OffsetArrays v1.16.0
  [429524aa] Optim v1.12.0
  [3bd65402] Optimisers v0.4.6
  [7f7a1694] Optimization v4.1.2
  [3e6eede4] OptimizationBBO v0.4.0
  [bca83a33] OptimizationBase v2.5.0
  [4e6fcdb7] OptimizationNLopt v0.3.2
  [36348300] OptimizationOptimJL v0.4.1
  [bac558e1] OrderedCollections v1.8.0
  [1dea7af3] OrdinaryDiffEq v6.93.0
  [89bda076] OrdinaryDiffEqAdamsBashforthMoulton v1.2.0
  [6ad6398a] OrdinaryDiffEqBDF v1.4.0
  [bbf590c4] OrdinaryDiffEqCore v1.22.0
  [50262376] OrdinaryDiffEqDefault v1.3.0
  [4302a76b] OrdinaryDiffEqDifferentiation v1.6.0
  [9286f039] OrdinaryDiffEqExplicitRK v1.1.0
  [e0540318] OrdinaryDiffEqExponentialRK v1.4.0
  [becaefa8] OrdinaryDiffEqExtrapolation v1.5.0
  [5960d6e9] OrdinaryDiffEqFIRK v1.10.0
  [101fe9f7] OrdinaryDiffEqFeagin v1.1.0
  [d3585ca7] OrdinaryDiffEqFunctionMap v1.1.1
  [d28bc4f8] OrdinaryDiffEqHighOrderRK v1.1.0
  [9f002381] OrdinaryDiffEqIMEXMultistep v1.3.0
  [521117fe] OrdinaryDiffEqLinear v1.1.0
  [1344f307] OrdinaryDiffEqLowOrderRK v1.2.0
  [b0944070] OrdinaryDiffEqLowStorageRK v1.3.0
  [127b3ac7] OrdinaryDiffEqNonlinearSolve v1.6.0
  [c9986a66] OrdinaryDiffEqNordsieck v1.1.0
  [5dd0a6cf] OrdinaryDiffEqPDIRK v1.3.0
  [5b33eab2] OrdinaryDiffEqPRK v1.1.0
  [04162be5] OrdinaryDiffEqQPRK v1.1.0
  [af6ede74] OrdinaryDiffEqRKN v1.1.0
  [43230ef6] OrdinaryDiffEqRosenbrock v1.9.0
  [2d112036] OrdinaryDiffEqSDIRK v1.3.0
  [669c94d9] OrdinaryDiffEqSSPRK v1.2.1
  [e3e12d00] OrdinaryDiffEqStabilizedIRK v1.3.0
  [358294b1] OrdinaryDiffEqStabilizedRK v1.1.0
  [fa646aed] OrdinaryDiffEqSymplecticRK v1.3.0
  [b1df2697] OrdinaryDiffEqTsit5 v1.1.0
  [79d7bb75] OrdinaryDiffEqVerner v1.1.1
  [90014a1f] PDMats v0.11.33
  [65ce6f38] PackageExtensionCompat v1.0.2
  [65888b18] ParameterizedFunctions v5.17.2
  [d96e819e] Parameters v0.12.3
  [69de0a69] Parsers v2.8.1
  [06bb1623] PenaltyFunctions v0.3.0
  [e409e4f3] PoissonRandom v0.4.4
  [f517fe37] Polyester v0.7.16
  [1d0040c9] PolyesterWeave v0.2.2
  [85a6dd25] PositiveFactorizations v0.2.4
  [d236fae5] PreallocationTools v0.4.26
⌅ [aea7be01] PrecompileTools v1.2.1
  [21216c6a] Preferences v1.4.3
  [27ebfcd6] Primes v0.5.7
  [33c8b6b6] ProgressLogging v0.1.4
  [92933f4c] ProgressMeter v1.10.4
  [43287f4e] PtrArrays v1.3.0
  [1fd47b50] QuadGK v2.11.2
  [74087812] Random123 v1.7.0
  [e6cf234a] RandomNumbers v1.6.0
  [c1ae055f] RealDot v0.1.0
  [3cdcf5f2] RecipesBase v1.3.4
  [731186ca] RecursiveArrayTools v3.31.2
  [189a3867] Reexport v1.2.2
  [ae029012] Requires v1.3.1
  [ae5879a3] ResettableStacks v1.1.1
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  [79098fc4] Rmath v0.8.0
  [7e49a35a] RuntimeGeneratedFunctions v0.5.13
  [9dfe8606] SCCNonlinearSolve v1.0.0
  [94e857df] SIMDTypes v0.1.0
  [0bca4576] SciMLBase v2.82.1
  [19f34311] SciMLJacobianOperators v0.1.2
  [c0aeaf25] SciMLOperators v0.3.13
  [1ed8b502] SciMLSensitivity v7.76.0
  [53ae85a6] SciMLStructures v1.7.0
  [7e506255] ScopedValues v1.3.0
  [6c6a2e73] Scratch v1.2.1
  [efcf1570] Setfield v1.1.2
  [727e6d20] SimpleNonlinearSolve v2.2.1
  [699a6c99] SimpleTraits v0.9.4
  [ce78b400] SimpleUnPack v1.1.0
  [a2af1166] SortingAlgorithms v1.2.1
  [9f842d2f] SparseConnectivityTracer v0.6.15
  [47a9eef4] SparseDiffTools v2.24.0
  [dc90abb0] SparseInverseSubset v0.1.2
  [0a514795] SparseMatrixColorings v0.4.16
  [d4ead438] SpatialIndexing v0.1.6
  [276daf66] SpecialFunctions v2.5.0
  [aedffcd0] Static v1.2.0
  [0d7ed370] StaticArrayInterface v1.8.0
  [90137ffa] StaticArrays v1.9.13
  [1e83bf80] StaticArraysCore v1.4.3
  [10745b16] Statistics v1.11.1
  [82ae8749] StatsAPI v1.7.0
  [2913bbd2] StatsBase v0.34.4
  [4c63d2b9] StatsFuns v1.4.0
  [9672c7b4] SteadyStateDiffEq v2.5.0
  [789caeaf] StochasticDiffEq v6.75.0
  [7792a7ef] StrideArraysCore v0.5.7
  [09ab397b] StructArrays v0.7.1
  [53d494c1] StructIO v0.3.1
  [c3572dad] Sundials v4.27.0
  [2efcf032] SymbolicIndexingInterface v0.3.38
  [19f23fe9] SymbolicLimits v0.2.2
  [d1185830] SymbolicUtils v3.25.1
  [0c5d862f] Symbolics v6.37.1
  [3783bdb8] TableTraits v1.0.1
  [bd369af6] Tables v1.12.0
  [ed4db957] TaskLocalValues v0.1.2
  [8ea1fca8] TermInterface v2.0.0
  [5d786b92] TerminalLoggers v0.1.7
  [1c621080] TestItems v1.0.0
  [8290d209] ThreadingUtilities v0.5.2
  [a759f4b9] TimerOutputs v0.5.28
  [0796e94c] Tokenize v0.5.29
  [9f7883ad] Tracker v0.2.38
  [410a4b4d] Tricks v0.1.10
  [781d530d] TruncatedStacktraces v1.4.0
  [5c2747f8] URIs v1.5.2
  [3a884ed6] UnPack v1.0.2
  [1986cc42] Unitful v1.22.0
  [a7c27f48] Unityper v0.1.6
  [013be700] UnsafeAtomics v0.3.0
  [19fa3120] VertexSafeGraphs v0.2.0
  [897b6980] WeakValueDicts v0.1.0
  [e88e6eb3] Zygote v0.7.6
  [700de1a5] ZygoteRules v0.2.7
  [cd4c43a9] Dierckx_jll v0.2.0+0
  [7cc45869] Enzyme_jll v0.0.173+0
  [1d5cc7b8] IntelOpenMP_jll v2025.0.4+0
  [dad2f222] LLVMExtra_jll v0.0.35+0
  [81d17ec3] L_BFGS_B_jll v3.0.1+0
  [856f044c] MKL_jll v2025.0.1+1
  [079eb43e] NLopt_jll v2.10.0+0
  [efe28fd5] OpenSpecFun_jll v0.5.6+0
  [f50d1b31] Rmath_jll v0.5.1+0
⌅ [fb77eaff] Sundials_jll v5.2.3+0
  [1317d2d5] oneTBB_jll v2022.0.0+0
  [0dad84c5] ArgTools v1.1.2
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  [ade2ca70] Dates v1.11.0
  [8ba89e20] Distributed v1.11.0
  [f43a241f] Downloads v1.6.0
  [7b1f6079] FileWatching v1.11.0
  [9fa8497b] Future v1.11.0
  [b77e0a4c] InteractiveUtils v1.11.0
  [4af54fe1] LazyArtifacts v1.11.0
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  [8f399da3] Libdl v1.11.0
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  [56ddb016] Logging v1.11.0
  [d6f4376e] Markdown v1.11.0
  [a63ad114] Mmap v1.11.0
  [ca575930] NetworkOptions v1.2.0
  [44cfe95a] Pkg v1.11.0
  [de0858da] Printf v1.11.0
  [9a3f8284] Random v1.11.0
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  [9e88b42a] Serialization v1.11.0
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  [4607b0f0] SuiteSparse
  [fa267f1f] TOML v1.0.3
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  [8dfed614] Test v1.11.0
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  [4ec0a83e] Unicode v1.11.0
  [e66e0078] CompilerSupportLibraries_jll v1.1.1+0
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  [83775a58] Zlib_jll v1.2.13+1
  [8e850b90] libblastrampoline_jll v5.11.0+0
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        Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading.
     Testing Running tests...
Precompiling ParameterizedFunctions...
  52888.9 ms  ✓ JuliaFormatter
  42899.8 ms  ✓ SymbolicUtils
   3046.4 ms  ✓ SciMLBase → SciMLBaseMLStyleExt
   1851.1 ms  ✓ SCCNonlinearSolve
   3114.3 ms  ✓ DiffEqBase → DiffEqBaseUnitfulExt
   9777.1 ms  ✓ DiffEqCallbacks
   8185.0 ms  ✓ JumpProcesses
   5087.4 ms  ✓ SymbolicLimits
  51691.9 ms  ✓ Symbolics
  11641.8 ms  ✓ Symbolics → SymbolicsForwardDiffExt
  10198.9 ms  ✓ DifferentiationInterface → DifferentiationInterfaceSymbolicsExt
 261422.5 ms  ✓ ModelingToolkit
  39339.9 ms  ✓ ModelingToolkit → MTKChainRulesCoreExt
  38950.3 ms  ✓ ParameterizedFunctions
  14 dependencies successfully precompiled in 546 seconds. 283 already precompiled.
Precompiling SymbolicsPreallocationToolsExt...
  10532.5 ms  ✓ Symbolics → SymbolicsPreallocationToolsExt
  1 dependency successfully precompiled in 14 seconds. 154 already precompiled.
┌ Warning: Independent variable t should be defined with @independent_variables t.
└ @ ModelingToolkit ~/.julia/packages/ModelingToolkit/vIsAP/src/utils.jl:119
┌ Warning: Independent variable t should be defined with @independent_variables t.
└ @ ModelingToolkit ~/.julia/packages/ModelingToolkit/vIsAP/src/utils.jl:119
┌ Warning: Independent variable t should be defined with @independent_variables t.
└ @ ModelingToolkit ~/.julia/packages/ModelingToolkit/vIsAP/src/utils.jl:119
Precompiling BlackBoxOptim...
  10711.7 ms  ✓ BlackBoxOptim
  1 dependency successfully precompiled in 15 seconds. 54 already precompiled.
┌ Warning: `Base.getindex(A::AbstractDiffEqArray, i::Int)` is deprecated, use `Base.getindex(A, :, i)` instead.
│   caller = (::L2Loss{Vector{Float64}, Matrix{Float64}, Nothing, Nothing, Nothing})(sol::ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, Nothing, ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, var"##230"{var"###ParameterizedDiffEqFunction#232", var"###ParameterizedTGradFunction#233", var"###ParameterizedJacobianFunction#234", Nothing, Nothing, ODESystem}, Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}, SciMLBase.StandardODEProblem}, Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{var"##230"{var"###ParameterizedDiffEqFunction#232", var"###ParameterizedTGradFunction#233", var"###ParameterizedJacobianFunction#234", Nothing, Nothing, ODESystem}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, Nothing, OrdinaryDiffEqTsit5.Tsit5Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}) at cost_functions.jl:85
└ @ DiffEqParamEstim ~/.julia/packages/DiffEqParamEstim/6z5Ou/src/cost_functions.jl:85
Starting optimization with optimizer DiffEvoOpt{FitPopulation{Float64}, RadiusLimitedSelector, BlackBoxOptim.AdaptiveDiffEvoRandBin{3}, RandomBound{ContinuousRectSearchSpace}}
0.00 secs, 0 evals, 0 steps
0.57 secs, 8 evals, 4 steps, fitness=14.801435519
1.10 secs, 12 evals, 6 steps, improv/step: 0.333 (last = 1.0000), fitness=0.447786268
1.66 secs, 24 evals, 12 steps, improv/step: 0.417 (last = 0.5000), fitness=0.447786268
2.18 secs, 36 evals, 18 steps, improv/step: 0.444 (last = 0.5000), fitness=0.447786268
2.74 secs, 48 evals, 24 steps, improv/step: 0.417 (last = 0.3333), fitness=0.447786268
3.31 secs, 62 evals, 31 steps, improv/step: 0.419 (last = 0.4286), fitness=0.447786268
3.85 secs, 75 evals, 39 steps, improv/step: 0.487 (last = 0.7500), fitness=0.447786268
4.35 secs, 87 evals, 46 steps, improv/step: 0.457 (last = 0.2857), fitness=0.447786268
4.87 secs, 100 evals, 53 steps, improv/step: 0.491 (last = 0.7143), fitness=0.447786268
5.40 secs, 113 evals, 62 steps, improv/step: 0.468 (last = 0.3333), fitness=0.447786268
5.95 secs, 126 evals, 70 steps, improv/step: 0.443 (last = 0.2500), fitness=0.447786268
6.51 secs, 140 evals, 79 steps, improv/step: 0.443 (last = 0.4444), fitness=0.447786268
7.05 secs, 153 evals, 90 steps, improv/step: 0.422 (last = 0.2727), fitness=0.447786268
7.58 secs, 166 evals, 99 steps, improv/step: 0.404 (last = 0.2222), fitness=0.447786268
8.14 secs, 180 evals, 108 steps, improv/step: 0.389 (last = 0.2222), fitness=0.447786268
8.69 secs, 193 evals, 118 steps, improv/step: 0.390 (last = 0.4000), fitness=0.447786268
9.27 secs, 207 evals, 128 steps, improv/step: 0.383 (last = 0.3000), fitness=0.366769298
9.77 secs, 219 evals, 139 steps, improv/step: 0.360 (last = 0.0909), fitness=0.366769298
10.30 secs, 232 evals, 147 steps, improv/step: 0.367 (last = 0.5000), fitness=0.040332827
10.80 secs, 244 evals, 154 steps, improv/step: 0.357 (last = 0.1429), fitness=0.040332827
11.33 secs, 257 evals, 165 steps, improv/step: 0.358 (last = 0.3636), fitness=0.040332827
11.87 secs, 270 evals, 176 steps, improv/step: 0.358 (last = 0.3636), fitness=0.040332827
12.37 secs, 282 evals, 184 steps, improv/step: 0.353 (last = 0.2500), fitness=0.040332827
12.94 secs, 296 evals, 193 steps, improv/step: 0.352 (last = 0.3333), fitness=0.040332827
13.47 secs, 309 evals, 203 steps, improv/step: 0.360 (last = 0.5000), fitness=0.040332827
14.00 secs, 322 evals, 214 steps, improv/step: 0.360 (last = 0.3636), fitness=0.040332827
14.54 secs, 335 evals, 225 steps, improv/step: 0.356 (last = 0.2727), fitness=0.040332827
15.05 secs, 347 evals, 236 steps, improv/step: 0.352 (last = 0.2727), fitness=0.040332827
15.56 secs, 359 evals, 247 steps, improv/step: 0.352 (last = 0.3636), fitness=0.040332827
16.09 secs, 372 evals, 260 steps, improv/step: 0.342 (last = 0.1538), fitness=0.040332827
16.62 secs, 385 evals, 272 steps, improv/step: 0.338 (last = 0.2500), fitness=0.040332827
17.12 secs, 397 evals, 283 steps, improv/step: 0.343 (last = 0.4545), fitness=0.039796926
17.66 secs, 410 evals, 296 steps, improv/step: 0.348 (last = 0.4615), fitness=0.039796926
18.19 secs, 423 evals, 307 steps, improv/step: 0.349 (last = 0.3636), fitness=0.039796926
18.71 secs, 436 evals, 319 steps, improv/step: 0.342 (last = 0.1667), fitness=0.039796926
19.25 secs, 450 evals, 332 steps, improv/step: 0.346 (last = 0.4615), fitness=0.039796926
19.77 secs, 462 evals, 344 steps, improv/step: 0.352 (last = 0.5000), fitness=0.039796926
20.31 secs, 475 evals, 357 steps, improv/step: 0.350 (last = 0.3077), fitness=0.039796926
20.84 secs, 488 evals, 370 steps, improv/step: 0.351 (last = 0.3846), fitness=0.039796926
21.36 secs, 501 evals, 382 steps, improv/step: 0.356 (last = 0.5000), fitness=0.039796926
21.89 secs, 514 evals, 395 steps, improv/step: 0.362 (last = 0.5385), fitness=0.039796926
22.40 secs, 527 evals, 408 steps, improv/step: 0.363 (last = 0.3846), fitness=0.039312448
22.90 secs, 540 evals, 421 steps, improv/step: 0.368 (last = 0.5385), fitness=0.039312448
23.40 secs, 552 evals, 433 steps, improv/step: 0.365 (last = 0.2500), fitness=0.039312448
23.91 secs, 564 evals, 445 steps, improv/step: 0.364 (last = 0.3333), fitness=0.039312448
24.41 secs, 576 evals, 457 steps, improv/step: 0.368 (last = 0.5000), fitness=0.039312448
24.92 secs, 589 evals, 470 steps, improv/step: 0.368 (last = 0.3846), fitness=0.039312448
25.45 secs, 602 evals, 483 steps, improv/step: 0.371 (last = 0.4615), fitness=0.039312448
25.98 secs, 616 evals, 497 steps, improv/step: 0.368 (last = 0.2857), fitness=0.039312448
26.49 secs, 629 evals, 510 steps, improv/step: 0.373 (last = 0.5385), fitness=0.039312448
27.03 secs, 642 evals, 523 steps, improv/step: 0.375 (last = 0.4615), fitness=0.039312448
27.54 secs, 655 evals, 536 steps, improv/step: 0.373 (last = 0.3077), fitness=0.039312448
28.05 secs, 667 evals, 548 steps, improv/step: 0.372 (last = 0.3333), fitness=0.039312448
28.58 secs, 680 evals, 561 steps, improv/step: 0.373 (last = 0.3846), fitness=0.039312448
29.08 secs, 693 evals, 574 steps, improv/step: 0.378 (last = 0.6154), fitness=0.039312448
29.61 secs, 706 evals, 587 steps, improv/step: 0.380 (last = 0.4615), fitness=0.039312448
30.13 secs, 720 evals, 601 steps, improv/step: 0.378 (last = 0.2857), fitness=0.039312448
30.65 secs, 733 evals, 614 steps, improv/step: 0.378 (last = 0.3846), fitness=0.039312448
31.17 secs, 746 evals, 627 steps, improv/step: 0.381 (last = 0.5385), fitness=0.038852844
31.70 secs, 759 evals, 640 steps, improv/step: 0.384 (last = 0.5385), fitness=0.038852844
32.23 secs, 772 evals, 653 steps, improv/step: 0.389 (last = 0.6154), fitness=0.038852844
32.75 secs, 785 evals, 666 steps, improv/step: 0.387 (last = 0.3077), fitness=0.038839867
33.27 secs, 798 evals, 679 steps, improv/step: 0.389 (last = 0.4615), fitness=0.038839867
33.79 secs, 811 evals, 692 steps, improv/step: 0.390 (last = 0.4615), fitness=0.038839867
34.33 secs, 824 evals, 705 steps, improv/step: 0.391 (last = 0.4615), fitness=0.038839867
34.85 secs, 837 evals, 718 steps, improv/step: 0.387 (last = 0.1538), fitness=0.038839867
35.35 secs, 849 evals, 730 steps, improv/step: 0.386 (last = 0.3333), fitness=0.038839867
35.89 secs, 862 evals, 743 steps, improv/step: 0.385 (last = 0.3077), fitness=0.038839867
36.40 secs, 875 evals, 756 steps, improv/step: 0.381 (last = 0.1538), fitness=0.038839867
36.93 secs, 888 evals, 769 steps, improv/step: 0.385 (last = 0.6154), fitness=0.038839125
37.46 secs, 901 evals, 782 steps, improv/step: 0.385 (last = 0.3846), fitness=0.038839125
37.98 secs, 914 evals, 795 steps, improv/step: 0.384 (last = 0.3077), fitness=0.038839125
38.51 secs, 927 evals, 808 steps, improv/step: 0.381 (last = 0.2308), fitness=0.038839125
39.04 secs, 942 evals, 823 steps, improv/step: 0.380 (last = 0.3333), fitness=0.038839125
39.56 secs, 955 evals, 836 steps, improv/step: 0.385 (last = 0.6923), fitness=0.038839125
40.09 secs, 968 evals, 849 steps, improv/step: 0.388 (last = 0.5385), fitness=0.038839125
40.59 secs, 980 evals, 861 steps, improv/step: 0.389 (last = 0.5000), fitness=0.038839009
41.09 secs, 992 evals, 873 steps, improv/step: 0.391 (last = 0.5000), fitness=0.038839009
41.60 secs, 1004 evals, 885 steps, improv/step: 0.392 (last = 0.5000), fitness=0.038839009
42.10 secs, 1016 evals, 897 steps, improv/step: 0.390 (last = 0.2500), fitness=0.038839009
42.61 secs, 1028 evals, 909 steps, improv/step: 0.388 (last = 0.2500), fitness=0.038839009
43.11 secs, 1040 evals, 921 steps, improv/step: 0.390 (last = 0.5000), fitness=0.038839009
43.64 secs, 1053 evals, 934 steps, improv/step: 0.390 (last = 0.3846), fitness=0.038839009
44.15 secs, 1065 evals, 946 steps, improv/step: 0.389 (last = 0.3333), fitness=0.038839009
44.68 secs, 1078 evals, 959 steps, improv/step: 0.388 (last = 0.3077), fitness=0.038839009
45.21 secs, 1091 evals, 972 steps, improv/step: 0.383 (last = 0.0000), fitness=0.038839009
45.73 secs, 1104 evals, 985 steps, improv/step: 0.383 (last = 0.3846), fitness=0.038839009
46.26 secs, 1117 evals, 998 steps, improv/step: 0.383 (last = 0.3846), fitness=0.038839009
46.80 secs, 1130 evals, 1011 steps, improv/step: 0.380 (last = 0.1538), fitness=0.038839009
47.31 secs, 1143 evals, 1024 steps, improv/step: 0.379 (last = 0.3077), fitness=0.038839009
47.83 secs, 1156 evals, 1037 steps, improv/step: 0.377 (last = 0.2308), fitness=0.038839009
48.36 secs, 1169 evals, 1050 steps, improv/step: 0.375 (last = 0.2308), fitness=0.038839009
48.89 secs, 1182 evals, 1063 steps, improv/step: 0.373 (last = 0.1538), fitness=0.038839009
49.43 secs, 1195 evals, 1076 steps, improv/step: 0.373 (last = 0.3846), fitness=0.038839009
49.94 secs, 1208 evals, 1089 steps, improv/step: 0.375 (last = 0.5385), fitness=0.038839009
50.47 secs, 1221 evals, 1102 steps, improv/step: 0.374 (last = 0.3077), fitness=0.038839009
51.00 secs, 1234 evals, 1115 steps, improv/step: 0.373 (last = 0.3077), fitness=0.038839009
51.52 secs, 1247 evals, 1128 steps, improv/step: 0.370 (last = 0.0769), fitness=0.038839009
52.03 secs, 1259 evals, 1140 steps, improv/step: 0.368 (last = 0.2500), fitness=0.038839009
52.55 secs, 1272 evals, 1153 steps, improv/step: 0.369 (last = 0.3846), fitness=0.038839009
53.08 secs, 1285 evals, 1166 steps, improv/step: 0.369 (last = 0.3846), fitness=0.038839009
53.59 secs, 1298 evals, 1179 steps, improv/step: 0.370 (last = 0.4615), fitness=0.038839009
54.10 secs, 1310 evals, 1191 steps, improv/step: 0.369 (last = 0.3333), fitness=0.038839009
54.63 secs, 1323 evals, 1204 steps, improv/step: 0.368 (last = 0.2308), fitness=0.038839009
55.14 secs, 1335 evals, 1216 steps, improv/step: 0.366 (last = 0.1667), fitness=0.038839009
55.68 secs, 1348 evals, 1229 steps, improv/step: 0.365 (last = 0.3077), fitness=0.038839009
56.19 secs, 1361 evals, 1242 steps, improv/step: 0.366 (last = 0.3846), fitness=0.038839009
56.71 secs, 1374 evals, 1255 steps, improv/step: 0.363 (last = 0.1538), fitness=0.038839009
57.25 secs, 1387 evals, 1268 steps, improv/step: 0.363 (last = 0.3077), fitness=0.038839009
57.78 secs, 1400 evals, 1281 steps, improv/step: 0.361 (last = 0.1538), fitness=0.038839009
58.28 secs, 1417 evals, 1298 steps, improv/step: 0.357 (last = 0.1176), fitness=0.038839009
58.80 secs, 1435 evals, 1316 steps, improv/step: 0.355 (last = 0.1667), fitness=0.038839009
59.30 secs, 1448 evals, 1329 steps, improv/step: 0.356 (last = 0.4615), fitness=0.038839009
59.81 secs, 1464 evals, 1345 steps, improv/step: 0.357 (last = 0.4375), fitness=0.038839009
60.32 secs, 1481 evals, 1362 steps, improv/step: 0.356 (last = 0.2941), fitness=0.038839009
60.84 secs, 1494 evals, 1375 steps, improv/step: 0.357 (last = 0.4615), fitness=0.038839009
61.36 secs, 1509 evals, 1390 steps, improv/step: 0.355 (last = 0.2000), fitness=0.038839006
61.89 secs, 1522 evals, 1403 steps, improv/step: 0.356 (last = 0.3846), fitness=0.038839006
62.41 secs, 1537 evals, 1418 steps, improv/step: 0.353 (last = 0.1333), fitness=0.038839006
62.93 secs, 1550 evals, 1431 steps, improv/step: 0.353 (last = 0.3077), fitness=0.038839006
63.44 secs, 1563 evals, 1444 steps, improv/step: 0.353 (last = 0.3846), fitness=0.038839006
63.96 secs, 1576 evals, 1457 steps, improv/step: 0.353 (last = 0.3077), fitness=0.038839006
64.48 secs, 1589 evals, 1470 steps, improv/step: 0.354 (last = 0.4615), fitness=0.038839006
65.00 secs, 1602 evals, 1483 steps, improv/step: 0.355 (last = 0.4615), fitness=0.038839006
65.52 secs, 1615 evals, 1496 steps, improv/step: 0.354 (last = 0.3077), fitness=0.038839006
66.03 secs, 1628 evals, 1509 steps, improv/step: 0.353 (last = 0.1538), fitness=0.038839006
66.56 secs, 1641 evals, 1522 steps, improv/step: 0.352 (last = 0.2308), fitness=0.038839006
67.08 secs, 1654 evals, 1535 steps, improv/step: 0.351 (last = 0.3077), fitness=0.038839006
67.60 secs, 1667 evals, 1548 steps, improv/step: 0.351 (last = 0.3846), fitness=0.038839006
68.13 secs, 1680 evals, 1561 steps, improv/step: 0.352 (last = 0.3846), fitness=0.038839006
68.64 secs, 1693 evals, 1574 steps, improv/step: 0.352 (last = 0.3846), fitness=0.038839006
69.17 secs, 1706 evals, 1587 steps, improv/step: 0.352 (last = 0.3077), fitness=0.038839006
69.68 secs, 1719 evals, 1600 steps, improv/step: 0.350 (last = 0.1538), fitness=0.038839006
70.20 secs, 1732 evals, 1613 steps, improv/step: 0.350 (last = 0.3077), fitness=0.038839006
70.71 secs, 1744 evals, 1625 steps, improv/step: 0.350 (last = 0.4167), fitness=0.038839006
71.22 secs, 1756 evals, 1637 steps, improv/step: 0.349 (last = 0.1667), fitness=0.038839006
71.75 secs, 1769 evals, 1650 steps, improv/step: 0.351 (last = 0.6154), fitness=0.038839006
72.27 secs, 1782 evals, 1663 steps, improv/step: 0.350 (last = 0.2308), fitness=0.038839005
72.80 secs, 1795 evals, 1676 steps, improv/step: 0.350 (last = 0.3846), fitness=0.038839005
73.33 secs, 1808 evals, 1689 steps, improv/step: 0.349 (last = 0.2308), fitness=0.038839005
73.85 secs, 1821 evals, 1702 steps, improv/step: 0.350 (last = 0.4615), fitness=0.038839005
74.39 secs, 1834 evals, 1715 steps, improv/step: 0.349 (last = 0.1538), fitness=0.038839005
74.92 secs, 1847 evals, 1728 steps, improv/step: 0.348 (last = 0.3077), fitness=0.038839005
75.43 secs, 1860 evals, 1741 steps, improv/step: 0.348 (last = 0.3077), fitness=0.038839005
75.93 secs, 1872 evals, 1753 steps, improv/step: 0.347 (last = 0.2500), fitness=0.038839005
76.43 secs, 1884 evals, 1765 steps, improv/step: 0.347 (last = 0.2500), fitness=0.038839005
76.97 secs, 1897 evals, 1778 steps, improv/step: 0.348 (last = 0.4615), fitness=0.038839005
77.47 secs, 1909 evals, 1790 steps, improv/step: 0.347 (last = 0.2500), fitness=0.038839004
77.99 secs, 1922 evals, 1803 steps, improv/step: 0.346 (last = 0.2308), fitness=0.038839004
78.50 secs, 1935 evals, 1816 steps, improv/step: 0.346 (last = 0.3077), fitness=0.038839004
79.03 secs, 1948 evals, 1829 steps, improv/step: 0.346 (last = 0.3846), fitness=0.038839004
79.56 secs, 1962 evals, 1843 steps, improv/step: 0.346 (last = 0.3571), fitness=0.038839004
80.10 secs, 1975 evals, 1856 steps, improv/step: 0.345 (last = 0.1538), fitness=0.038839004
80.62 secs, 1988 evals, 1869 steps, improv/step: 0.344 (last = 0.2308), fitness=0.038839004
81.14 secs, 2001 evals, 1882 steps, improv/step: 0.344 (last = 0.3077), fitness=0.038839004
81.64 secs, 2013 evals, 1894 steps, improv/step: 0.345 (last = 0.5833), fitness=0.038839004
82.18 secs, 2026 evals, 1907 steps, improv/step: 0.345 (last = 0.2308), fitness=0.038839004
82.68 secs, 2038 evals, 1919 steps, improv/step: 0.343 (last = 0.0833), fitness=0.038839004
83.22 secs, 2051 evals, 1932 steps, improv/step: 0.341 (last = 0.0769), fitness=0.038839004
83.75 secs, 2064 evals, 1945 steps, improv/step: 0.341 (last = 0.3077), fitness=0.038839004
84.26 secs, 2077 evals, 1958 steps, improv/step: 0.340 (last = 0.2308), fitness=0.038839004
84.76 secs, 2090 evals, 1971 steps, improv/step: 0.340 (last = 0.3077), fitness=0.038839004
85.30 secs, 2103 evals, 1984 steps, improv/step: 0.339 (last = 0.1538), fitness=0.038839004
85.83 secs, 2117 evals, 1998 steps, improv/step: 0.338 (last = 0.2857), fitness=0.038839004
86.33 secs, 2129 evals, 2010 steps, improv/step: 0.337 (last = 0.1667), fitness=0.038839004
86.85 secs, 2142 evals, 2023 steps, improv/step: 0.336 (last = 0.1538), fitness=0.038839004
87.36 secs, 2154 evals, 2035 steps, improv/step: 0.334 (last = 0.0000), fitness=0.038839004
87.87 secs, 2166 evals, 2047 steps, improv/step: 0.333 (last = 0.1667), fitness=0.038839004
88.37 secs, 2178 evals, 2059 steps, improv/step: 0.333 (last = 0.2500), fitness=0.038839004
88.91 secs, 2191 evals, 2072 steps, improv/step: 0.332 (last = 0.2308), fitness=0.038839004
89.45 secs, 2204 evals, 2085 steps, improv/step: 0.332 (last = 0.3077), fitness=0.038839004
89.96 secs, 2216 evals, 2097 steps, improv/step: 0.332 (last = 0.3333), fitness=0.038839004
90.48 secs, 2229 evals, 2110 steps, improv/step: 0.330 (last = 0.0000), fitness=0.038839004
91.01 secs, 2242 evals, 2123 steps, improv/step: 0.328 (last = 0.0769), fitness=0.038839004
91.51 secs, 2255 evals, 2136 steps, improv/step: 0.327 (last = 0.0769), fitness=0.038839004
92.03 secs, 2269 evals, 2150 steps, improv/step: 0.326 (last = 0.1429), fitness=0.038839004
92.54 secs, 2283 evals, 2164 steps, improv/step: 0.324 (last = 0.0714), fitness=0.038839004
93.04 secs, 2295 evals, 2176 steps, improv/step: 0.324 (last = 0.2500), fitness=0.038839004
93.55 secs, 2308 evals, 2189 steps, improv/step: 0.323 (last = 0.2308), fitness=0.038839004
94.06 secs, 2321 evals, 2202 steps, improv/step: 0.321 (last = 0.0000), fitness=0.038839004
94.57 secs, 2334 evals, 2215 steps, improv/step: 0.320 (last = 0.1538), fitness=0.038839004
95.10 secs, 2347 evals, 2228 steps, improv/step: 0.319 (last = 0.0769), fitness=0.038839004
95.63 secs, 2360 evals, 2241 steps, improv/step: 0.318 (last = 0.1538), fitness=0.038839004
96.14 secs, 2373 evals, 2254 steps, improv/step: 0.317 (last = 0.1538), fitness=0.038839004
96.64 secs, 2385 evals, 2266 steps, improv/step: 0.316 (last = 0.0833), fitness=0.038839004
97.16 secs, 2398 evals, 2279 steps, improv/step: 0.315 (last = 0.2308), fitness=0.038839004
97.68 secs, 2411 evals, 2292 steps, improv/step: 0.313 (last = 0.0000), fitness=0.038839004
98.20 secs, 2424 evals, 2305 steps, improv/step: 0.313 (last = 0.2308), fitness=0.038839004
98.71 secs, 2436 evals, 2317 steps, improv/step: 0.311 (last = 0.0000), fitness=0.038839004
99.24 secs, 2449 evals, 2330 steps, improv/step: 0.311 (last = 0.2308), fitness=0.038839004
99.75 secs, 2462 evals, 2343 steps, improv/step: 0.309 (last = 0.0000), fitness=0.038839004
100.26 secs, 2476 evals, 2358 steps, improv/step: 0.307 (last = 0.0667), fitness=0.038839004
100.78 secs, 2490 evals, 2372 steps, improv/step: 0.306 (last = 0.0000), fitness=0.038839004
101.31 secs, 2503 evals, 2385 steps, improv/step: 0.304 (last = 0.0000), fitness=0.038839004
101.82 secs, 2516 evals, 2398 steps, improv/step: 0.302 (last = 0.0000), fitness=0.038839004
102.33 secs, 2529 evals, 2411 steps, improv/step: 0.301 (last = 0.0769), fitness=0.038839004
102.84 secs, 2542 evals, 2424 steps, improv/step: 0.300 (last = 0.1538), fitness=0.038839004
103.36 secs, 2555 evals, 2437 steps, improv/step: 0.299 (last = 0.0000), fitness=0.038839004
103.87 secs, 2568 evals, 2450 steps, improv/step: 0.298 (last = 0.1538), fitness=0.038839004
104.40 secs, 2581 evals, 2463 steps, improv/step: 0.297 (last = 0.0769), fitness=0.038839004
104.90 secs, 2594 evals, 2476 steps, improv/step: 0.296 (last = 0.1538), fitness=0.038839004
105.42 secs, 2608 evals, 2490 steps, improv/step: 0.296 (last = 0.2857), fitness=0.038839004
105.94 secs, 2620 evals, 2502 steps, improv/step: 0.295 (last = 0.0000), fitness=0.038839004
106.44 secs, 2633 evals, 2515 steps, improv/step: 0.294 (last = 0.1538), fitness=0.038839004
106.96 secs, 2646 evals, 2528 steps, improv/step: 0.293 (last = 0.0769), fitness=0.038839004
107.46 secs, 2659 evals, 2541 steps, improv/step: 0.291 (last = 0.0000), fitness=0.038839004
107.99 secs, 2673 evals, 2555 steps, improv/step: 0.290 (last = 0.0000), fitness=0.038839004
108.49 secs, 2685 evals, 2567 steps, improv/step: 0.288 (last = 0.0000), fitness=0.038839004
109.03 secs, 2698 evals, 2580 steps, improv/step: 0.287 (last = 0.0769), fitness=0.038839004
109.56 secs, 2711 evals, 2593 steps, improv/step: 0.286 (last = 0.0000), fitness=0.038839004
110.06 secs, 2723 evals, 2605 steps, improv/step: 0.285 (last = 0.0833), fitness=0.038839004
110.57 secs, 2736 evals, 2618 steps, improv/step: 0.284 (last = 0.0769), fitness=0.038839004
111.09 secs, 2749 evals, 2631 steps, improv/step: 0.284 (last = 0.2308), fitness=0.038839004
111.60 secs, 2762 evals, 2644 steps, improv/step: 0.283 (last = 0.0769), fitness=0.038839004
112.13 secs, 2775 evals, 2657 steps, improv/step: 0.282 (last = 0.1538), fitness=0.038839004
112.65 secs, 2787 evals, 2669 steps, improv/step: 0.281 (last = 0.0833), fitness=0.038839004
113.15 secs, 2799 evals, 2681 steps, improv/step: 0.280 (last = 0.0833), fitness=0.038839004
113.65 secs, 2811 evals, 2693 steps, improv/step: 0.279 (last = 0.0833), fitness=0.038839004
114.15 secs, 2823 evals, 2705 steps, improv/step: 0.278 (last = 0.0000), fitness=0.038839004
114.67 secs, 2835 evals, 2717 steps, improv/step: 0.277 (last = 0.0000), fitness=0.038839004
115.18 secs, 2847 evals, 2729 steps, improv/step: 0.277 (last = 0.2500), fitness=0.038839004
115.69 secs, 2859 evals, 2741 steps, improv/step: 0.276 (last = 0.1667), fitness=0.038839004
116.23 secs, 2872 evals, 2754 steps, improv/step: 0.275 (last = 0.0769), fitness=0.038839004
116.73 secs, 2884 evals, 2766 steps, improv/step: 0.275 (last = 0.3333), fitness=0.038839004
117.23 secs, 2896 evals, 2778 steps, improv/step: 0.275 (last = 0.0833), fitness=0.038839004
117.74 secs, 2908 evals, 2790 steps, improv/step: 0.274 (last = 0.1667), fitness=0.038839004
118.25 secs, 2920 evals, 2802 steps, improv/step: 0.273 (last = 0.0000), fitness=0.038839004
118.79 secs, 2933 evals, 2815 steps, improv/step: 0.272 (last = 0.0769), fitness=0.038839004
119.31 secs, 2945 evals, 2827 steps, improv/step: 0.271 (last = 0.0833), fitness=0.038839004
119.85 secs, 2958 evals, 2840 steps, improv/step: 0.270 (last = 0.0769), fitness=0.038839004
120.39 secs, 2971 evals, 2853 steps, improv/step: 0.270 (last = 0.1538), fitness=0.038839004
120.92 secs, 2984 evals, 2866 steps, improv/step: 0.270 (last = 0.2308), fitness=0.038839004
121.42 secs, 2996 evals, 2878 steps, improv/step: 0.269 (last = 0.0000), fitness=0.038839004
121.97 secs, 3009 evals, 2891 steps, improv/step: 0.268 (last = 0.0769), fitness=0.038839004
122.51 secs, 3022 evals, 2904 steps, improv/step: 0.267 (last = 0.1538), fitness=0.038839004
123.05 secs, 3035 evals, 2917 steps, improv/step: 0.267 (last = 0.3077), fitness=0.038839004
123.55 secs, 3047 evals, 2929 steps, improv/step: 0.267 (last = 0.0833), fitness=0.038839004
124.07 secs, 3059 evals, 2941 steps, improv/step: 0.266 (last = 0.0833), fitness=0.038839004
124.61 secs, 3072 evals, 2954 steps, improv/step: 0.265 (last = 0.1538), fitness=0.038839004
125.11 secs, 3084 evals, 2966 steps, improv/step: 0.265 (last = 0.0833), fitness=0.038839004
125.64 secs, 3097 evals, 2979 steps, improv/step: 0.264 (last = 0.0000), fitness=0.038839004
126.15 secs, 3109 evals, 2991 steps, improv/step: 0.263 (last = 0.1667), fitness=0.038839004
126.65 secs, 3121 evals, 3003 steps, improv/step: 0.262 (last = 0.0000), fitness=0.038839004
127.19 secs, 3134 evals, 3016 steps, improv/step: 0.261 (last = 0.0769), fitness=0.038839004
127.69 secs, 3146 evals, 3028 steps, improv/step: 0.261 (last = 0.1667), fitness=0.038839004
128.22 secs, 3159 evals, 3041 steps, improv/step: 0.260 (last = 0.0769), fitness=0.038839004
128.73 secs, 3171 evals, 3053 steps, improv/step: 0.260 (last = 0.1667), fitness=0.038839004
129.27 secs, 3184 evals, 3066 steps, improv/step: 0.259 (last = 0.1538), fitness=0.038839004
129.77 secs, 3196 evals, 3078 steps, improv/step: 0.259 (last = 0.0833), fitness=0.038839004
130.28 secs, 3208 evals, 3090 steps, improv/step: 0.258 (last = 0.0833), fitness=0.038839004
130.78 secs, 3220 evals, 3102 steps, improv/step: 0.257 (last = 0.0000), fitness=0.038839004
131.31 secs, 3233 evals, 3115 steps, improv/step: 0.257 (last = 0.3077), fitness=0.038839004
131.82 secs, 3246 evals, 3128 steps, improv/step: 0.256 (last = 0.0769), fitness=0.038839004
132.33 secs, 3259 evals, 3141 steps, improv/step: 0.256 (last = 0.0769), fitness=0.038839004
132.86 secs, 3272 evals, 3154 steps, improv/step: 0.256 (last = 0.2308), fitness=0.038839004
133.39 secs, 3285 evals, 3167 steps, improv/step: 0.254 (last = 0.0000), fitness=0.038839004
133.92 secs, 3298 evals, 3180 steps, improv/step: 0.254 (last = 0.0769), fitness=0.038839004
134.45 secs, 3311 evals, 3193 steps, improv/step: 0.253 (last = 0.1538), fitness=0.038839004
134.98 secs, 3324 evals, 3206 steps, improv/step: 0.253 (last = 0.2308), fitness=0.038839004
135.49 secs, 3337 evals, 3219 steps, improv/step: 0.252 (last = 0.0000), fitness=0.038839004
136.02 secs, 3350 evals, 3232 steps, improv/step: 0.252 (last = 0.3077), fitness=0.038839004
136.54 secs, 3363 evals, 3245 steps, improv/step: 0.252 (last = 0.1538), fitness=0.038839004
137.07 secs, 3376 evals, 3258 steps, improv/step: 0.252 (last = 0.2308), fitness=0.038839004
137.61 secs, 3389 evals, 3271 steps, improv/step: 0.252 (last = 0.3077), fitness=0.038839004
138.14 secs, 3403 evals, 3285 steps, improv/step: 0.252 (last = 0.2143), fitness=0.038839004
138.64 secs, 3415 evals, 3297 steps, improv/step: 0.252 (last = 0.2500), fitness=0.038839004
139.17 secs, 3428 evals, 3310 steps, improv/step: 0.251 (last = 0.0769), fitness=0.038839004
139.68 secs, 3441 evals, 3323 steps, improv/step: 0.251 (last = 0.0769), fitness=0.038839004
140.20 secs, 3454 evals, 3336 steps, improv/step: 0.250 (last = 0.1538), fitness=0.038839004
140.73 secs, 3467 evals, 3349 steps, improv/step: 0.250 (last = 0.0769), fitness=0.038839004
141.24 secs, 3479 evals, 3361 steps, improv/step: 0.250 (last = 0.3333), fitness=0.038839004
141.77 secs, 3492 evals, 3374 steps, improv/step: 0.249 (last = 0.0769), fitness=0.038839004
142.29 secs, 3504 evals, 3386 steps, improv/step: 0.250 (last = 0.3333), fitness=0.038839004
142.80 secs, 3516 evals, 3398 steps, improv/step: 0.249 (last = 0.1667), fitness=0.038839004
143.32 secs, 3528 evals, 3410 steps, improv/step: 0.250 (last = 0.3333), fitness=0.038839004
143.82 secs, 3540 evals, 3422 steps, improv/step: 0.250 (last = 0.2500), fitness=0.038839004
144.34 secs, 3552 evals, 3434 steps, improv/step: 0.249 (last = 0.1667), fitness=0.038839004
144.85 secs, 3564 evals, 3446 steps, improv/step: 0.249 (last = 0.1667), fitness=0.038839004
145.36 secs, 3576 evals, 3458 steps, improv/step: 0.248 (last = 0.0000), fitness=0.038839004
145.88 secs, 3588 evals, 3470 steps, improv/step: 0.248 (last = 0.3333), fitness=0.038839004
146.38 secs, 3600 evals, 3482 steps, improv/step: 0.249 (last = 0.3333), fitness=0.038839004
146.90 secs, 3612 evals, 3494 steps, improv/step: 0.249 (last = 0.3333), fitness=0.038839004
147.41 secs, 3624 evals, 3506 steps, improv/step: 0.248 (last = 0.0833), fitness=0.038839004
147.92 secs, 3636 evals, 3518 steps, improv/step: 0.248 (last = 0.1667), fitness=0.038839004
148.43 secs, 3648 evals, 3530 steps, improv/step: 0.248 (last = 0.3333), fitness=0.038839004
148.95 secs, 3660 evals, 3542 steps, improv/step: 0.249 (last = 0.3333), fitness=0.038839004
149.45 secs, 3672 evals, 3554 steps, improv/step: 0.249 (last = 0.4167), fitness=0.038839004
149.97 secs, 3684 evals, 3566 steps, improv/step: 0.249 (last = 0.1667), fitness=0.038839004
150.47 secs, 3696 evals, 3578 steps, improv/step: 0.250 (last = 0.4167), fitness=0.038839004
150.98 secs, 3708 evals, 3590 steps, improv/step: 0.250 (last = 0.2500), fitness=0.038839004
151.49 secs, 3720 evals, 3602 steps, improv/step: 0.249 (last = 0.1667), fitness=0.038839004
151.99 secs, 3732 evals, 3614 steps, improv/step: 0.250 (last = 0.4167), fitness=0.038839004
152.51 secs, 3744 evals, 3626 steps, improv/step: 0.250 (last = 0.1667), fitness=0.038839004
153.01 secs, 3756 evals, 3638 steps, improv/step: 0.250 (last = 0.2500), fitness=0.038839004
153.52 secs, 3768 evals, 3650 steps, improv/step: 0.249 (last = 0.1667), fitness=0.038839004
154.04 secs, 3780 evals, 3662 steps, improv/step: 0.249 (last = 0.0833), fitness=0.038839004
154.56 secs, 3792 evals, 3674 steps, improv/step: 0.249 (last = 0.3333), fitness=0.038839004
155.06 secs, 3804 evals, 3686 steps, improv/step: 0.250 (last = 0.5000), fitness=0.038839004
155.57 secs, 3816 evals, 3698 steps, improv/step: 0.249 (last = 0.0000), fitness=0.038839004
156.07 secs, 3828 evals, 3710 steps, improv/step: 0.249 (last = 0.1667), fitness=0.038839004
156.58 secs, 3840 evals, 3722 steps, improv/step: 0.249 (last = 0.3333), fitness=0.038839004
157.09 secs, 3852 evals, 3734 steps, improv/step: 0.249 (last = 0.2500), fitness=0.038839004
157.60 secs, 3864 evals, 3746 steps, improv/step: 0.249 (last = 0.3333), fitness=0.038839004
158.11 secs, 3876 evals, 3758 steps, improv/step: 0.249 (last = 0.2500), fitness=0.038839004
158.61 secs, 3888 evals, 3770 steps, improv/step: 0.249 (last = 0.2500), fitness=0.038839004
159.13 secs, 3900 evals, 3782 steps, improv/step: 0.250 (last = 0.3333), fitness=0.038839004
159.63 secs, 3912 evals, 3794 steps, improv/step: 0.250 (last = 0.3333), fitness=0.038839004
160.15 secs, 3924 evals, 3806 steps, improv/step: 0.250 (last = 0.4167), fitness=0.038839004
160.65 secs, 3936 evals, 3818 steps, improv/step: 0.251 (last = 0.4167), fitness=0.038839004
161.16 secs, 3948 evals, 3830 steps, improv/step: 0.251 (last = 0.3333), fitness=0.038839004
161.67 secs, 3961 evals, 3843 steps, improv/step: 0.252 (last = 0.3846), fitness=0.038839004
162.18 secs, 3974 evals, 3856 steps, improv/step: 0.252 (last = 0.4615), fitness=0.038839004
162.69 secs, 3986 evals, 3868 steps, improv/step: 0.252 (last = 0.0000), fitness=0.038839004
163.21 secs, 3999 evals, 3881 steps, improv/step: 0.251 (last = 0.1538), fitness=0.038839004
163.74 secs, 4012 evals, 3894 steps, improv/step: 0.251 (last = 0.2308), fitness=0.038839004
164.24 secs, 4025 evals, 3907 steps, improv/step: 0.252 (last = 0.5385), fitness=0.038839004
164.75 secs, 4038 evals, 3920 steps, improv/step: 0.252 (last = 0.2308), fitness=0.038839004
165.26 secs, 4051 evals, 3933 steps, improv/step: 0.252 (last = 0.1538), fitness=0.038839004
165.77 secs, 4064 evals, 3946 steps, improv/step: 0.252 (last = 0.4615), fitness=0.038839004
166.29 secs, 4077 evals, 3959 steps, improv/step: 0.252 (last = 0.1538), fitness=0.038839004
166.82 secs, 4090 evals, 3972 steps, improv/step: 0.253 (last = 0.4615), fitness=0.038839004
167.33 secs, 4102 evals, 3984 steps, improv/step: 0.253 (last = 0.2500), fitness=0.038839004
167.86 secs, 4115 evals, 3997 steps, improv/step: 0.253 (last = 0.4615), fitness=0.038839004
168.39 secs, 4128 evals, 4010 steps, improv/step: 0.253 (last = 0.1538), fitness=0.038839004
168.91 secs, 4141 evals, 4023 steps, improv/step: 0.253 (last = 0.2308), fitness=0.038839004
169.42 secs, 4154 evals, 4036 steps, improv/step: 0.253 (last = 0.3846), fitness=0.038839004
169.93 secs, 4167 evals, 4049 steps, improv/step: 0.254 (last = 0.3077), fitness=0.038839004
170.44 secs, 4180 evals, 4062 steps, improv/step: 0.254 (last = 0.3077), fitness=0.038839004
170.95 secs, 4193 evals, 4075 steps, improv/step: 0.254 (last = 0.3846), fitness=0.038839004
171.48 secs, 4206 evals, 4088 steps, improv/step: 0.254 (last = 0.1538), fitness=0.038839004
171.98 secs, 4218 evals, 4100 steps, improv/step: 0.254 (last = 0.3333), fitness=0.038839004
172.48 secs, 4230 evals, 4112 steps, improv/step: 0.254 (last = 0.0833), fitness=0.038839004
173.01 secs, 4243 evals, 4125 steps, improv/step: 0.254 (last = 0.3077), fitness=0.038839004
173.54 secs, 4256 evals, 4138 steps, improv/step: 0.254 (last = 0.2308), fitness=0.038839004
174.07 secs, 4269 evals, 4151 steps, improv/step: 0.254 (last = 0.2308), fitness=0.038839004
174.57 secs, 4281 evals, 4163 steps, improv/step: 0.254 (last = 0.2500), fitness=0.038839004
175.10 secs, 4294 evals, 4176 steps, improv/step: 0.253 (last = 0.0769), fitness=0.038839004
175.64 secs, 4308 evals, 4190 steps, improv/step: 0.253 (last = 0.1429), fitness=0.038839004
176.15 secs, 4320 evals, 4202 steps, improv/step: 0.253 (last = 0.2500), fitness=0.038839004
176.69 secs, 4333 evals, 4215 steps, improv/step: 0.252 (last = 0.0769), fitness=0.038839004
177.21 secs, 4345 evals, 4227 steps, improv/step: 0.252 (last = 0.2500), fitness=0.038839004
177.72 secs, 4357 evals, 4239 steps, improv/step: 0.252 (last = 0.2500), fitness=0.038839004
178.23 secs, 4369 evals, 4251 steps, improv/step: 0.252 (last = 0.0833), fitness=0.038839004
178.76 secs, 4382 evals, 4264 steps, improv/step: 0.251 (last = 0.1538), fitness=0.038839004
179.29 secs, 4395 evals, 4277 steps, improv/step: 0.252 (last = 0.3077), fitness=0.038839004
179.80 secs, 4408 evals, 4290 steps, improv/step: 0.252 (last = 0.3077), fitness=0.038839004
180.32 secs, 4421 evals, 4303 steps, improv/step: 0.252 (last = 0.2308), fitness=0.038839004
180.85 secs, 4434 evals, 4316 steps, improv/step: 0.253 (last = 0.6154), fitness=0.038839004
181.36 secs, 4447 evals, 4330 steps, improv/step: 0.253 (last = 0.2143), fitness=0.038839004
181.86 secs, 4460 evals, 4343 steps, improv/step: 0.253 (last = 0.3077), fitness=0.038839004
182.38 secs, 4473 evals, 4356 steps, improv/step: 0.253 (last = 0.3077), fitness=0.038839004
182.91 secs, 4486 evals, 4369 steps, improv/step: 0.253 (last = 0.3077), fitness=0.038839004
183.41 secs, 4498 evals, 4381 steps, improv/step: 0.253 (last = 0.1667), fitness=0.038839004
183.93 secs, 4511 evals, 4394 steps, improv/step: 0.253 (last = 0.3077), fitness=0.038839004
184.46 secs, 4524 evals, 4407 steps, improv/step: 0.253 (last = 0.2308), fitness=0.038839004
185.00 secs, 4537 evals, 4420 steps, improv/step: 0.253 (last = 0.1538), fitness=0.038839004
185.53 secs, 4550 evals, 4433 steps, improv/step: 0.252 (last = 0.1538), fitness=0.038839004
186.04 secs, 4564 evals, 4447 steps, improv/step: 0.252 (last = 0.1429), fitness=0.038839004
186.56 secs, 4582 evals, 4465 steps, improv/step: 0.253 (last = 0.4444), fitness=0.038839004
187.09 secs, 4597 evals, 4480 steps, improv/step: 0.253 (last = 0.3333), fitness=0.038839004
187.60 secs, 4614 evals, 4497 steps, improv/step: 0.254 (last = 0.4118), fitness=0.038839004
188.13 secs, 4629 evals, 4512 steps, improv/step: 0.253 (last = 0.0000), fitness=0.038839004
188.65 secs, 4642 evals, 4525 steps, improv/step: 0.253 (last = 0.3846), fitness=0.038839004
189.15 secs, 4655 evals, 4538 steps, improv/step: 0.253 (last = 0.2308), fitness=0.038839004
189.67 secs, 4668 evals, 4551 steps, improv/step: 0.253 (last = 0.0769), fitness=0.038839004
190.20 secs, 4681 evals, 4564 steps, improv/step: 0.253 (last = 0.3077), fitness=0.038839004
190.71 secs, 4694 evals, 4577 steps, improv/step: 0.253 (last = 0.2308), fitness=0.038839004
191.22 secs, 4707 evals, 4590 steps, improv/step: 0.253 (last = 0.1538), fitness=0.038839004
191.74 secs, 4720 evals, 4603 steps, improv/step: 0.252 (last = 0.2308), fitness=0.038839004
192.25 secs, 4734 evals, 4617 steps, improv/step: 0.252 (last = 0.2143), fitness=0.038839004
192.78 secs, 4747 evals, 4630 steps, improv/step: 0.252 (last = 0.1538), fitness=0.038839004
193.29 secs, 4760 evals, 4643 steps, improv/step: 0.252 (last = 0.2308), fitness=0.038839004
193.82 secs, 4773 evals, 4656 steps, improv/step: 0.252 (last = 0.0769), fitness=0.038839004
194.35 secs, 4786 evals, 4669 steps, improv/step: 0.251 (last = 0.0769), fitness=0.038839004
194.87 secs, 4800 evals, 4683 steps, improv/step: 0.251 (last = 0.1429), fitness=0.038839004
195.40 secs, 4813 evals, 4696 steps, improv/step: 0.250 (last = 0.1538), fitness=0.038839004
195.93 secs, 4826 evals, 4709 steps, improv/step: 0.250 (last = 0.0000), fitness=0.038839004
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196.98 secs, 4852 evals, 4735 steps, improv/step: 0.249 (last = 0.1538), fitness=0.038839004
197.52 secs, 4866 evals, 4749 steps, improv/step: 0.248 (last = 0.1429), fitness=0.038839004
198.05 secs, 4879 evals, 4762 steps, improv/step: 0.248 (last = 0.1538), fitness=0.038839004
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199.11 secs, 4905 evals, 4788 steps, improv/step: 0.247 (last = 0.0000), fitness=0.038839004
199.64 secs, 4918 evals, 4801 steps, improv/step: 0.247 (last = 0.1538), fitness=0.038839004
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201.23 secs, 4958 evals, 4841 steps, improv/step: 0.245 (last = 0.0714), fitness=0.038839004
201.74 secs, 4970 evals, 4853 steps, improv/step: 0.245 (last = 0.3333), fitness=0.038839004
202.26 secs, 4983 evals, 4866 steps, improv/step: 0.245 (last = 0.0769), fitness=0.038839004
202.78 secs, 4997 evals, 4880 steps, improv/step: 0.244 (last = 0.0714), fitness=0.038839004
203.31 secs, 5010 evals, 4893 steps, improv/step: 0.244 (last = 0.2308), fitness=0.038839004
203.83 secs, 5023 evals, 4906 steps, improv/step: 0.244 (last = 0.0769), fitness=0.038839004
204.35 secs, 5036 evals, 4919 steps, improv/step: 0.244 (last = 0.0769), fitness=0.038839004
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205.90 secs, 5075 evals, 4958 steps, improv/step: 0.242 (last = 0.0769), fitness=0.038839004
206.42 secs, 5089 evals, 4972 steps, improv/step: 0.242 (last = 0.1429), fitness=0.038839004
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207.47 secs, 5116 evals, 4999 steps, improv/step: 0.241 (last = 0.0000), fitness=0.038839004
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209.01 secs, 5155 evals, 5038 steps, improv/step: 0.240 (last = 0.0769), fitness=0.038839004
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210.03 secs, 5181 evals, 5064 steps, improv/step: 0.240 (last = 0.2308), fitness=0.038839004
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211.03 secs, 5205 evals, 5088 steps, improv/step: 0.239 (last = 0.0000), fitness=0.038839004
211.54 secs, 5218 evals, 5101 steps, improv/step: 0.239 (last = 0.2308), fitness=0.038839004
212.06 secs, 5231 evals, 5114 steps, improv/step: 0.239 (last = 0.2308), fitness=0.038839004
212.59 secs, 5245 evals, 5128 steps, improv/step: 0.238 (last = 0.0000), fitness=0.038839004
213.09 secs, 5259 evals, 5142 steps, improv/step: 0.237 (last = 0.0000), fitness=0.038839004
213.60 secs, 5273 evals, 5156 steps, improv/step: 0.237 (last = 0.2143), fitness=0.038839004
214.14 secs, 5288 evals, 5171 steps, improv/step: 0.237 (last = 0.0000), fitness=0.038839004
214.64 secs, 5302 evals, 5185 steps, improv/step: 0.236 (last = 0.1429), fitness=0.038839004
215.15 secs, 5315 evals, 5198 steps, improv/step: 0.236 (last = 0.0769), fitness=0.038839004
215.68 secs, 5328 evals, 5211 steps, improv/step: 0.236 (last = 0.1538), fitness=0.038839004
216.22 secs, 5342 evals, 5225 steps, improv/step: 0.236 (last = 0.1429), fitness=0.038839004
216.72 secs, 5355 evals, 5238 steps, improv/step: 0.235 (last = 0.0000), fitness=0.038839004
217.25 secs, 5368 evals, 5251 steps, improv/step: 0.235 (last = 0.1538), fitness=0.038839004
217.76 secs, 5381 evals, 5264 steps, improv/step: 0.234 (last = 0.0769), fitness=0.038839004
218.30 secs, 5394 evals, 5277 steps, improv/step: 0.234 (last = 0.0000), fitness=0.038839004
218.84 secs, 5408 evals, 5291 steps, improv/step: 0.234 (last = 0.1429), fitness=0.038839004
219.36 secs, 5422 evals, 5305 steps, improv/step: 0.233 (last = 0.0714), fitness=0.038839004
219.87 secs, 5434 evals, 5317 steps, improv/step: 0.233 (last = 0.0000), fitness=0.038839004
220.40 secs, 5447 evals, 5330 steps, improv/step: 0.232 (last = 0.0000), fitness=0.038839004
220.93 secs, 5460 evals, 5343 steps, improv/step: 0.232 (last = 0.1538), fitness=0.038839004
221.46 secs, 5473 evals, 5356 steps, improv/step: 0.232 (last = 0.1538), fitness=0.038839004
221.97 secs, 5485 evals, 5368 steps, improv/step: 0.231 (last = 0.0000), fitness=0.038839004
222.47 secs, 5497 evals, 5380 steps, improv/step: 0.231 (last = 0.0833), fitness=0.038839004
223.00 secs, 5510 evals, 5393 steps, improv/step: 0.231 (last = 0.1538), fitness=0.038839004
223.54 secs, 5523 evals, 5406 steps, improv/step: 0.230 (last = 0.0000), fitness=0.038839004
224.08 secs, 5536 evals, 5419 steps, improv/step: 0.230 (last = 0.0000), fitness=0.038839004
224.58 secs, 5548 evals, 5431 steps, improv/step: 0.229 (last = 0.0000), fitness=0.038839004
225.12 secs, 5561 evals, 5444 steps, improv/step: 0.229 (last = 0.0769), fitness=0.038839004
225.64 secs, 5574 evals, 5457 steps, improv/step: 0.228 (last = 0.0769), fitness=0.038839004
226.15 secs, 5586 evals, 5469 steps, improv/step: 0.228 (last = 0.0833), fitness=0.038839004
226.65 secs, 5598 evals, 5481 steps, improv/step: 0.228 (last = 0.0833), fitness=0.038839004
227.15 secs, 5610 evals, 5493 steps, improv/step: 0.227 (last = 0.0833), fitness=0.038839004
227.69 secs, 5623 evals, 5506 steps, improv/step: 0.227 (last = 0.0769), fitness=0.038839004
228.20 secs, 5635 evals, 5518 steps, improv/step: 0.227 (last = 0.0000), fitness=0.038839004
228.72 secs, 5648 evals, 5531 steps, improv/step: 0.226 (last = 0.0000), fitness=0.038839004
229.22 secs, 5660 evals, 5543 steps, improv/step: 0.226 (last = 0.0000), fitness=0.038839004
229.74 secs, 5673 evals, 5556 steps, improv/step: 0.225 (last = 0.0769), fitness=0.038839004
230.26 secs, 5686 evals, 5569 steps, improv/step: 0.225 (last = 0.1538), fitness=0.038839004
230.76 secs, 5698 evals, 5581 steps, improv/step: 0.225 (last = 0.0000), fitness=0.038839004
231.28 secs, 5711 evals, 5594 steps, improv/step: 0.224 (last = 0.0769), fitness=0.038839004
231.80 secs, 5723 evals, 5606 steps, improv/step: 0.224 (last = 0.0833), fitness=0.038839004
232.32 secs, 5736 evals, 5619 steps, improv/step: 0.223 (last = 0.0000), fitness=0.038839004
232.85 secs, 5749 evals, 5632 steps, improv/step: 0.223 (last = 0.0769), fitness=0.038839004
233.38 secs, 5762 evals, 5645 steps, improv/step: 0.222 (last = 0.0000), fitness=0.038839004
233.90 secs, 5775 evals, 5658 steps, improv/step: 0.222 (last = 0.0769), fitness=0.038839004
234.44 secs, 5788 evals, 5671 steps, improv/step: 0.222 (last = 0.0000), fitness=0.038839004
234.97 secs, 5801 evals, 5684 steps, improv/step: 0.221 (last = 0.0769), fitness=0.038839004
235.47 secs, 5813 evals, 5696 steps, improv/step: 0.221 (last = 0.0000), fitness=0.038839004
236.01 secs, 5826 evals, 5709 steps, improv/step: 0.220 (last = 0.0000), fitness=0.038839004
236.54 secs, 5839 evals, 5722 steps, improv/step: 0.220 (last = 0.0000), fitness=0.038839004
237.05 secs, 5851 evals, 5734 steps, improv/step: 0.219 (last = 0.0000), fitness=0.038839004
237.56 secs, 5863 evals, 5746 steps, improv/step: 0.219 (last = 0.0000), fitness=0.038839004
238.09 secs, 5876 evals, 5759 steps, improv/step: 0.218 (last = 0.0000), fitness=0.038839004
238.62 secs, 5889 evals, 5772 steps, improv/step: 0.218 (last = 0.0000), fitness=0.038839004
239.12 secs, 5901 evals, 5784 steps, improv/step: 0.217 (last = 0.0000), fitness=0.038839004
239.65 secs, 5914 evals, 5797 steps, improv/step: 0.217 (last = 0.0769), fitness=0.038839004
240.19 secs, 5927 evals, 5810 steps, improv/step: 0.217 (last = 0.0000), fitness=0.038839004
240.72 secs, 5940 evals, 5823 steps, improv/step: 0.216 (last = 0.0769), fitness=0.038839004
241.24 secs, 5954 evals, 5837 steps, improv/step: 0.216 (last = 0.0000), fitness=0.038839004
241.75 secs, 5968 evals, 5851 steps, improv/step: 0.216 (last = 0.0714), fitness=0.038839004
242.26 secs, 5982 evals, 5865 steps, improv/step: 0.215 (last = 0.0000), fitness=0.038839004
242.79 secs, 5996 evals, 5879 steps, improv/step: 0.214 (last = 0.0000), fitness=0.038839004
243.31 secs, 6009 evals, 5892 steps, improv/step: 0.214 (last = 0.0000), fitness=0.038839004
243.84 secs, 6022 evals, 5905 steps, improv/step: 0.214 (last = 0.0000), fitness=0.038839004
244.38 secs, 6035 evals, 5918 steps, improv/step: 0.213 (last = 0.0000), fitness=0.038839004
244.92 secs, 6048 evals, 5931 steps, improv/step: 0.213 (last = 0.0769), fitness=0.038839004
245.44 secs, 6061 evals, 5944 steps, improv/step: 0.212 (last = 0.0000), fitness=0.038839004
245.97 secs, 6074 evals, 5957 steps, improv/step: 0.212 (last = 0.0000), fitness=0.038839004
246.50 secs, 6087 evals, 5970 steps, improv/step: 0.211 (last = 0.0000), fitness=0.038839004
247.01 secs, 6100 evals, 5983 steps, improv/step: 0.211 (last = 0.0000), fitness=0.038839004
247.53 secs, 6113 evals, 5996 steps, improv/step: 0.211 (last = 0.0769), fitness=0.038839004
248.04 secs, 6125 evals, 6008 steps, improv/step: 0.210 (last = 0.0000), fitness=0.038839004
248.56 secs, 6138 evals, 6021 steps, improv/step: 0.210 (last = 0.0000), fitness=0.038839004
249.09 secs, 6151 evals, 6034 steps, improv/step: 0.209 (last = 0.0000), fitness=0.038839004
249.63 secs, 6164 evals, 6047 steps, improv/step: 0.209 (last = 0.0000), fitness=0.038839004
250.15 secs, 6177 evals, 6060 steps, improv/step: 0.209 (last = 0.0769), fitness=0.038839004
250.68 secs, 6190 evals, 6073 steps, improv/step: 0.208 (last = 0.0000), fitness=0.038839004
251.22 secs, 6203 evals, 6086 steps, improv/step: 0.208 (last = 0.0769), fitness=0.038839004
251.76 secs, 6216 evals, 6099 steps, improv/step: 0.207 (last = 0.0000), fitness=0.038839004
252.26 secs, 6228 evals, 6111 steps, improv/step: 0.207 (last = 0.0833), fitness=0.038839004
252.78 secs, 6241 evals, 6124 steps, improv/step: 0.207 (last = 0.0769), fitness=0.038839004
253.31 secs, 6254 evals, 6137 steps, improv/step: 0.206 (last = 0.0000), fitness=0.038839004
253.83 secs, 6267 evals, 6150 steps, improv/step: 0.206 (last = 0.0769), fitness=0.038839004
254.37 secs, 6281 evals, 6164 steps, improv/step: 0.206 (last = 0.0714), fitness=0.038839004
254.90 secs, 6294 evals, 6177 steps, improv/step: 0.205 (last = 0.0000), fitness=0.038839004
255.42 secs, 6306 evals, 6189 steps, improv/step: 0.205 (last = 0.1667), fitness=0.038839004
255.94 secs, 6318 evals, 6201 steps, improv/step: 0.205 (last = 0.0833), fitness=0.038839004
256.47 secs, 6331 evals, 6214 steps, improv/step: 0.205 (last = 0.0000), fitness=0.038839004
256.97 secs, 6343 evals, 6226 steps, improv/step: 0.204 (last = 0.0833), fitness=0.038839004
257.50 secs, 6356 evals, 6239 steps, improv/step: 0.204 (last = 0.1538), fitness=0.038839004
258.01 secs, 6368 evals, 6251 steps, improv/step: 0.204 (last = 0.0000), fitness=0.038839004
258.51 secs, 6380 evals, 6263 steps, improv/step: 0.204 (last = 0.0000), fitness=0.038839004
259.04 secs, 6393 evals, 6276 steps, improv/step: 0.203 (last = 0.0000), fitness=0.038839004
259.58 secs, 6406 evals, 6289 steps, improv/step: 0.203 (last = 0.0000), fitness=0.038839004
260.12 secs, 6419 evals, 6302 steps, improv/step: 0.202 (last = 0.0769), fitness=0.038839004
260.64 secs, 6432 evals, 6315 steps, improv/step: 0.202 (last = 0.0769), fitness=0.038839004
261.17 secs, 6445 evals, 6328 steps, improv/step: 0.202 (last = 0.0000), fitness=0.038839004
261.68 secs, 6457 evals, 6340 steps, improv/step: 0.202 (last = 0.0833), fitness=0.038839004
262.21 secs, 6470 evals, 6353 steps, improv/step: 0.201 (last = 0.0769), fitness=0.038839004
262.72 secs, 6483 evals, 6366 steps, improv/step: 0.201 (last = 0.0000), fitness=0.038839004
263.23 secs, 6495 evals, 6378 steps, improv/step: 0.201 (last = 0.3333), fitness=0.038839004
263.76 secs, 6508 evals, 6391 steps, improv/step: 0.201 (last = 0.0000), fitness=0.038839004
264.27 secs, 6520 evals, 6403 steps, improv/step: 0.201 (last = 0.0833), fitness=0.038839004
264.80 secs, 6533 evals, 6416 steps, improv/step: 0.200 (last = 0.0000), fitness=0.038839004
265.35 secs, 6546 evals, 6429 steps, improv/step: 0.200 (last = 0.0769), fitness=0.038839004
265.89 secs, 6559 evals, 6442 steps, improv/step: 0.200 (last = 0.2308), fitness=0.038839004
266.40 secs, 6572 evals, 6455 steps, improv/step: 0.200 (last = 0.0000), fitness=0.038839004
266.92 secs, 6585 evals, 6468 steps, improv/step: 0.199 (last = 0.0000), fitness=0.038839004
267.42 secs, 6598 evals, 6481 steps, improv/step: 0.199 (last = 0.0000), fitness=0.038839004
267.93 secs, 6610 evals, 6493 steps, improv/step: 0.198 (last = 0.0000), fitness=0.038839004
268.44 secs, 6623 evals, 6506 steps, improv/step: 0.198 (last = 0.0769), fitness=0.038839004
268.97 secs, 6636 evals, 6519 steps, improv/step: 0.198 (last = 0.0769), fitness=0.038839004
269.49 secs, 6649 evals, 6532 steps, improv/step: 0.197 (last = 0.0000), fitness=0.038839004
270.02 secs, 6662 evals, 6545 steps, improv/step: 0.197 (last = 0.0769), fitness=0.038839004
270.53 secs, 6674 evals, 6557 steps, improv/step: 0.197 (last = 0.0000), fitness=0.038839004
271.05 secs, 6687 evals, 6570 steps, improv/step: 0.196 (last = 0.0000), fitness=0.038839004
271.58 secs, 6700 evals, 6583 steps, improv/step: 0.196 (last = 0.0000), fitness=0.038839004
272.11 secs, 6713 evals, 6596 steps, improv/step: 0.196 (last = 0.0000), fitness=0.038839004
272.63 secs, 6726 evals, 6609 steps, improv/step: 0.195 (last = 0.0769), fitness=0.038839004
273.17 secs, 6739 evals, 6622 steps, improv/step: 0.195 (last = 0.0769), fitness=0.038839004
273.70 secs, 6752 evals, 6635 steps, improv/step: 0.195 (last = 0.0000), fitness=0.038839004
274.22 secs, 6765 evals, 6648 steps, improv/step: 0.195 (last = 0.0769), fitness=0.038839004
274.75 secs, 6778 evals, 6661 steps, improv/step: 0.194 (last = 0.0000), fitness=0.038839004
275.27 secs, 6791 evals, 6674 steps, improv/step: 0.194 (last = 0.1538), fitness=0.038839004
275.80 secs, 6804 evals, 6687 steps, improv/step: 0.194 (last = 0.0000), fitness=0.038839004
276.32 secs, 6817 evals, 6700 steps, improv/step: 0.193 (last = 0.0000), fitness=0.038839004
276.85 secs, 6830 evals, 6713 steps, improv/step: 0.193 (last = 0.0000), fitness=0.038839004
277.36 secs, 6843 evals, 6726 steps, improv/step: 0.193 (last = 0.0000), fitness=0.038839004
277.89 secs, 6856 evals, 6739 steps, improv/step: 0.192 (last = 0.0769), fitness=0.038839004
278.41 secs, 6869 evals, 6752 steps, improv/step: 0.192 (last = 0.0000), fitness=0.038839004
278.93 secs, 6882 evals, 6765 steps, improv/step: 0.192 (last = 0.0000), fitness=0.038839004
279.45 secs, 6895 evals, 6778 steps, improv/step: 0.191 (last = 0.0000), fitness=0.038839004
279.96 secs, 6908 evals, 6791 steps, improv/step: 0.191 (last = 0.0000), fitness=0.038839004
280.48 secs, 6921 evals, 6804 steps, improv/step: 0.191 (last = 0.0769), fitness=0.038839004
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384.22 secs, 9437 evals, 9350 steps, improv/step: 0.149 (last = 0.1538), fitness=0.038839004
384.73 secs, 9449 evals, 9365 steps, improv/step: 0.149 (last = 0.0667), fitness=0.038839004
385.24 secs, 9461 evals, 9379 steps, improv/step: 0.149 (last = 0.0000), fitness=0.038839004
385.77 secs, 9474 evals, 9398 steps, improv/step: 0.149 (last = 0.0000), fitness=0.038839004
386.30 secs, 9487 evals, 9418 steps, improv/step: 0.148 (last = 0.0000), fitness=0.038839004
386.84 secs, 9500 evals, 9431 steps, improv/step: 0.148 (last = 0.0769), fitness=0.038839004
387.35 secs, 9512 evals, 9446 steps, improv/step: 0.148 (last = 0.0667), fitness=0.038839004
387.88 secs, 9525 evals, 9465 steps, improv/step: 0.148 (last = 0.1579), fitness=0.038839004
388.38 secs, 9537 evals, 9481 steps, improv/step: 0.148 (last = 0.0625), fitness=0.038839004
388.92 secs, 9550 evals, 9496 steps, improv/step: 0.148 (last = 0.0667), fitness=0.038839004
389.46 secs, 9563 evals, 9511 steps, improv/step: 0.148 (last = 0.2000), fitness=0.038839004
389.96 secs, 9575 evals, 9529 steps, improv/step: 0.148 (last = 0.1111), fitness=0.038839004
390.47 secs, 9587 evals, 9544 steps, improv/step: 0.148 (last = 0.1333), fitness=0.038839004
391.00 secs, 9600 evals, 9560 steps, improv/step: 0.148 (last = 0.0625), fitness=0.038839004
391.53 secs, 9613 evals, 9577 steps, improv/step: 0.148 (last = 0.1176), fitness=0.038839004
392.04 secs, 9625 evals, 9593 steps, improv/step: 0.148 (last = 0.0625), fitness=0.038839004
392.57 secs, 9638 evals, 9607 steps, improv/step: 0.147 (last = 0.0714), fitness=0.038839004
393.10 secs, 9651 evals, 9625 steps, improv/step: 0.147 (last = 0.1111), fitness=0.038839004
393.64 secs, 9664 evals, 9639 steps, improv/step: 0.147 (last = 0.0000), fitness=0.038839004
394.17 secs, 9677 evals, 9653 steps, improv/step: 0.147 (last = 0.0000), fitness=0.038839004
394.67 secs, 9689 evals, 9665 steps, improv/step: 0.147 (last = 0.0833), fitness=0.038839004
395.17 secs, 9701 evals, 9684 steps, improv/step: 0.147 (last = 0.1053), fitness=0.038839004
395.68 secs, 9713 evals, 9697 steps, improv/step: 0.147 (last = 0.0769), fitness=0.038839004
396.21 secs, 9726 evals, 9711 steps, improv/step: 0.147 (last = 0.0000), fitness=0.038839004
396.73 secs, 9739 evals, 9726 steps, improv/step: 0.147 (last = 0.1333), fitness=0.038839004
397.26 secs, 9753 evals, 9743 steps, improv/step: 0.146 (last = 0.0588), fitness=0.038839004
397.78 secs, 9766 evals, 9758 steps, improv/step: 0.147 (last = 0.2667), fitness=0.038839004
398.31 secs, 9779 evals, 9773 steps, improv/step: 0.146 (last = 0.0667), fitness=0.038839004
398.81 secs, 9792 evals, 9789 steps, improv/step: 0.146 (last = 0.1875), fitness=0.038839004
399.35 secs, 9806 evals, 9809 steps, improv/step: 0.146 (last = 0.1000), fitness=0.038839004
399.88 secs, 9819 evals, 9824 steps, improv/step: 0.146 (last = 0.0000), fitness=0.038839004
400.40 secs, 9832 evals, 9842 steps, improv/step: 0.146 (last = 0.0556), fitness=0.038839004
400.91 secs, 9844 evals, 9857 steps, improv/step: 0.146 (last = 0.0667), fitness=0.038839004
401.45 secs, 9857 evals, 9878 steps, improv/step: 0.146 (last = 0.0476), fitness=0.038839004
401.96 secs, 9869 evals, 9890 steps, improv/step: 0.146 (last = 0.0000), fitness=0.038839004
402.49 secs, 9882 evals, 9908 steps, improv/step: 0.145 (last = 0.1111), fitness=0.038839004
402.99 secs, 9895 evals, 9934 steps, improv/step: 0.145 (last = 0.0769), fitness=0.038839004
403.50 secs, 9908 evals, 9953 steps, improv/step: 0.145 (last = 0.1579), fitness=0.038839004
404.04 secs, 9921 evals, 9976 steps, improv/step: 0.145 (last = 0.1304), fitness=0.038839004
404.54 secs, 9933 evals, 10003 steps, improv/step: 0.145 (last = 0.1481), fitness=0.038839004
405.04 secs, 9945 evals, 10023 steps, improv/step: 0.145 (last = 0.0000), fitness=0.038839004
405.55 secs, 9957 evals, 10051 steps, improv/step: 0.145 (last = 0.1071), fitness=0.038839004
406.08 secs, 9970 evals, 10084 steps, improv/step: 0.145 (last = 0.1818), fitness=0.038839004
406.58 secs, 9982 evals, 10127 steps, improv/step: 0.145 (last = 0.0698), fitness=0.038839004
407.12 secs, 9995 evals, 10192 steps, improv/step: 0.144 (last = 0.0769), fitness=0.038839004
407.65 secs, 10008 evals, 10246 steps, improv/step: 0.144 (last = 0.0926), fitness=0.038839004
408.19 secs, 10021 evals, 10292 steps, improv/step: 0.144 (last = 0.0870), fitness=0.038839004
408.72 secs, 10034 evals, 10336 steps, improv/step: 0.143 (last = 0.0682), fitness=0.038839004
409.26 secs, 10047 evals, 10372 steps, improv/step: 0.143 (last = 0.0556), fitness=0.038839004
409.77 secs, 10059 evals, 10459 steps, improv/step: 0.142 (last = 0.0460), fitness=0.038839004

Optimization stopped after 10591 steps and 410.03 seconds
Termination reason: Too many steps (101) without any function evaluations (probably search has converged)
Steps per second = 25.83
Function evals per second = 24.55
Improvements/step = 0.13536
Total function evaluations = 10065


Best candidate found: [1.49999]

Fitness: 0.038839004

┌ Warning: `Base.getindex(A::AbstractDiffEqArray, i::Int)` is deprecated, use `Base.getindex(A, :, i)` instead.
│   caller = (::L2Loss{Vector{Float64}, Matrix{Float64}, Nothing, Float64, Nothing})(sol::ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, Nothing, ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, var"##238"{var"###ParameterizedDiffEqFunction#240", var"###ParameterizedTGradFunction#241", var"###ParameterizedJacobianFunction#242", Nothing, Nothing, ODESystem}, Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}, SciMLBase.StandardODEProblem}, Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{var"##238"{var"###ParameterizedDiffEqFunction#240", var"###ParameterizedTGradFunction#241", var"###ParameterizedJacobianFunction#242", Nothing, Nothing, ODESystem}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, Nothing, OrdinaryDiffEqTsit5.Tsit5Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}) at cost_functions.jl:103
└ @ DiffEqParamEstim ~/.julia/packages/DiffEqParamEstim/6z5Ou/src/cost_functions.jl:103
Starting optimization with optimizer DiffEvoOpt{FitPopulation{Float64}, RadiusLimitedSelector, BlackBoxOptim.AdaptiveDiffEvoRandBin{3}, RandomBound{ContinuousRectSearchSpace}}
0.00 secs, 0 evals, 0 steps
0.52 secs, 12 evals, 6 steps, improv/step: 0.667 (last = 0.6667), fitness=182.179591586
1.06 secs, 24 evals, 13 steps, improv/step: 0.538 (last = 0.4286), fitness=160.694544309
1.61 secs, 36 evals, 19 steps, improv/step: 0.474 (last = 0.3333), fitness=160.694544309
2.12 secs, 49 evals, 27 steps, improv/step: 0.407 (last = 0.2500), fitness=160.694544309
2.68 secs, 62 evals, 34 steps, improv/step: 0.441 (last = 0.5714), fitness=160.694544309
3.21 secs, 75 evals, 43 steps, improv/step: 0.349 (last = 0.0000), fitness=160.694544309
3.75 secs, 88 evals, 51 steps, improv/step: 0.333 (last = 0.2500), fitness=160.694544309
4.30 secs, 102 evals, 59 steps, improv/step: 0.322 (last = 0.2500), fitness=160.694544309
4.81 secs, 115 evals, 67 steps, improv/step: 0.343 (last = 0.5000), fitness=160.694544309
5.33 secs, 128 evals, 75 steps, improv/step: 0.307 (last = 0.0000), fitness=160.694544309
5.86 secs, 141 evals, 83 steps, improv/step: 0.325 (last = 0.5000), fitness=79.110319417
6.39 secs, 154 evals, 92 steps, improv/step: 0.315 (last = 0.2222), fitness=79.110319417
6.92 secs, 167 evals, 101 steps, improv/step: 0.327 (last = 0.4444), fitness=79.110319417
7.43 secs, 179 evals, 111 steps, improv/step: 0.324 (last = 0.3000), fitness=79.110319417
7.94 secs, 191 evals, 120 steps, improv/step: 0.300 (last = 0.0000), fitness=79.110319417
8.44 secs, 203 evals, 128 steps, improv/step: 0.305 (last = 0.3750), fitness=79.110319417
8.96 secs, 216 evals, 137 steps, improv/step: 0.307 (last = 0.3333), fitness=79.110319417
9.48 secs, 229 evals, 146 steps, improv/step: 0.322 (last = 0.5556), fitness=79.110319417
10.02 secs, 243 evals, 156 steps, improv/step: 0.321 (last = 0.3000), fitness=79.110319417
10.55 secs, 256 evals, 165 steps, improv/step: 0.333 (last = 0.5556), fitness=79.110319417
11.06 secs, 268 evals, 174 steps, improv/step: 0.328 (last = 0.2222), fitness=79.110319417
11.59 secs, 281 evals, 186 steps, improv/step: 0.323 (last = 0.2500), fitness=44.829738804
12.10 secs, 294 evals, 197 steps, improv/step: 0.325 (last = 0.3636), fitness=35.216541511
12.65 secs, 307 evals, 206 steps, improv/step: 0.316 (last = 0.1111), fitness=35.216541511
13.18 secs, 320 evals, 217 steps, improv/step: 0.318 (last = 0.3636), fitness=25.288523578
13.73 secs, 333 evals, 229 steps, improv/step: 0.310 (last = 0.1667), fitness=25.288523578
14.23 secs, 345 evals, 238 steps, improv/step: 0.315 (last = 0.4444), fitness=25.288523578
14.78 secs, 358 evals, 249 steps, improv/step: 0.325 (last = 0.5455), fitness=25.288523578
15.31 secs, 371 evals, 260 steps, improv/step: 0.331 (last = 0.4545), fitness=25.288523578
15.84 secs, 383 evals, 269 steps, improv/step: 0.338 (last = 0.5556), fitness=25.288523578
16.41 secs, 397 evals, 280 steps, improv/step: 0.329 (last = 0.0909), fitness=25.288523578
16.95 secs, 410 evals, 293 steps, improv/step: 0.328 (last = 0.3077), fitness=13.194682618
17.45 secs, 422 evals, 305 steps, improv/step: 0.331 (last = 0.4167), fitness=13.194682618
17.96 secs, 435 evals, 317 steps, improv/step: 0.322 (last = 0.0833), fitness=2.610838793
18.49 secs, 448 evals, 330 steps, improv/step: 0.318 (last = 0.2308), fitness=2.610838793
19.02 secs, 461 evals, 343 steps, improv/step: 0.318 (last = 0.3077), fitness=2.610838793
19.59 secs, 475 evals, 356 steps, improv/step: 0.315 (last = 0.2308), fitness=2.610838793
20.12 secs, 488 evals, 367 steps, improv/step: 0.319 (last = 0.4545), fitness=2.610838793
20.66 secs, 501 evals, 380 steps, improv/step: 0.321 (last = 0.3846), fitness=2.610838793
21.20 secs, 514 evals, 393 steps, improv/step: 0.326 (last = 0.4615), fitness=2.610838793
21.72 secs, 527 evals, 405 steps, improv/step: 0.323 (last = 0.2500), fitness=2.610838793
22.25 secs, 540 evals, 417 steps, improv/step: 0.319 (last = 0.1667), fitness=2.610838793
22.77 secs, 553 evals, 430 steps, improv/step: 0.316 (last = 0.2308), fitness=2.610838793
23.28 secs, 566 evals, 442 steps, improv/step: 0.314 (last = 0.2500), fitness=2.610838793
23.82 secs, 579 evals, 454 steps, improv/step: 0.306 (last = 0.0000), fitness=2.610838793
24.36 secs, 592 evals, 467 steps, improv/step: 0.304 (last = 0.2308), fitness=2.610838793
24.87 secs, 605 evals, 479 steps, improv/step: 0.303 (last = 0.2500), fitness=2.610838793
25.37 secs, 618 evals, 492 steps, improv/step: 0.307 (last = 0.4615), fitness=2.610838793
25.94 secs, 632 evals, 505 steps, improv/step: 0.303 (last = 0.1538), fitness=2.610838793
26.47 secs, 645 evals, 518 steps, improv/step: 0.301 (last = 0.2308), fitness=2.610838793
27.05 secs, 659 evals, 531 steps, improv/step: 0.299 (last = 0.2308), fitness=2.610838793
27.57 secs, 671 evals, 542 steps, improv/step: 0.299 (last = 0.2727), fitness=2.610838793
28.07 secs, 683 evals, 554 steps, improv/step: 0.296 (last = 0.1667), fitness=2.610838793
28.61 secs, 695 evals, 566 steps, improv/step: 0.293 (last = 0.1667), fitness=2.610838793
29.14 secs, 708 evals, 579 steps, improv/step: 0.288 (last = 0.0769), fitness=2.610838793
29.65 secs, 720 evals, 591 steps, improv/step: 0.286 (last = 0.1667), fitness=2.610838793
30.15 secs, 732 evals, 603 steps, improv/step: 0.285 (last = 0.2500), fitness=2.610838793
30.66 secs, 744 evals, 614 steps, improv/step: 0.288 (last = 0.4545), fitness=2.610838793
31.18 secs, 756 evals, 626 steps, improv/step: 0.284 (last = 0.0833), fitness=2.610838793
31.70 secs, 769 evals, 639 steps, improv/step: 0.288 (last = 0.4615), fitness=2.610838793
32.20 secs, 781 evals, 651 steps, improv/step: 0.286 (last = 0.1667), fitness=2.610838793
32.73 secs, 794 evals, 664 steps, improv/step: 0.282 (last = 0.0769), fitness=2.610838793
33.26 secs, 807 evals, 676 steps, improv/step: 0.281 (last = 0.2500), fitness=2.610838793
33.80 secs, 820 evals, 688 steps, improv/step: 0.279 (last = 0.1667), fitness=2.610838793
34.33 secs, 833 evals, 701 steps, improv/step: 0.275 (last = 0.0769), fitness=2.610838793
34.87 secs, 846 evals, 714 steps, improv/step: 0.277 (last = 0.3846), fitness=2.610838793
35.39 secs, 859 evals, 727 steps, improv/step: 0.278 (last = 0.3077), fitness=2.610838793
35.90 secs, 871 evals, 739 steps, improv/step: 0.277 (last = 0.2500), fitness=2.610838793
36.43 secs, 884 evals, 752 steps, improv/step: 0.279 (last = 0.3846), fitness=2.610838793
36.97 secs, 897 evals, 765 steps, improv/step: 0.278 (last = 0.2308), fitness=1.206627169
37.49 secs, 910 evals, 778 steps, improv/step: 0.284 (last = 0.6154), fitness=1.004798153
38.00 secs, 923 evals, 791 steps, improv/step: 0.286 (last = 0.3846), fitness=1.004798153
38.51 secs, 936 evals, 804 steps, improv/step: 0.285 (last = 0.2308), fitness=1.004798153
39.02 secs, 949 evals, 817 steps, improv/step: 0.288 (last = 0.4615), fitness=1.004798153
39.52 secs, 961 evals, 829 steps, improv/step: 0.288 (last = 0.3333), fitness=1.004798153
40.02 secs, 973 evals, 841 steps, improv/step: 0.285 (last = 0.0833), fitness=0.827714603
40.53 secs, 985 evals, 853 steps, improv/step: 0.283 (last = 0.0833), fitness=0.827714603
41.06 secs, 998 evals, 866 steps, improv/step: 0.286 (last = 0.5385), fitness=0.827714603
41.60 secs, 1011 evals, 879 steps, improv/step: 0.284 (last = 0.1538), fitness=0.827714603
42.10 secs, 1023 evals, 891 steps, improv/step: 0.286 (last = 0.4167), fitness=0.827714603
42.63 secs, 1036 evals, 904 steps, improv/step: 0.287 (last = 0.3077), fitness=0.827714603
43.14 secs, 1049 evals, 917 steps, improv/step: 0.285 (last = 0.1538), fitness=0.827714603
43.66 secs, 1062 evals, 930 steps, improv/step: 0.283 (last = 0.1538), fitness=0.827714603
44.17 secs, 1074 evals, 942 steps, improv/step: 0.282 (last = 0.2500), fitness=0.537264061
44.70 secs, 1087 evals, 955 steps, improv/step: 0.283 (last = 0.3077), fitness=0.537264061
45.24 secs, 1100 evals, 968 steps, improv/step: 0.280 (last = 0.0769), fitness=0.537264061
45.75 secs, 1112 evals, 980 steps, improv/step: 0.281 (last = 0.3333), fitness=0.537264061
46.26 secs, 1124 evals, 992 steps, improv/step: 0.284 (last = 0.5833), fitness=0.537264061
46.79 secs, 1137 evals, 1005 steps, improv/step: 0.286 (last = 0.3846), fitness=0.537264061
47.31 secs, 1150 evals, 1018 steps, improv/step: 0.285 (last = 0.2308), fitness=0.244818591
47.81 secs, 1162 evals, 1030 steps, improv/step: 0.284 (last = 0.2500), fitness=0.244818591
48.35 secs, 1175 evals, 1043 steps, improv/step: 0.286 (last = 0.3846), fitness=0.244818591
48.85 secs, 1187 evals, 1055 steps, improv/step: 0.286 (last = 0.3333), fitness=0.196477799
49.40 secs, 1200 evals, 1068 steps, improv/step: 0.287 (last = 0.3077), fitness=0.196477799
49.91 secs, 1212 evals, 1080 steps, improv/step: 0.284 (last = 0.0833), fitness=0.196477799
50.42 secs, 1224 evals, 1092 steps, improv/step: 0.285 (last = 0.3333), fitness=0.196477799
50.95 secs, 1237 evals, 1105 steps, improv/step: 0.284 (last = 0.2308), fitness=0.196477799
51.48 secs, 1250 evals, 1118 steps, improv/step: 0.283 (last = 0.1538), fitness=0.196477799
52.01 secs, 1263 evals, 1131 steps, improv/step: 0.282 (last = 0.2308), fitness=0.196477799
52.51 secs, 1275 evals, 1143 steps, improv/step: 0.282 (last = 0.2500), fitness=0.196477799
53.04 secs, 1288 evals, 1156 steps, improv/step: 0.283 (last = 0.3846), fitness=0.196477799
53.58 secs, 1301 evals, 1169 steps, improv/step: 0.282 (last = 0.2308), fitness=0.154581593
54.11 secs, 1314 evals, 1182 steps, improv/step: 0.280 (last = 0.0769), fitness=0.154581593
54.65 secs, 1327 evals, 1195 steps, improv/step: 0.279 (last = 0.2308), fitness=0.154581593
55.18 secs, 1340 evals, 1208 steps, improv/step: 0.278 (last = 0.1538), fitness=0.154581593
55.72 secs, 1353 evals, 1221 steps, improv/step: 0.281 (last = 0.5385), fitness=0.154581593
56.25 secs, 1366 evals, 1234 steps, improv/step: 0.280 (last = 0.2308), fitness=0.154581593
56.75 secs, 1378 evals, 1246 steps, improv/step: 0.280 (last = 0.2500), fitness=0.154581593
57.29 secs, 1391 evals, 1259 steps, improv/step: 0.280 (last = 0.2308), fitness=0.154581593
57.79 secs, 1403 evals, 1271 steps, improv/step: 0.280 (last = 0.3333), fitness=0.154581593
58.33 secs, 1416 evals, 1284 steps, improv/step: 0.280 (last = 0.3077), fitness=0.121750762
58.86 secs, 1429 evals, 1297 steps, improv/step: 0.279 (last = 0.1538), fitness=0.086168881
59.37 secs, 1442 evals, 1310 steps, improv/step: 0.281 (last = 0.4615), fitness=0.049665075
59.91 secs, 1455 evals, 1323 steps, improv/step: 0.281 (last = 0.3077), fitness=0.049665075
60.43 secs, 1467 evals, 1335 steps, improv/step: 0.282 (last = 0.4167), fitness=0.049665075
60.95 secs, 1480 evals, 1348 steps, improv/step: 0.282 (last = 0.2308), fitness=0.049665075
61.46 secs, 1492 evals, 1360 steps, improv/step: 0.281 (last = 0.1667), fitness=0.049665075
61.98 secs, 1505 evals, 1373 steps, improv/step: 0.282 (last = 0.3846), fitness=0.049249269
62.52 secs, 1518 evals, 1386 steps, improv/step: 0.282 (last = 0.3077), fitness=0.049249269
63.04 secs, 1531 evals, 1399 steps, improv/step: 0.282 (last = 0.3077), fitness=0.049249269
63.56 secs, 1544 evals, 1412 steps, improv/step: 0.283 (last = 0.3077), fitness=0.049249269
64.07 secs, 1556 evals, 1424 steps, improv/step: 0.282 (last = 0.2500), fitness=0.049249269
64.60 secs, 1569 evals, 1437 steps, improv/step: 0.283 (last = 0.3077), fitness=0.049249269
65.12 secs, 1581 evals, 1449 steps, improv/step: 0.282 (last = 0.2500), fitness=0.049249269
65.65 secs, 1595 evals, 1463 steps, improv/step: 0.282 (last = 0.2857), fitness=0.048739320
66.18 secs, 1609 evals, 1477 steps, improv/step: 0.284 (last = 0.4286), fitness=0.048739320
66.71 secs, 1623 evals, 1491 steps, improv/step: 0.282 (last = 0.0714), fitness=0.048739320
67.24 secs, 1637 evals, 1505 steps, improv/step: 0.280 (last = 0.1429), fitness=0.048739320
67.77 secs, 1650 evals, 1518 steps, improv/step: 0.280 (last = 0.2308), fitness=0.048739320
68.27 secs, 1663 evals, 1531 steps, improv/step: 0.281 (last = 0.3846), fitness=0.048739320
68.80 secs, 1676 evals, 1544 steps, improv/step: 0.281 (last = 0.3077), fitness=0.040546176
69.31 secs, 1688 evals, 1556 steps, improv/step: 0.280 (last = 0.1667), fitness=0.040546176
69.82 secs, 1700 evals, 1568 steps, improv/step: 0.281 (last = 0.3333), fitness=0.040546176
70.33 secs, 1713 evals, 1581 steps, improv/step: 0.281 (last = 0.3846), fitness=0.040546176
70.83 secs, 1726 evals, 1594 steps, improv/step: 0.282 (last = 0.3846), fitness=0.040546176
71.37 secs, 1740 evals, 1608 steps, improv/step: 0.282 (last = 0.2143), fitness=0.040546176
71.89 secs, 1753 evals, 1621 steps, improv/step: 0.282 (last = 0.3077), fitness=0.040546176
72.39 secs, 1765 evals, 1633 steps, improv/step: 0.281 (last = 0.1667), fitness=0.040546176
72.93 secs, 1778 evals, 1646 steps, improv/step: 0.279 (last = 0.0769), fitness=0.040546176
73.46 secs, 1791 evals, 1659 steps, improv/step: 0.280 (last = 0.3846), fitness=0.040546176
73.99 secs, 1804 evals, 1672 steps, improv/step: 0.280 (last = 0.2308), fitness=0.040546176
74.51 secs, 1817 evals, 1685 steps, improv/step: 0.280 (last = 0.2308), fitness=0.040546176
75.03 secs, 1830 evals, 1698 steps, improv/step: 0.278 (last = 0.0769), fitness=0.040546176
75.54 secs, 1843 evals, 1711 steps, improv/step: 0.279 (last = 0.3846), fitness=0.040546176
76.05 secs, 1856 evals, 1724 steps, improv/step: 0.280 (last = 0.3846), fitness=0.040546176
76.57 secs, 1869 evals, 1737 steps, improv/step: 0.280 (last = 0.3077), fitness=0.040546176
77.11 secs, 1883 evals, 1751 steps, improv/step: 0.279 (last = 0.2143), fitness=0.040546176
77.63 secs, 1897 evals, 1765 steps, improv/step: 0.279 (last = 0.2857), fitness=0.040546176
78.13 secs, 1910 evals, 1778 steps, improv/step: 0.279 (last = 0.2308), fitness=0.040546176
78.65 secs, 1923 evals, 1791 steps, improv/step: 0.278 (last = 0.1538), fitness=0.040546176
79.17 secs, 1936 evals, 1804 steps, improv/step: 0.277 (last = 0.1538), fitness=0.040546176
79.68 secs, 1949 evals, 1817 steps, improv/step: 0.276 (last = 0.1538), fitness=0.040546176
80.21 secs, 1962 evals, 1830 steps, improv/step: 0.277 (last = 0.3077), fitness=0.040546176
80.72 secs, 1975 evals, 1843 steps, improv/step: 0.277 (last = 0.3077), fitness=0.040546176
81.23 secs, 1988 evals, 1856 steps, improv/step: 0.277 (last = 0.3077), fitness=0.040546176
81.74 secs, 2001 evals, 1869 steps, improv/step: 0.278 (last = 0.3846), fitness=0.040123287
82.24 secs, 2014 evals, 1882 steps, improv/step: 0.276 (last = 0.0769), fitness=0.040123287
82.76 secs, 2031 evals, 1899 steps, improv/step: 0.276 (last = 0.2353), fitness=0.039805888
83.28 secs, 2048 evals, 1916 steps, improv/step: 0.275 (last = 0.1176), fitness=0.039805888
83.79 secs, 2064 evals, 1932 steps, improv/step: 0.274 (last = 0.1875), fitness=0.039130880
84.29 secs, 2078 evals, 1946 steps, improv/step: 0.274 (last = 0.3571), fitness=0.039130880
84.81 secs, 2091 evals, 1959 steps, improv/step: 0.275 (last = 0.3077), fitness=0.039130880
85.35 secs, 2104 evals, 1972 steps, improv/step: 0.275 (last = 0.3846), fitness=0.039130880
85.87 secs, 2117 evals, 1985 steps, improv/step: 0.277 (last = 0.5385), fitness=0.038509462
86.38 secs, 2130 evals, 1998 steps, improv/step: 0.277 (last = 0.3077), fitness=0.038509462
86.89 secs, 2143 evals, 2011 steps, improv/step: 0.278 (last = 0.3846), fitness=0.038509462
87.43 secs, 2156 evals, 2024 steps, improv/step: 0.279 (last = 0.3846), fitness=0.038322963
87.94 secs, 2169 evals, 2037 steps, improv/step: 0.278 (last = 0.2308), fitness=0.038322963
88.47 secs, 2182 evals, 2050 steps, improv/step: 0.280 (last = 0.6154), fitness=0.038322963
88.99 secs, 2195 evals, 2063 steps, improv/step: 0.280 (last = 0.1538), fitness=0.038308823
89.49 secs, 2208 evals, 2076 steps, improv/step: 0.279 (last = 0.2308), fitness=0.038308823
90.03 secs, 2221 evals, 2089 steps, improv/step: 0.280 (last = 0.3077), fitness=0.038308823
90.55 secs, 2234 evals, 2102 steps, improv/step: 0.279 (last = 0.1538), fitness=0.038308823
91.08 secs, 2248 evals, 2116 steps, improv/step: 0.279 (last = 0.2857), fitness=0.038308823
91.58 secs, 2261 evals, 2129 steps, improv/step: 0.279 (last = 0.3846), fitness=0.038308823
92.11 secs, 2274 evals, 2142 steps, improv/step: 0.279 (last = 0.1538), fitness=0.038308823
92.64 secs, 2287 evals, 2155 steps, improv/step: 0.278 (last = 0.2308), fitness=0.038308823
93.14 secs, 2299 evals, 2167 steps, improv/step: 0.279 (last = 0.3333), fitness=0.038308823
93.65 secs, 2312 evals, 2180 steps, improv/step: 0.279 (last = 0.3077), fitness=0.038244637
94.16 secs, 2325 evals, 2193 steps, improv/step: 0.279 (last = 0.2308), fitness=0.038244637
94.69 secs, 2339 evals, 2207 steps, improv/step: 0.279 (last = 0.2857), fitness=0.038244637
95.22 secs, 2354 evals, 2222 steps, improv/step: 0.278 (last = 0.2000), fitness=0.038244637
95.73 secs, 2368 evals, 2236 steps, improv/step: 0.278 (last = 0.2857), fitness=0.038244637
96.23 secs, 2382 evals, 2250 steps, improv/step: 0.278 (last = 0.2857), fitness=0.038244637
96.73 secs, 2396 evals, 2264 steps, improv/step: 0.278 (last = 0.2857), fitness=0.038244637
97.24 secs, 2408 evals, 2276 steps, improv/step: 0.277 (last = 0.0833), fitness=0.038244637
97.75 secs, 2421 evals, 2289 steps, improv/step: 0.277 (last = 0.3077), fitness=0.038244637
98.28 secs, 2435 evals, 2303 steps, improv/step: 0.277 (last = 0.1429), fitness=0.038244637
98.81 secs, 2448 evals, 2316 steps, improv/step: 0.276 (last = 0.2308), fitness=0.038244637
99.34 secs, 2461 evals, 2329 steps, improv/step: 0.276 (last = 0.1538), fitness=0.038244637
99.87 secs, 2475 evals, 2343 steps, improv/step: 0.276 (last = 0.2857), fitness=0.038244637
100.38 secs, 2489 evals, 2357 steps, improv/step: 0.275 (last = 0.0714), fitness=0.038244637
100.89 secs, 2503 evals, 2371 steps, improv/step: 0.274 (last = 0.1429), fitness=0.038184305
101.40 secs, 2516 evals, 2384 steps, improv/step: 0.274 (last = 0.3077), fitness=0.038184305
101.92 secs, 2529 evals, 2397 steps, improv/step: 0.275 (last = 0.3846), fitness=0.038184305
102.42 secs, 2542 evals, 2410 steps, improv/step: 0.275 (last = 0.3077), fitness=0.038184305
102.95 secs, 2556 evals, 2424 steps, improv/step: 0.274 (last = 0.2143), fitness=0.038184305
103.46 secs, 2570 evals, 2438 steps, improv/step: 0.274 (last = 0.1429), fitness=0.038184305
103.96 secs, 2584 evals, 2452 steps, improv/step: 0.275 (last = 0.5000), fitness=0.038184305
104.49 secs, 2599 evals, 2467 steps, improv/step: 0.275 (last = 0.2667), fitness=0.038184305
105.03 secs, 2614 evals, 2482 steps, improv/step: 0.274 (last = 0.1333), fitness=0.038184305
105.56 secs, 2629 evals, 2497 steps, improv/step: 0.273 (last = 0.1333), fitness=0.038184305
106.08 secs, 2644 evals, 2512 steps, improv/step: 0.272 (last = 0.0667), fitness=0.038184305
106.62 secs, 2659 evals, 2527 steps, improv/step: 0.272 (last = 0.3333), fitness=0.038184305
107.12 secs, 2673 evals, 2541 steps, improv/step: 0.272 (last = 0.1429), fitness=0.038184305
107.65 secs, 2688 evals, 2556 steps, improv/step: 0.271 (last = 0.2000), fitness=0.038184305
108.19 secs, 2703 evals, 2571 steps, improv/step: 0.271 (last = 0.2667), fitness=0.038184305
108.72 secs, 2718 evals, 2586 steps, improv/step: 0.272 (last = 0.4667), fitness=0.038184305
109.24 secs, 2733 evals, 2601 steps, improv/step: 0.271 (last = 0.1333), fitness=0.038184305
109.78 secs, 2748 evals, 2616 steps, improv/step: 0.271 (last = 0.2000), fitness=0.038184305
110.31 secs, 2763 evals, 2631 steps, improv/step: 0.271 (last = 0.2667), fitness=0.038184305
110.83 secs, 2778 evals, 2646 steps, improv/step: 0.271 (last = 0.2667), fitness=0.038184305
111.37 secs, 2793 evals, 2661 steps, improv/step: 0.272 (last = 0.4667), fitness=0.038184305
111.90 secs, 2808 evals, 2676 steps, improv/step: 0.272 (last = 0.3333), fitness=0.038184305
112.42 secs, 2823 evals, 2691 steps, improv/step: 0.273 (last = 0.3333), fitness=0.038184305
112.95 secs, 2838 evals, 2706 steps, improv/step: 0.272 (last = 0.2000), fitness=0.038184305
113.45 secs, 2852 evals, 2720 steps, improv/step: 0.273 (last = 0.3571), fitness=0.038177449
113.97 secs, 2867 evals, 2735 steps, improv/step: 0.272 (last = 0.2000), fitness=0.038177449
114.51 secs, 2882 evals, 2750 steps, improv/step: 0.272 (last = 0.2000), fitness=0.038177449
115.01 secs, 2896 evals, 2764 steps, improv/step: 0.271 (last = 0.1429), fitness=0.038175032
115.53 secs, 2911 evals, 2779 steps, improv/step: 0.271 (last = 0.2667), fitness=0.038175032
116.06 secs, 2926 evals, 2794 steps, improv/step: 0.271 (last = 0.2000), fitness=0.038175032
116.57 secs, 2940 evals, 2808 steps, improv/step: 0.270 (last = 0.0714), fitness=0.038175032
117.10 secs, 2955 evals, 2823 steps, improv/step: 0.270 (last = 0.2000), fitness=0.038175032
117.62 secs, 2970 evals, 2838 steps, improv/step: 0.269 (last = 0.2000), fitness=0.038173382
118.15 secs, 2985 evals, 2853 steps, improv/step: 0.268 (last = 0.1333), fitness=0.038173382
118.67 secs, 3000 evals, 2868 steps, improv/step: 0.268 (last = 0.2667), fitness=0.038173382
119.19 secs, 3015 evals, 2883 steps, improv/step: 0.268 (last = 0.2000), fitness=0.038173382
119.72 secs, 3030 evals, 2898 steps, improv/step: 0.268 (last = 0.2667), fitness=0.038173382
120.24 secs, 3045 evals, 2913 steps, improv/step: 0.267 (last = 0.0667), fitness=0.038173382
120.76 secs, 3060 evals, 2928 steps, improv/step: 0.266 (last = 0.0667), fitness=0.038173382
121.29 secs, 3073 evals, 2941 steps, improv/step: 0.267 (last = 0.5385), fitness=0.038173382
121.82 secs, 3086 evals, 2954 steps, improv/step: 0.268 (last = 0.3846), fitness=0.038173382
122.32 secs, 3098 evals, 2966 steps, improv/step: 0.268 (last = 0.3333), fitness=0.038173382
122.85 secs, 3111 evals, 2979 steps, improv/step: 0.268 (last = 0.2308), fitness=0.038173229
123.39 secs, 3124 evals, 2992 steps, improv/step: 0.268 (last = 0.2308), fitness=0.038173229
123.92 secs, 3137 evals, 3005 steps, improv/step: 0.268 (last = 0.2308), fitness=0.038173229
124.45 secs, 3151 evals, 3019 steps, improv/step: 0.268 (last = 0.4286), fitness=0.038173229
124.99 secs, 3164 evals, 3032 steps, improv/step: 0.267 (last = 0.0769), fitness=0.038173229
125.49 secs, 3176 evals, 3044 steps, improv/step: 0.268 (last = 0.5000), fitness=0.038173229
126.00 secs, 3188 evals, 3056 steps, improv/step: 0.268 (last = 0.1667), fitness=0.038173229
126.53 secs, 3201 evals, 3069 steps, improv/step: 0.268 (last = 0.3846), fitness=0.038173173
127.06 secs, 3214 evals, 3082 steps, improv/step: 0.269 (last = 0.4615), fitness=0.038173173
127.57 secs, 3226 evals, 3094 steps, improv/step: 0.270 (last = 0.3333), fitness=0.038173173
128.10 secs, 3239 evals, 3107 steps, improv/step: 0.269 (last = 0.2308), fitness=0.038173173
128.61 secs, 3251 evals, 3119 steps, improv/step: 0.271 (last = 0.5833), fitness=0.038173173
129.11 secs, 3263 evals, 3131 steps, improv/step: 0.271 (last = 0.3333), fitness=0.038173173
129.62 secs, 3275 evals, 3143 steps, improv/step: 0.270 (last = 0.0833), fitness=0.038173173
130.15 secs, 3288 evals, 3156 steps, improv/step: 0.272 (last = 0.7692), fitness=0.038173173
130.69 secs, 3301 evals, 3169 steps, improv/step: 0.271 (last = 0.0769), fitness=0.038173173
131.19 secs, 3313 evals, 3181 steps, improv/step: 0.271 (last = 0.1667), fitness=0.038173173
131.71 secs, 3325 evals, 3193 steps, improv/step: 0.271 (last = 0.3333), fitness=0.038173173
132.23 secs, 3337 evals, 3205 steps, improv/step: 0.271 (last = 0.2500), fitness=0.038173173
132.73 secs, 3349 evals, 3217 steps, improv/step: 0.271 (last = 0.3333), fitness=0.038173173
133.24 secs, 3361 evals, 3229 steps, improv/step: 0.271 (last = 0.2500), fitness=0.038173135
133.78 secs, 3374 evals, 3242 steps, improv/step: 0.271 (last = 0.2308), fitness=0.038173135
134.29 secs, 3386 evals, 3254 steps, improv/step: 0.271 (last = 0.2500), fitness=0.038173135
134.79 secs, 3398 evals, 3266 steps, improv/step: 0.271 (last = 0.1667), fitness=0.038173135
135.30 secs, 3410 evals, 3278 steps, improv/step: 0.270 (last = 0.1667), fitness=0.038173135
135.81 secs, 3422 evals, 3290 steps, improv/step: 0.270 (last = 0.2500), fitness=0.038173135
136.32 secs, 3434 evals, 3302 steps, improv/step: 0.269 (last = 0.0000), fitness=0.038173135
136.83 secs, 3446 evals, 3314 steps, improv/step: 0.269 (last = 0.3333), fitness=0.038173135
137.34 secs, 3458 evals, 3326 steps, improv/step: 0.270 (last = 0.4167), fitness=0.038173135
137.87 secs, 3471 evals, 3339 steps, improv/step: 0.270 (last = 0.1538), fitness=0.038173135
138.42 secs, 3484 evals, 3352 steps, improv/step: 0.269 (last = 0.2308), fitness=0.038173135
138.94 secs, 3497 evals, 3365 steps, improv/step: 0.270 (last = 0.3846), fitness=0.038173135
139.47 secs, 3510 evals, 3378 steps, improv/step: 0.269 (last = 0.1538), fitness=0.038173135
140.01 secs, 3523 evals, 3391 steps, improv/step: 0.269 (last = 0.2308), fitness=0.038173135
140.51 secs, 3535 evals, 3403 steps, improv/step: 0.269 (last = 0.1667), fitness=0.038173135
141.02 secs, 3547 evals, 3415 steps, improv/step: 0.269 (last = 0.3333), fitness=0.038173135
141.53 secs, 3559 evals, 3427 steps, improv/step: 0.268 (last = 0.0833), fitness=0.038173135
142.07 secs, 3572 evals, 3440 steps, improv/step: 0.268 (last = 0.0769), fitness=0.038173135
142.58 secs, 3584 evals, 3452 steps, improv/step: 0.267 (last = 0.0833), fitness=0.038173135
143.09 secs, 3596 evals, 3464 steps, improv/step: 0.267 (last = 0.1667), fitness=0.038173135
143.60 secs, 3608 evals, 3476 steps, improv/step: 0.267 (last = 0.3333), fitness=0.038173135
144.10 secs, 3620 evals, 3488 steps, improv/step: 0.267 (last = 0.3333), fitness=0.038173135
144.65 secs, 3633 evals, 3501 steps, improv/step: 0.266 (last = 0.0000), fitness=0.038173135
145.18 secs, 3646 evals, 3514 steps, improv/step: 0.266 (last = 0.1538), fitness=0.038173135
145.69 secs, 3658 evals, 3526 steps, improv/step: 0.266 (last = 0.3333), fitness=0.038173135
146.21 secs, 3670 evals, 3538 steps, improv/step: 0.266 (last = 0.1667), fitness=0.038173135
146.71 secs, 3682 evals, 3550 steps, improv/step: 0.265 (last = 0.1667), fitness=0.038173135
147.22 secs, 3694 evals, 3562 steps, improv/step: 0.266 (last = 0.4167), fitness=0.038173135
147.73 secs, 3706 evals, 3574 steps, improv/step: 0.265 (last = 0.0833), fitness=0.038173129
148.24 secs, 3718 evals, 3586 steps, improv/step: 0.265 (last = 0.3333), fitness=0.038173129
148.74 secs, 3730 evals, 3598 steps, improv/step: 0.266 (last = 0.4167), fitness=0.038173129
149.26 secs, 3742 evals, 3610 steps, improv/step: 0.266 (last = 0.3333), fitness=0.038173129
149.76 secs, 3754 evals, 3622 steps, improv/step: 0.266 (last = 0.1667), fitness=0.038173129
150.28 secs, 3766 evals, 3634 steps, improv/step: 0.266 (last = 0.4167), fitness=0.038173129
150.78 secs, 3778 evals, 3646 steps, improv/step: 0.267 (last = 0.4167), fitness=0.038173129
151.29 secs, 3790 evals, 3658 steps, improv/step: 0.267 (last = 0.3333), fitness=0.038173129
151.80 secs, 3802 evals, 3670 steps, improv/step: 0.267 (last = 0.1667), fitness=0.038173129
152.31 secs, 3814 evals, 3682 steps, improv/step: 0.267 (last = 0.3333), fitness=0.038173124
152.83 secs, 3826 evals, 3694 steps, improv/step: 0.267 (last = 0.3333), fitness=0.038173124
153.34 secs, 3838 evals, 3706 steps, improv/step: 0.268 (last = 0.5000), fitness=0.038173124
153.86 secs, 3850 evals, 3718 steps, improv/step: 0.268 (last = 0.2500), fitness=0.038173124
154.37 secs, 3862 evals, 3730 steps, improv/step: 0.268 (last = 0.2500), fitness=0.038173124
154.89 secs, 3874 evals, 3742 steps, improv/step: 0.268 (last = 0.3333), fitness=0.038173124
155.40 secs, 3886 evals, 3754 steps, improv/step: 0.268 (last = 0.2500), fitness=0.038173124
155.90 secs, 3898 evals, 3766 steps, improv/step: 0.268 (last = 0.4167), fitness=0.038173121
156.41 secs, 3910 evals, 3778 steps, improv/step: 0.269 (last = 0.3333), fitness=0.038173121
156.92 secs, 3922 evals, 3790 steps, improv/step: 0.269 (last = 0.2500), fitness=0.038173121
157.42 secs, 3934 evals, 3802 steps, improv/step: 0.269 (last = 0.3333), fitness=0.038173121
157.93 secs, 3946 evals, 3814 steps, improv/step: 0.268 (last = 0.0000), fitness=0.038173121
158.46 secs, 3958 evals, 3826 steps, improv/step: 0.268 (last = 0.1667), fitness=0.038173121
158.97 secs, 3970 evals, 3838 steps, improv/step: 0.267 (last = 0.1667), fitness=0.038173120
159.48 secs, 3982 evals, 3850 steps, improv/step: 0.267 (last = 0.0833), fitness=0.038173120
160.02 secs, 3995 evals, 3863 steps, improv/step: 0.267 (last = 0.3077), fitness=0.038173120
160.53 secs, 4007 evals, 3875 steps, improv/step: 0.267 (last = 0.3333), fitness=0.038173120
161.04 secs, 4019 evals, 3887 steps, improv/step: 0.267 (last = 0.2500), fitness=0.038173120
161.55 secs, 4031 evals, 3899 steps, improv/step: 0.268 (last = 0.5000), fitness=0.038173120
162.05 secs, 4043 evals, 3911 steps, improv/step: 0.267 (last = 0.0833), fitness=0.038173120
162.57 secs, 4055 evals, 3923 steps, improv/step: 0.267 (last = 0.1667), fitness=0.038173120
163.07 secs, 4067 evals, 3935 steps, improv/step: 0.267 (last = 0.2500), fitness=0.038173120
163.59 secs, 4079 evals, 3947 steps, improv/step: 0.267 (last = 0.2500), fitness=0.038173120
164.09 secs, 4091 evals, 3959 steps, improv/step: 0.267 (last = 0.5000), fitness=0.038173120
164.60 secs, 4103 evals, 3971 steps, improv/step: 0.269 (last = 0.6667), fitness=0.038173120
165.12 secs, 4115 evals, 3983 steps, improv/step: 0.270 (last = 0.5833), fitness=0.038173120
165.62 secs, 4127 evals, 3995 steps, improv/step: 0.269 (last = 0.1667), fitness=0.038173120
166.14 secs, 4139 evals, 4007 steps, improv/step: 0.269 (last = 0.2500), fitness=0.038173120
166.64 secs, 4151 evals, 4019 steps, improv/step: 0.269 (last = 0.3333), fitness=0.038173120
167.15 secs, 4163 evals, 4031 steps, improv/step: 0.269 (last = 0.0000), fitness=0.038173120
167.65 secs, 4175 evals, 4043 steps, improv/step: 0.269 (last = 0.2500), fitness=0.038173120
168.16 secs, 4187 evals, 4055 steps, improv/step: 0.268 (last = 0.0833), fitness=0.038173120
168.67 secs, 4199 evals, 4067 steps, improv/step: 0.268 (last = 0.1667), fitness=0.038173120
169.18 secs, 4211 evals, 4079 steps, improv/step: 0.268 (last = 0.2500), fitness=0.038173120
169.69 secs, 4223 evals, 4091 steps, improv/step: 0.268 (last = 0.2500), fitness=0.038173120
170.21 secs, 4235 evals, 4103 steps, improv/step: 0.268 (last = 0.2500), fitness=0.038173120
170.73 secs, 4248 evals, 4116 steps, improv/step: 0.267 (last = 0.1538), fitness=0.038173120
171.27 secs, 4261 evals, 4129 steps, improv/step: 0.268 (last = 0.3846), fitness=0.038173120
171.77 secs, 4272 evals, 4140 steps, improv/step: 0.268 (last = 0.3636), fitness=0.038173120
172.31 secs, 4285 evals, 4153 steps, improv/step: 0.268 (last = 0.2308), fitness=0.038173120
172.84 secs, 4298 evals, 4166 steps, improv/step: 0.267 (last = 0.0769), fitness=0.038173120
173.35 secs, 4311 evals, 4179 steps, improv/step: 0.267 (last = 0.2308), fitness=0.038173120
173.86 secs, 4324 evals, 4192 steps, improv/step: 0.267 (last = 0.3077), fitness=0.038173118
174.37 secs, 4337 evals, 4205 steps, improv/step: 0.267 (last = 0.0769), fitness=0.038173118
174.88 secs, 4349 evals, 4217 steps, improv/step: 0.266 (last = 0.1667), fitness=0.038173118
175.40 secs, 4361 evals, 4229 steps, improv/step: 0.266 (last = 0.0000), fitness=0.038173118
175.91 secs, 4373 evals, 4241 steps, improv/step: 0.266 (last = 0.2500), fitness=0.038173118
176.43 secs, 4385 evals, 4253 steps, improv/step: 0.266 (last = 0.4167), fitness=0.038173118
176.93 secs, 4397 evals, 4265 steps, improv/step: 0.265 (last = 0.0833), fitness=0.038173118
177.44 secs, 4409 evals, 4277 steps, improv/step: 0.265 (last = 0.2500), fitness=0.038173118
177.98 secs, 4422 evals, 4290 steps, improv/step: 0.265 (last = 0.1538), fitness=0.038173118
178.51 secs, 4435 evals, 4303 steps, improv/step: 0.265 (last = 0.1538), fitness=0.038173118
179.05 secs, 4448 evals, 4316 steps, improv/step: 0.264 (last = 0.1538), fitness=0.038173118
179.55 secs, 4460 evals, 4328 steps, improv/step: 0.264 (last = 0.0833), fitness=0.038173118
180.06 secs, 4472 evals, 4340 steps, improv/step: 0.263 (last = 0.0833), fitness=0.038173118
180.57 secs, 4485 evals, 4353 steps, improv/step: 0.263 (last = 0.1538), fitness=0.038173118
181.09 secs, 4498 evals, 4366 steps, improv/step: 0.263 (last = 0.3077), fitness=0.038173118
181.62 secs, 4511 evals, 4379 steps, improv/step: 0.263 (last = 0.0769), fitness=0.038173118
182.13 secs, 4524 evals, 4392 steps, improv/step: 0.263 (last = 0.3846), fitness=0.038173117
182.65 secs, 4537 evals, 4405 steps, improv/step: 0.263 (last = 0.2308), fitness=0.038173117
183.17 secs, 4550 evals, 4418 steps, improv/step: 0.262 (last = 0.0769), fitness=0.038173117
183.68 secs, 4562 evals, 4430 steps, improv/step: 0.262 (last = 0.2500), fitness=0.038173117
184.20 secs, 4575 evals, 4443 steps, improv/step: 0.262 (last = 0.1538), fitness=0.038173117
184.70 secs, 4587 evals, 4455 steps, improv/step: 0.262 (last = 0.1667), fitness=0.038173117
185.24 secs, 4600 evals, 4468 steps, improv/step: 0.262 (last = 0.2308), fitness=0.038173117
185.76 secs, 4613 evals, 4481 steps, improv/step: 0.262 (last = 0.2308), fitness=0.038173117
186.28 secs, 4626 evals, 4494 steps, improv/step: 0.262 (last = 0.4615), fitness=0.038173117
186.81 secs, 4639 evals, 4507 steps, improv/step: 0.262 (last = 0.3077), fitness=0.038173117
187.33 secs, 4651 evals, 4519 steps, improv/step: 0.263 (last = 0.4167), fitness=0.038173117
187.86 secs, 4664 evals, 4532 steps, improv/step: 0.262 (last = 0.0769), fitness=0.038173117
188.36 secs, 4676 evals, 4544 steps, improv/step: 0.262 (last = 0.0833), fitness=0.038173117
188.88 secs, 4689 evals, 4557 steps, improv/step: 0.261 (last = 0.1538), fitness=0.038173117
189.39 secs, 4701 evals, 4569 steps, improv/step: 0.261 (last = 0.2500), fitness=0.038173117
189.92 secs, 4714 evals, 4582 steps, improv/step: 0.261 (last = 0.1538), fitness=0.038173117
190.46 secs, 4727 evals, 4595 steps, improv/step: 0.261 (last = 0.3846), fitness=0.038173117
190.99 secs, 4740 evals, 4608 steps, improv/step: 0.261 (last = 0.0769), fitness=0.038173117
191.52 secs, 4753 evals, 4621 steps, improv/step: 0.260 (last = 0.0769), fitness=0.038173117
192.06 secs, 4766 evals, 4634 steps, improv/step: 0.260 (last = 0.2308), fitness=0.038173117
192.59 secs, 4779 evals, 4647 steps, improv/step: 0.260 (last = 0.1538), fitness=0.038173117
193.12 secs, 4792 evals, 4660 steps, improv/step: 0.259 (last = 0.0769), fitness=0.038173117
193.62 secs, 4804 evals, 4672 steps, improv/step: 0.259 (last = 0.2500), fitness=0.038173117
194.13 secs, 4816 evals, 4684 steps, improv/step: 0.259 (last = 0.0833), fitness=0.038173117
194.64 secs, 4828 evals, 4696 steps, improv/step: 0.259 (last = 0.3333), fitness=0.038173117
195.18 secs, 4841 evals, 4709 steps, improv/step: 0.259 (last = 0.3077), fitness=0.038173117
195.68 secs, 4853 evals, 4721 steps, improv/step: 0.259 (last = 0.0000), fitness=0.038173117
196.18 secs, 4865 evals, 4733 steps, improv/step: 0.259 (last = 0.3333), fitness=0.038173117
196.68 secs, 4877 evals, 4745 steps, improv/step: 0.259 (last = 0.4167), fitness=0.038173117
197.21 secs, 4890 evals, 4758 steps, improv/step: 0.259 (last = 0.0769), fitness=0.038173117
197.75 secs, 4903 evals, 4772 steps, improv/step: 0.259 (last = 0.2857), fitness=0.038173117
198.30 secs, 4916 evals, 4785 steps, improv/step: 0.259 (last = 0.2308), fitness=0.038173117
198.80 secs, 4928 evals, 4797 steps, improv/step: 0.259 (last = 0.2500), fitness=0.038173117
199.32 secs, 4940 evals, 4809 steps, improv/step: 0.259 (last = 0.2500), fitness=0.038173117
199.84 secs, 4954 evals, 4823 steps, improv/step: 0.258 (last = 0.0714), fitness=0.038173117
200.36 secs, 4968 evals, 4837 steps, improv/step: 0.258 (last = 0.2143), fitness=0.038173117
200.88 secs, 4981 evals, 4850 steps, improv/step: 0.258 (last = 0.3077), fitness=0.038173117
201.38 secs, 4993 evals, 4862 steps, improv/step: 0.259 (last = 0.4167), fitness=0.038173117
201.89 secs, 5005 evals, 4874 steps, improv/step: 0.258 (last = 0.1667), fitness=0.038173117
202.43 secs, 5018 evals, 4887 steps, improv/step: 0.258 (last = 0.1538), fitness=0.038173117
202.96 secs, 5031 evals, 4900 steps, improv/step: 0.258 (last = 0.0769), fitness=0.038173117
203.49 secs, 5044 evals, 4913 steps, improv/step: 0.257 (last = 0.2308), fitness=0.038173117
204.04 secs, 5057 evals, 4926 steps, improv/step: 0.257 (last = 0.0769), fitness=0.038173117
204.56 secs, 5070 evals, 4939 steps, improv/step: 0.257 (last = 0.1538), fitness=0.038173117
205.06 secs, 5082 evals, 4951 steps, improv/step: 0.257 (last = 0.3333), fitness=0.038173117
205.58 secs, 5094 evals, 4963 steps, improv/step: 0.257 (last = 0.1667), fitness=0.038173117
206.08 secs, 5106 evals, 4975 steps, improv/step: 0.256 (last = 0.0833), fitness=0.038173117
206.58 secs, 5118 evals, 4987 steps, improv/step: 0.256 (last = 0.2500), fitness=0.038173117
207.10 secs, 5131 evals, 5000 steps, improv/step: 0.257 (last = 0.3846), fitness=0.038173117
207.61 secs, 5143 evals, 5012 steps, improv/step: 0.256 (last = 0.1667), fitness=0.038173117
208.14 secs, 5156 evals, 5025 steps, improv/step: 0.256 (last = 0.1538), fitness=0.038173117
208.65 secs, 5168 evals, 5037 steps, improv/step: 0.256 (last = 0.0833), fitness=0.038173117
209.17 secs, 5181 evals, 5050 steps, improv/step: 0.255 (last = 0.0769), fitness=0.038173117
209.70 secs, 5194 evals, 5063 steps, improv/step: 0.255 (last = 0.0000), fitness=0.038173117
210.20 secs, 5206 evals, 5075 steps, improv/step: 0.254 (last = 0.0833), fitness=0.038173117
210.72 secs, 5219 evals, 5088 steps, improv/step: 0.254 (last = 0.2308), fitness=0.038173117
211.23 secs, 5231 evals, 5100 steps, improv/step: 0.254 (last = 0.2500), fitness=0.038173117
211.77 secs, 5244 evals, 5113 steps, improv/step: 0.254 (last = 0.1538), fitness=0.038173117
212.28 secs, 5256 evals, 5125 steps, improv/step: 0.254 (last = 0.1667), fitness=0.038173117
212.78 secs, 5268 evals, 5137 steps, improv/step: 0.253 (last = 0.0833), fitness=0.038173117
213.30 secs, 5280 evals, 5149 steps, improv/step: 0.253 (last = 0.0000), fitness=0.038173117
213.80 secs, 5292 evals, 5161 steps, improv/step: 0.252 (last = 0.0000), fitness=0.038173117
214.31 secs, 5304 evals, 5173 steps, improv/step: 0.251 (last = 0.0000), fitness=0.038173117
214.85 secs, 5317 evals, 5186 steps, improv/step: 0.251 (last = 0.2308), fitness=0.038173117
215.38 secs, 5330 evals, 5199 steps, improv/step: 0.251 (last = 0.1538), fitness=0.038173117
215.89 secs, 5342 evals, 5211 steps, improv/step: 0.251 (last = 0.0833), fitness=0.038173117
216.40 secs, 5354 evals, 5223 steps, improv/step: 0.250 (last = 0.0000), fitness=0.038173117
216.91 secs, 5366 evals, 5235 steps, improv/step: 0.250 (last = 0.0000), fitness=0.038173117
217.42 secs, 5378 evals, 5247 steps, improv/step: 0.249 (last = 0.1667), fitness=0.038173117
217.94 secs, 5390 evals, 5259 steps, improv/step: 0.249 (last = 0.1667), fitness=0.038173117
218.45 secs, 5402 evals, 5271 steps, improv/step: 0.249 (last = 0.1667), fitness=0.038173117
218.96 secs, 5414 evals, 5283 steps, improv/step: 0.249 (last = 0.2500), fitness=0.038173117
219.47 secs, 5426 evals, 5295 steps, improv/step: 0.249 (last = 0.0833), fitness=0.038173117
219.98 secs, 5438 evals, 5307 steps, improv/step: 0.248 (last = 0.0000), fitness=0.038173117
220.50 secs, 5450 evals, 5319 steps, improv/step: 0.248 (last = 0.0000), fitness=0.038173117
221.01 secs, 5462 evals, 5331 steps, improv/step: 0.247 (last = 0.0000), fitness=0.038173117
221.52 secs, 5474 evals, 5343 steps, improv/step: 0.247 (last = 0.0833), fitness=0.038173117
222.03 secs, 5486 evals, 5355 steps, improv/step: 0.247 (last = 0.2500), fitness=0.038173117
222.55 secs, 5498 evals, 5367 steps, improv/step: 0.246 (last = 0.0833), fitness=0.038173117
223.05 secs, 5510 evals, 5379 steps, improv/step: 0.246 (last = 0.0833), fitness=0.038173117
223.57 secs, 5522 evals, 5391 steps, improv/step: 0.246 (last = 0.0833), fitness=0.038173117
224.10 secs, 5535 evals, 5404 steps, improv/step: 0.246 (last = 0.2308), fitness=0.038173117
224.61 secs, 5547 evals, 5416 steps, improv/step: 0.245 (last = 0.0833), fitness=0.038173117
225.11 secs, 5559 evals, 5428 steps, improv/step: 0.245 (last = 0.3333), fitness=0.038173117
225.63 secs, 5571 evals, 5440 steps, improv/step: 0.245 (last = 0.0833), fitness=0.038173117
226.14 secs, 5583 evals, 5452 steps, improv/step: 0.244 (last = 0.0000), fitness=0.038173117
226.67 secs, 5596 evals, 5465 steps, improv/step: 0.244 (last = 0.0000), fitness=0.038173117
227.19 secs, 5608 evals, 5477 steps, improv/step: 0.244 (last = 0.0833), fitness=0.038173117
227.71 secs, 5621 evals, 5490 steps, improv/step: 0.243 (last = 0.1538), fitness=0.038173117
228.25 secs, 5634 evals, 5503 steps, improv/step: 0.243 (last = 0.0769), fitness=0.038173117
228.76 secs, 5646 evals, 5515 steps, improv/step: 0.243 (last = 0.0833), fitness=0.038173117
229.26 secs, 5658 evals, 5527 steps, improv/step: 0.242 (last = 0.0000), fitness=0.038173117
229.80 secs, 5671 evals, 5540 steps, improv/step: 0.242 (last = 0.0000), fitness=0.038173117
230.31 secs, 5683 evals, 5552 steps, improv/step: 0.241 (last = 0.0833), fitness=0.038173117
230.83 secs, 5696 evals, 5565 steps, improv/step: 0.241 (last = 0.1538), fitness=0.038173117
231.33 secs, 5709 evals, 5578 steps, improv/step: 0.241 (last = 0.1538), fitness=0.038173117
231.84 secs, 5721 evals, 5590 steps, improv/step: 0.240 (last = 0.0833), fitness=0.038173117
232.36 secs, 5734 evals, 5603 steps, improv/step: 0.240 (last = 0.0000), fitness=0.038173117
232.87 secs, 5747 evals, 5616 steps, improv/step: 0.239 (last = 0.0000), fitness=0.038173117
233.40 secs, 5760 evals, 5629 steps, improv/step: 0.239 (last = 0.0000), fitness=0.038173117
233.94 secs, 5773 evals, 5642 steps, improv/step: 0.238 (last = 0.0000), fitness=0.038173117
234.45 secs, 5785 evals, 5654 steps, improv/step: 0.238 (last = 0.1667), fitness=0.038173117
234.99 secs, 5798 evals, 5667 steps, improv/step: 0.238 (last = 0.0000), fitness=0.038173117
235.51 secs, 5811 evals, 5680 steps, improv/step: 0.237 (last = 0.0000), fitness=0.038173117
236.05 secs, 5824 evals, 5693 steps, improv/step: 0.236 (last = 0.0000), fitness=0.038173117
236.57 secs, 5837 evals, 5706 steps, improv/step: 0.236 (last = 0.0000), fitness=0.038173117
237.10 secs, 5850 evals, 5719 steps, improv/step: 0.235 (last = 0.0000), fitness=0.038173117
237.62 secs, 5862 evals, 5731 steps, improv/step: 0.235 (last = 0.0000), fitness=0.038173117
238.16 secs, 5875 evals, 5744 steps, improv/step: 0.234 (last = 0.0000), fitness=0.038173117
238.69 secs, 5888 evals, 5757 steps, improv/step: 0.234 (last = 0.0000), fitness=0.038173117
239.21 secs, 5900 evals, 5769 steps, improv/step: 0.233 (last = 0.0833), fitness=0.038173117
239.73 secs, 5913 evals, 5782 steps, improv/step: 0.233 (last = 0.0000), fitness=0.038173117
240.27 secs, 5926 evals, 5795 steps, improv/step: 0.233 (last = 0.0769), fitness=0.038173117
240.79 secs, 5939 evals, 5808 steps, improv/step: 0.232 (last = 0.0000), fitness=0.038173117
241.30 secs, 5952 evals, 5821 steps, improv/step: 0.232 (last = 0.0769), fitness=0.038173117
241.82 secs, 5965 evals, 5834 steps, improv/step: 0.231 (last = 0.0000), fitness=0.038173117
242.35 secs, 5978 evals, 5847 steps, improv/step: 0.231 (last = 0.0000), fitness=0.038173117
242.86 secs, 5990 evals, 5859 steps, improv/step: 0.230 (last = 0.0000), fitness=0.038173117
243.39 secs, 6003 evals, 5872 steps, improv/step: 0.230 (last = 0.0769), fitness=0.038173117
243.92 secs, 6016 evals, 5885 steps, improv/step: 0.230 (last = 0.0769), fitness=0.038173117
244.47 secs, 6029 evals, 5898 steps, improv/step: 0.229 (last = 0.0769), fitness=0.038173117
244.97 secs, 6041 evals, 5910 steps, improv/step: 0.229 (last = 0.0000), fitness=0.038173117
245.49 secs, 6053 evals, 5922 steps, improv/step: 0.228 (last = 0.0833), fitness=0.038173117
246.03 secs, 6066 evals, 5935 steps, improv/step: 0.228 (last = 0.0000), fitness=0.038173117
246.54 secs, 6078 evals, 5947 steps, improv/step: 0.228 (last = 0.1667), fitness=0.038173117
247.07 secs, 6092 evals, 5961 steps, improv/step: 0.227 (last = 0.0000), fitness=0.038173117
247.58 secs, 6104 evals, 5973 steps, improv/step: 0.227 (last = 0.0000), fitness=0.038173117
248.08 secs, 6116 evals, 5985 steps, improv/step: 0.226 (last = 0.0000), fitness=0.038173117
248.59 secs, 6128 evals, 5997 steps, improv/step: 0.226 (last = 0.0000), fitness=0.038173117
249.11 secs, 6140 evals, 6009 steps, improv/step: 0.226 (last = 0.0833), fitness=0.038173117
249.65 secs, 6153 evals, 6022 steps, improv/step: 0.226 (last = 0.1538), fitness=0.038173117
250.18 secs, 6166 evals, 6035 steps, improv/step: 0.225 (last = 0.0769), fitness=0.038173117
250.72 secs, 6179 evals, 6048 steps, improv/step: 0.225 (last = 0.0769), fitness=0.038173117
251.23 secs, 6191 evals, 6060 steps, improv/step: 0.224 (last = 0.0000), fitness=0.038173117
251.77 secs, 6204 evals, 6073 steps, improv/step: 0.224 (last = 0.1538), fitness=0.038173117
252.30 secs, 6217 evals, 6086 steps, improv/step: 0.224 (last = 0.0769), fitness=0.038173117
252.82 secs, 6229 evals, 6098 steps, improv/step: 0.224 (last = 0.0833), fitness=0.038173117
253.33 secs, 6241 evals, 6110 steps, improv/step: 0.223 (last = 0.0833), fitness=0.038173117
253.84 secs, 6253 evals, 6122 steps, improv/step: 0.223 (last = 0.1667), fitness=0.038173117
254.38 secs, 6266 evals, 6135 steps, improv/step: 0.223 (last = 0.0000), fitness=0.038173117
254.89 secs, 6278 evals, 6147 steps, improv/step: 0.222 (last = 0.0000), fitness=0.038173117
255.39 secs, 6290 evals, 6159 steps, improv/step: 0.222 (last = 0.0000), fitness=0.038173117
255.91 secs, 6302 evals, 6171 steps, improv/step: 0.222 (last = 0.0833), fitness=0.038173117
256.42 secs, 6314 evals, 6183 steps, improv/step: 0.221 (last = 0.0833), fitness=0.038173117
256.93 secs, 6326 evals, 6195 steps, improv/step: 0.221 (last = 0.0000), fitness=0.038173117
257.44 secs, 6338 evals, 6207 steps, improv/step: 0.221 (last = 0.0000), fitness=0.038173117
257.95 secs, 6350 evals, 6219 steps, improv/step: 0.220 (last = 0.0833), fitness=0.038173117
258.46 secs, 6362 evals, 6231 steps, improv/step: 0.220 (last = 0.0833), fitness=0.038173117
258.97 secs, 6374 evals, 6243 steps, improv/step: 0.220 (last = 0.0000), fitness=0.038173117
259.50 secs, 6387 evals, 6256 steps, improv/step: 0.219 (last = 0.0000), fitness=0.038173117
260.03 secs, 6400 evals, 6269 steps, improv/step: 0.219 (last = 0.0000), fitness=0.038173117
260.54 secs, 6412 evals, 6281 steps, improv/step: 0.218 (last = 0.0000), fitness=0.038173117
261.07 secs, 6425 evals, 6294 steps, improv/step: 0.218 (last = 0.0769), fitness=0.038173117
261.58 secs, 6437 evals, 6306 steps, improv/step: 0.218 (last = 0.0000), fitness=0.038173117
262.12 secs, 6450 evals, 6319 steps, improv/step: 0.217 (last = 0.0000), fitness=0.038173117
262.63 secs, 6462 evals, 6331 steps, improv/step: 0.217 (last = 0.0833), fitness=0.038173117
263.15 secs, 6474 evals, 6343 steps, improv/step: 0.216 (last = 0.0000), fitness=0.038173117
263.65 secs, 6486 evals, 6355 steps, improv/step: 0.216 (last = 0.0833), fitness=0.038173117
264.17 secs, 6498 evals, 6367 steps, improv/step: 0.216 (last = 0.0833), fitness=0.038173117
264.70 secs, 6511 evals, 6380 steps, improv/step: 0.216 (last = 0.0000), fitness=0.038173117
265.22 secs, 6523 evals, 6392 steps, improv/step: 0.215 (last = 0.0833), fitness=0.038173117
265.72 secs, 6535 evals, 6404 steps, improv/step: 0.215 (last = 0.0000), fitness=0.038173117
266.24 secs, 6547 evals, 6416 steps, improv/step: 0.214 (last = 0.0000), fitness=0.038173117
266.75 secs, 6559 evals, 6428 steps, improv/step: 0.214 (last = 0.0000), fitness=0.038173117
267.26 secs, 6571 evals, 6440 steps, improv/step: 0.214 (last = 0.0000), fitness=0.038173117
267.77 secs, 6583 evals, 6452 steps, improv/step: 0.213 (last = 0.0000), fitness=0.038173117
268.27 secs, 6595 evals, 6464 steps, improv/step: 0.213 (last = 0.0000), fitness=0.038173117
268.78 secs, 6607 evals, 6476 steps, improv/step: 0.213 (last = 0.0833), fitness=0.038173117
269.29 secs, 6619 evals, 6488 steps, improv/step: 0.213 (last = 0.1667), fitness=0.038173117
269.80 secs, 6631 evals, 6500 steps, improv/step: 0.212 (last = 0.0000), fitness=0.038173117
270.30 secs, 6643 evals, 6512 steps, improv/step: 0.212 (last = 0.1667), fitness=0.038173117
270.82 secs, 6655 evals, 6524 steps, improv/step: 0.212 (last = 0.0000), fitness=0.038173117
271.35 secs, 6668 evals, 6537 steps, improv/step: 0.211 (last = 0.0769), fitness=0.038173117
271.86 secs, 6680 evals, 6549 steps, improv/step: 0.211 (last = 0.0000), fitness=0.038173117
272.40 secs, 6693 evals, 6562 steps, improv/step: 0.211 (last = 0.0000), fitness=0.038173117
272.90 secs, 6705 evals, 6574 steps, improv/step: 0.210 (last = 0.0000), fitness=0.038173117
273.43 secs, 6718 evals, 6587 steps, improv/step: 0.210 (last = 0.0000), fitness=0.038173117
273.93 secs, 6730 evals, 6599 steps, improv/step: 0.210 (last = 0.0833), fitness=0.038173117
274.47 secs, 6743 evals, 6612 steps, improv/step: 0.209 (last = 0.0000), fitness=0.038173117
275.01 secs, 6756 evals, 6625 steps, improv/step: 0.209 (last = 0.0769), fitness=0.038173117
275.51 secs, 6768 evals, 6637 steps, improv/step: 0.209 (last = 0.0000), fitness=0.038173117
276.04 secs, 6781 evals, 6650 steps, improv/step: 0.208 (last = 0.0769), fitness=0.038173116
276.55 secs, 6793 evals, 6662 steps, improv/step: 0.208 (last = 0.0000), fitness=0.038173116
277.09 secs, 6806 evals, 6675 steps, improv/step: 0.208 (last = 0.0769), fitness=0.038173116
277.62 secs, 6817 evals, 6686 steps, improv/step: 0.207 (last = 0.0000), fitness=0.038173116
278.17 secs, 6830 evals, 6699 steps, improv/step: 0.207 (last = 0.1538), fitness=0.038173116
278.71 secs, 6843 evals, 6712 steps, improv/step: 0.207 (last = 0.0000), fitness=0.038173116
279.25 secs, 6856 evals, 6725 steps, improv/step: 0.206 (last = 0.0000), fitness=0.038173116
279.77 secs, 6869 evals, 6738 steps, improv/step: 0.206 (last = 0.0769), fitness=0.038173116
280.27 secs, 6881 evals, 6750 steps, improv/step: 0.206 (last = 0.0833), fitness=0.038173116
280.81 secs, 6894 evals, 6763 steps, improv/step: 0.206 (last = 0.0769), fitness=0.038173116
281.32 secs, 6906 evals, 6775 steps, improv/step: 0.205 (last = 0.0000), fitness=0.038173116
281.86 secs, 6919 evals, 6788 steps, improv/step: 0.205 (last = 0.0769), fitness=0.038173116
282.39 secs, 6932 evals, 6801 steps, improv/step: 0.205 (last = 0.1538), fitness=0.038173116
282.89 secs, 6944 evals, 6813 steps, improv/step: 0.205 (last = 0.0000), fitness=0.038173116
283.43 secs, 6957 evals, 6826 steps, improv/step: 0.205 (last = 0.1538), fitness=0.038173116
283.94 secs, 6969 evals, 6838 steps, improv/step: 0.204 (last = 0.0000), fitness=0.038173116
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389.44 secs, 9643 evals, 9514 steps, improv/step: 0.159 (last = 0.0000), fitness=0.038173116
389.96 secs, 9658 evals, 9529 steps, improv/step: 0.159 (last = 0.0000), fitness=0.038173116
390.48 secs, 9673 evals, 9544 steps, improv/step: 0.158 (last = 0.0000), fitness=0.038173116
391.00 secs, 9688 evals, 9559 steps, improv/step: 0.158 (last = 0.0000), fitness=0.038173116
391.51 secs, 9703 evals, 9574 steps, improv/step: 0.158 (last = 0.0000), fitness=0.038173116
392.02 secs, 9718 evals, 9589 steps, improv/step: 0.158 (last = 0.0667), fitness=0.038173116
392.54 secs, 9733 evals, 9604 steps, improv/step: 0.158 (last = 0.2000), fitness=0.038173116
393.06 secs, 9748 evals, 9619 steps, improv/step: 0.158 (last = 0.0000), fitness=0.038173116
393.56 secs, 9762 evals, 9633 steps, improv/step: 0.157 (last = 0.0000), fitness=0.038173116
394.07 secs, 9775 evals, 9646 steps, improv/step: 0.157 (last = 0.0000), fitness=0.038173116
394.60 secs, 9788 evals, 9659 steps, improv/step: 0.157 (last = 0.0000), fitness=0.038173116
395.14 secs, 9801 evals, 9672 steps, improv/step: 0.157 (last = 0.0000), fitness=0.038173116
395.67 secs, 9814 evals, 9685 steps, improv/step: 0.157 (last = 0.0000), fitness=0.038173116
396.20 secs, 9827 evals, 9698 steps, improv/step: 0.157 (last = 0.1538), fitness=0.038173116
396.73 secs, 9840 evals, 9711 steps, improv/step: 0.156 (last = 0.0769), fitness=0.038173116
397.26 secs, 9854 evals, 9725 steps, improv/step: 0.156 (last = 0.0714), fitness=0.038173116
397.80 secs, 9867 evals, 9738 steps, improv/step: 0.156 (last = 0.0769), fitness=0.038173116
398.33 secs, 9880 evals, 9751 steps, improv/step: 0.156 (last = 0.0769), fitness=0.038173116
398.84 secs, 9892 evals, 9763 steps, improv/step: 0.156 (last = 0.0000), fitness=0.038173116
399.35 secs, 9904 evals, 9775 steps, improv/step: 0.156 (last = 0.0000), fitness=0.038173116
399.86 secs, 9916 evals, 9787 steps, improv/step: 0.156 (last = 0.0833), fitness=0.038173116
400.39 secs, 9928 evals, 9799 steps, improv/step: 0.156 (last = 0.0833), fitness=0.038173116
400.90 secs, 9940 evals, 9811 steps, improv/step: 0.155 (last = 0.0833), fitness=0.038173116
401.41 secs, 9952 evals, 9823 steps, improv/step: 0.155 (last = 0.0000), fitness=0.038173116
401.93 secs, 9964 evals, 9835 steps, improv/step: 0.155 (last = 0.0000), fitness=0.038173116
402.46 secs, 9976 evals, 9847 steps, improv/step: 0.155 (last = 0.1667), fitness=0.038173116
402.97 secs, 9988 evals, 9859 steps, improv/step: 0.155 (last = 0.0000), fitness=0.038173116
403.49 secs, 10000 evals, 9871 steps, improv/step: 0.155 (last = 0.0000), fitness=0.038173116
404.00 secs, 10011 evals, 9882 steps, improv/step: 0.155 (last = 0.0000), fitness=0.038173116
404.53 secs, 10023 evals, 9894 steps, improv/step: 0.154 (last = 0.0000), fitness=0.038173116
405.08 secs, 10035 evals, 9906 steps, improv/step: 0.154 (last = 0.0833), fitness=0.038173116
405.59 secs, 10047 evals, 9918 steps, improv/step: 0.154 (last = 0.0833), fitness=0.038173116
406.12 secs, 10060 evals, 9931 steps, improv/step: 0.154 (last = 0.0769), fitness=0.038173116
406.62 secs, 10074 evals, 9945 steps, improv/step: 0.154 (last = 0.0714), fitness=0.038173116
407.12 secs, 10088 evals, 9959 steps, improv/step: 0.154 (last = 0.0714), fitness=0.038173116
407.65 secs, 10103 evals, 9974 steps, improv/step: 0.154 (last = 0.0000), fitness=0.038173116
408.16 secs, 10117 evals, 9988 steps, improv/step: 0.153 (last = 0.0000), fitness=0.038173116
408.68 secs, 10132 evals, 10003 steps, improv/step: 0.153 (last = 0.0000), fitness=0.038173116
409.20 secs, 10147 evals, 10018 steps, improv/step: 0.153 (last = 0.0667), fitness=0.038173116
409.71 secs, 10162 evals, 10033 steps, improv/step: 0.153 (last = 0.1333), fitness=0.038173116
410.23 secs, 10177 evals, 10048 steps, improv/step: 0.153 (last = 0.0000), fitness=0.038173116
410.74 secs, 10192 evals, 10063 steps, improv/step: 0.153 (last = 0.0000), fitness=0.038173116
411.25 secs, 10207 evals, 10078 steps, improv/step: 0.152 (last = 0.0000), fitness=0.038173116
411.78 secs, 10222 evals, 10093 steps, improv/step: 0.152 (last = 0.0000), fitness=0.038173116
412.29 secs, 10235 evals, 10106 steps, improv/step: 0.152 (last = 0.0769), fitness=0.038173116
412.81 secs, 10248 evals, 10119 steps, improv/step: 0.152 (last = 0.0769), fitness=0.038173116
413.33 secs, 10261 evals, 10132 steps, improv/step: 0.152 (last = 0.0769), fitness=0.038173116
413.84 secs, 10274 evals, 10145 steps, improv/step: 0.152 (last = 0.0000), fitness=0.038173116
414.34 secs, 10288 evals, 10159 steps, improv/step: 0.151 (last = 0.0000), fitness=0.038173116
414.86 secs, 10301 evals, 10172 steps, improv/step: 0.151 (last = 0.0000), fitness=0.038173116
415.38 secs, 10314 evals, 10185 steps, improv/step: 0.151 (last = 0.0769), fitness=0.038173116
415.91 secs, 10327 evals, 10198 steps, improv/step: 0.151 (last = 0.1538), fitness=0.038173116
416.42 secs, 10340 evals, 10211 steps, improv/step: 0.151 (last = 0.0769), fitness=0.038173116
416.95 secs, 10353 evals, 10224 steps, improv/step: 0.151 (last = 0.0000), fitness=0.038173116
417.49 secs, 10366 evals, 10237 steps, improv/step: 0.151 (last = 0.0000), fitness=0.038173116
418.02 secs, 10380 evals, 10251 steps, improv/step: 0.150 (last = 0.0000), fitness=0.038173116
418.53 secs, 10392 evals, 10263 steps, improv/step: 0.150 (last = 0.0000), fitness=0.038173116
419.05 secs, 10405 evals, 10276 steps, improv/step: 0.150 (last = 0.0000), fitness=0.038173116
419.57 secs, 10417 evals, 10288 steps, improv/step: 0.150 (last = 0.0833), fitness=0.038173116
420.09 secs, 10430 evals, 10301 steps, improv/step: 0.150 (last = 0.0769), fitness=0.038173116
420.60 secs, 10443 evals, 10314 steps, improv/step: 0.150 (last = 0.1538), fitness=0.038173116
421.11 secs, 10456 evals, 10327 steps, improv/step: 0.150 (last = 0.0769), fitness=0.038173116
421.65 secs, 10469 evals, 10340 steps, improv/step: 0.150 (last = 0.0000), fitness=0.038173116
422.17 secs, 10482 evals, 10353 steps, improv/step: 0.149 (last = 0.0000), fitness=0.038173116
422.69 secs, 10495 evals, 10366 steps, improv/step: 0.149 (last = 0.0000), fitness=0.038173116
423.21 secs, 10508 evals, 10379 steps, improv/step: 0.149 (last = 0.0000), fitness=0.038173116
423.72 secs, 10521 evals, 10392 steps, improv/step: 0.149 (last = 0.0769), fitness=0.038173116
424.22 secs, 10533 evals, 10404 steps, improv/step: 0.149 (last = 0.0000), fitness=0.038173116
424.75 secs, 10546 evals, 10417 steps, improv/step: 0.149 (last = 0.0769), fitness=0.038173116
425.27 secs, 10559 evals, 10430 steps, improv/step: 0.149 (last = 0.0769), fitness=0.038173116
425.79 secs, 10572 evals, 10443 steps, improv/step: 0.149 (last = 0.1538), fitness=0.038173116
426.30 secs, 10585 evals, 10456 steps, improv/step: 0.149 (last = 0.1538), fitness=0.038173116
426.84 secs, 10598 evals, 10469 steps, improv/step: 0.148 (last = 0.0000), fitness=0.038173116
427.35 secs, 10610 evals, 10481 steps, improv/step: 0.148 (last = 0.0833), fitness=0.038173116
427.86 secs, 10622 evals, 10493 steps, improv/step: 0.148 (last = 0.0833), fitness=0.038173116
428.38 secs, 10635 evals, 10506 steps, improv/step: 0.148 (last = 0.1538), fitness=0.038173116
428.90 secs, 10648 evals, 10519 steps, improv/step: 0.148 (last = 0.1538), fitness=0.038173116
429.44 secs, 10661 evals, 10532 steps, improv/step: 0.148 (last = 0.0000), fitness=0.038173116
429.94 secs, 10673 evals, 10544 steps, improv/step: 0.148 (last = 0.0000), fitness=0.038173116
430.46 secs, 10685 evals, 10556 steps, improv/step: 0.148 (last = 0.0833), fitness=0.038173116
430.98 secs, 10698 evals, 10569 steps, improv/step: 0.148 (last = 0.0000), fitness=0.038173116
431.50 secs, 10710 evals, 10581 steps, improv/step: 0.148 (last = 0.0000), fitness=0.038173116
432.01 secs, 10722 evals, 10593 steps, improv/step: 0.147 (last = 0.0833), fitness=0.038173116
432.54 secs, 10734 evals, 10605 steps, improv/step: 0.147 (last = 0.0000), fitness=0.038173116
433.08 secs, 10747 evals, 10618 steps, improv/step: 0.147 (last = 0.0769), fitness=0.038173116
433.61 secs, 10760 evals, 10631 steps, improv/step: 0.147 (last = 0.0000), fitness=0.038173116
434.14 secs, 10772 evals, 10643 steps, improv/step: 0.147 (last = 0.0000), fitness=0.038173116
434.64 secs, 10784 evals, 10655 steps, improv/step: 0.147 (last = 0.0000), fitness=0.038173116
435.16 secs, 10797 evals, 10668 steps, improv/step: 0.147 (last = 0.0000), fitness=0.038173116
435.69 secs, 10811 evals, 10682 steps, improv/step: 0.146 (last = 0.0000), fitness=0.038173116
436.22 secs, 10824 evals, 10695 steps, improv/step: 0.146 (last = 0.0769), fitness=0.038173116
436.73 secs, 10837 evals, 10708 steps, improv/step: 0.146 (last = 0.0000), fitness=0.038173116
437.25 secs, 10851 evals, 10722 steps, improv/step: 0.146 (last = 0.0000), fitness=0.038173116
437.78 secs, 10864 evals, 10735 steps, improv/step: 0.146 (last = 0.0769), fitness=0.038173116
438.30 secs, 10876 evals, 10747 steps, improv/step: 0.146 (last = 0.0833), fitness=0.038173116
438.83 secs, 10888 evals, 10759 steps, improv/step: 0.146 (last = 0.0833), fitness=0.038173116
439.36 secs, 10901 evals, 10772 steps, improv/step: 0.145 (last = 0.0000), fitness=0.038173116
439.87 secs, 10913 evals, 10784 steps, improv/step: 0.145 (last = 0.0000), fitness=0.038173116
440.39 secs, 10925 evals, 10796 steps, improv/step: 0.145 (last = 0.0000), fitness=0.038173116
440.92 secs, 10938 evals, 10809 steps, improv/step: 0.145 (last = 0.0000), fitness=0.038173116
441.43 secs, 10950 evals, 10821 steps, improv/step: 0.145 (last = 0.0000), fitness=0.038173116
441.94 secs, 10962 evals, 10833 steps, improv/step: 0.145 (last = 0.0833), fitness=0.038173116
442.44 secs, 10974 evals, 10845 steps, improv/step: 0.145 (last = 0.0000), fitness=0.038173116
442.95 secs, 10986 evals, 10857 steps, improv/step: 0.145 (last = 0.1667), fitness=0.038173116
443.46 secs, 10998 evals, 10869 steps, improv/step: 0.145 (last = 0.0833), fitness=0.038173116
443.96 secs, 11011 evals, 10882 steps, improv/step: 0.145 (last = 0.1538), fitness=0.038173116
444.47 secs, 11024 evals, 10895 steps, improv/step: 0.144 (last = 0.0769), fitness=0.038173116
445.00 secs, 11037 evals, 10908 steps, improv/step: 0.144 (last = 0.0000), fitness=0.038173116
445.51 secs, 11049 evals, 10920 steps, improv/step: 0.144 (last = 0.0833), fitness=0.038173116
446.04 secs, 11062 evals, 10933 steps, improv/step: 0.144 (last = 0.0000), fitness=0.038173116
446.54 secs, 11074 evals, 10945 steps, improv/step: 0.144 (last = 0.0000), fitness=0.038173116
447.05 secs, 11086 evals, 10957 steps, improv/step: 0.144 (last = 0.0000), fitness=0.038173116
447.56 secs, 11098 evals, 10969 steps, improv/step: 0.144 (last = 0.0833), fitness=0.038173116
448.08 secs, 11111 evals, 10982 steps, improv/step: 0.144 (last = 0.0000), fitness=0.038173116
448.60 secs, 11124 evals, 10995 steps, improv/step: 0.143 (last = 0.0769), fitness=0.038173116

Optimization stopped after 11001 steps and 448.86 seconds
Termination reason: Max number of steps (11000) reached
Steps per second = 24.51
Function evals per second = 24.80
Improvements/step = 0.14336
Total function evaluations = 11130


Best candidate found: [1.49982, 3.00112]

Fitness: 0.038173116

┌ Warning: `Base.getindex(A::AbstractDiffEqArray, i::Int)` is deprecated, use `Base.getindex(A, :, i)` instead.
│   caller = (::L2Loss{Vector{Float64}, Matrix{Float64}, Int64, Nothing, Nothing})(sol::ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, Nothing, ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, var"##246"{var"###ParameterizedDiffEqFunction#248", var"###ParameterizedTGradFunction#249", var"###ParameterizedJacobianFunction#250", Nothing, Nothing, ODESystem}, Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}, SciMLBase.StandardODEProblem}, Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{var"##246"{var"###ParameterizedDiffEqFunction#248", var"###ParameterizedTGradFunction#249", var"###ParameterizedJacobianFunction#250", Nothing, Nothing, ODESystem}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, Nothing, OrdinaryDiffEqTsit5.Tsit5Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}) at cost_functions.jl:85
└ @ DiffEqParamEstim ~/.julia/packages/DiffEqParamEstim/6z5Ou/src/cost_functions.jl:85
┌ Warning: `Base.getindex(A::AbstractDiffEqArray, i::Int)` is deprecated, use `Base.getindex(A, :, i)` instead.
│   caller = (::L2Loss{Vector{Float64}, Matrix{Float64}, Int64, Nothing, Nothing})(sol::ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, Nothing, ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, var"##246"{var"###ParameterizedDiffEqFunction#248", var"###ParameterizedTGradFunction#249", var"###ParameterizedJacobianFunction#250", Nothing, Nothing, ODESystem}, Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}, SciMLBase.StandardODEProblem}, Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{var"##246"{var"###ParameterizedDiffEqFunction#248", var"###ParameterizedTGradFunction#249", var"###ParameterizedJacobianFunction#250", Nothing, Nothing, ODESystem}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, Nothing, OrdinaryDiffEqTsit5.Tsit5Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}) at cost_functions.jl:89
└ @ DiffEqParamEstim ~/.julia/packages/DiffEqParamEstim/6z5Ou/src/cost_functions.jl:89
Starting optimization with optimizer DiffEvoOpt{FitPopulation{Float64}, RadiusLimitedSelector, BlackBoxOptim.AdaptiveDiffEvoRandBin{3}, RandomBound{ContinuousRectSearchSpace}}
0.00 secs, 0 evals, 0 steps
0.51 secs, 6 evals, 3 steps, improv/step: 0.333 (last = 0.3333), fitness=7207.687481732
1.06 secs, 12 evals, 6 steps, improv/step: 0.667 (last = 1.0000), fitness=1291.066675493
1.70 secs, 19 evals, 10 steps, improv/step: 0.600 (last = 0.5000), fitness=1291.066675493
2.21 secs, 25 evals, 13 steps, improv/step: 0.615 (last = 0.6667), fitness=633.724499135
2.74 secs, 31 evals, 17 steps, improv/step: 0.471 (last = 0.0000), fitness=58.692028189
3.34 secs, 38 evals, 21 steps, improv/step: 0.524 (last = 0.7500), fitness=58.692028189
3.96 secs, 45 evals, 25 steps, improv/step: 0.440 (last = 0.0000), fitness=58.692028189
4.48 secs, 51 evals, 28 steps, improv/step: 0.429 (last = 0.3333), fitness=58.692028189
4.99 secs, 57 evals, 31 steps, improv/step: 0.452 (last = 0.6667), fitness=58.692028189
5.50 secs, 63 evals, 35 steps, improv/step: 0.486 (last = 0.7500), fitness=58.692028189
6.02 secs, 69 evals, 38 steps, improv/step: 0.526 (last = 1.0000), fitness=58.692028189
6.69 secs, 77 evals, 42 steps, improv/step: 0.524 (last = 0.5000), fitness=58.692028189
7.20 secs, 83 evals, 46 steps, improv/step: 0.500 (last = 0.2500), fitness=58.692028189
7.70 secs, 89 evals, 50 steps, improv/step: 0.520 (last = 0.7500), fitness=58.692028189
8.21 secs, 95 evals, 54 steps, improv/step: 0.500 (last = 0.2500), fitness=58.692028189
8.80 secs, 102 evals, 60 steps, improv/step: 0.500 (last = 0.5000), fitness=58.692028189
9.31 secs, 108 evals, 64 steps, improv/step: 0.516 (last = 0.7500), fitness=58.692028189
9.83 secs, 114 evals, 67 steps, improv/step: 0.507 (last = 0.3333), fitness=58.692028189
10.43 secs, 121 evals, 72 steps, improv/step: 0.500 (last = 0.4000), fitness=58.692028189
10.95 secs, 127 evals, 77 steps, improv/step: 0.494 (last = 0.4000), fitness=58.692028189
11.47 secs, 133 evals, 81 steps, improv/step: 0.481 (last = 0.2500), fitness=58.692028189
11.97 secs, 139 evals, 85 steps, improv/step: 0.459 (last = 0.0000), fitness=58.692028189
12.49 secs, 145 evals, 90 steps, improv/step: 0.456 (last = 0.4000), fitness=58.692028189
13.08 secs, 152 evals, 96 steps, improv/step: 0.448 (last = 0.3333), fitness=58.692028189
13.68 secs, 159 evals, 100 steps, improv/step: 0.450 (last = 0.5000), fitness=58.692028189
14.19 secs, 165 evals, 103 steps, improv/step: 0.437 (last = 0.0000), fitness=58.692028189
14.81 secs, 172 evals, 108 steps, improv/step: 0.435 (last = 0.4000), fitness=58.692028189
15.42 secs, 179 evals, 112 steps, improv/step: 0.446 (last = 0.7500), fitness=58.692028189
15.98 secs, 186 evals, 117 steps, improv/step: 0.453 (last = 0.6000), fitness=58.692028189
16.54 secs, 193 evals, 121 steps, improv/step: 0.446 (last = 0.2500), fitness=58.692028189
17.11 secs, 200 evals, 125 steps, improv/step: 0.456 (last = 0.7500), fitness=58.692028189
17.71 secs, 207 evals, 130 steps, improv/step: 0.446 (last = 0.2000), fitness=58.692028189
18.30 secs, 214 evals, 134 steps, improv/step: 0.440 (last = 0.2500), fitness=58.692028189
18.88 secs, 221 evals, 141 steps, improv/step: 0.426 (last = 0.1429), fitness=58.692028189
19.46 secs, 228 evals, 147 steps, improv/step: 0.429 (last = 0.5000), fitness=58.692028189
20.03 secs, 235 evals, 152 steps, improv/step: 0.434 (last = 0.6000), fitness=58.692028189
20.66 secs, 243 evals, 158 steps, improv/step: 0.424 (last = 0.1667), fitness=58.692028189
21.31 secs, 251 evals, 164 steps, improv/step: 0.421 (last = 0.3333), fitness=58.692028189
21.82 secs, 257 evals, 169 steps, improv/step: 0.414 (last = 0.2000), fitness=58.692028189
22.40 secs, 264 evals, 174 steps, improv/step: 0.408 (last = 0.2000), fitness=58.692028189
23.00 secs, 271 evals, 180 steps, improv/step: 0.422 (last = 0.8333), fitness=58.692028189
23.59 secs, 278 evals, 186 steps, improv/step: 0.419 (last = 0.3333), fitness=58.692028189
24.16 secs, 285 evals, 193 steps, improv/step: 0.404 (last = 0.0000), fitness=58.692028189
24.66 secs, 291 evals, 198 steps, improv/step: 0.394 (last = 0.0000), fitness=58.692028189
25.23 secs, 298 evals, 205 steps, improv/step: 0.395 (last = 0.4286), fitness=58.692028189
25.75 secs, 304 evals, 210 steps, improv/step: 0.390 (last = 0.2000), fitness=58.692028189
26.25 secs, 310 evals, 215 steps, improv/step: 0.395 (last = 0.6000), fitness=58.692028189
26.78 secs, 316 evals, 220 steps, improv/step: 0.386 (last = 0.0000), fitness=58.692028189
27.37 secs, 323 evals, 227 steps, improv/step: 0.392 (last = 0.5714), fitness=58.692028189
27.89 secs, 329 evals, 233 steps, improv/step: 0.386 (last = 0.1667), fitness=58.692028189
28.39 secs, 335 evals, 238 steps, improv/step: 0.382 (last = 0.2000), fitness=58.692028189
28.90 secs, 341 evals, 244 steps, improv/step: 0.377 (last = 0.1667), fitness=58.692028189
29.51 secs, 348 evals, 249 steps, improv/step: 0.378 (last = 0.4000), fitness=58.692028189
30.02 secs, 354 evals, 254 steps, improv/step: 0.374 (last = 0.2000), fitness=58.692028189
30.62 secs, 361 evals, 259 steps, improv/step: 0.375 (last = 0.4000), fitness=58.692028189
31.12 secs, 367 evals, 264 steps, improv/step: 0.371 (last = 0.2000), fitness=42.568320220
31.63 secs, 373 evals, 268 steps, improv/step: 0.373 (last = 0.5000), fitness=42.568320220
32.14 secs, 379 evals, 274 steps, improv/step: 0.376 (last = 0.5000), fitness=42.568320220
32.65 secs, 385 evals, 278 steps, improv/step: 0.378 (last = 0.5000), fitness=42.568320220
33.16 secs, 391 evals, 283 steps, improv/step: 0.378 (last = 0.4000), fitness=42.568320220
33.66 secs, 397 evals, 288 steps, improv/step: 0.382 (last = 0.6000), fitness=42.568320220
34.25 secs, 404 evals, 295 steps, improv/step: 0.380 (last = 0.2857), fitness=42.568320220
34.84 secs, 411 evals, 300 steps, improv/step: 0.373 (last = 0.0000), fitness=42.568320220
35.36 secs, 417 evals, 306 steps, improv/step: 0.373 (last = 0.3333), fitness=42.568320220
35.87 secs, 423 evals, 312 steps, improv/step: 0.372 (last = 0.3333), fitness=42.568320220
36.44 secs, 430 evals, 319 steps, improv/step: 0.364 (last = 0.0000), fitness=42.568320220
37.00 secs, 437 evals, 325 steps, improv/step: 0.363 (last = 0.3333), fitness=42.568320220
37.58 secs, 444 evals, 331 steps, improv/step: 0.363 (last = 0.3333), fitness=42.568320220
38.08 secs, 450 evals, 337 steps, improv/step: 0.359 (last = 0.1667), fitness=42.568320220
38.65 secs, 457 evals, 343 steps, improv/step: 0.356 (last = 0.1667), fitness=42.568320220
39.25 secs, 464 evals, 349 steps, improv/step: 0.350 (last = 0.0000), fitness=42.568320220
39.81 secs, 471 evals, 356 steps, improv/step: 0.343 (last = 0.0000), fitness=42.568320220
40.32 secs, 477 evals, 362 steps, improv/step: 0.343 (last = 0.3333), fitness=42.568320220
40.82 secs, 483 evals, 368 steps, improv/step: 0.340 (last = 0.1667), fitness=42.568320220
41.40 secs, 490 evals, 374 steps, improv/step: 0.340 (last = 0.3333), fitness=42.568320220
41.92 secs, 496 evals, 380 steps, improv/step: 0.337 (last = 0.1667), fitness=42.568320220
42.43 secs, 502 evals, 386 steps, improv/step: 0.334 (last = 0.1667), fitness=42.568320220
42.95 secs, 508 evals, 391 steps, improv/step: 0.332 (last = 0.2000), fitness=42.568320220
43.46 secs, 514 evals, 397 steps, improv/step: 0.327 (last = 0.0000), fitness=42.568320220
43.97 secs, 520 evals, 402 steps, improv/step: 0.323 (last = 0.0000), fitness=42.568320220
44.49 secs, 526 evals, 407 steps, improv/step: 0.319 (last = 0.0000), fitness=42.568320220
45.06 secs, 533 evals, 413 steps, improv/step: 0.320 (last = 0.3333), fitness=42.568320220
45.58 secs, 539 evals, 419 steps, improv/step: 0.320 (last = 0.3333), fitness=42.568320220
46.13 secs, 546 evals, 426 steps, improv/step: 0.315 (last = 0.0000), fitness=42.568320220
46.64 secs, 552 evals, 432 steps, improv/step: 0.317 (last = 0.5000), fitness=42.568320220
47.15 secs, 558 evals, 438 steps, improv/step: 0.315 (last = 0.1667), fitness=42.568320220
47.67 secs, 564 evals, 443 steps, improv/step: 0.312 (last = 0.0000), fitness=42.568320220
48.18 secs, 570 evals, 449 steps, improv/step: 0.310 (last = 0.1667), fitness=42.568320220
48.69 secs, 576 evals, 455 steps, improv/step: 0.310 (last = 0.3333), fitness=42.568320220
49.21 secs, 582 evals, 461 steps, improv/step: 0.308 (last = 0.1667), fitness=42.568320220
49.71 secs, 588 evals, 467 steps, improv/step: 0.308 (last = 0.3333), fitness=42.568320220
50.23 secs, 594 evals, 472 steps, improv/step: 0.307 (last = 0.2000), fitness=42.568320220
50.74 secs, 600 evals, 478 steps, improv/step: 0.303 (last = 0.0000), fitness=42.568320220
51.28 secs, 606 evals, 483 steps, improv/step: 0.304 (last = 0.4000), fitness=42.568320220
51.79 secs, 612 evals, 489 steps, improv/step: 0.307 (last = 0.5000), fitness=42.568320220
52.30 secs, 618 evals, 495 steps, improv/step: 0.305 (last = 0.1667), fitness=42.568320220
52.81 secs, 624 evals, 501 steps, improv/step: 0.305 (last = 0.3333), fitness=42.568320220
53.32 secs, 630 evals, 507 steps, improv/step: 0.302 (last = 0.0000), fitness=42.568320220
53.82 secs, 636 evals, 513 steps, improv/step: 0.302 (last = 0.3333), fitness=42.568320220
54.33 secs, 642 evals, 519 steps, improv/step: 0.299 (last = 0.0000), fitness=42.568320220
54.84 secs, 648 evals, 525 steps, improv/step: 0.299 (last = 0.3333), fitness=42.568320220
55.36 secs, 654 evals, 531 steps, improv/step: 0.298 (last = 0.1667), fitness=42.568320220
55.95 secs, 661 evals, 537 steps, improv/step: 0.294 (last = 0.0000), fitness=42.568320220
56.46 secs, 667 evals, 543 steps, improv/step: 0.293 (last = 0.1667), fitness=42.568320220
56.98 secs, 673 evals, 548 steps, improv/step: 0.290 (last = 0.0000), fitness=42.568320220
57.55 secs, 680 evals, 554 steps, improv/step: 0.291 (last = 0.3333), fitness=42.568320220
58.07 secs, 686 evals, 560 steps, improv/step: 0.289 (last = 0.1667), fitness=42.568320220
58.67 secs, 693 evals, 565 steps, improv/step: 0.287 (last = 0.0000), fitness=42.568320220
59.20 secs, 699 evals, 571 steps, improv/step: 0.287 (last = 0.3333), fitness=42.568320220
59.72 secs, 705 evals, 577 steps, improv/step: 0.286 (last = 0.1667), fitness=42.568320220
60.23 secs, 711 evals, 583 steps, improv/step: 0.285 (last = 0.1667), fitness=42.568320220
60.75 secs, 717 evals, 588 steps, improv/step: 0.282 (last = 0.0000), fitness=42.568320220
61.26 secs, 723 evals, 594 steps, improv/step: 0.283 (last = 0.3333), fitness=42.568320220
61.78 secs, 729 evals, 600 steps, improv/step: 0.282 (last = 0.1667), fitness=42.568320220
62.29 secs, 735 evals, 606 steps, improv/step: 0.281 (last = 0.1667), fitness=42.568320220
62.81 secs, 741 evals, 612 steps, improv/step: 0.283 (last = 0.5000), fitness=42.568320220
63.33 secs, 747 evals, 618 steps, improv/step: 0.282 (last = 0.1667), fitness=42.568320220
63.85 secs, 753 evals, 624 steps, improv/step: 0.280 (last = 0.1667), fitness=42.568320220
64.35 secs, 759 evals, 629 steps, improv/step: 0.281 (last = 0.4000), fitness=42.568320220
64.93 secs, 766 evals, 636 steps, improv/step: 0.280 (last = 0.1429), fitness=42.568320220
65.43 secs, 772 evals, 642 steps, improv/step: 0.282 (last = 0.5000), fitness=28.787869779
65.94 secs, 778 evals, 647 steps, improv/step: 0.280 (last = 0.0000), fitness=28.787869779
66.46 secs, 784 evals, 652 steps, improv/step: 0.278 (last = 0.0000), fitness=28.787869779
66.97 secs, 790 evals, 658 steps, improv/step: 0.278 (last = 0.3333), fitness=28.787869779
67.48 secs, 796 evals, 664 steps, improv/step: 0.276 (last = 0.0000), fitness=28.787869779
67.98 secs, 802 evals, 670 steps, improv/step: 0.275 (last = 0.1667), fitness=28.787869779
68.49 secs, 808 evals, 676 steps, improv/step: 0.272 (last = 0.0000), fitness=28.787869779
69.00 secs, 814 evals, 682 steps, improv/step: 0.270 (last = 0.0000), fitness=28.787869779
69.50 secs, 820 evals, 688 steps, improv/step: 0.270 (last = 0.3333), fitness=28.787869779
70.00 secs, 826 evals, 694 steps, improv/step: 0.268 (last = 0.0000), fitness=28.787869779
70.52 secs, 832 evals, 700 steps, improv/step: 0.269 (last = 0.3333), fitness=28.787869779
71.03 secs, 838 evals, 706 steps, improv/step: 0.269 (last = 0.3333), fitness=28.787869779
71.54 secs, 844 evals, 712 steps, improv/step: 0.267 (last = 0.0000), fitness=28.787869779
72.05 secs, 850 evals, 718 steps, improv/step: 0.266 (last = 0.1667), fitness=28.787869779
72.56 secs, 856 evals, 724 steps, improv/step: 0.265 (last = 0.1667), fitness=28.787869779
73.08 secs, 862 evals, 729 steps, improv/step: 0.266 (last = 0.4000), fitness=28.787869779
73.58 secs, 868 evals, 735 steps, improv/step: 0.264 (last = 0.0000), fitness=28.787869779
74.11 secs, 874 evals, 741 steps, improv/step: 0.262 (last = 0.0000), fitness=28.787869779
74.62 secs, 880 evals, 747 steps, improv/step: 0.260 (last = 0.0000), fitness=28.787869779
75.14 secs, 886 evals, 753 steps, improv/step: 0.259 (last = 0.1667), fitness=28.787869779
75.72 secs, 893 evals, 760 steps, improv/step: 0.258 (last = 0.1429), fitness=28.787869779
76.24 secs, 899 evals, 766 steps, improv/step: 0.256 (last = 0.0000), fitness=28.787869779
76.75 secs, 905 evals, 772 steps, improv/step: 0.255 (last = 0.1667), fitness=28.787869779
77.26 secs, 911 evals, 778 steps, improv/step: 0.253 (last = 0.0000), fitness=28.787869779
77.77 secs, 917 evals, 784 steps, improv/step: 0.253 (last = 0.1667), fitness=28.787869779
78.29 secs, 923 evals, 789 steps, improv/step: 0.255 (last = 0.6000), fitness=28.787869779
78.81 secs, 929 evals, 795 steps, improv/step: 0.255 (last = 0.3333), fitness=27.984771536
79.32 secs, 935 evals, 801 steps, improv/step: 0.255 (last = 0.1667), fitness=27.984771536
79.83 secs, 941 evals, 807 steps, improv/step: 0.254 (last = 0.1667), fitness=27.984771536
80.34 secs, 947 evals, 813 steps, improv/step: 0.255 (last = 0.3333), fitness=27.984771536
80.86 secs, 953 evals, 819 steps, improv/step: 0.254 (last = 0.1667), fitness=27.984771536
81.44 secs, 960 evals, 826 steps, improv/step: 0.254 (last = 0.2857), fitness=27.984771536
81.95 secs, 966 evals, 832 steps, improv/step: 0.257 (last = 0.6667), fitness=27.984771536
82.45 secs, 972 evals, 838 steps, improv/step: 0.257 (last = 0.1667), fitness=27.984771536
82.96 secs, 978 evals, 844 steps, improv/step: 0.255 (last = 0.0000), fitness=27.984771536
83.47 secs, 984 evals, 850 steps, improv/step: 0.253 (last = 0.0000), fitness=27.984771536
83.97 secs, 990 evals, 856 steps, improv/step: 0.254 (last = 0.3333), fitness=27.984771536
84.56 secs, 997 evals, 863 steps, improv/step: 0.255 (last = 0.4286), fitness=27.984771536
85.06 secs, 1003 evals, 869 steps, improv/step: 0.255 (last = 0.3333), fitness=27.775966089
85.58 secs, 1009 evals, 875 steps, improv/step: 0.255 (last = 0.1667), fitness=27.775966089
86.09 secs, 1015 evals, 881 steps, improv/step: 0.253 (last = 0.0000), fitness=27.775966089
86.61 secs, 1021 evals, 887 steps, improv/step: 0.254 (last = 0.3333), fitness=27.775966089
87.12 secs, 1027 evals, 893 steps, improv/step: 0.252 (last = 0.0000), fitness=27.775966089
87.66 secs, 1033 evals, 899 steps, improv/step: 0.250 (last = 0.0000), fitness=27.775966089
88.16 secs, 1039 evals, 905 steps, improv/step: 0.251 (last = 0.3333), fitness=27.775966089
88.68 secs, 1045 evals, 911 steps, improv/step: 0.251 (last = 0.3333), fitness=27.775966089
89.19 secs, 1051 evals, 917 steps, improv/step: 0.251 (last = 0.1667), fitness=27.775966089
89.70 secs, 1057 evals, 923 steps, improv/step: 0.249 (last = 0.0000), fitness=27.775966089
90.21 secs, 1063 evals, 929 steps, improv/step: 0.248 (last = 0.0000), fitness=27.775966089
90.72 secs, 1069 evals, 935 steps, improv/step: 0.248 (last = 0.3333), fitness=27.775966089
91.24 secs, 1075 evals, 941 steps, improv/step: 0.249 (last = 0.3333), fitness=27.775966089
91.75 secs, 1081 evals, 947 steps, improv/step: 0.249 (last = 0.3333), fitness=27.775966089
92.27 secs, 1087 evals, 953 steps, improv/step: 0.250 (last = 0.3333), fitness=27.775966089
92.78 secs, 1093 evals, 959 steps, improv/step: 0.248 (last = 0.0000), fitness=27.775966089
93.30 secs, 1099 evals, 965 steps, improv/step: 0.248 (last = 0.1667), fitness=27.775966089
93.81 secs, 1105 evals, 971 steps, improv/step: 0.247 (last = 0.1667), fitness=27.775966089
94.32 secs, 1111 evals, 977 steps, improv/step: 0.247 (last = 0.1667), fitness=27.775966089
94.83 secs, 1117 evals, 983 steps, improv/step: 0.247 (last = 0.3333), fitness=27.775966089
95.35 secs, 1123 evals, 989 steps, improv/step: 0.247 (last = 0.1667), fitness=10.678703324
95.86 secs, 1129 evals, 995 steps, improv/step: 0.246 (last = 0.1667), fitness=10.678703324
96.37 secs, 1135 evals, 1001 steps, improv/step: 0.247 (last = 0.3333), fitness=10.678703324
96.87 secs, 1141 evals, 1007 steps, improv/step: 0.247 (last = 0.3333), fitness=10.678703324
97.38 secs, 1147 evals, 1013 steps, improv/step: 0.246 (last = 0.0000), fitness=10.678703324
97.89 secs, 1153 evals, 1019 steps, improv/step: 0.246 (last = 0.3333), fitness=10.678703324
98.40 secs, 1159 evals, 1025 steps, improv/step: 0.247 (last = 0.3333), fitness=10.678703324
98.93 secs, 1165 evals, 1031 steps, improv/step: 0.245 (last = 0.0000), fitness=10.678703324
99.44 secs, 1171 evals, 1037 steps, improv/step: 0.245 (last = 0.1667), fitness=10.678703324
99.95 secs, 1177 evals, 1043 steps, improv/step: 0.244 (last = 0.1667), fitness=10.678703324
100.45 secs, 1183 evals, 1049 steps, improv/step: 0.244 (last = 0.1667), fitness=10.678703324
100.97 secs, 1189 evals, 1055 steps, improv/step: 0.244 (last = 0.1667), fitness=10.678703324
101.47 secs, 1195 evals, 1061 steps, improv/step: 0.243 (last = 0.1667), fitness=10.678703324
101.99 secs, 1201 evals, 1067 steps, improv/step: 0.243 (last = 0.1667), fitness=10.678703324
102.49 secs, 1207 evals, 1073 steps, improv/step: 0.241 (last = 0.0000), fitness=10.678703324
103.00 secs, 1213 evals, 1079 steps, improv/step: 0.240 (last = 0.0000), fitness=10.678703324
103.51 secs, 1219 evals, 1085 steps, improv/step: 0.240 (last = 0.1667), fitness=10.678703324
104.03 secs, 1225 evals, 1091 steps, improv/step: 0.239 (last = 0.1667), fitness=10.678703324
104.54 secs, 1231 evals, 1097 steps, improv/step: 0.238 (last = 0.0000), fitness=10.678703324
105.06 secs, 1237 evals, 1103 steps, improv/step: 0.237 (last = 0.0000), fitness=10.678703324
105.58 secs, 1243 evals, 1109 steps, improv/step: 0.235 (last = 0.0000), fitness=10.678703324
106.08 secs, 1249 evals, 1115 steps, improv/step: 0.236 (last = 0.3333), fitness=10.678703324
106.59 secs, 1255 evals, 1121 steps, improv/step: 0.236 (last = 0.1667), fitness=10.678703324
107.11 secs, 1261 evals, 1127 steps, improv/step: 0.234 (last = 0.0000), fitness=10.678703324
107.69 secs, 1268 evals, 1134 steps, improv/step: 0.233 (last = 0.0000), fitness=10.678703324
108.25 secs, 1275 evals, 1141 steps, improv/step: 0.231 (last = 0.0000), fitness=10.678703324
108.78 secs, 1281 evals, 1147 steps, improv/step: 0.230 (last = 0.0000), fitness=10.678703324
109.28 secs, 1287 evals, 1153 steps, improv/step: 0.230 (last = 0.1667), fitness=10.678703324
109.80 secs, 1293 evals, 1159 steps, improv/step: 0.229 (last = 0.0000), fitness=10.678703324
110.38 secs, 1300 evals, 1166 steps, improv/step: 0.230 (last = 0.4286), fitness=10.678703324
110.95 secs, 1307 evals, 1173 steps, improv/step: 0.229 (last = 0.1429), fitness=10.678703324
111.53 secs, 1314 evals, 1180 steps, improv/step: 0.228 (last = 0.0000), fitness=10.678703324
112.04 secs, 1320 evals, 1186 steps, improv/step: 0.227 (last = 0.0000), fitness=10.678703324
112.56 secs, 1326 evals, 1192 steps, improv/step: 0.226 (last = 0.0000), fitness=10.678703324
113.06 secs, 1332 evals, 1198 steps, improv/step: 0.225 (last = 0.1667), fitness=10.678703324
113.58 secs, 1338 evals, 1204 steps, improv/step: 0.225 (last = 0.1667), fitness=10.678703324
114.10 secs, 1344 evals, 1210 steps, improv/step: 0.225 (last = 0.1667), fitness=10.678703324
114.60 secs, 1350 evals, 1216 steps, improv/step: 0.225 (last = 0.1667), fitness=10.678703324
115.11 secs, 1356 evals, 1222 steps, improv/step: 0.225 (last = 0.3333), fitness=10.678703324
115.63 secs, 1362 evals, 1228 steps, improv/step: 0.225 (last = 0.1667), fitness=10.678703324
116.14 secs, 1368 evals, 1234 steps, improv/step: 0.224 (last = 0.0000), fitness=10.678703324
116.71 secs, 1375 evals, 1241 steps, improv/step: 0.225 (last = 0.4286), fitness=7.565923614
117.27 secs, 1382 evals, 1248 steps, improv/step: 0.224 (last = 0.1429), fitness=7.565923614
117.83 secs, 1389 evals, 1255 steps, improv/step: 0.224 (last = 0.1429), fitness=7.565923614
118.38 secs, 1396 evals, 1262 steps, improv/step: 0.223 (last = 0.0000), fitness=7.565923614
118.93 secs, 1403 evals, 1269 steps, improv/step: 0.222 (last = 0.1429), fitness=7.565923614
119.50 secs, 1410 evals, 1276 steps, improv/step: 0.221 (last = 0.0000), fitness=7.565923614
120.00 secs, 1416 evals, 1282 steps, improv/step: 0.220 (last = 0.0000), fitness=7.565923614
120.50 secs, 1422 evals, 1288 steps, improv/step: 0.220 (last = 0.3333), fitness=7.565923614
121.02 secs, 1428 evals, 1294 steps, improv/step: 0.220 (last = 0.1667), fitness=7.565923614
121.53 secs, 1434 evals, 1300 steps, improv/step: 0.220 (last = 0.1667), fitness=7.565923614
122.04 secs, 1440 evals, 1306 steps, improv/step: 0.219 (last = 0.0000), fitness=7.565923614
122.55 secs, 1446 evals, 1312 steps, improv/step: 0.218 (last = 0.0000), fitness=7.565923614
123.11 secs, 1453 evals, 1319 steps, improv/step: 0.218 (last = 0.1429), fitness=7.565923614
123.62 secs, 1459 evals, 1325 steps, improv/step: 0.218 (last = 0.3333), fitness=7.565923614
124.12 secs, 1465 evals, 1331 steps, improv/step: 0.217 (last = 0.0000), fitness=7.565923614
124.63 secs, 1471 evals, 1337 steps, improv/step: 0.216 (last = 0.0000), fitness=7.565923614
125.20 secs, 1478 evals, 1344 steps, improv/step: 0.216 (last = 0.1429), fitness=7.565923614
125.72 secs, 1484 evals, 1350 steps, improv/step: 0.216 (last = 0.1667), fitness=7.565923614
126.23 secs, 1490 evals, 1356 steps, improv/step: 0.215 (last = 0.0000), fitness=7.565923614
126.81 secs, 1497 evals, 1363 steps, improv/step: 0.214 (last = 0.1429), fitness=7.565923614
127.38 secs, 1504 evals, 1370 steps, improv/step: 0.215 (last = 0.2857), fitness=7.565923614
127.89 secs, 1510 evals, 1376 steps, improv/step: 0.215 (last = 0.3333), fitness=7.565923614
128.40 secs, 1516 evals, 1382 steps, improv/step: 0.215 (last = 0.1667), fitness=7.565923614
128.91 secs, 1522 evals, 1388 steps, improv/step: 0.214 (last = 0.0000), fitness=7.565923614
129.42 secs, 1528 evals, 1394 steps, improv/step: 0.214 (last = 0.1667), fitness=7.565923614
130.00 secs, 1535 evals, 1401 steps, improv/step: 0.214 (last = 0.2857), fitness=7.565923614
130.51 secs, 1541 evals, 1407 steps, improv/step: 0.214 (last = 0.1667), fitness=7.565923614
131.02 secs, 1547 evals, 1413 steps, improv/step: 0.214 (last = 0.3333), fitness=7.565923614
131.57 secs, 1554 evals, 1420 steps, improv/step: 0.214 (last = 0.1429), fitness=7.565923614
132.09 secs, 1560 evals, 1426 steps, improv/step: 0.214 (last = 0.1667), fitness=7.565923614
132.60 secs, 1566 evals, 1432 steps, improv/step: 0.214 (last = 0.1667), fitness=7.565923614
133.12 secs, 1572 evals, 1438 steps, improv/step: 0.214 (last = 0.3333), fitness=7.565923614
133.62 secs, 1578 evals, 1444 steps, improv/step: 0.213 (last = 0.0000), fitness=7.565923614
134.14 secs, 1584 evals, 1450 steps, improv/step: 0.213 (last = 0.1667), fitness=7.565923614
134.65 secs, 1590 evals, 1456 steps, improv/step: 0.213 (last = 0.1667), fitness=7.565923614
135.16 secs, 1596 evals, 1462 steps, improv/step: 0.213 (last = 0.1667), fitness=7.565923614
135.66 secs, 1602 evals, 1468 steps, improv/step: 0.213 (last = 0.1667), fitness=7.565923614
136.23 secs, 1609 evals, 1475 steps, improv/step: 0.213 (last = 0.2857), fitness=7.565923614
136.79 secs, 1616 evals, 1482 steps, improv/step: 0.212 (last = 0.0000), fitness=7.565923614
137.37 secs, 1623 evals, 1489 steps, improv/step: 0.212 (last = 0.2857), fitness=7.565923614
137.87 secs, 1629 evals, 1495 steps, improv/step: 0.212 (last = 0.1667), fitness=7.565923614
138.44 secs, 1636 evals, 1502 steps, improv/step: 0.211 (last = 0.0000), fitness=7.565923614
138.99 secs, 1643 evals, 1509 steps, improv/step: 0.210 (last = 0.0000), fitness=7.565923614
139.55 secs, 1650 evals, 1516 steps, improv/step: 0.211 (last = 0.4286), fitness=7.565923614
140.12 secs, 1657 evals, 1523 steps, improv/step: 0.211 (last = 0.2857), fitness=7.565923614
140.70 secs, 1664 evals, 1530 steps, improv/step: 0.210 (last = 0.0000), fitness=7.565923614
141.28 secs, 1671 evals, 1537 steps, improv/step: 0.209 (last = 0.0000), fitness=7.565923614
141.78 secs, 1677 evals, 1543 steps, improv/step: 0.209 (last = 0.0000), fitness=7.565923614
142.30 secs, 1683 evals, 1549 steps, improv/step: 0.208 (last = 0.0000), fitness=7.565923614
142.81 secs, 1689 evals, 1555 steps, improv/step: 0.207 (last = 0.0000), fitness=7.565923614
143.33 secs, 1695 evals, 1561 steps, improv/step: 0.207 (last = 0.1667), fitness=7.565923614
143.84 secs, 1701 evals, 1567 steps, improv/step: 0.208 (last = 0.5000), fitness=7.565923614
144.36 secs, 1707 evals, 1573 steps, improv/step: 0.208 (last = 0.1667), fitness=7.565923614
144.87 secs, 1713 evals, 1579 steps, improv/step: 0.208 (last = 0.1667), fitness=7.565923614
145.39 secs, 1719 evals, 1585 steps, improv/step: 0.209 (last = 0.5000), fitness=7.565923614
145.91 secs, 1725 evals, 1591 steps, improv/step: 0.208 (last = 0.0000), fitness=7.565923614
146.43 secs, 1731 evals, 1597 steps, improv/step: 0.208 (last = 0.1667), fitness=7.565923614
146.95 secs, 1737 evals, 1603 steps, improv/step: 0.208 (last = 0.1667), fitness=7.565923614
147.47 secs, 1743 evals, 1609 steps, improv/step: 0.208 (last = 0.3333), fitness=7.565923614
147.98 secs, 1749 evals, 1615 steps, improv/step: 0.208 (last = 0.1667), fitness=7.565923614
148.49 secs, 1755 evals, 1621 steps, improv/step: 0.208 (last = 0.1667), fitness=7.565923614
149.02 secs, 1761 evals, 1627 steps, improv/step: 0.208 (last = 0.1667), fitness=7.565923614
149.53 secs, 1767 evals, 1633 steps, improv/step: 0.207 (last = 0.0000), fitness=7.565923614
150.04 secs, 1773 evals, 1639 steps, improv/step: 0.206 (last = 0.0000), fitness=7.565923614
150.54 secs, 1779 evals, 1645 steps, improv/step: 0.207 (last = 0.3333), fitness=7.565923614
151.05 secs, 1785 evals, 1651 steps, improv/step: 0.207 (last = 0.1667), fitness=7.565923614
151.55 secs, 1791 evals, 1657 steps, improv/step: 0.208 (last = 0.5000), fitness=7.565923614
152.06 secs, 1797 evals, 1663 steps, improv/step: 0.207 (last = 0.0000), fitness=7.565923614
152.56 secs, 1803 evals, 1669 steps, improv/step: 0.207 (last = 0.1667), fitness=7.565923614
153.07 secs, 1809 evals, 1675 steps, improv/step: 0.207 (last = 0.3333), fitness=6.000930797
153.58 secs, 1815 evals, 1681 steps, improv/step: 0.207 (last = 0.1667), fitness=6.000930797
154.09 secs, 1821 evals, 1687 steps, improv/step: 0.208 (last = 0.5000), fitness=6.000930797
154.61 secs, 1827 evals, 1693 steps, improv/step: 0.209 (last = 0.3333), fitness=6.000930797
155.11 secs, 1833 evals, 1699 steps, improv/step: 0.208 (last = 0.1667), fitness=6.000930797
155.62 secs, 1839 evals, 1705 steps, improv/step: 0.208 (last = 0.0000), fitness=6.000930797
156.13 secs, 1845 evals, 1711 steps, improv/step: 0.207 (last = 0.0000), fitness=6.000930797
156.64 secs, 1851 evals, 1717 steps, improv/step: 0.206 (last = 0.0000), fitness=6.000930797
157.15 secs, 1857 evals, 1723 steps, improv/step: 0.205 (last = 0.0000), fitness=6.000930797
157.67 secs, 1863 evals, 1729 steps, improv/step: 0.205 (last = 0.1667), fitness=6.000930797
158.17 secs, 1869 evals, 1735 steps, improv/step: 0.205 (last = 0.1667), fitness=6.000930797
158.69 secs, 1875 evals, 1741 steps, improv/step: 0.205 (last = 0.1667), fitness=6.000930797
159.20 secs, 1881 evals, 1747 steps, improv/step: 0.205 (last = 0.1667), fitness=6.000930797
159.72 secs, 1887 evals, 1753 steps, improv/step: 0.205 (last = 0.1667), fitness=6.000930797
160.22 secs, 1893 evals, 1759 steps, improv/step: 0.204 (last = 0.0000), fitness=6.000930797
160.79 secs, 1900 evals, 1766 steps, improv/step: 0.204 (last = 0.2857), fitness=6.000930797
161.30 secs, 1906 evals, 1772 steps, improv/step: 0.206 (last = 0.6667), fitness=6.000930797
161.80 secs, 1912 evals, 1778 steps, improv/step: 0.206 (last = 0.3333), fitness=6.000930797
162.31 secs, 1918 evals, 1784 steps, improv/step: 0.206 (last = 0.1667), fitness=6.000930797
162.89 secs, 1925 evals, 1791 steps, improv/step: 0.207 (last = 0.2857), fitness=6.000930797
163.40 secs, 1931 evals, 1797 steps, improv/step: 0.206 (last = 0.0000), fitness=6.000930797
163.91 secs, 1937 evals, 1803 steps, improv/step: 0.205 (last = 0.0000), fitness=6.000930797
164.42 secs, 1943 evals, 1809 steps, improv/step: 0.206 (last = 0.5000), fitness=4.261277885
164.92 secs, 1949 evals, 1815 steps, improv/step: 0.206 (last = 0.0000), fitness=4.261277885
165.44 secs, 1955 evals, 1821 steps, improv/step: 0.205 (last = 0.0000), fitness=4.261277885
165.96 secs, 1961 evals, 1827 steps, improv/step: 0.205 (last = 0.3333), fitness=4.261277885
166.47 secs, 1967 evals, 1833 steps, improv/step: 0.206 (last = 0.5000), fitness=3.105151586
166.99 secs, 1973 evals, 1839 steps, improv/step: 0.206 (last = 0.0000), fitness=3.105151586
167.50 secs, 1979 evals, 1845 steps, improv/step: 0.205 (last = 0.0000), fitness=3.105151586
168.02 secs, 1985 evals, 1851 steps, improv/step: 0.205 (last = 0.1667), fitness=3.105151586
168.52 secs, 1991 evals, 1857 steps, improv/step: 0.205 (last = 0.1667), fitness=2.707265442
169.05 secs, 1997 evals, 1863 steps, improv/step: 0.205 (last = 0.1667), fitness=2.707265442
169.55 secs, 2003 evals, 1869 steps, improv/step: 0.204 (last = 0.1667), fitness=2.707265442
170.07 secs, 2009 evals, 1875 steps, improv/step: 0.204 (last = 0.1667), fitness=2.707265442
170.58 secs, 2015 evals, 1882 steps, improv/step: 0.204 (last = 0.0000), fitness=2.707265442
171.10 secs, 2021 evals, 1888 steps, improv/step: 0.203 (last = 0.0000), fitness=2.707265442
171.61 secs, 2027 evals, 1894 steps, improv/step: 0.203 (last = 0.3333), fitness=2.707265442
172.13 secs, 2033 evals, 1900 steps, improv/step: 0.204 (last = 0.3333), fitness=2.707265442
172.64 secs, 2039 evals, 1906 steps, improv/step: 0.204 (last = 0.3333), fitness=2.707265442
173.15 secs, 2045 evals, 1912 steps, improv/step: 0.204 (last = 0.1667), fitness=2.707265442
173.66 secs, 2051 evals, 1919 steps, improv/step: 0.204 (last = 0.1429), fitness=2.707265442
174.24 secs, 2058 evals, 1926 steps, improv/step: 0.203 (last = 0.0000), fitness=2.707265442
174.74 secs, 2064 evals, 1932 steps, improv/step: 0.203 (last = 0.1667), fitness=2.707265442
175.25 secs, 2070 evals, 1938 steps, improv/step: 0.203 (last = 0.1667), fitness=2.707265442
175.75 secs, 2076 evals, 1944 steps, improv/step: 0.204 (last = 0.6667), fitness=2.707265442
176.34 secs, 2083 evals, 1951 steps, improv/step: 0.204 (last = 0.1429), fitness=2.707265442
176.85 secs, 2089 evals, 1957 steps, improv/step: 0.204 (last = 0.1667), fitness=2.707265442
177.35 secs, 2095 evals, 1963 steps, improv/step: 0.204 (last = 0.1667), fitness=2.707265442
177.86 secs, 2101 evals, 1969 steps, improv/step: 0.203 (last = 0.0000), fitness=2.707265442
178.38 secs, 2107 evals, 1975 steps, improv/step: 0.203 (last = 0.1667), fitness=2.707265442
178.94 secs, 2114 evals, 1982 steps, improv/step: 0.203 (last = 0.1429), fitness=2.707265442
179.46 secs, 2120 evals, 1988 steps, improv/step: 0.203 (last = 0.3333), fitness=2.707265442
179.96 secs, 2126 evals, 1994 steps, improv/step: 0.203 (last = 0.1667), fitness=2.707265442
180.48 secs, 2132 evals, 2000 steps, improv/step: 0.203 (last = 0.0000), fitness=2.707265442
180.99 secs, 2138 evals, 2006 steps, improv/step: 0.202 (last = 0.0000), fitness=2.707265442
181.51 secs, 2144 evals, 2012 steps, improv/step: 0.202 (last = 0.3333), fitness=2.655447071
182.02 secs, 2150 evals, 2018 steps, improv/step: 0.202 (last = 0.0000), fitness=2.655447071
182.54 secs, 2156 evals, 2024 steps, improv/step: 0.202 (last = 0.1667), fitness=2.655447071
183.05 secs, 2162 evals, 2030 steps, improv/step: 0.201 (last = 0.1667), fitness=2.655447071
183.57 secs, 2168 evals, 2036 steps, improv/step: 0.201 (last = 0.1667), fitness=2.655447071
184.09 secs, 2174 evals, 2042 steps, improv/step: 0.201 (last = 0.0000), fitness=2.655447071
184.60 secs, 2180 evals, 2048 steps, improv/step: 0.201 (last = 0.3333), fitness=2.655447071
185.13 secs, 2186 evals, 2054 steps, improv/step: 0.202 (last = 0.3333), fitness=2.655447071
185.63 secs, 2192 evals, 2060 steps, improv/step: 0.201 (last = 0.0000), fitness=2.655447071
186.14 secs, 2198 evals, 2066 steps, improv/step: 0.202 (last = 0.5000), fitness=2.655447071
186.65 secs, 2204 evals, 2072 steps, improv/step: 0.202 (last = 0.3333), fitness=2.655447071
187.23 secs, 2211 evals, 2079 steps, improv/step: 0.202 (last = 0.0000), fitness=2.655447071
187.74 secs, 2217 evals, 2085 steps, improv/step: 0.201 (last = 0.1667), fitness=2.655447071
188.25 secs, 2223 evals, 2091 steps, improv/step: 0.202 (last = 0.3333), fitness=2.655447071
188.76 secs, 2229 evals, 2097 steps, improv/step: 0.201 (last = 0.0000), fitness=2.655447071
189.27 secs, 2235 evals, 2103 steps, improv/step: 0.202 (last = 0.3333), fitness=2.655447071
189.79 secs, 2241 evals, 2109 steps, improv/step: 0.202 (last = 0.1667), fitness=2.655447071
190.30 secs, 2247 evals, 2115 steps, improv/step: 0.201 (last = 0.1667), fitness=2.655447071
190.81 secs, 2253 evals, 2121 steps, improv/step: 0.202 (last = 0.5000), fitness=2.655447071
191.32 secs, 2259 evals, 2128 steps, improv/step: 0.202 (last = 0.1429), fitness=2.655447071
191.84 secs, 2265 evals, 2134 steps, improv/step: 0.202 (last = 0.1667), fitness=2.655447071
192.34 secs, 2271 evals, 2140 steps, improv/step: 0.201 (last = 0.0000), fitness=2.655447071
192.86 secs, 2277 evals, 2146 steps, improv/step: 0.202 (last = 0.3333), fitness=2.006375450
193.44 secs, 2284 evals, 2153 steps, improv/step: 0.202 (last = 0.2857), fitness=2.006375450
193.94 secs, 2290 evals, 2159 steps, improv/step: 0.202 (last = 0.1667), fitness=2.006375450
194.52 secs, 2297 evals, 2166 steps, improv/step: 0.203 (last = 0.4286), fitness=2.006375450
195.10 secs, 2304 evals, 2173 steps, improv/step: 0.202 (last = 0.1429), fitness=2.006375450
195.61 secs, 2310 evals, 2179 steps, improv/step: 0.203 (last = 0.3333), fitness=2.006375450
196.12 secs, 2316 evals, 2185 steps, improv/step: 0.202 (last = 0.0000), fitness=2.006375450
196.64 secs, 2322 evals, 2191 steps, improv/step: 0.203 (last = 0.5000), fitness=2.006375450
197.14 secs, 2328 evals, 2197 steps, improv/step: 0.203 (last = 0.1667), fitness=2.006375450
197.66 secs, 2334 evals, 2203 steps, improv/step: 0.202 (last = 0.0000), fitness=2.006375450
198.17 secs, 2340 evals, 2209 steps, improv/step: 0.203 (last = 0.3333), fitness=2.006375450
198.70 secs, 2346 evals, 2215 steps, improv/step: 0.203 (last = 0.1667), fitness=2.006375450
199.21 secs, 2352 evals, 2221 steps, improv/step: 0.203 (last = 0.3333), fitness=2.006375450
199.74 secs, 2358 evals, 2227 steps, improv/step: 0.203 (last = 0.0000), fitness=2.006375450
200.32 secs, 2365 evals, 2234 steps, improv/step: 0.202 (last = 0.1429), fitness=2.006375450
200.83 secs, 2371 evals, 2240 steps, improv/step: 0.202 (last = 0.1667), fitness=2.006375450
201.35 secs, 2377 evals, 2246 steps, improv/step: 0.202 (last = 0.1667), fitness=2.006375450
201.93 secs, 2384 evals, 2253 steps, improv/step: 0.202 (last = 0.1429), fitness=1.804575910
202.46 secs, 2390 evals, 2259 steps, improv/step: 0.202 (last = 0.1667), fitness=1.804575910
202.97 secs, 2396 evals, 2265 steps, improv/step: 0.202 (last = 0.1667), fitness=1.804575910
203.49 secs, 2402 evals, 2271 steps, improv/step: 0.202 (last = 0.3333), fitness=1.804575910
204.00 secs, 2408 evals, 2277 steps, improv/step: 0.202 (last = 0.0000), fitness=1.804575910
204.52 secs, 2414 evals, 2283 steps, improv/step: 0.201 (last = 0.1667), fitness=1.804575910
205.03 secs, 2420 evals, 2289 steps, improv/step: 0.201 (last = 0.1667), fitness=1.804575910
205.54 secs, 2426 evals, 2295 steps, improv/step: 0.202 (last = 0.3333), fitness=1.804575910
206.05 secs, 2432 evals, 2301 steps, improv/step: 0.202 (last = 0.1667), fitness=1.804575910
206.56 secs, 2438 evals, 2307 steps, improv/step: 0.202 (last = 0.1667), fitness=1.804575910
207.07 secs, 2444 evals, 2313 steps, improv/step: 0.201 (last = 0.1667), fitness=1.804575910
207.58 secs, 2450 evals, 2319 steps, improv/step: 0.201 (last = 0.0000), fitness=1.804575910
208.09 secs, 2456 evals, 2325 steps, improv/step: 0.200 (last = 0.0000), fitness=1.804575910
208.67 secs, 2463 evals, 2332 steps, improv/step: 0.201 (last = 0.2857), fitness=1.341394143
209.18 secs, 2469 evals, 2338 steps, improv/step: 0.201 (last = 0.5000), fitness=1.341394143
209.76 secs, 2476 evals, 2345 steps, improv/step: 0.201 (last = 0.0000), fitness=1.341394143
210.34 secs, 2483 evals, 2352 steps, improv/step: 0.201 (last = 0.1429), fitness=1.341394143
210.84 secs, 2489 evals, 2358 steps, improv/step: 0.201 (last = 0.3333), fitness=1.341394143
211.41 secs, 2496 evals, 2365 steps, improv/step: 0.200 (last = 0.0000), fitness=1.341394143
211.99 secs, 2503 evals, 2372 steps, improv/step: 0.200 (last = 0.1429), fitness=1.341394143
212.57 secs, 2510 evals, 2379 steps, improv/step: 0.200 (last = 0.1429), fitness=1.341394143
213.07 secs, 2516 evals, 2385 steps, improv/step: 0.200 (last = 0.1667), fitness=1.341394143
213.58 secs, 2522 evals, 2391 steps, improv/step: 0.200 (last = 0.1667), fitness=1.341394143
214.10 secs, 2528 evals, 2397 steps, improv/step: 0.200 (last = 0.3333), fitness=1.341394143
214.66 secs, 2535 evals, 2404 steps, improv/step: 0.200 (last = 0.1429), fitness=1.341394143
215.23 secs, 2542 evals, 2411 steps, improv/step: 0.200 (last = 0.1429), fitness=1.341394143
215.81 secs, 2549 evals, 2418 steps, improv/step: 0.199 (last = 0.0000), fitness=1.341394143
216.31 secs, 2555 evals, 2424 steps, improv/step: 0.199 (last = 0.0000), fitness=1.341394143
216.89 secs, 2562 evals, 2431 steps, improv/step: 0.199 (last = 0.1429), fitness=1.341394143
217.45 secs, 2569 evals, 2438 steps, improv/step: 0.199 (last = 0.1429), fitness=1.341394143
217.98 secs, 2576 evals, 2445 steps, improv/step: 0.198 (last = 0.0000), fitness=1.341394143
218.57 secs, 2583 evals, 2452 steps, improv/step: 0.197 (last = 0.0000), fitness=1.341394143
219.07 secs, 2589 evals, 2458 steps, improv/step: 0.197 (last = 0.0000), fitness=1.341394143
219.58 secs, 2595 evals, 2464 steps, improv/step: 0.197 (last = 0.1667), fitness=1.341394143
220.10 secs, 2601 evals, 2470 steps, improv/step: 0.197 (last = 0.1667), fitness=1.341394143
220.68 secs, 2608 evals, 2477 steps, improv/step: 0.197 (last = 0.1429), fitness=1.341394143
221.25 secs, 2615 evals, 2484 steps, improv/step: 0.196 (last = 0.0000), fitness=1.341394143
221.81 secs, 2622 evals, 2491 steps, improv/step: 0.196 (last = 0.1429), fitness=1.341394143
222.39 secs, 2629 evals, 2498 steps, improv/step: 0.196 (last = 0.2857), fitness=1.341394143
222.89 secs, 2635 evals, 2504 steps, improv/step: 0.196 (last = 0.1667), fitness=1.341394143
223.47 secs, 2642 evals, 2511 steps, improv/step: 0.196 (last = 0.1429), fitness=1.341394143
223.97 secs, 2648 evals, 2517 steps, improv/step: 0.196 (last = 0.1667), fitness=1.341394143
224.48 secs, 2654 evals, 2523 steps, improv/step: 0.197 (last = 0.5000), fitness=1.341394143
225.04 secs, 2661 evals, 2530 steps, improv/step: 0.196 (last = 0.1429), fitness=1.341394143
225.56 secs, 2667 evals, 2536 steps, improv/step: 0.196 (last = 0.1667), fitness=1.341394143
226.12 secs, 2674 evals, 2543 steps, improv/step: 0.196 (last = 0.1429), fitness=1.341394143
226.67 secs, 2681 evals, 2550 steps, improv/step: 0.196 (last = 0.2857), fitness=1.341394143
227.26 secs, 2688 evals, 2557 steps, improv/step: 0.196 (last = 0.0000), fitness=1.341394143
227.76 secs, 2694 evals, 2563 steps, improv/step: 0.196 (last = 0.3333), fitness=1.188414472
228.27 secs, 2700 evals, 2569 steps, improv/step: 0.197 (last = 0.3333), fitness=1.188414472
228.80 secs, 2706 evals, 2575 steps, improv/step: 0.197 (last = 0.3333), fitness=1.188414472
229.32 secs, 2712 evals, 2581 steps, improv/step: 0.197 (last = 0.3333), fitness=1.188414472
229.85 secs, 2718 evals, 2587 steps, improv/step: 0.198 (last = 0.3333), fitness=1.188414472
230.38 secs, 2724 evals, 2593 steps, improv/step: 0.197 (last = 0.0000), fitness=1.188414472
230.91 secs, 2730 evals, 2599 steps, improv/step: 0.197 (last = 0.0000), fitness=1.188414472
231.44 secs, 2736 evals, 2605 steps, improv/step: 0.197 (last = 0.1667), fitness=1.188414472
231.96 secs, 2742 evals, 2611 steps, improv/step: 0.197 (last = 0.3333), fitness=1.188414472
232.53 secs, 2749 evals, 2618 steps, improv/step: 0.196 (last = 0.0000), fitness=1.188414472
233.07 secs, 2756 evals, 2625 steps, improv/step: 0.196 (last = 0.1429), fitness=1.188414472
233.64 secs, 2763 evals, 2632 steps, improv/step: 0.196 (last = 0.2857), fitness=1.188414472
234.15 secs, 2769 evals, 2638 steps, improv/step: 0.196 (last = 0.1667), fitness=1.188414472
234.70 secs, 2776 evals, 2645 steps, improv/step: 0.196 (last = 0.1429), fitness=1.188414472
235.27 secs, 2783 evals, 2652 steps, improv/step: 0.196 (last = 0.2857), fitness=1.188414472
235.85 secs, 2790 evals, 2659 steps, improv/step: 0.196 (last = 0.0000), fitness=1.188414472
236.37 secs, 2796 evals, 2665 steps, improv/step: 0.195 (last = 0.0000), fitness=1.188414472
236.89 secs, 2802 evals, 2671 steps, improv/step: 0.197 (last = 0.6667), fitness=1.188414472
237.46 secs, 2809 evals, 2678 steps, improv/step: 0.197 (last = 0.4286), fitness=1.188414472
237.98 secs, 2815 evals, 2684 steps, improv/step: 0.198 (last = 0.5000), fitness=1.188414472
238.56 secs, 2822 evals, 2691 steps, improv/step: 0.198 (last = 0.2857), fitness=1.188414472
239.07 secs, 2828 evals, 2697 steps, improv/step: 0.198 (last = 0.0000), fitness=1.188414472
239.65 secs, 2835 evals, 2704 steps, improv/step: 0.198 (last = 0.2857), fitness=1.188414472
240.23 secs, 2842 evals, 2711 steps, improv/step: 0.198 (last = 0.2857), fitness=1.188414472
240.73 secs, 2848 evals, 2717 steps, improv/step: 0.198 (last = 0.1667), fitness=1.188414472
241.31 secs, 2855 evals, 2724 steps, improv/step: 0.198 (last = 0.1429), fitness=1.188414472
241.84 secs, 2861 evals, 2730 steps, improv/step: 0.198 (last = 0.1667), fitness=1.188414472
242.35 secs, 2867 evals, 2736 steps, improv/step: 0.198 (last = 0.1667), fitness=1.188414472
242.87 secs, 2873 evals, 2742 steps, improv/step: 0.198 (last = 0.5000), fitness=1.188414472
243.38 secs, 2879 evals, 2748 steps, improv/step: 0.198 (last = 0.0000), fitness=1.188414472
243.91 secs, 2885 evals, 2754 steps, improv/step: 0.198 (last = 0.3333), fitness=1.188414472
244.42 secs, 2891 evals, 2760 steps, improv/step: 0.198 (last = 0.1667), fitness=1.134165219
244.94 secs, 2897 evals, 2766 steps, improv/step: 0.198 (last = 0.3333), fitness=1.134165219
245.46 secs, 2903 evals, 2772 steps, improv/step: 0.199 (last = 0.3333), fitness=1.134165219
245.97 secs, 2909 evals, 2778 steps, improv/step: 0.199 (last = 0.1667), fitness=1.134165219
246.50 secs, 2915 evals, 2784 steps, improv/step: 0.199 (last = 0.1667), fitness=1.134165219
247.02 secs, 2921 evals, 2790 steps, improv/step: 0.199 (last = 0.1667), fitness=1.134165219
247.57 secs, 2927 evals, 2796 steps, improv/step: 0.198 (last = 0.1667), fitness=1.134165219
248.08 secs, 2933 evals, 2802 steps, improv/step: 0.198 (last = 0.1667), fitness=1.134165219
248.60 secs, 2939 evals, 2808 steps, improv/step: 0.199 (last = 0.5000), fitness=1.134165219
249.10 secs, 2945 evals, 2814 steps, improv/step: 0.199 (last = 0.1667), fitness=1.134165219
249.62 secs, 2951 evals, 2820 steps, improv/step: 0.199 (last = 0.1667), fitness=1.134165219
250.13 secs, 2957 evals, 2826 steps, improv/step: 0.199 (last = 0.1667), fitness=1.134165219
250.67 secs, 2963 evals, 2832 steps, improv/step: 0.199 (last = 0.3333), fitness=1.134165219
251.18 secs, 2969 evals, 2838 steps, improv/step: 0.199 (last = 0.0000), fitness=1.134165219
251.70 secs, 2975 evals, 2844 steps, improv/step: 0.199 (last = 0.1667), fitness=1.134165219
252.24 secs, 2981 evals, 2850 steps, improv/step: 0.199 (last = 0.1667), fitness=1.134165219
252.78 secs, 2987 evals, 2856 steps, improv/step: 0.199 (last = 0.1667), fitness=1.134165219
253.33 secs, 2993 evals, 2862 steps, improv/step: 0.198 (last = 0.0000), fitness=1.134165219
253.87 secs, 2999 evals, 2868 steps, improv/step: 0.198 (last = 0.0000), fitness=1.134165219
254.40 secs, 3005 evals, 2874 steps, improv/step: 0.197 (last = 0.0000), fitness=1.134165219
254.94 secs, 3011 evals, 2880 steps, improv/step: 0.198 (last = 0.3333), fitness=0.852345037
255.49 secs, 3017 evals, 2886 steps, improv/step: 0.197 (last = 0.0000), fitness=0.852345037
256.02 secs, 3023 evals, 2892 steps, improv/step: 0.197 (last = 0.0000), fitness=0.852345037
256.57 secs, 3029 evals, 2898 steps, improv/step: 0.197 (last = 0.3333), fitness=0.852345037
257.09 secs, 3035 evals, 2904 steps, improv/step: 0.197 (last = 0.3333), fitness=0.852345037
257.62 secs, 3041 evals, 2910 steps, improv/step: 0.197 (last = 0.1667), fitness=0.852345037
258.14 secs, 3047 evals, 2916 steps, improv/step: 0.197 (last = 0.0000), fitness=0.852345037
258.69 secs, 3053 evals, 2922 steps, improv/step: 0.197 (last = 0.1667), fitness=0.852345037
259.22 secs, 3059 evals, 2928 steps, improv/step: 0.197 (last = 0.1667), fitness=0.852345037
259.76 secs, 3065 evals, 2934 steps, improv/step: 0.197 (last = 0.1667), fitness=0.852345037
260.31 secs, 3071 evals, 2940 steps, improv/step: 0.197 (last = 0.3333), fitness=0.852345037
260.84 secs, 3077 evals, 2946 steps, improv/step: 0.197 (last = 0.0000), fitness=0.852345037
261.36 secs, 3083 evals, 2952 steps, improv/step: 0.196 (last = 0.1667), fitness=0.852345037
261.90 secs, 3089 evals, 2958 steps, improv/step: 0.196 (last = 0.1667), fitness=0.852345037
262.45 secs, 3095 evals, 2964 steps, improv/step: 0.197 (last = 0.3333), fitness=0.852345037
262.99 secs, 3101 evals, 2970 steps, improv/step: 0.196 (last = 0.0000), fitness=0.852345037
263.53 secs, 3107 evals, 2976 steps, improv/step: 0.196 (last = 0.0000), fitness=0.852345037
264.05 secs, 3113 evals, 2982 steps, improv/step: 0.196 (last = 0.1667), fitness=0.852345037
264.60 secs, 3119 evals, 2988 steps, improv/step: 0.196 (last = 0.1667), fitness=0.852345037
265.13 secs, 3125 evals, 2994 steps, improv/step: 0.195 (last = 0.0000), fitness=0.852345037
265.68 secs, 3131 evals, 3000 steps, improv/step: 0.195 (last = 0.0000), fitness=0.852345037
266.21 secs, 3137 evals, 3006 steps, improv/step: 0.196 (last = 0.6667), fitness=0.852345037
266.73 secs, 3143 evals, 3012 steps, improv/step: 0.197 (last = 0.5000), fitness=0.852345037
267.23 secs, 3149 evals, 3018 steps, improv/step: 0.196 (last = 0.0000), fitness=0.852345037
267.75 secs, 3155 evals, 3024 steps, improv/step: 0.196 (last = 0.3333), fitness=0.852345037
268.26 secs, 3161 evals, 3030 steps, improv/step: 0.197 (last = 0.6667), fitness=0.852345037
268.77 secs, 3167 evals, 3036 steps, improv/step: 0.198 (last = 0.3333), fitness=0.852345037
269.28 secs, 3173 evals, 3042 steps, improv/step: 0.198 (last = 0.3333), fitness=0.852345037
269.79 secs, 3179 evals, 3048 steps, improv/step: 0.198 (last = 0.3333), fitness=0.852345037
270.29 secs, 3185 evals, 3054 steps, improv/step: 0.198 (last = 0.0000), fitness=0.852345037
270.85 secs, 3192 evals, 3061 steps, improv/step: 0.198 (last = 0.2857), fitness=0.852345037
271.42 secs, 3199 evals, 3068 steps, improv/step: 0.198 (last = 0.2857), fitness=0.852345037
271.99 secs, 3206 evals, 3075 steps, improv/step: 0.198 (last = 0.0000), fitness=0.852345037
272.56 secs, 3213 evals, 3082 steps, improv/step: 0.198 (last = 0.2857), fitness=0.852345037
273.13 secs, 3220 evals, 3089 steps, improv/step: 0.198 (last = 0.2857), fitness=0.852345037
273.69 secs, 3227 evals, 3096 steps, improv/step: 0.198 (last = 0.1429), fitness=0.852345037
274.23 secs, 3234 evals, 3103 steps, improv/step: 0.198 (last = 0.1429), fitness=0.852345037
274.80 secs, 3241 evals, 3110 steps, improv/step: 0.198 (last = 0.4286), fitness=0.852345037
275.36 secs, 3248 evals, 3117 steps, improv/step: 0.198 (last = 0.1429), fitness=0.852345037
275.92 secs, 3255 evals, 3124 steps, improv/step: 0.198 (last = 0.0000), fitness=0.852345037
276.51 secs, 3262 evals, 3131 steps, improv/step: 0.198 (last = 0.1429), fitness=0.852345037
277.06 secs, 3269 evals, 3138 steps, improv/step: 0.198 (last = 0.1429), fitness=0.852345037
277.62 secs, 3276 evals, 3145 steps, improv/step: 0.197 (last = 0.1429), fitness=0.852345037
278.19 secs, 3283 evals, 3152 steps, improv/step: 0.197 (last = 0.0000), fitness=0.852345037
278.77 secs, 3290 evals, 3159 steps, improv/step: 0.197 (last = 0.2857), fitness=0.852345037
279.35 secs, 3297 evals, 3166 steps, improv/step: 0.197 (last = 0.0000), fitness=0.852345037
279.85 secs, 3303 evals, 3172 steps, improv/step: 0.197 (last = 0.1667), fitness=0.852345037
280.41 secs, 3310 evals, 3179 steps, improv/step: 0.197 (last = 0.2857), fitness=0.852345037
280.99 secs, 3317 evals, 3186 steps, improv/step: 0.196 (last = 0.0000), fitness=0.852345037
281.51 secs, 3323 evals, 3192 steps, improv/step: 0.196 (last = 0.1667), fitness=0.852345037
282.02 secs, 3329 evals, 3198 steps, improv/step: 0.196 (last = 0.1667), fitness=0.852345037
282.53 secs, 3335 evals, 3204 steps, improv/step: 0.196 (last = 0.1667), fitness=0.852345037
283.03 secs, 3341 evals, 3210 steps, improv/step: 0.197 (last = 0.3333), fitness=0.852345037
283.53 secs, 3347 evals, 3216 steps, improv/step: 0.197 (last = 0.1667), fitness=0.852345037
284.05 secs, 3353 evals, 3222 steps, improv/step: 0.196 (last = 0.0000), fitness=0.852345037
284.63 secs, 3360 evals, 3229 steps, improv/step: 0.196 (last = 0.1429), fitness=0.852345037
285.15 secs, 3366 evals, 3235 steps, improv/step: 0.196 (last = 0.0000), fitness=0.852345037
285.74 secs, 3373 evals, 3242 steps, improv/step: 0.196 (last = 0.1429), fitness=0.852345037
286.30 secs, 3380 evals, 3249 steps, improv/step: 0.196 (last = 0.2857), fitness=0.852345037
286.82 secs, 3386 evals, 3255 steps, improv/step: 0.196 (last = 0.1667), fitness=0.852345037
287.32 secs, 3392 evals, 3261 steps, improv/step: 0.196 (last = 0.1667), fitness=0.852345037
287.83 secs, 3398 evals, 3267 steps, improv/step: 0.195 (last = 0.0000), fitness=0.852345037
288.39 secs, 3405 evals, 3274 steps, improv/step: 0.196 (last = 0.4286), fitness=0.852345037
288.89 secs, 3411 evals, 3280 steps, improv/step: 0.196 (last = 0.1667), fitness=0.852345037
289.43 secs, 3418 evals, 3287 steps, improv/step: 0.196 (last = 0.1429), fitness=0.852345037
289.95 secs, 3424 evals, 3293 steps, improv/step: 0.196 (last = 0.5000), fitness=0.852345037
290.46 secs, 3430 evals, 3299 steps, improv/step: 0.196 (last = 0.3333), fitness=0.852345037
291.00 secs, 3437 evals, 3306 steps, improv/step: 0.196 (last = 0.1429), fitness=0.852345037
291.58 secs, 3444 evals, 3313 steps, improv/step: 0.196 (last = 0.1429), fitness=0.852345037
292.11 secs, 3450 evals, 3319 steps, improv/step: 0.196 (last = 0.0000), fitness=0.852345037
292.63 secs, 3456 evals, 3325 steps, improv/step: 0.196 (last = 0.5000), fitness=0.852345037
293.14 secs, 3462 evals, 3331 steps, improv/step: 0.196 (last = 0.1667), fitness=0.852345037
293.64 secs, 3468 evals, 3337 steps, improv/step: 0.196 (last = 0.0000), fitness=0.852345037
294.15 secs, 3474 evals, 3343 steps, improv/step: 0.196 (last = 0.0000), fitness=0.852345037
294.67 secs, 3480 evals, 3349 steps, improv/step: 0.196 (last = 0.1667), fitness=0.852345037
295.19 secs, 3486 evals, 3355 steps, improv/step: 0.196 (last = 0.3333), fitness=0.852345037
295.70 secs, 3492 evals, 3361 steps, improv/step: 0.196 (last = 0.1667), fitness=0.852345037
296.20 secs, 3498 evals, 3367 steps, improv/step: 0.196 (last = 0.3333), fitness=0.852345037
296.75 secs, 3505 evals, 3374 steps, improv/step: 0.197 (last = 0.4286), fitness=0.852345037
297.27 secs, 3511 evals, 3380 steps, improv/step: 0.197 (last = 0.5000), fitness=0.852345037
297.78 secs, 3517 evals, 3386 steps, improv/step: 0.197 (last = 0.0000), fitness=0.852345037
298.30 secs, 3523 evals, 3392 steps, improv/step: 0.196 (last = 0.0000), fitness=0.852345037
298.86 secs, 3530 evals, 3399 steps, improv/step: 0.197 (last = 0.2857), fitness=0.852345037
299.37 secs, 3536 evals, 3405 steps, improv/step: 0.196 (last = 0.0000), fitness=0.852345037
299.89 secs, 3542 evals, 3411 steps, improv/step: 0.197 (last = 0.5000), fitness=0.852345037
300.39 secs, 3548 evals, 3417 steps, improv/step: 0.197 (last = 0.3333), fitness=0.852345037
300.90 secs, 3554 evals, 3423 steps, improv/step: 0.197 (last = 0.1667), fitness=0.852345037
301.41 secs, 3560 evals, 3429 steps, improv/step: 0.197 (last = 0.1667), fitness=0.852345037
301.93 secs, 3566 evals, 3435 steps, improv/step: 0.197 (last = 0.0000), fitness=0.852345037
302.49 secs, 3573 evals, 3442 steps, improv/step: 0.196 (last = 0.0000), fitness=0.852345037
303.06 secs, 3580 evals, 3449 steps, improv/step: 0.196 (last = 0.1429), fitness=0.852345037
303.64 secs, 3587 evals, 3456 steps, improv/step: 0.196 (last = 0.2857), fitness=0.852345037
304.17 secs, 3593 evals, 3462 steps, improv/step: 0.196 (last = 0.0000), fitness=0.852345037
304.71 secs, 3599 evals, 3468 steps, improv/step: 0.196 (last = 0.1667), fitness=0.852345037
305.22 secs, 3605 evals, 3474 steps, improv/step: 0.195 (last = 0.0000), fitness=0.852345037
305.74 secs, 3611 evals, 3480 steps, improv/step: 0.196 (last = 0.5000), fitness=0.852345037
306.31 secs, 3618 evals, 3487 steps, improv/step: 0.196 (last = 0.0000), fitness=0.852345037
306.88 secs, 3625 evals, 3494 steps, improv/step: 0.195 (last = 0.1429), fitness=0.852345037
307.46 secs, 3632 evals, 3501 steps, improv/step: 0.196 (last = 0.2857), fitness=0.852345037
308.03 secs, 3639 evals, 3508 steps, improv/step: 0.196 (last = 0.2857), fitness=0.852345037
308.59 secs, 3646 evals, 3515 steps, improv/step: 0.196 (last = 0.2857), fitness=0.852345037
309.15 secs, 3653 evals, 3522 steps, improv/step: 0.196 (last = 0.1429), fitness=0.852345037
309.71 secs, 3660 evals, 3529 steps, improv/step: 0.196 (last = 0.0000), fitness=0.852345037
310.29 secs, 3667 evals, 3536 steps, improv/step: 0.196 (last = 0.2857), fitness=0.852345037
310.87 secs, 3674 evals, 3543 steps, improv/step: 0.196 (last = 0.1429), fitness=0.852345037
311.39 secs, 3680 evals, 3549 steps, improv/step: 0.195 (last = 0.0000), fitness=0.852345037
311.90 secs, 3686 evals, 3555 steps, improv/step: 0.195 (last = 0.0000), fitness=0.852345037
312.48 secs, 3693 evals, 3562 steps, improv/step: 0.195 (last = 0.0000), fitness=0.852345037
313.03 secs, 3700 evals, 3569 steps, improv/step: 0.195 (last = 0.2857), fitness=0.852345037
313.62 secs, 3707 evals, 3576 steps, improv/step: 0.195 (last = 0.4286), fitness=0.852345037
314.13 secs, 3713 evals, 3582 steps, improv/step: 0.195 (last = 0.1667), fitness=0.852345037
314.68 secs, 3720 evals, 3589 steps, improv/step: 0.195 (last = 0.1429), fitness=0.846350836
315.23 secs, 3727 evals, 3596 steps, improv/step: 0.195 (last = 0.1429), fitness=0.846350836
315.80 secs, 3734 evals, 3603 steps, improv/step: 0.195 (last = 0.2857), fitness=0.846350836
316.37 secs, 3741 evals, 3610 steps, improv/step: 0.195 (last = 0.0000), fitness=0.846350836
316.87 secs, 3747 evals, 3616 steps, improv/step: 0.195 (last = 0.1667), fitness=0.846350836
317.38 secs, 3753 evals, 3622 steps, improv/step: 0.194 (last = 0.0000), fitness=0.846350836
317.88 secs, 3759 evals, 3628 steps, improv/step: 0.195 (last = 0.3333), fitness=0.846350836
318.40 secs, 3765 evals, 3634 steps, improv/step: 0.195 (last = 0.1667), fitness=0.846350836
318.97 secs, 3772 evals, 3641 steps, improv/step: 0.194 (last = 0.1429), fitness=0.846350836
319.48 secs, 3778 evals, 3647 steps, improv/step: 0.194 (last = 0.0000), fitness=0.846350836
320.05 secs, 3785 evals, 3654 steps, improv/step: 0.195 (last = 0.4286), fitness=0.846350836
320.62 secs, 3792 evals, 3661 steps, improv/step: 0.194 (last = 0.0000), fitness=0.846350836
321.19 secs, 3799 evals, 3668 steps, improv/step: 0.194 (last = 0.0000), fitness=0.846350836
321.69 secs, 3805 evals, 3674 steps, improv/step: 0.194 (last = 0.1667), fitness=0.846350836
322.21 secs, 3811 evals, 3680 steps, improv/step: 0.194 (last = 0.3333), fitness=0.846350836
322.72 secs, 3817 evals, 3686 steps, improv/step: 0.194 (last = 0.1667), fitness=0.846350836
323.23 secs, 3823 evals, 3692 steps, improv/step: 0.194 (last = 0.0000), fitness=0.846350836
323.77 secs, 3830 evals, 3699 steps, improv/step: 0.194 (last = 0.2857), fitness=0.846350836
324.27 secs, 3836 evals, 3705 steps, improv/step: 0.194 (last = 0.0000), fitness=0.846350836
324.79 secs, 3842 evals, 3711 steps, improv/step: 0.193 (last = 0.1667), fitness=0.846350836
325.30 secs, 3848 evals, 3717 steps, improv/step: 0.193 (last = 0.0000), fitness=0.846350836
325.83 secs, 3854 evals, 3723 steps, improv/step: 0.193 (last = 0.0000), fitness=0.846350836
326.35 secs, 3860 evals, 3729 steps, improv/step: 0.193 (last = 0.1667), fitness=0.846350836
326.92 secs, 3867 evals, 3736 steps, improv/step: 0.193 (last = 0.1429), fitness=0.846350836
327.50 secs, 3874 evals, 3743 steps, improv/step: 0.193 (last = 0.1429), fitness=0.846350836
328.02 secs, 3880 evals, 3749 steps, improv/step: 0.192 (last = 0.0000), fitness=0.846350836
328.60 secs, 3887 evals, 3756 steps, improv/step: 0.192 (last = 0.1429), fitness=0.846350836
329.11 secs, 3893 evals, 3762 steps, improv/step: 0.192 (last = 0.3333), fitness=0.846350836
329.64 secs, 3899 evals, 3768 steps, improv/step: 0.192 (last = 0.1667), fitness=0.846350836
330.17 secs, 3905 evals, 3774 steps, improv/step: 0.192 (last = 0.0000), fitness=0.846350836
330.69 secs, 3911 evals, 3780 steps, improv/step: 0.193 (last = 0.5000), fitness=0.846350836
331.26 secs, 3918 evals, 3787 steps, improv/step: 0.193 (last = 0.1429), fitness=0.846350836
331.77 secs, 3924 evals, 3793 steps, improv/step: 0.192 (last = 0.1667), fitness=0.846350836
332.35 secs, 3931 evals, 3800 steps, improv/step: 0.192 (last = 0.1429), fitness=0.844016471
332.86 secs, 3937 evals, 3806 steps, improv/step: 0.192 (last = 0.1667), fitness=0.844016471
333.44 secs, 3944 evals, 3813 steps, improv/step: 0.192 (last = 0.1429), fitness=0.844016471
334.01 secs, 3951 evals, 3820 steps, improv/step: 0.193 (last = 0.4286), fitness=0.844016471
334.51 secs, 3957 evals, 3826 steps, improv/step: 0.193 (last = 0.1667), fitness=0.844016471
335.08 secs, 3964 evals, 3833 steps, improv/step: 0.193 (last = 0.1429), fitness=0.844016471
335.65 secs, 3971 evals, 3840 steps, improv/step: 0.193 (last = 0.2857), fitness=0.844016471
336.23 secs, 3978 evals, 3847 steps, improv/step: 0.193 (last = 0.1429), fitness=0.844016471
336.80 secs, 3985 evals, 3854 steps, improv/step: 0.193 (last = 0.4286), fitness=0.844016471
337.38 secs, 3992 evals, 3861 steps, improv/step: 0.193 (last = 0.0000), fitness=0.844016471
337.89 secs, 3998 evals, 3867 steps, improv/step: 0.193 (last = 0.1667), fitness=0.844016471
338.45 secs, 4005 evals, 3874 steps, improv/step: 0.192 (last = 0.0000), fitness=0.844016471
338.97 secs, 4012 evals, 3881 steps, improv/step: 0.192 (last = 0.2857), fitness=0.821102692
339.51 secs, 4019 evals, 3888 steps, improv/step: 0.193 (last = 0.4286), fitness=0.818545998
340.06 secs, 4026 evals, 3895 steps, improv/step: 0.193 (last = 0.4286), fitness=0.818545998
340.61 secs, 4033 evals, 3902 steps, improv/step: 0.194 (last = 0.4286), fitness=0.814969842
341.12 secs, 4039 evals, 3908 steps, improv/step: 0.193 (last = 0.0000), fitness=0.814969842
341.69 secs, 4046 evals, 3915 steps, improv/step: 0.194 (last = 0.2857), fitness=0.814969842
342.21 secs, 4052 evals, 3921 steps, improv/step: 0.194 (last = 0.3333), fitness=0.814969842
342.80 secs, 4059 evals, 3928 steps, improv/step: 0.194 (last = 0.1429), fitness=0.814969842
343.38 secs, 4066 evals, 3935 steps, improv/step: 0.194 (last = 0.2857), fitness=0.814969842
343.95 secs, 4073 evals, 3942 steps, improv/step: 0.194 (last = 0.0000), fitness=0.814969842
344.47 secs, 4079 evals, 3948 steps, improv/step: 0.194 (last = 0.3333), fitness=0.814969842
344.97 secs, 4085 evals, 3954 steps, improv/step: 0.193 (last = 0.0000), fitness=0.814969842
345.47 secs, 4091 evals, 3960 steps, improv/step: 0.194 (last = 0.3333), fitness=0.814969842
346.03 secs, 4098 evals, 3967 steps, improv/step: 0.194 (last = 0.2857), fitness=0.814969842
346.54 secs, 4104 evals, 3973 steps, improv/step: 0.194 (last = 0.0000), fitness=0.814969842
347.05 secs, 4110 evals, 3979 steps, improv/step: 0.193 (last = 0.0000), fitness=0.814969842
347.56 secs, 4116 evals, 3985 steps, improv/step: 0.193 (last = 0.1667), fitness=0.814969842
348.13 secs, 4123 evals, 3992 steps, improv/step: 0.193 (last = 0.1429), fitness=0.814969842
348.64 secs, 4129 evals, 3998 steps, improv/step: 0.194 (last = 0.5000), fitness=0.814969842
349.14 secs, 4135 evals, 4004 steps, improv/step: 0.194 (last = 0.1667), fitness=0.814969842
349.65 secs, 4141 evals, 4010 steps, improv/step: 0.194 (last = 0.3333), fitness=0.814969842
350.15 secs, 4147 evals, 4016 steps, improv/step: 0.194 (last = 0.3333), fitness=0.814969842
350.71 secs, 4154 evals, 4023 steps, improv/step: 0.194 (last = 0.2857), fitness=0.814969842
351.24 secs, 4161 evals, 4030 steps, improv/step: 0.194 (last = 0.2857), fitness=0.814969842
351.77 secs, 4168 evals, 4037 steps, improv/step: 0.194 (last = 0.1429), fitness=0.814969842
352.28 secs, 4174 evals, 4043 steps, improv/step: 0.194 (last = 0.1667), fitness=0.814969842
352.79 secs, 4180 evals, 4049 steps, improv/step: 0.194 (last = 0.3333), fitness=0.814969842
353.30 secs, 4186 evals, 4055 steps, improv/step: 0.195 (last = 0.5000), fitness=0.814969842
353.82 secs, 4192 evals, 4061 steps, improv/step: 0.195 (last = 0.0000), fitness=0.814969842
354.38 secs, 4199 evals, 4068 steps, improv/step: 0.195 (last = 0.5714), fitness=0.814969842
354.89 secs, 4205 evals, 4074 steps, improv/step: 0.195 (last = 0.1667), fitness=0.814969842
355.45 secs, 4212 evals, 4081 steps, improv/step: 0.195 (last = 0.0000), fitness=0.814969842
355.96 secs, 4218 evals, 4087 steps, improv/step: 0.195 (last = 0.0000), fitness=0.814969842
356.46 secs, 4224 evals, 4093 steps, improv/step: 0.194 (last = 0.1667), fitness=0.814969842
357.02 secs, 4231 evals, 4100 steps, improv/step: 0.195 (last = 0.2857), fitness=0.814969842
357.56 secs, 4238 evals, 4107 steps, improv/step: 0.195 (last = 0.2857), fitness=0.814969842
358.10 secs, 4245 evals, 4114 steps, improv/step: 0.196 (last = 0.7143), fitness=0.814969842
358.66 secs, 4252 evals, 4121 steps, improv/step: 0.195 (last = 0.0000), fitness=0.814969842
359.22 secs, 4259 evals, 4128 steps, improv/step: 0.195 (last = 0.1429), fitness=0.814969842
359.79 secs, 4266 evals, 4135 steps, improv/step: 0.195 (last = 0.1429), fitness=0.814969842
360.30 secs, 4272 evals, 4141 steps, improv/step: 0.195 (last = 0.1667), fitness=0.814969842
360.82 secs, 4278 evals, 4147 steps, improv/step: 0.195 (last = 0.1667), fitness=0.814969842
361.32 secs, 4284 evals, 4153 steps, improv/step: 0.195 (last = 0.1667), fitness=0.814969842
361.86 secs, 4291 evals, 4160 steps, improv/step: 0.196 (last = 0.7143), fitness=0.814969842
362.39 secs, 4298 evals, 4167 steps, improv/step: 0.196 (last = 0.1429), fitness=0.814969842
362.92 secs, 4305 evals, 4174 steps, improv/step: 0.196 (last = 0.5714), fitness=0.814969842
363.44 secs, 4312 evals, 4181 steps, improv/step: 0.196 (last = 0.1429), fitness=0.814969842
363.96 secs, 4319 evals, 4188 steps, improv/step: 0.196 (last = 0.1429), fitness=0.814969842
364.50 secs, 4326 evals, 4195 steps, improv/step: 0.196 (last = 0.1429), fitness=0.814969842
365.06 secs, 4333 evals, 4202 steps, improv/step: 0.196 (last = 0.0000), fitness=0.814969842
365.59 secs, 4340 evals, 4209 steps, improv/step: 0.196 (last = 0.1429), fitness=0.811431566
366.11 secs, 4347 evals, 4216 steps, improv/step: 0.195 (last = 0.0000), fitness=0.811431566
366.64 secs, 4354 evals, 4223 steps, improv/step: 0.195 (last = 0.1429), fitness=0.811431566
367.17 secs, 4361 evals, 4230 steps, improv/step: 0.196 (last = 0.2857), fitness=0.811431566
367.69 secs, 4368 evals, 4237 steps, improv/step: 0.195 (last = 0.0000), fitness=0.811431566
368.22 secs, 4375 evals, 4244 steps, improv/step: 0.195 (last = 0.1429), fitness=0.811431566
368.74 secs, 4382 evals, 4251 steps, improv/step: 0.195 (last = 0.4286), fitness=0.810097177
369.27 secs, 4389 evals, 4258 steps, improv/step: 0.196 (last = 0.2857), fitness=0.810097177
369.79 secs, 4396 evals, 4265 steps, improv/step: 0.196 (last = 0.2857), fitness=0.810097177
370.32 secs, 4403 evals, 4272 steps, improv/step: 0.196 (last = 0.2857), fitness=0.810097177
370.85 secs, 4410 evals, 4279 steps, improv/step: 0.196 (last = 0.0000), fitness=0.810097177
371.37 secs, 4417 evals, 4286 steps, improv/step: 0.195 (last = 0.0000), fitness=0.810097177
371.89 secs, 4424 evals, 4293 steps, improv/step: 0.195 (last = 0.1429), fitness=0.810097177
372.42 secs, 4431 evals, 4300 steps, improv/step: 0.195 (last = 0.0000), fitness=0.810097177
372.93 secs, 4438 evals, 4307 steps, improv/step: 0.195 (last = 0.2857), fitness=0.810097177
373.46 secs, 4445 evals, 4314 steps, improv/step: 0.195 (last = 0.1429), fitness=0.810097177
373.99 secs, 4452 evals, 4321 steps, improv/step: 0.195 (last = 0.0000), fitness=0.810097177
374.50 secs, 4459 evals, 4328 steps, improv/step: 0.195 (last = 0.1429), fitness=0.810097177
375.03 secs, 4466 evals, 4335 steps, improv/step: 0.195 (last = 0.2857), fitness=0.810097177
375.55 secs, 4473 evals, 4342 steps, improv/step: 0.195 (last = 0.2857), fitness=0.810097177
376.07 secs, 4480 evals, 4349 steps, improv/step: 0.195 (last = 0.0000), fitness=0.810097177
376.59 secs, 4487 evals, 4356 steps, improv/step: 0.194 (last = 0.1429), fitness=0.810097177
377.11 secs, 4494 evals, 4363 steps, improv/step: 0.194 (last = 0.0000), fitness=0.810097177
377.64 secs, 4501 evals, 4370 steps, improv/step: 0.194 (last = 0.1429), fitness=0.810097177
378.16 secs, 4508 evals, 4377 steps, improv/step: 0.194 (last = 0.0000), fitness=0.810097177
378.68 secs, 4515 evals, 4384 steps, improv/step: 0.194 (last = 0.2857), fitness=0.810097177
379.20 secs, 4522 evals, 4391 steps, improv/step: 0.194 (last = 0.0000), fitness=0.810097177
379.73 secs, 4529 evals, 4398 steps, improv/step: 0.193 (last = 0.1429), fitness=0.810097177
380.25 secs, 4536 evals, 4405 steps, improv/step: 0.194 (last = 0.2857), fitness=0.810097177
380.77 secs, 4543 evals, 4412 steps, improv/step: 0.194 (last = 0.1429), fitness=0.810097177
381.29 secs, 4550 evals, 4419 steps, improv/step: 0.193 (last = 0.0000), fitness=0.810097177
381.82 secs, 4557 evals, 4426 steps, improv/step: 0.193 (last = 0.1429), fitness=0.810097177
382.35 secs, 4564 evals, 4433 steps, improv/step: 0.193 (last = 0.1429), fitness=0.810097177
382.86 secs, 4571 evals, 4440 steps, improv/step: 0.193 (last = 0.0000), fitness=0.810097177
383.39 secs, 4578 evals, 4447 steps, improv/step: 0.193 (last = 0.4286), fitness=0.810097177
383.92 secs, 4585 evals, 4454 steps, improv/step: 0.193 (last = 0.0000), fitness=0.810097177
384.43 secs, 4592 evals, 4461 steps, improv/step: 0.193 (last = 0.1429), fitness=0.810097177
384.96 secs, 4599 evals, 4468 steps, improv/step: 0.193 (last = 0.1429), fitness=0.810097177
385.48 secs, 4606 evals, 4475 steps, improv/step: 0.193 (last = 0.2857), fitness=0.810097177
386.01 secs, 4613 evals, 4482 steps, improv/step: 0.193 (last = 0.1429), fitness=0.810097177
386.54 secs, 4620 evals, 4489 steps, improv/step: 0.193 (last = 0.1429), fitness=0.810097177
387.06 secs, 4627 evals, 4496 steps, improv/step: 0.192 (last = 0.0000), fitness=0.810097177
387.58 secs, 4634 evals, 4503 steps, improv/step: 0.192 (last = 0.1429), fitness=0.810097177
388.11 secs, 4641 evals, 4510 steps, improv/step: 0.192 (last = 0.0000), fitness=0.810097177
388.64 secs, 4648 evals, 4517 steps, improv/step: 0.192 (last = 0.2857), fitness=0.810097177
389.16 secs, 4655 evals, 4524 steps, improv/step: 0.192 (last = 0.1429), fitness=0.810097177
389.68 secs, 4662 evals, 4531 steps, improv/step: 0.193 (last = 0.7143), fitness=0.810097177
390.21 secs, 4669 evals, 4538 steps, improv/step: 0.193 (last = 0.4286), fitness=0.810097177
390.74 secs, 4676 evals, 4545 steps, improv/step: 0.193 (last = 0.1429), fitness=0.810097177
391.27 secs, 4683 evals, 4552 steps, improv/step: 0.193 (last = 0.1429), fitness=0.810097177
391.80 secs, 4690 evals, 4559 steps, improv/step: 0.193 (last = 0.0000), fitness=0.810097177
392.33 secs, 4697 evals, 4566 steps, improv/step: 0.193 (last = 0.1429), fitness=0.810097177
392.86 secs, 4704 evals, 4573 steps, improv/step: 0.192 (last = 0.0000), fitness=0.810097177
393.39 secs, 4711 evals, 4580 steps, improv/step: 0.192 (last = 0.1429), fitness=0.810097177
393.91 secs, 4718 evals, 4587 steps, improv/step: 0.192 (last = 0.0000), fitness=0.810097177
394.44 secs, 4725 evals, 4594 steps, improv/step: 0.192 (last = 0.1429), fitness=0.810097177
394.96 secs, 4732 evals, 4601 steps, improv/step: 0.192 (last = 0.2857), fitness=0.810097177
395.48 secs, 4739 evals, 4608 steps, improv/step: 0.192 (last = 0.2857), fitness=0.810097177
396.01 secs, 4746 evals, 4615 steps, improv/step: 0.192 (last = 0.1429), fitness=0.810097177
396.53 secs, 4753 evals, 4622 steps, improv/step: 0.192 (last = 0.2857), fitness=0.810097177
397.05 secs, 4760 evals, 4629 steps, improv/step: 0.192 (last = 0.0000), fitness=0.810097177
397.58 secs, 4767 evals, 4636 steps, improv/step: 0.192 (last = 0.0000), fitness=0.810097177
398.09 secs, 4774 evals, 4643 steps, improv/step: 0.191 (last = 0.0000), fitness=0.810097177
398.62 secs, 4781 evals, 4650 steps, improv/step: 0.192 (last = 0.2857), fitness=0.810097177
399.15 secs, 4788 evals, 4657 steps, improv/step: 0.192 (last = 0.2857), fitness=0.807198964
399.66 secs, 4795 evals, 4664 steps, improv/step: 0.192 (last = 0.1429), fitness=0.807198964
400.19 secs, 4802 evals, 4671 steps, improv/step: 0.191 (last = 0.0000), fitness=0.807198964
400.71 secs, 4809 evals, 4678 steps, improv/step: 0.191 (last = 0.1429), fitness=0.807198964
401.23 secs, 4816 evals, 4685 steps, improv/step: 0.191 (last = 0.0000), fitness=0.807198964
401.75 secs, 4823 evals, 4692 steps, improv/step: 0.191 (last = 0.0000), fitness=0.807198964
402.27 secs, 4830 evals, 4699 steps, improv/step: 0.191 (last = 0.1429), fitness=0.807198964
402.79 secs, 4837 evals, 4706 steps, improv/step: 0.191 (last = 0.1429), fitness=0.807198964
403.31 secs, 4844 evals, 4713 steps, improv/step: 0.191 (last = 0.1429), fitness=0.807198964
403.83 secs, 4851 evals, 4720 steps, improv/step: 0.190 (last = 0.1429), fitness=0.807198964
404.35 secs, 4858 evals, 4727 steps, improv/step: 0.190 (last = 0.1429), fitness=0.807198964
404.88 secs, 4865 evals, 4734 steps, improv/step: 0.190 (last = 0.1429), fitness=0.807198964
405.40 secs, 4872 evals, 4741 steps, improv/step: 0.190 (last = 0.2857), fitness=0.807198964
405.92 secs, 4879 evals, 4748 steps, improv/step: 0.190 (last = 0.1429), fitness=0.807198964
406.44 secs, 4886 evals, 4755 steps, improv/step: 0.191 (last = 0.2857), fitness=0.807198964
406.96 secs, 4893 evals, 4762 steps, improv/step: 0.191 (last = 0.2857), fitness=0.807198964
407.49 secs, 4900 evals, 4769 steps, improv/step: 0.190 (last = 0.0000), fitness=0.807198964
408.00 secs, 4907 evals, 4776 steps, improv/step: 0.190 (last = 0.1429), fitness=0.807198964
408.53 secs, 4914 evals, 4783 steps, improv/step: 0.190 (last = 0.0000), fitness=0.807198964
409.05 secs, 4921 evals, 4790 steps, improv/step: 0.190 (last = 0.2857), fitness=0.807198964
409.57 secs, 4928 evals, 4797 steps, improv/step: 0.190 (last = 0.2857), fitness=0.807198964
410.10 secs, 4935 evals, 4804 steps, improv/step: 0.190 (last = 0.1429), fitness=0.807198964
410.62 secs, 4942 evals, 4811 steps, improv/step: 0.190 (last = 0.2857), fitness=0.807198964
411.15 secs, 4949 evals, 4818 steps, improv/step: 0.191 (last = 0.4286), fitness=0.807198964
411.67 secs, 4956 evals, 4825 steps, improv/step: 0.191 (last = 0.2857), fitness=0.807198964
412.19 secs, 4963 evals, 4832 steps, improv/step: 0.191 (last = 0.1429), fitness=0.807198964
412.71 secs, 4970 evals, 4839 steps, improv/step: 0.191 (last = 0.1429), fitness=0.807198964
413.24 secs, 4977 evals, 4846 steps, improv/step: 0.191 (last = 0.2857), fitness=0.807198964
413.76 secs, 4984 evals, 4853 steps, improv/step: 0.191 (last = 0.1429), fitness=0.807198964
414.28 secs, 4991 evals, 4860 steps, improv/step: 0.191 (last = 0.1429), fitness=0.807198964
414.80 secs, 4998 evals, 4867 steps, improv/step: 0.190 (last = 0.0000), fitness=0.807198964
415.33 secs, 5005 evals, 4874 steps, improv/step: 0.191 (last = 0.2857), fitness=0.806851743
415.85 secs, 5012 evals, 4881 steps, improv/step: 0.191 (last = 0.1429), fitness=0.806851743
416.37 secs, 5019 evals, 4888 steps, improv/step: 0.191 (last = 0.2857), fitness=0.806070733
416.89 secs, 5026 evals, 4895 steps, improv/step: 0.191 (last = 0.1429), fitness=0.806070733
417.42 secs, 5033 evals, 4902 steps, improv/step: 0.190 (last = 0.0000), fitness=0.806070733
417.93 secs, 5040 evals, 4909 steps, improv/step: 0.190 (last = 0.1429), fitness=0.806070733
418.46 secs, 5047 evals, 4916 steps, improv/step: 0.190 (last = 0.1429), fitness=0.806070733
418.97 secs, 5054 evals, 4923 steps, improv/step: 0.190 (last = 0.1429), fitness=0.806070733
419.54 secs, 5062 evals, 4931 steps, improv/step: 0.190 (last = 0.0000), fitness=0.806070733
420.07 secs, 5069 evals, 4938 steps, improv/step: 0.190 (last = 0.2857), fitness=0.806070733
420.59 secs, 5076 evals, 4945 steps, improv/step: 0.190 (last = 0.2857), fitness=0.806070733
421.11 secs, 5083 evals, 4952 steps, improv/step: 0.190 (last = 0.1429), fitness=0.806070733
421.63 secs, 5090 evals, 4959 steps, improv/step: 0.190 (last = 0.0000), fitness=0.806070733
422.15 secs, 5097 evals, 4966 steps, improv/step: 0.190 (last = 0.4286), fitness=0.806070733
422.67 secs, 5104 evals, 4973 steps, improv/step: 0.190 (last = 0.0000), fitness=0.806070733
423.18 secs, 5111 evals, 4980 steps, improv/step: 0.190 (last = 0.2857), fitness=0.806070733
423.70 secs, 5118 evals, 4987 steps, improv/step: 0.190 (last = 0.1429), fitness=0.806070733
424.22 secs, 5125 evals, 4994 steps, improv/step: 0.190 (last = 0.0000), fitness=0.806070733
424.73 secs, 5132 evals, 5001 steps, improv/step: 0.190 (last = 0.1429), fitness=0.806070733
425.26 secs, 5139 evals, 5008 steps, improv/step: 0.189 (last = 0.0000), fitness=0.806070733
425.78 secs, 5146 evals, 5015 steps, improv/step: 0.189 (last = 0.0000), fitness=0.806070733
426.29 secs, 5153 evals, 5022 steps, improv/step: 0.189 (last = 0.1429), fitness=0.806070733
426.82 secs, 5160 evals, 5029 steps, improv/step: 0.189 (last = 0.1429), fitness=0.806070733
427.33 secs, 5167 evals, 5036 steps, improv/step: 0.189 (last = 0.2857), fitness=0.806070733
427.86 secs, 5174 evals, 5043 steps, improv/step: 0.189 (last = 0.0000), fitness=0.806070733
428.38 secs, 5181 evals, 5050 steps, improv/step: 0.189 (last = 0.0000), fitness=0.806070733
428.90 secs, 5188 evals, 5057 steps, improv/step: 0.188 (last = 0.1429), fitness=0.806070733
429.42 secs, 5195 evals, 5064 steps, improv/step: 0.188 (last = 0.1429), fitness=0.806070733
429.95 secs, 5202 evals, 5071 steps, improv/step: 0.188 (last = 0.0000), fitness=0.806070733
430.46 secs, 5209 evals, 5078 steps, improv/step: 0.188 (last = 0.1429), fitness=0.806070733
430.99 secs, 5216 evals, 5085 steps, improv/step: 0.188 (last = 0.1429), fitness=0.805407201
431.50 secs, 5223 evals, 5092 steps, improv/step: 0.188 (last = 0.1429), fitness=0.805407201
432.03 secs, 5230 evals, 5099 steps, improv/step: 0.188 (last = 0.0000), fitness=0.805407201
432.55 secs, 5237 evals, 5106 steps, improv/step: 0.188 (last = 0.1429), fitness=0.805407201
433.07 secs, 5244 evals, 5113 steps, improv/step: 0.188 (last = 0.1429), fitness=0.805407201
433.59 secs, 5251 evals, 5120 steps, improv/step: 0.187 (last = 0.0000), fitness=0.805407201
434.12 secs, 5258 evals, 5127 steps, improv/step: 0.187 (last = 0.1429), fitness=0.805407201
434.63 secs, 5265 evals, 5134 steps, improv/step: 0.187 (last = 0.0000), fitness=0.805407201
435.16 secs, 5272 evals, 5141 steps, improv/step: 0.187 (last = 0.1429), fitness=0.805407201
435.68 secs, 5279 evals, 5148 steps, improv/step: 0.187 (last = 0.0000), fitness=0.805407201
436.20 secs, 5286 evals, 5155 steps, improv/step: 0.187 (last = 0.2857), fitness=0.805407201
436.73 secs, 5293 evals, 5162 steps, improv/step: 0.187 (last = 0.2857), fitness=0.805407201
437.25 secs, 5300 evals, 5169 steps, improv/step: 0.187 (last = 0.2857), fitness=0.805407201
437.78 secs, 5307 evals, 5176 steps, improv/step: 0.187 (last = 0.4286), fitness=0.805407201
438.31 secs, 5314 evals, 5183 steps, improv/step: 0.188 (last = 0.5714), fitness=0.805407201
438.83 secs, 5321 evals, 5190 steps, improv/step: 0.188 (last = 0.2857), fitness=0.805407201
439.35 secs, 5328 evals, 5197 steps, improv/step: 0.188 (last = 0.1429), fitness=0.805407201
439.87 secs, 5335 evals, 5204 steps, improv/step: 0.188 (last = 0.2857), fitness=0.805407201
440.39 secs, 5342 evals, 5211 steps, improv/step: 0.188 (last = 0.1429), fitness=0.805407201
440.92 secs, 5349 evals, 5218 steps, improv/step: 0.188 (last = 0.2857), fitness=0.805407201
441.43 secs, 5356 evals, 5225 steps, improv/step: 0.188 (last = 0.2857), fitness=0.805407201
441.95 secs, 5363 evals, 5232 steps, improv/step: 0.188 (last = 0.1429), fitness=0.805407201
442.48 secs, 5370 evals, 5239 steps, improv/step: 0.188 (last = 0.0000), fitness=0.805407201
442.99 secs, 5377 evals, 5246 steps, improv/step: 0.188 (last = 0.1429), fitness=0.805407201
443.52 secs, 5384 evals, 5253 steps, improv/step: 0.188 (last = 0.1429), fitness=0.805407201
444.04 secs, 5391 evals, 5260 steps, improv/step: 0.188 (last = 0.1429), fitness=0.805407201
444.56 secs, 5398 evals, 5267 steps, improv/step: 0.188 (last = 0.1429), fitness=0.805407201
445.10 secs, 5405 evals, 5274 steps, improv/step: 0.188 (last = 0.1429), fitness=0.805407201
445.61 secs, 5412 evals, 5281 steps, improv/step: 0.187 (last = 0.0000), fitness=0.805407201
446.14 secs, 5419 evals, 5288 steps, improv/step: 0.187 (last = 0.1429), fitness=0.805407201
446.67 secs, 5426 evals, 5295 steps, improv/step: 0.187 (last = 0.1429), fitness=0.805407201
447.19 secs, 5433 evals, 5302 steps, improv/step: 0.187 (last = 0.1429), fitness=0.805407201
447.71 secs, 5440 evals, 5309 steps, improv/step: 0.188 (last = 0.4286), fitness=0.805407201
448.23 secs, 5447 evals, 5316 steps, improv/step: 0.187 (last = 0.0000), fitness=0.805407201
448.76 secs, 5454 evals, 5323 steps, improv/step: 0.187 (last = 0.2857), fitness=0.805407201
449.29 secs, 5461 evals, 5330 steps, improv/step: 0.187 (last = 0.0000), fitness=0.805407201
449.81 secs, 5468 evals, 5337 steps, improv/step: 0.187 (last = 0.0000), fitness=0.805407201
450.33 secs, 5475 evals, 5344 steps, improv/step: 0.187 (last = 0.0000), fitness=0.805407201
450.86 secs, 5482 evals, 5351 steps, improv/step: 0.187 (last = 0.0000), fitness=0.805407201
451.37 secs, 5489 evals, 5358 steps, improv/step: 0.186 (last = 0.1429), fitness=0.805407201
451.90 secs, 5496 evals, 5365 steps, improv/step: 0.186 (last = 0.1429), fitness=0.805407201
452.42 secs, 5503 evals, 5372 steps, improv/step: 0.186 (last = 0.1429), fitness=0.805407201
452.94 secs, 5510 evals, 5379 steps, improv/step: 0.187 (last = 0.5714), fitness=0.805174711
453.47 secs, 5517 evals, 5386 steps, improv/step: 0.187 (last = 0.0000), fitness=0.805174711
453.99 secs, 5524 evals, 5393 steps, improv/step: 0.187 (last = 0.1429), fitness=0.805174711
454.51 secs, 5531 evals, 5400 steps, improv/step: 0.186 (last = 0.1429), fitness=0.805174711
455.03 secs, 5538 evals, 5407 steps, improv/step: 0.187 (last = 0.2857), fitness=0.805174711
455.55 secs, 5545 evals, 5414 steps, improv/step: 0.187 (last = 0.2857), fitness=0.805174711
456.08 secs, 5552 evals, 5421 steps, improv/step: 0.187 (last = 0.4286), fitness=0.805174711
456.59 secs, 5559 evals, 5428 steps, improv/step: 0.187 (last = 0.0000), fitness=0.805174711
457.12 secs, 5566 evals, 5435 steps, improv/step: 0.187 (last = 0.2857), fitness=0.805174711
457.65 secs, 5573 evals, 5442 steps, improv/step: 0.187 (last = 0.1429), fitness=0.805174711
458.16 secs, 5580 evals, 5449 steps, improv/step: 0.187 (last = 0.1429), fitness=0.805174711
458.69 secs, 5587 evals, 5456 steps, improv/step: 0.187 (last = 0.2857), fitness=0.805174711
459.22 secs, 5594 evals, 5463 steps, improv/step: 0.187 (last = 0.0000), fitness=0.805174711
459.74 secs, 5601 evals, 5470 steps, improv/step: 0.187 (last = 0.2857), fitness=0.805174711
460.26 secs, 5608 evals, 5477 steps, improv/step: 0.187 (last = 0.2857), fitness=0.805174711
460.78 secs, 5615 evals, 5484 steps, improv/step: 0.187 (last = 0.0000), fitness=0.805174711
461.30 secs, 5622 evals, 5491 steps, improv/step: 0.187 (last = 0.1429), fitness=0.805174711
461.83 secs, 5629 evals, 5498 steps, improv/step: 0.186 (last = 0.0000), fitness=0.805174711
462.34 secs, 5636 evals, 5505 steps, improv/step: 0.186 (last = 0.1429), fitness=0.805174711
462.87 secs, 5643 evals, 5512 steps, improv/step: 0.186 (last = 0.0000), fitness=0.805174711
463.40 secs, 5650 evals, 5519 steps, improv/step: 0.186 (last = 0.2857), fitness=0.805174711
463.92 secs, 5657 evals, 5526 steps, improv/step: 0.186 (last = 0.2857), fitness=0.805174711
464.44 secs, 5664 evals, 5533 steps, improv/step: 0.186 (last = 0.1429), fitness=0.805174711
464.95 secs, 5671 evals, 5540 steps, improv/step: 0.186 (last = 0.1429), fitness=0.805174711
465.48 secs, 5678 evals, 5547 steps, improv/step: 0.186 (last = 0.0000), fitness=0.805174711
466.00 secs, 5685 evals, 5554 steps, improv/step: 0.186 (last = 0.1429), fitness=0.805174711
466.52 secs, 5692 evals, 5561 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804476846
467.04 secs, 5699 evals, 5568 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804476846
467.57 secs, 5706 evals, 5575 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804476846
468.09 secs, 5713 evals, 5582 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804476846
468.61 secs, 5720 evals, 5589 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804476846
469.13 secs, 5727 evals, 5596 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804476846
469.66 secs, 5734 evals, 5603 steps, improv/step: 0.186 (last = 0.4286), fitness=0.804476846
470.18 secs, 5741 evals, 5610 steps, improv/step: 0.187 (last = 0.7143), fitness=0.804476846
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471.21 secs, 5755 evals, 5624 steps, improv/step: 0.187 (last = 0.4286), fitness=0.804476846
471.73 secs, 5762 evals, 5631 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804476846
472.24 secs, 5769 evals, 5638 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804476846
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473.28 secs, 5783 evals, 5652 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804476846
473.80 secs, 5790 evals, 5659 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804476846
474.32 secs, 5797 evals, 5666 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804476846
474.83 secs, 5804 evals, 5673 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804476846
475.36 secs, 5811 evals, 5680 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804476846
475.88 secs, 5818 evals, 5687 steps, improv/step: 0.187 (last = 0.4286), fitness=0.804476846
476.40 secs, 5825 evals, 5694 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804476846
476.92 secs, 5832 evals, 5701 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804476846
477.44 secs, 5839 evals, 5708 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804476846
477.96 secs, 5846 evals, 5715 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804476846
478.48 secs, 5853 evals, 5722 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804476846
479.00 secs, 5860 evals, 5729 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804476846
479.52 secs, 5867 evals, 5736 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804476846
480.05 secs, 5874 evals, 5743 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804476846
480.56 secs, 5881 evals, 5750 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804476846
481.08 secs, 5888 evals, 5757 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804476846
481.60 secs, 5895 evals, 5764 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804436684
482.12 secs, 5902 evals, 5771 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804436684
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483.16 secs, 5916 evals, 5785 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804436684
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484.21 secs, 5930 evals, 5799 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804436684
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485.76 secs, 5951 evals, 5820 steps, improv/step: 0.185 (last = 0.4286), fitness=0.804436684
486.28 secs, 5958 evals, 5827 steps, improv/step: 0.186 (last = 0.5714), fitness=0.804436684
486.80 secs, 5965 evals, 5834 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804436684
487.31 secs, 5972 evals, 5841 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804436684
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488.35 secs, 5986 evals, 5855 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804436684
488.87 secs, 5993 evals, 5862 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804436684
489.39 secs, 6000 evals, 5869 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804436684
489.90 secs, 6007 evals, 5876 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804436684
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490.95 secs, 6021 evals, 5890 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804436684
491.47 secs, 6028 evals, 5897 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804436684
491.99 secs, 6035 evals, 5904 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804436684
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495.12 secs, 6077 evals, 5946 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804436684
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496.17 secs, 6091 evals, 5960 steps, improv/step: 0.185 (last = 0.2857), fitness=0.804436684
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497.21 secs, 6105 evals, 5974 steps, improv/step: 0.185 (last = 0.5714), fitness=0.804436684
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498.25 secs, 6119 evals, 5988 steps, improv/step: 0.185 (last = 0.2857), fitness=0.804436684
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505.08 secs, 6210 evals, 6079 steps, improv/step: 0.187 (last = 0.4286), fitness=0.804436684
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510.31 secs, 6280 evals, 6149 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804377653
510.82 secs, 6287 evals, 6156 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804377653
511.35 secs, 6294 evals, 6163 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804377653
511.87 secs, 6301 evals, 6170 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804377653
512.39 secs, 6308 evals, 6177 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804377653
512.92 secs, 6315 evals, 6184 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804377653
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515.00 secs, 6343 evals, 6212 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804370263
515.52 secs, 6350 evals, 6219 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804370263
516.05 secs, 6357 evals, 6226 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804370263
516.56 secs, 6364 evals, 6233 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804370263
517.08 secs, 6371 evals, 6240 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804370263
517.60 secs, 6378 evals, 6247 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804370263
518.13 secs, 6385 evals, 6254 steps, improv/step: 0.186 (last = 0.4286), fitness=0.804370263
518.66 secs, 6392 evals, 6261 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804370263
519.18 secs, 6399 evals, 6268 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804370263
519.70 secs, 6406 evals, 6275 steps, improv/step: 0.186 (last = 0.4286), fitness=0.804370263
520.23 secs, 6413 evals, 6282 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804370263
520.74 secs, 6420 evals, 6289 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804370263
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521.78 secs, 6434 evals, 6303 steps, improv/step: 0.187 (last = 0.4286), fitness=0.804370263
522.30 secs, 6441 evals, 6310 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804370263
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523.34 secs, 6455 evals, 6324 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804370263
523.86 secs, 6462 evals, 6331 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804370263
524.38 secs, 6469 evals, 6338 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804370263
524.89 secs, 6476 evals, 6345 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804370263
525.41 secs, 6483 evals, 6352 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804359468
525.92 secs, 6490 evals, 6359 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804359468
526.45 secs, 6497 evals, 6366 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804359468
526.97 secs, 6504 evals, 6373 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804359468
527.49 secs, 6511 evals, 6380 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804359468
528.01 secs, 6518 evals, 6387 steps, improv/step: 0.186 (last = 0.4286), fitness=0.804359468
528.54 secs, 6525 evals, 6394 steps, improv/step: 0.187 (last = 0.5714), fitness=0.804328776
529.05 secs, 6532 evals, 6401 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804328776
529.58 secs, 6539 evals, 6408 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804328776
530.10 secs, 6546 evals, 6415 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804328776
530.62 secs, 6553 evals, 6422 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804328776
531.15 secs, 6560 evals, 6429 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804328776
531.66 secs, 6567 evals, 6436 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804328776
532.19 secs, 6574 evals, 6443 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804328776
532.71 secs, 6581 evals, 6450 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804328776
533.23 secs, 6588 evals, 6457 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804328776
533.76 secs, 6595 evals, 6464 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804328776
534.27 secs, 6602 evals, 6471 steps, improv/step: 0.186 (last = 0.4286), fitness=0.804328776
534.79 secs, 6609 evals, 6478 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804328776
535.31 secs, 6616 evals, 6485 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804328776
535.83 secs, 6623 evals, 6492 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804328776
536.35 secs, 6630 evals, 6499 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804328776
536.88 secs, 6637 evals, 6506 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804328776
537.39 secs, 6644 evals, 6513 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804328776
537.92 secs, 6651 evals, 6520 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804328776
538.43 secs, 6658 evals, 6527 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804328776
538.95 secs, 6665 evals, 6534 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804328776
539.47 secs, 6672 evals, 6541 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804328776
539.97 secs, 6679 evals, 6548 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804328776
540.48 secs, 6686 evals, 6555 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804328776
541.00 secs, 6693 evals, 6562 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804328776
541.51 secs, 6700 evals, 6569 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804328776
542.02 secs, 6707 evals, 6576 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804328776
542.53 secs, 6714 evals, 6583 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804328776
543.05 secs, 6721 evals, 6590 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804328776
543.57 secs, 6728 evals, 6597 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804328776
544.08 secs, 6735 evals, 6604 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804328776
544.60 secs, 6742 evals, 6611 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804328776
545.13 secs, 6749 evals, 6618 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804328776
545.64 secs, 6756 evals, 6625 steps, improv/step: 0.186 (last = 0.4286), fitness=0.804328776
546.17 secs, 6763 evals, 6632 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804328776
546.68 secs, 6770 evals, 6639 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804328776
547.21 secs, 6777 evals, 6646 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804328776
547.73 secs, 6784 evals, 6653 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804328776
548.24 secs, 6791 evals, 6660 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804328776
548.76 secs, 6798 evals, 6667 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804328776
549.29 secs, 6805 evals, 6674 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804328776
549.80 secs, 6812 evals, 6681 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804328776
550.32 secs, 6819 evals, 6688 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804328776
550.84 secs, 6826 evals, 6695 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804328776
551.36 secs, 6833 evals, 6702 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804328776
551.89 secs, 6840 evals, 6709 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804328776
552.40 secs, 6847 evals, 6716 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804328776
552.92 secs, 6854 evals, 6723 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804328776
553.45 secs, 6861 evals, 6730 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804328776
553.96 secs, 6868 evals, 6737 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804328776
554.48 secs, 6875 evals, 6744 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804328776
555.00 secs, 6882 evals, 6751 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804328776
555.55 secs, 6889 evals, 6758 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804328776
556.07 secs, 6896 evals, 6765 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804328776
556.59 secs, 6903 evals, 6772 steps, improv/step: 0.186 (last = 0.4286), fitness=0.804328776
557.11 secs, 6910 evals, 6779 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804328776
557.63 secs, 6917 evals, 6786 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804328776
558.14 secs, 6924 evals, 6793 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804328776
558.66 secs, 6931 evals, 6800 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804328776
559.17 secs, 6938 evals, 6807 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804328776
559.69 secs, 6945 evals, 6814 steps, improv/step: 0.186 (last = 0.4286), fitness=0.804326059
560.21 secs, 6952 evals, 6821 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804326059
560.73 secs, 6959 evals, 6828 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804326059
561.25 secs, 6966 evals, 6835 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804326059
561.77 secs, 6973 evals, 6842 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804326059
562.29 secs, 6980 evals, 6849 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804326059
562.81 secs, 6987 evals, 6856 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804326059
563.32 secs, 6994 evals, 6863 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804326059
563.84 secs, 7001 evals, 6870 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804326059
564.36 secs, 7008 evals, 6877 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804326059
564.88 secs, 7015 evals, 6884 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804326059
565.40 secs, 7022 evals, 6891 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804326059
565.93 secs, 7029 evals, 6898 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804326059
566.44 secs, 7036 evals, 6905 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804325529
566.97 secs, 7043 evals, 6912 steps, improv/step: 0.186 (last = 0.4286), fitness=0.804324077
567.49 secs, 7050 evals, 6919 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804324077
568.01 secs, 7057 evals, 6926 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804324077
568.53 secs, 7064 evals, 6933 steps, improv/step: 0.186 (last = 0.4286), fitness=0.804324077
569.05 secs, 7071 evals, 6940 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804324077
569.57 secs, 7078 evals, 6947 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804324077
570.10 secs, 7085 evals, 6954 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804324077
570.62 secs, 7092 evals, 6961 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804324077
571.14 secs, 7099 evals, 6968 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804324077
571.66 secs, 7106 evals, 6975 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804324077
572.18 secs, 7113 evals, 6982 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804324077
572.71 secs, 7120 evals, 6989 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804324077
573.22 secs, 7127 evals, 6996 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804324077
573.75 secs, 7134 evals, 7003 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804324077
574.27 secs, 7141 evals, 7010 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804324077
574.79 secs, 7148 evals, 7017 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804324077
575.31 secs, 7155 evals, 7024 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804324077
575.83 secs, 7162 evals, 7031 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804324077
576.36 secs, 7169 evals, 7038 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804324077
576.88 secs, 7176 evals, 7045 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804324077
577.39 secs, 7183 evals, 7052 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804324077
577.92 secs, 7190 evals, 7059 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804324077
578.44 secs, 7197 evals, 7066 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804324077
578.95 secs, 7204 evals, 7073 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804324077
579.48 secs, 7211 evals, 7080 steps, improv/step: 0.186 (last = 0.4286), fitness=0.804324077
580.00 secs, 7218 evals, 7087 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804324077
580.53 secs, 7225 evals, 7094 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804324077
581.05 secs, 7232 evals, 7101 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804324077
581.57 secs, 7239 evals, 7108 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804324077
582.10 secs, 7246 evals, 7115 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804324077
582.62 secs, 7253 evals, 7122 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804324077
583.14 secs, 7260 evals, 7129 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804324077
583.67 secs, 7267 evals, 7136 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804323456
584.19 secs, 7274 evals, 7143 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804323456
584.71 secs, 7281 evals, 7150 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804323456
585.24 secs, 7288 evals, 7157 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804323456
585.76 secs, 7295 evals, 7164 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804323456
586.29 secs, 7302 evals, 7171 steps, improv/step: 0.187 (last = 0.4286), fitness=0.804323456
586.81 secs, 7309 evals, 7178 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804323456
587.33 secs, 7316 evals, 7185 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804323456
587.85 secs, 7323 evals, 7192 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804323456
588.37 secs, 7330 evals, 7199 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804323456
588.90 secs, 7337 evals, 7206 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804323456
589.42 secs, 7344 evals, 7213 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804323456
589.94 secs, 7351 evals, 7220 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804323456
590.46 secs, 7358 evals, 7227 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804323456
590.99 secs, 7365 evals, 7234 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804323456
591.50 secs, 7372 evals, 7241 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804323456
592.03 secs, 7379 evals, 7248 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804323456
592.55 secs, 7386 evals, 7255 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804323456
593.07 secs, 7393 evals, 7262 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804323456
593.59 secs, 7400 evals, 7269 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804323456
594.11 secs, 7407 evals, 7276 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804323456
594.63 secs, 7414 evals, 7283 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804323456
595.15 secs, 7421 evals, 7290 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804323456
595.68 secs, 7428 evals, 7297 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804323456
596.20 secs, 7435 evals, 7304 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804323456
596.72 secs, 7442 evals, 7311 steps, improv/step: 0.186 (last = 0.4286), fitness=0.804323456
597.24 secs, 7449 evals, 7318 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804323456
597.77 secs, 7456 evals, 7325 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804323456
598.28 secs, 7463 evals, 7332 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804323456
598.80 secs, 7470 evals, 7339 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804323456
599.32 secs, 7477 evals, 7346 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804323456
599.85 secs, 7484 evals, 7353 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804323456
600.38 secs, 7491 evals, 7360 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804323456
600.89 secs, 7498 evals, 7367 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804323456
601.42 secs, 7505 evals, 7374 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804323456
601.94 secs, 7512 evals, 7381 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804322516
602.46 secs, 7519 evals, 7388 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804322516
602.99 secs, 7526 evals, 7395 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804322516
603.51 secs, 7533 evals, 7402 steps, improv/step: 0.187 (last = 0.5714), fitness=0.804322516
604.04 secs, 7540 evals, 7409 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804322516
604.56 secs, 7547 evals, 7416 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804322516
605.08 secs, 7554 evals, 7423 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804322516
605.61 secs, 7561 evals, 7430 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804322516
606.13 secs, 7568 evals, 7437 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804322516
606.65 secs, 7575 evals, 7444 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804322516
607.18 secs, 7582 evals, 7451 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804322516
607.72 secs, 7589 evals, 7458 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804322516
608.24 secs, 7596 evals, 7465 steps, improv/step: 0.187 (last = 0.4286), fitness=0.804322516
608.77 secs, 7603 evals, 7472 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804322516
609.29 secs, 7610 evals, 7479 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804322516
609.81 secs, 7617 evals, 7486 steps, improv/step: 0.187 (last = 0.4286), fitness=0.804322516
610.34 secs, 7624 evals, 7493 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804322516
610.85 secs, 7631 evals, 7500 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804322516
611.38 secs, 7638 evals, 7507 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804322516
611.90 secs, 7645 evals, 7514 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804322516
612.42 secs, 7652 evals, 7521 steps, improv/step: 0.187 (last = 0.4286), fitness=0.804322516
612.95 secs, 7659 evals, 7528 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804322516
613.46 secs, 7666 evals, 7535 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804322516
613.99 secs, 7673 evals, 7542 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804322516
614.51 secs, 7680 evals, 7549 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804322516
615.03 secs, 7687 evals, 7556 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804322516
615.56 secs, 7694 evals, 7563 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804322516
616.07 secs, 7701 evals, 7570 steps, improv/step: 0.187 (last = 0.5714), fitness=0.804322516
616.60 secs, 7708 evals, 7577 steps, improv/step: 0.188 (last = 0.2857), fitness=0.804322516
617.13 secs, 7715 evals, 7584 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804322516
617.64 secs, 7722 evals, 7591 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804322516
618.17 secs, 7729 evals, 7598 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804322516
618.70 secs, 7736 evals, 7605 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804322516
619.21 secs, 7743 evals, 7612 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804322516
619.74 secs, 7750 evals, 7619 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804322516
620.25 secs, 7757 evals, 7626 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804322516
620.78 secs, 7764 evals, 7633 steps, improv/step: 0.187 (last = 0.4286), fitness=0.804322516
621.31 secs, 7771 evals, 7640 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804322516
621.83 secs, 7778 evals, 7647 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804322516
622.35 secs, 7785 evals, 7654 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804322516
622.88 secs, 7792 evals, 7661 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804322516
623.40 secs, 7799 evals, 7668 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804322516
623.93 secs, 7806 evals, 7675 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322516
624.45 secs, 7813 evals, 7682 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322516
624.97 secs, 7820 evals, 7689 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804322516
625.50 secs, 7827 evals, 7696 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804322516
626.02 secs, 7834 evals, 7703 steps, improv/step: 0.187 (last = 0.4286), fitness=0.804322516
626.54 secs, 7841 evals, 7710 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804322516
627.07 secs, 7848 evals, 7717 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804322516
627.58 secs, 7855 evals, 7724 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804322516
628.11 secs, 7862 evals, 7731 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322516
628.63 secs, 7869 evals, 7738 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804322516
629.16 secs, 7876 evals, 7745 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804322516
629.68 secs, 7883 evals, 7752 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322516
630.20 secs, 7890 evals, 7759 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322516
630.72 secs, 7897 evals, 7766 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804322516
631.25 secs, 7904 evals, 7773 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804322516
631.77 secs, 7911 evals, 7780 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804322516
632.30 secs, 7918 evals, 7787 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322423
632.82 secs, 7925 evals, 7794 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322423
633.35 secs, 7932 evals, 7801 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322423
633.88 secs, 7939 evals, 7808 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804322423
634.40 secs, 7946 evals, 7815 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322423
634.92 secs, 7953 evals, 7822 steps, improv/step: 0.186 (last = 0.4286), fitness=0.804322423
635.46 secs, 7960 evals, 7829 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804322423
635.98 secs, 7967 evals, 7836 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322423
636.50 secs, 7974 evals, 7843 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804322423
637.02 secs, 7981 evals, 7850 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322423
637.55 secs, 7988 evals, 7857 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322423
638.08 secs, 7995 evals, 7864 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804322423
638.60 secs, 8002 evals, 7871 steps, improv/step: 0.186 (last = 0.4286), fitness=0.804322203
639.13 secs, 8009 evals, 7878 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804322203
639.65 secs, 8016 evals, 7885 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322203
640.17 secs, 8023 evals, 7892 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322203
640.70 secs, 8030 evals, 7899 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322203
641.21 secs, 8037 evals, 7906 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804322203
641.74 secs, 8044 evals, 7913 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804322203
642.26 secs, 8051 evals, 7920 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322203
642.78 secs, 8058 evals, 7927 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322203
643.31 secs, 8065 evals, 7934 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804322203
643.83 secs, 8072 evals, 7941 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322203
644.35 secs, 8079 evals, 7948 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322203
644.87 secs, 8086 evals, 7955 steps, improv/step: 0.186 (last = 0.4286), fitness=0.804322203
645.39 secs, 8093 evals, 7962 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322203
645.92 secs, 8100 evals, 7969 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322203
646.44 secs, 8107 evals, 7976 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804322203
646.95 secs, 8114 evals, 7983 steps, improv/step: 0.186 (last = 0.4286), fitness=0.804322203
647.48 secs, 8121 evals, 7990 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322203
648.00 secs, 8128 evals, 7997 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804322203
648.51 secs, 8135 evals, 8004 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322203
649.04 secs, 8142 evals, 8011 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804322203
649.55 secs, 8149 evals, 8018 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804322203
650.08 secs, 8156 evals, 8025 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322203
650.61 secs, 8163 evals, 8032 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322203
651.12 secs, 8170 evals, 8039 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804322203
651.65 secs, 8177 evals, 8046 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322203
652.17 secs, 8184 evals, 8053 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322203
652.69 secs, 8191 evals, 8060 steps, improv/step: 0.186 (last = 0.4286), fitness=0.804322203
653.21 secs, 8198 evals, 8067 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804322203
653.73 secs, 8205 evals, 8074 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322203
654.25 secs, 8212 evals, 8081 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804322203
654.77 secs, 8219 evals, 8088 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322203
655.28 secs, 8226 evals, 8095 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804322203
655.80 secs, 8233 evals, 8102 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322203
656.32 secs, 8240 evals, 8109 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804322203
656.84 secs, 8247 evals, 8116 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804322203
657.36 secs, 8254 evals, 8123 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804322203
657.87 secs, 8261 evals, 8130 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804322203
658.39 secs, 8268 evals, 8137 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804322203
658.92 secs, 8275 evals, 8144 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804322203
659.43 secs, 8282 evals, 8151 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804322203
659.95 secs, 8289 evals, 8158 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804322203
660.47 secs, 8296 evals, 8165 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804322203
660.98 secs, 8303 evals, 8172 steps, improv/step: 0.185 (last = 0.2857), fitness=0.804322203
661.50 secs, 8310 evals, 8179 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804322203
662.01 secs, 8317 evals, 8186 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804322203
662.53 secs, 8324 evals, 8193 steps, improv/step: 0.185 (last = 0.2857), fitness=0.804322203
663.05 secs, 8331 evals, 8200 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804322203
663.56 secs, 8338 evals, 8207 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804322203
664.08 secs, 8345 evals, 8214 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804322203
664.60 secs, 8352 evals, 8221 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804322203
665.12 secs, 8359 evals, 8228 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804322203
665.64 secs, 8366 evals, 8235 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804322203
666.15 secs, 8373 evals, 8242 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804322203
666.68 secs, 8380 evals, 8249 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804322203
667.20 secs, 8387 evals, 8256 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804322203
667.71 secs, 8394 evals, 8263 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804322203
668.24 secs, 8401 evals, 8270 steps, improv/step: 0.184 (last = 0.2857), fitness=0.804322096
668.77 secs, 8408 evals, 8277 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804322096
669.29 secs, 8415 evals, 8284 steps, improv/step: 0.184 (last = 0.2857), fitness=0.804322096
669.82 secs, 8422 evals, 8291 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804322096
670.36 secs, 8429 evals, 8298 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804322096
670.87 secs, 8435 evals, 8304 steps, improv/step: 0.184 (last = 0.5000), fitness=0.804322096
671.38 secs, 8441 evals, 8310 steps, improv/step: 0.184 (last = 0.1667), fitness=0.804322096
671.89 secs, 8447 evals, 8316 steps, improv/step: 0.184 (last = 0.1667), fitness=0.804322096
672.41 secs, 8453 evals, 8322 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804322096
672.93 secs, 8460 evals, 8329 steps, improv/step: 0.184 (last = 0.2857), fitness=0.804322096
673.45 secs, 8467 evals, 8336 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804322096
673.98 secs, 8474 evals, 8343 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804322096
674.50 secs, 8481 evals, 8350 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804322096
675.03 secs, 8488 evals, 8357 steps, improv/step: 0.184 (last = 0.2857), fitness=0.804322096
675.55 secs, 8495 evals, 8364 steps, improv/step: 0.184 (last = 0.5714), fitness=0.804322096
676.07 secs, 8502 evals, 8371 steps, improv/step: 0.184 (last = 0.2857), fitness=0.804322096
676.60 secs, 8509 evals, 8378 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804322096
677.12 secs, 8516 evals, 8385 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804322096
677.64 secs, 8523 evals, 8392 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804322096
678.16 secs, 8530 evals, 8399 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804322053
678.68 secs, 8537 evals, 8406 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804322053
679.20 secs, 8544 evals, 8413 steps, improv/step: 0.184 (last = 0.2857), fitness=0.804322053
679.72 secs, 8551 evals, 8420 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804322053
680.24 secs, 8558 evals, 8427 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804322053
680.77 secs, 8565 evals, 8434 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804322053
681.28 secs, 8572 evals, 8441 steps, improv/step: 0.184 (last = 0.2857), fitness=0.804322053
681.81 secs, 8579 evals, 8448 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804322053
682.33 secs, 8586 evals, 8455 steps, improv/step: 0.184 (last = 0.2857), fitness=0.804322053
682.85 secs, 8593 evals, 8462 steps, improv/step: 0.184 (last = 0.2857), fitness=0.804322053
683.38 secs, 8600 evals, 8469 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804322053
683.90 secs, 8607 evals, 8476 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804322053
684.42 secs, 8614 evals, 8483 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804322053
684.95 secs, 8621 evals, 8490 steps, improv/step: 0.184 (last = 0.2857), fitness=0.804322053
685.46 secs, 8628 evals, 8497 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804322053
685.99 secs, 8635 evals, 8504 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804322053
686.50 secs, 8642 evals, 8511 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804322053
687.02 secs, 8649 evals, 8518 steps, improv/step: 0.183 (last = 0.0000), fitness=0.804322053
687.54 secs, 8656 evals, 8525 steps, improv/step: 0.183 (last = 0.2857), fitness=0.804322053
688.06 secs, 8663 evals, 8532 steps, improv/step: 0.184 (last = 0.4286), fitness=0.804322053
688.58 secs, 8670 evals, 8539 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804322053
689.10 secs, 8677 evals, 8546 steps, improv/step: 0.184 (last = 0.4286), fitness=0.804322053
689.61 secs, 8684 evals, 8553 steps, improv/step: 0.184 (last = 0.4286), fitness=0.804322053
690.13 secs, 8691 evals, 8560 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804322052
690.64 secs, 8698 evals, 8567 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804322052
691.17 secs, 8705 evals, 8574 steps, improv/step: 0.184 (last = 0.2857), fitness=0.804322052
691.70 secs, 8712 evals, 8581 steps, improv/step: 0.184 (last = 0.2857), fitness=0.804322052
692.21 secs, 8719 evals, 8588 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804322052
692.73 secs, 8726 evals, 8595 steps, improv/step: 0.184 (last = 0.2857), fitness=0.804322052
693.25 secs, 8733 evals, 8602 steps, improv/step: 0.184 (last = 0.2857), fitness=0.804322052
693.77 secs, 8740 evals, 8609 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804322052
694.29 secs, 8747 evals, 8616 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804322052
694.80 secs, 8754 evals, 8623 steps, improv/step: 0.184 (last = 0.4286), fitness=0.804322052
695.33 secs, 8761 evals, 8630 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804322052
695.85 secs, 8768 evals, 8637 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804322052
696.36 secs, 8775 evals, 8644 steps, improv/step: 0.184 (last = 0.2857), fitness=0.804322052
696.88 secs, 8782 evals, 8651 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804321938
697.40 secs, 8789 evals, 8658 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804321938
697.91 secs, 8796 evals, 8665 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804321938
698.44 secs, 8803 evals, 8672 steps, improv/step: 0.184 (last = 0.4286), fitness=0.804321938
698.95 secs, 8810 evals, 8679 steps, improv/step: 0.184 (last = 0.4286), fitness=0.804321938
699.47 secs, 8817 evals, 8686 steps, improv/step: 0.184 (last = 0.4286), fitness=0.804321938
699.99 secs, 8824 evals, 8693 steps, improv/step: 0.185 (last = 0.5714), fitness=0.804321938
700.50 secs, 8831 evals, 8700 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804321938
701.03 secs, 8838 evals, 8707 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804321938
701.55 secs, 8845 evals, 8714 steps, improv/step: 0.185 (last = 0.2857), fitness=0.804321938
702.06 secs, 8852 evals, 8721 steps, improv/step: 0.185 (last = 0.4286), fitness=0.804321938
702.58 secs, 8859 evals, 8728 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804321938
703.09 secs, 8866 evals, 8735 steps, improv/step: 0.185 (last = 0.2857), fitness=0.804321938
703.61 secs, 8873 evals, 8742 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804321938
704.13 secs, 8880 evals, 8749 steps, improv/step: 0.185 (last = 0.5714), fitness=0.804321938
704.64 secs, 8887 evals, 8756 steps, improv/step: 0.185 (last = 0.2857), fitness=0.804321938
705.16 secs, 8894 evals, 8763 steps, improv/step: 0.185 (last = 0.4286), fitness=0.804321938
705.67 secs, 8901 evals, 8770 steps, improv/step: 0.186 (last = 0.4286), fitness=0.804321938
706.19 secs, 8908 evals, 8777 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804321938
706.71 secs, 8915 evals, 8784 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804321938
707.23 secs, 8922 evals, 8791 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804321938
707.75 secs, 8929 evals, 8798 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804321938
708.27 secs, 8936 evals, 8805 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804321938
708.79 secs, 8943 evals, 8812 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804321938
709.30 secs, 8950 evals, 8819 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804321938
709.81 secs, 8957 evals, 8826 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804321938
710.33 secs, 8964 evals, 8833 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804321938
710.85 secs, 8971 evals, 8840 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804321938
711.36 secs, 8978 evals, 8847 steps, improv/step: 0.185 (last = 0.4286), fitness=0.804321938
711.88 secs, 8985 evals, 8854 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804321938
712.40 secs, 8992 evals, 8861 steps, improv/step: 0.185 (last = 0.2857), fitness=0.804321938
712.92 secs, 8999 evals, 8868 steps, improv/step: 0.185 (last = 0.2857), fitness=0.804321938
713.44 secs, 9006 evals, 8875 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804321938
713.95 secs, 9013 evals, 8882 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804321938
714.47 secs, 9020 evals, 8889 steps, improv/step: 0.186 (last = 0.5714), fitness=0.804321938
714.99 secs, 9027 evals, 8896 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804321938
715.50 secs, 9034 evals, 8903 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804321938
716.03 secs, 9041 evals, 8910 steps, improv/step: 0.186 (last = 0.5714), fitness=0.804321938
716.55 secs, 9048 evals, 8917 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804321938
717.06 secs, 9055 evals, 8924 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804321938
717.58 secs, 9062 evals, 8931 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804321938
718.10 secs, 9069 evals, 8938 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804321938
718.62 secs, 9076 evals, 8945 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804321938
719.14 secs, 9083 evals, 8952 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804321938
719.65 secs, 9090 evals, 8959 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804321938
720.17 secs, 9097 evals, 8966 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804321938
720.70 secs, 9104 evals, 8973 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804321897
721.22 secs, 9111 evals, 8980 steps, improv/step: 0.185 (last = 0.4286), fitness=0.804321897
721.74 secs, 9118 evals, 8987 steps, improv/step: 0.185 (last = 0.2857), fitness=0.804321897
722.25 secs, 9125 evals, 8994 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804321897
722.77 secs, 9132 evals, 9001 steps, improv/step: 0.185 (last = 0.2857), fitness=0.804321897
723.30 secs, 9139 evals, 9008 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804321897
723.82 secs, 9146 evals, 9015 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804321897
724.34 secs, 9153 evals, 9022 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804321897
724.86 secs, 9160 evals, 9029 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804321897
725.38 secs, 9167 evals, 9036 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804321897
725.90 secs, 9174 evals, 9043 steps, improv/step: 0.185 (last = 0.4286), fitness=0.804321897
726.42 secs, 9181 evals, 9050 steps, improv/step: 0.185 (last = 0.2857), fitness=0.804321897
726.93 secs, 9188 evals, 9057 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804321897
727.45 secs, 9195 evals, 9064 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804321897
727.96 secs, 9202 evals, 9071 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804321897
728.48 secs, 9209 evals, 9078 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804321897
728.99 secs, 9216 evals, 9085 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804321897
729.50 secs, 9223 evals, 9092 steps, improv/step: 0.185 (last = 0.2857), fitness=0.804321897
730.00 secs, 9230 evals, 9099 steps, improv/step: 0.185 (last = 0.2857), fitness=0.804321897
730.58 secs, 9238 evals, 9107 steps, improv/step: 0.185 (last = 0.1250), fitness=0.804321897
731.09 secs, 9245 evals, 9114 steps, improv/step: 0.185 (last = 0.2857), fitness=0.804321897
731.60 secs, 9252 evals, 9121 steps, improv/step: 0.185 (last = 0.4286), fitness=0.804321897
732.11 secs, 9259 evals, 9128 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804321897
732.63 secs, 9266 evals, 9135 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804321897
733.15 secs, 9273 evals, 9142 steps, improv/step: 0.185 (last = 0.2857), fitness=0.804321897
733.70 secs, 9280 evals, 9149 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804321897
734.23 secs, 9287 evals, 9156 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804321897
734.75 secs, 9294 evals, 9163 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804321897
735.27 secs, 9301 evals, 9170 steps, improv/step: 0.185 (last = 0.5714), fitness=0.804321897
735.79 secs, 9308 evals, 9177 steps, improv/step: 0.185 (last = 0.2857), fitness=0.804321897
736.30 secs, 9315 evals, 9184 steps, improv/step: 0.185 (last = 0.4286), fitness=0.804321897
736.83 secs, 9322 evals, 9191 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804321897
737.35 secs, 9329 evals, 9198 steps, improv/step: 0.185 (last = 0.4286), fitness=0.804321897
737.87 secs, 9336 evals, 9205 steps, improv/step: 0.186 (last = 0.4286), fitness=0.804321897
738.39 secs, 9343 evals, 9212 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804321897
738.91 secs, 9350 evals, 9219 steps, improv/step: 0.186 (last = 0.4286), fitness=0.804321897
739.43 secs, 9357 evals, 9226 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804321897
739.95 secs, 9364 evals, 9233 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804321897
740.46 secs, 9371 evals, 9240 steps, improv/step: 0.186 (last = 0.5714), fitness=0.804321897
740.99 secs, 9378 evals, 9247 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804321897
741.51 secs, 9385 evals, 9254 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804321897
742.03 secs, 9392 evals, 9261 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804321897
742.56 secs, 9399 evals, 9268 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804321897
743.09 secs, 9406 evals, 9275 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804321897
743.60 secs, 9413 evals, 9282 steps, improv/step: 0.186 (last = 0.4286), fitness=0.804321897
744.13 secs, 9420 evals, 9289 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804321897
744.64 secs, 9427 evals, 9296 steps, improv/step: 0.186 (last = 0.4286), fitness=0.804321897
745.17 secs, 9434 evals, 9303 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804321897
745.69 secs, 9441 evals, 9310 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804321897
746.21 secs, 9448 evals, 9317 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804321897
746.73 secs, 9455 evals, 9324 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804321897
747.26 secs, 9462 evals, 9331 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804321897
747.77 secs, 9469 evals, 9338 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804321897
748.30 secs, 9476 evals, 9345 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804321897
748.81 secs, 9483 evals, 9352 steps, improv/step: 0.186 (last = 0.7143), fitness=0.804321897
749.34 secs, 9490 evals, 9359 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804321897
749.87 secs, 9497 evals, 9366 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804321897
750.38 secs, 9504 evals, 9373 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804321897
750.91 secs, 9511 evals, 9380 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804321897
751.43 secs, 9518 evals, 9387 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804321897
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752.47 secs, 9532 evals, 9401 steps, improv/step: 0.186 (last = 0.4286), fitness=0.804321897
752.99 secs, 9539 evals, 9408 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804321897
753.51 secs, 9546 evals, 9415 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804321897
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754.55 secs, 9560 evals, 9429 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804321897
755.07 secs, 9567 evals, 9436 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804321897
755.60 secs, 9574 evals, 9443 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804321897
756.11 secs, 9581 evals, 9450 steps, improv/step: 0.186 (last = 0.4286), fitness=0.804321892
756.64 secs, 9588 evals, 9457 steps, improv/step: 0.187 (last = 0.4286), fitness=0.804321892
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758.20 secs, 9609 evals, 9478 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321892
758.72 secs, 9616 evals, 9485 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321892
759.25 secs, 9623 evals, 9492 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321890
759.78 secs, 9630 evals, 9499 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804321890
760.29 secs, 9637 evals, 9506 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804321890
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761.34 secs, 9651 evals, 9520 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804321890
761.87 secs, 9658 evals, 9527 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804321890
762.39 secs, 9665 evals, 9534 steps, improv/step: 0.187 (last = 0.4286), fitness=0.804321890
762.91 secs, 9672 evals, 9541 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321890
763.44 secs, 9679 evals, 9548 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804321890
763.97 secs, 9686 evals, 9555 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321890
764.48 secs, 9693 evals, 9562 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321890
765.01 secs, 9700 evals, 9569 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804321890
765.53 secs, 9707 evals, 9576 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321890
766.05 secs, 9714 evals, 9583 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804321890
766.58 secs, 9721 evals, 9590 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321890
767.10 secs, 9728 evals, 9597 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804321890
767.63 secs, 9735 evals, 9604 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804321890
768.15 secs, 9742 evals, 9611 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804321890
768.67 secs, 9749 evals, 9618 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804321890
769.19 secs, 9756 evals, 9625 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804321890
769.71 secs, 9763 evals, 9632 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804321890
770.24 secs, 9770 evals, 9639 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804321890
770.77 secs, 9777 evals, 9646 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804321890
771.28 secs, 9784 evals, 9653 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804321890
771.81 secs, 9791 evals, 9660 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804321890
772.33 secs, 9798 evals, 9667 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804321890
772.85 secs, 9805 evals, 9674 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804321890
773.38 secs, 9812 evals, 9681 steps, improv/step: 0.186 (last = 0.5714), fitness=0.804321890
773.90 secs, 9819 evals, 9688 steps, improv/step: 0.187 (last = 0.4286), fitness=0.804321890
774.43 secs, 9826 evals, 9695 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804321890
774.95 secs, 9833 evals, 9702 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804321890
775.47 secs, 9840 evals, 9709 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804321890
776.00 secs, 9847 evals, 9716 steps, improv/step: 0.186 (last = 0.4286), fitness=0.804321890
776.52 secs, 9854 evals, 9723 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804321890
777.05 secs, 9861 evals, 9730 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804321890
777.57 secs, 9868 evals, 9737 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321890
778.09 secs, 9875 evals, 9744 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804321890
778.62 secs, 9882 evals, 9751 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804321890
779.14 secs, 9889 evals, 9758 steps, improv/step: 0.187 (last = 0.4286), fitness=0.804321890
779.66 secs, 9896 evals, 9765 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321890
780.19 secs, 9903 evals, 9772 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321890
780.70 secs, 9910 evals, 9779 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804321890
781.23 secs, 9917 evals, 9786 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321890
781.75 secs, 9924 evals, 9793 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321890
782.27 secs, 9931 evals, 9800 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321890
782.79 secs, 9938 evals, 9807 steps, improv/step: 0.187 (last = 0.4286), fitness=0.804321877
783.32 secs, 9945 evals, 9814 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321877
783.84 secs, 9952 evals, 9821 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321877
784.37 secs, 9959 evals, 9828 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321877
784.88 secs, 9966 evals, 9835 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321877
785.41 secs, 9973 evals, 9842 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804321877
785.94 secs, 9980 evals, 9849 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804321877
786.45 secs, 9987 evals, 9856 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321877
786.98 secs, 9994 evals, 9863 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804321877
787.51 secs, 10001 evals, 9870 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804321877
788.03 secs, 10008 evals, 9877 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804321877
788.56 secs, 10015 evals, 9884 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804321877
789.08 secs, 10022 evals, 9891 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804321877
789.60 secs, 10029 evals, 9898 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804321877
790.13 secs, 10036 evals, 9905 steps, improv/step: 0.187 (last = 0.5714), fitness=0.804321877
790.65 secs, 10043 evals, 9912 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804321877
791.18 secs, 10050 evals, 9919 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321877
791.71 secs, 10057 evals, 9926 steps, improv/step: 0.187 (last = 0.4286), fitness=0.804321877
792.24 secs, 10064 evals, 9933 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804321877
792.76 secs, 10071 evals, 9940 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804321877
793.28 secs, 10078 evals, 9947 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321877
793.81 secs, 10085 evals, 9954 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804321877
794.34 secs, 10092 evals, 9961 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804321877
794.87 secs, 10099 evals, 9968 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804321877
795.39 secs, 10106 evals, 9975 steps, improv/step: 0.187 (last = 0.4286), fitness=0.804321877
795.92 secs, 10113 evals, 9982 steps, improv/step: 0.188 (last = 0.2857), fitness=0.804321877
796.44 secs, 10120 evals, 9989 steps, improv/step: 0.188 (last = 0.1429), fitness=0.804321877
796.97 secs, 10127 evals, 9996 steps, improv/step: 0.188 (last = 0.2857), fitness=0.804321877
797.50 secs, 10134 evals, 10003 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804321877
798.03 secs, 10141 evals, 10010 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321877
798.55 secs, 10148 evals, 10017 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321877
799.07 secs, 10155 evals, 10024 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804321877
799.60 secs, 10162 evals, 10031 steps, improv/step: 0.188 (last = 0.4286), fitness=0.804321877
800.13 secs, 10169 evals, 10038 steps, improv/step: 0.188 (last = 0.1429), fitness=0.804321877
800.65 secs, 10176 evals, 10045 steps, improv/step: 0.188 (last = 0.1429), fitness=0.804321877
801.18 secs, 10183 evals, 10052 steps, improv/step: 0.188 (last = 0.1429), fitness=0.804321877
801.70 secs, 10190 evals, 10059 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321877
802.23 secs, 10197 evals, 10066 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804321877
802.76 secs, 10204 evals, 10073 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321877
803.28 secs, 10211 evals, 10080 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321877
803.81 secs, 10218 evals, 10087 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804321877
804.34 secs, 10225 evals, 10094 steps, improv/step: 0.187 (last = 0.4286), fitness=0.804321877
804.86 secs, 10232 evals, 10101 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804321877
805.38 secs, 10239 evals, 10108 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321877
805.90 secs, 10246 evals, 10115 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804321877
806.43 secs, 10253 evals, 10122 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804321877
806.96 secs, 10260 evals, 10129 steps, improv/step: 0.187 (last = 0.4286), fitness=0.804321877
807.48 secs, 10267 evals, 10136 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804321877
808.01 secs, 10274 evals, 10143 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804321877
808.54 secs, 10281 evals, 10150 steps, improv/step: 0.187 (last = 0.4286), fitness=0.804321877
809.06 secs, 10288 evals, 10157 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804321877
809.58 secs, 10295 evals, 10164 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804321877
810.10 secs, 10302 evals, 10171 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321877
810.63 secs, 10309 evals, 10178 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804321877
811.16 secs, 10316 evals, 10185 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321877
811.68 secs, 10323 evals, 10192 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321877
812.20 secs, 10330 evals, 10199 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804321877
812.73 secs, 10337 evals, 10206 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321877
813.25 secs, 10344 evals, 10213 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804321877
813.78 secs, 10351 evals, 10220 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804321877
814.30 secs, 10358 evals, 10227 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321877
814.83 secs, 10365 evals, 10234 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804321877
815.36 secs, 10372 evals, 10241 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804321877
815.88 secs, 10379 evals, 10248 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321877
816.41 secs, 10386 evals, 10255 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321877
816.94 secs, 10393 evals, 10262 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804321877
817.45 secs, 10400 evals, 10269 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321877
817.98 secs, 10407 evals, 10276 steps, improv/step: 0.187 (last = 0.2857), fitness=0.804321877
818.50 secs, 10414 evals, 10283 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804321877
819.03 secs, 10421 evals, 10290 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804321877
819.56 secs, 10428 evals, 10297 steps, improv/step: 0.187 (last = 0.0000), fitness=0.804321877
820.08 secs, 10435 evals, 10304 steps, improv/step: 0.187 (last = 0.1429), fitness=0.804321877
820.60 secs, 10442 evals, 10311 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804321877
821.13 secs, 10449 evals, 10318 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804321877
821.65 secs, 10456 evals, 10325 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804321877
822.17 secs, 10463 evals, 10332 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804321877
822.70 secs, 10470 evals, 10339 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804321877
823.23 secs, 10477 evals, 10346 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804321877
823.78 secs, 10484 evals, 10353 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804321877
824.30 secs, 10491 evals, 10360 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804321877
824.83 secs, 10498 evals, 10367 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804321877
825.36 secs, 10505 evals, 10374 steps, improv/step: 0.186 (last = 0.2857), fitness=0.804321877
825.88 secs, 10512 evals, 10381 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804321877
826.41 secs, 10519 evals, 10388 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804321877
826.93 secs, 10526 evals, 10395 steps, improv/step: 0.186 (last = 0.0000), fitness=0.804321877
827.46 secs, 10533 evals, 10402 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804321877
827.99 secs, 10540 evals, 10409 steps, improv/step: 0.186 (last = 0.1429), fitness=0.804321877
828.52 secs, 10547 evals, 10416 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804321877
829.05 secs, 10554 evals, 10423 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804321877
829.58 secs, 10561 evals, 10430 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804321877
830.10 secs, 10568 evals, 10437 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804321877
830.63 secs, 10575 evals, 10444 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804321877
831.15 secs, 10582 evals, 10451 steps, improv/step: 0.185 (last = 0.2857), fitness=0.804321877
831.68 secs, 10589 evals, 10458 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804321877
832.21 secs, 10596 evals, 10465 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804321877
832.73 secs, 10603 evals, 10472 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804321877
833.26 secs, 10610 evals, 10479 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804321877
833.79 secs, 10617 evals, 10486 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804321877
834.31 secs, 10624 evals, 10493 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804321877
834.84 secs, 10631 evals, 10500 steps, improv/step: 0.185 (last = 0.1429), fitness=0.804321877
835.36 secs, 10638 evals, 10507 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804321877
835.89 secs, 10645 evals, 10514 steps, improv/step: 0.185 (last = 0.0000), fitness=0.804321877
836.42 secs, 10652 evals, 10521 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804321877
836.94 secs, 10659 evals, 10528 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804321877
837.47 secs, 10666 evals, 10535 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804321877
837.99 secs, 10673 evals, 10542 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804321877
838.51 secs, 10680 evals, 10549 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804321877
839.04 secs, 10687 evals, 10556 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804321877
839.56 secs, 10694 evals, 10563 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804321877
840.08 secs, 10701 evals, 10570 steps, improv/step: 0.184 (last = 0.2857), fitness=0.804321877
840.61 secs, 10708 evals, 10577 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804321877
841.13 secs, 10715 evals, 10584 steps, improv/step: 0.184 (last = 0.4286), fitness=0.804321877
841.66 secs, 10722 evals, 10591 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804321877
842.19 secs, 10729 evals, 10598 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804321877
842.71 secs, 10736 evals, 10605 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804321877
843.24 secs, 10743 evals, 10612 steps, improv/step: 0.184 (last = 0.4286), fitness=0.804321877
843.76 secs, 10750 evals, 10619 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804321877
844.29 secs, 10757 evals, 10626 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804321877
844.82 secs, 10764 evals, 10633 steps, improv/step: 0.184 (last = 0.2857), fitness=0.804321877
845.35 secs, 10771 evals, 10640 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804321877
845.87 secs, 10778 evals, 10647 steps, improv/step: 0.184 (last = 0.2857), fitness=0.804321877
846.40 secs, 10785 evals, 10654 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804321877
846.93 secs, 10792 evals, 10661 steps, improv/step: 0.184 (last = 0.2857), fitness=0.804321877
847.45 secs, 10799 evals, 10668 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804321877
847.97 secs, 10806 evals, 10675 steps, improv/step: 0.184 (last = 0.2857), fitness=0.804321877
848.50 secs, 10813 evals, 10682 steps, improv/step: 0.184 (last = 0.2857), fitness=0.804321877
849.02 secs, 10820 evals, 10689 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804321877
849.54 secs, 10827 evals, 10696 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804321877
850.07 secs, 10834 evals, 10703 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804321877
850.60 secs, 10841 evals, 10710 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804321877
851.12 secs, 10848 evals, 10717 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804321877
851.64 secs, 10855 evals, 10724 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804321877
852.16 secs, 10862 evals, 10731 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804321877
852.68 secs, 10869 evals, 10738 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804321877
853.21 secs, 10876 evals, 10745 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804321877
853.72 secs, 10883 evals, 10752 steps, improv/step: 0.184 (last = 0.0000), fitness=0.804321877
854.25 secs, 10890 evals, 10759 steps, improv/step: 0.184 (last = 0.2857), fitness=0.804321877
854.78 secs, 10897 evals, 10766 steps, improv/step: 0.183 (last = 0.0000), fitness=0.804321877
855.29 secs, 10904 evals, 10773 steps, improv/step: 0.183 (last = 0.1429), fitness=0.804321877
855.82 secs, 10911 evals, 10780 steps, improv/step: 0.183 (last = 0.2857), fitness=0.804321877
856.33 secs, 10918 evals, 10787 steps, improv/step: 0.184 (last = 0.2857), fitness=0.804321877
856.86 secs, 10925 evals, 10794 steps, improv/step: 0.184 (last = 0.2857), fitness=0.804321877
857.39 secs, 10932 evals, 10801 steps, improv/step: 0.184 (last = 0.1429), fitness=0.804321877
857.90 secs, 10939 evals, 10808 steps, improv/step: 0.183 (last = 0.0000), fitness=0.804321877
858.43 secs, 10946 evals, 10815 steps, improv/step: 0.183 (last = 0.1429), fitness=0.804321877
858.96 secs, 10953 evals, 10822 steps, improv/step: 0.183 (last = 0.1429), fitness=0.804321877
859.47 secs, 10960 evals, 10829 steps, improv/step: 0.183 (last = 0.0000), fitness=0.804321877
860.00 secs, 10967 evals, 10836 steps, improv/step: 0.183 (last = 0.0000), fitness=0.804321877
860.52 secs, 10974 evals, 10843 steps, improv/step: 0.183 (last = 0.1429), fitness=0.804321877
861.04 secs, 10981 evals, 10850 steps, improv/step: 0.183 (last = 0.2857), fitness=0.804321877
861.57 secs, 10988 evals, 10857 steps, improv/step: 0.183 (last = 0.2857), fitness=0.804321877
862.08 secs, 10995 evals, 10864 steps, improv/step: 0.183 (last = 0.2857), fitness=0.804321877
862.61 secs, 11002 evals, 10871 steps, improv/step: 0.183 (last = 0.1429), fitness=0.804321877
863.13 secs, 11009 evals, 10878 steps, improv/step: 0.183 (last = 0.1429), fitness=0.804321877
863.66 secs, 11016 evals, 10885 steps, improv/step: 0.183 (last = 0.0000), fitness=0.804321877
864.19 secs, 11023 evals, 10892 steps, improv/step: 0.183 (last = 0.0000), fitness=0.804321877
864.71 secs, 11030 evals, 10899 steps, improv/step: 0.183 (last = 0.0000), fitness=0.804321877
865.24 secs, 11037 evals, 10906 steps, improv/step: 0.183 (last = 0.1429), fitness=0.804321877
865.76 secs, 11044 evals, 10913 steps, improv/step: 0.183 (last = 0.0000), fitness=0.804321877
866.28 secs, 11051 evals, 10920 steps, improv/step: 0.183 (last = 0.0000), fitness=0.804321877
866.81 secs, 11058 evals, 10927 steps, improv/step: 0.183 (last = 0.2857), fitness=0.804321877
867.33 secs, 11065 evals, 10934 steps, improv/step: 0.183 (last = 0.0000), fitness=0.804321877
867.85 secs, 11072 evals, 10941 steps, improv/step: 0.183 (last = 0.1429), fitness=0.804321877
868.38 secs, 11079 evals, 10948 steps, improv/step: 0.183 (last = 0.1429), fitness=0.804321877
868.90 secs, 11086 evals, 10955 steps, improv/step: 0.183 (last = 0.2857), fitness=0.804321877
869.43 secs, 11093 evals, 10962 steps, improv/step: 0.183 (last = 0.0000), fitness=0.804321877
869.96 secs, 11100 evals, 10969 steps, improv/step: 0.183 (last = 0.1429), fitness=0.804321877
870.48 secs, 11107 evals, 10976 steps, improv/step: 0.182 (last = 0.0000), fitness=0.804321877
871.01 secs, 11114 evals, 10983 steps, improv/step: 0.182 (last = 0.1429), fitness=0.804321877
871.52 secs, 11121 evals, 10990 steps, improv/step: 0.182 (last = 0.1429), fitness=0.804321877
872.05 secs, 11128 evals, 10997 steps, improv/step: 0.182 (last = 0.2857), fitness=0.804321877

Optimization stopped after 11001 steps and 872.34 seconds
Termination reason: Max number of steps (11000) reached
Steps per second = 12.61
Function evals per second = 12.76
Improvements/step = 0.18236
Total function evaluations = 11132


Best candidate found: [1.50022, 1.00036, 3.00009, 0.999539]

Fitness: 0.804321877

┌ Warning: `Base.getindex(A::AbstractDiffEqArray, i::Int)` is deprecated, use `Base.getindex(A, :, i)` instead.
│   caller = (::L2Loss{Vector{Float64}, Matrix{Float64}, Float64, Float64, Nothing})(sol::ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, Nothing, ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, var"##246"{var"###ParameterizedDiffEqFunction#248", var"###ParameterizedTGradFunction#249", var"###ParameterizedJacobianFunction#250", Nothing, Nothing, ODESystem}, Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}, SciMLBase.StandardODEProblem}, Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{var"##246"{var"###ParameterizedDiffEqFunction#248", var"###ParameterizedTGradFunction#249", var"###ParameterizedJacobianFunction#250", Nothing, Nothing, ODESystem}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, Nothing, OrdinaryDiffEqTsit5.Tsit5Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}) at cost_functions.jl:103
└ @ DiffEqParamEstim ~/.julia/packages/DiffEqParamEstim/6z5Ou/src/cost_functions.jl:103
┌ Warning: `Base.getindex(A::AbstractDiffEqArray, i::Int)` is deprecated, use `Base.getindex(A, :, i)` instead.
│   caller = (::L2Loss{Vector{Float64}, Matrix{Float64}, Float64, Float64, Nothing})(sol::ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, Nothing, ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, var"##246"{var"###ParameterizedDiffEqFunction#248", var"###ParameterizedTGradFunction#249", var"###ParameterizedJacobianFunction#250", Nothing, Nothing, ODESystem}, Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}, SciMLBase.StandardODEProblem}, Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{var"##246"{var"###ParameterizedDiffEqFunction#248", var"###ParameterizedTGradFunction#249", var"###ParameterizedJacobianFunction#250", Nothing, Nothing, ODESystem}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, Nothing, OrdinaryDiffEqTsit5.Tsit5Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}) at cost_functions.jl:112
└ @ DiffEqParamEstim ~/.julia/packages/DiffEqParamEstim/6z5Ou/src/cost_functions.jl:112
Starting optimization with optimizer DiffEvoOpt{FitPopulation{Float64}, RadiusLimitedSelector, BlackBoxOptim.AdaptiveDiffEvoRandBin{3}, RandomBound{ContinuousRectSearchSpace}}
0.00 secs, 0 evals, 0 steps
0.59 secs, 8 evals, 4 steps, improv/step: 0.750 (last = 0.7500), fitness=478.395896604
1.24 secs, 16 evals, 8 steps, improv/step: 0.500 (last = 0.2500), fitness=478.395896604
1.88 secs, 24 evals, 12 steps, improv/step: 0.417 (last = 0.2500), fitness=478.395896604
2.49 secs, 32 evals, 16 steps, improv/step: 0.500 (last = 0.7500), fitness=208.500635342
3.04 secs, 39 evals, 20 steps, improv/step: 0.550 (last = 0.7500), fitness=208.500635342
3.57 secs, 46 evals, 25 steps, improv/step: 0.560 (last = 0.6000), fitness=208.500635342
4.10 secs, 53 evals, 29 steps, improv/step: 0.552 (last = 0.5000), fitness=160.500975147
4.69 secs, 61 evals, 33 steps, improv/step: 0.545 (last = 0.5000), fitness=160.500975147
5.32 secs, 69 evals, 38 steps, improv/step: 0.500 (last = 0.2000), fitness=160.500975147
5.85 secs, 76 evals, 43 steps, improv/step: 0.465 (last = 0.2000), fitness=160.500975147
6.37 secs, 83 evals, 47 steps, improv/step: 0.468 (last = 0.5000), fitness=160.500975147
6.90 secs, 90 evals, 51 steps, improv/step: 0.451 (last = 0.2500), fitness=160.500975147
7.42 secs, 97 evals, 55 steps, improv/step: 0.455 (last = 0.5000), fitness=160.500975147
7.95 secs, 104 evals, 61 steps, improv/step: 0.459 (last = 0.5000), fitness=160.500975147
8.49 secs, 111 evals, 65 steps, improv/step: 0.462 (last = 0.5000), fitness=160.500975147
9.01 secs, 118 evals, 70 steps, improv/step: 0.443 (last = 0.2000), fitness=160.500975147
9.61 secs, 126 evals, 74 steps, improv/step: 0.446 (last = 0.5000), fitness=160.500975147
10.22 secs, 134 evals, 79 steps, improv/step: 0.443 (last = 0.4000), fitness=160.500975147
10.82 secs, 142 evals, 84 steps, improv/step: 0.476 (last = 1.0000), fitness=160.500975147
11.35 secs, 149 evals, 89 steps, improv/step: 0.472 (last = 0.4000), fitness=160.500975147
11.90 secs, 156 evals, 95 steps, improv/step: 0.453 (last = 0.1667), fitness=160.500975147
12.42 secs, 163 evals, 100 steps, improv/step: 0.460 (last = 0.6000), fitness=160.500975147
12.95 secs, 170 evals, 106 steps, improv/step: 0.453 (last = 0.3333), fitness=147.980855165
13.48 secs, 177 evals, 112 steps, improv/step: 0.455 (last = 0.5000), fitness=147.980855165
14.00 secs, 184 evals, 118 steps, improv/step: 0.441 (last = 0.1667), fitness=147.980855165
14.53 secs, 191 evals, 123 steps, improv/step: 0.439 (last = 0.4000), fitness=147.980855165
15.13 secs, 199 evals, 128 steps, improv/step: 0.445 (last = 0.6000), fitness=147.980855165
15.65 secs, 206 evals, 135 steps, improv/step: 0.422 (last = 0.0000), fitness=147.980855165
16.18 secs, 213 evals, 141 steps, improv/step: 0.426 (last = 0.5000), fitness=147.980855165
16.71 secs, 220 evals, 147 steps, improv/step: 0.429 (last = 0.5000), fitness=147.980855165
17.24 secs, 227 evals, 153 steps, improv/step: 0.412 (last = 0.0000), fitness=147.980855165
17.77 secs, 234 evals, 159 steps, improv/step: 0.409 (last = 0.3333), fitness=147.980855165
18.30 secs, 241 evals, 165 steps, improv/step: 0.406 (last = 0.3333), fitness=147.980855165
18.83 secs, 248 evals, 171 steps, improv/step: 0.404 (last = 0.3333), fitness=147.980855165
19.35 secs, 255 evals, 177 steps, improv/step: 0.401 (last = 0.3333), fitness=135.512190484
19.88 secs, 262 evals, 184 steps, improv/step: 0.402 (last = 0.4286), fitness=135.512190484
20.41 secs, 269 evals, 191 steps, improv/step: 0.403 (last = 0.4286), fitness=135.512190484
21.01 secs, 277 evals, 198 steps, improv/step: 0.389 (last = 0.0000), fitness=135.512190484
21.54 secs, 284 evals, 205 steps, improv/step: 0.385 (last = 0.2857), fitness=47.707377181
22.14 secs, 292 evals, 211 steps, improv/step: 0.389 (last = 0.5000), fitness=47.707377181
22.66 secs, 299 evals, 216 steps, improv/step: 0.384 (last = 0.2000), fitness=47.707377181
23.19 secs, 306 evals, 222 steps, improv/step: 0.383 (last = 0.3333), fitness=47.707377181
23.73 secs, 313 evals, 229 steps, improv/step: 0.384 (last = 0.4286), fitness=47.707377181
24.25 secs, 320 evals, 236 steps, improv/step: 0.386 (last = 0.4286), fitness=47.707377181
24.79 secs, 327 evals, 242 steps, improv/step: 0.380 (last = 0.1667), fitness=47.707377181
25.32 secs, 334 evals, 249 steps, improv/step: 0.382 (last = 0.4286), fitness=47.707377181
25.84 secs, 341 evals, 256 steps, improv/step: 0.383 (last = 0.4286), fitness=47.707377181
26.37 secs, 348 evals, 263 steps, improv/step: 0.380 (last = 0.2857), fitness=47.707377181
26.90 secs, 355 evals, 269 steps, improv/step: 0.379 (last = 0.3333), fitness=47.707377181
27.43 secs, 362 evals, 275 steps, improv/step: 0.389 (last = 0.8333), fitness=47.707377181
27.97 secs, 369 evals, 280 steps, improv/step: 0.389 (last = 0.4000), fitness=47.707377181
28.49 secs, 376 evals, 287 steps, improv/step: 0.383 (last = 0.1429), fitness=47.707377181
29.02 secs, 383 evals, 294 steps, improv/step: 0.381 (last = 0.2857), fitness=12.202446555
29.55 secs, 390 evals, 301 steps, improv/step: 0.375 (last = 0.1429), fitness=12.202446555
30.08 secs, 397 evals, 308 steps, improv/step: 0.370 (last = 0.1429), fitness=12.202446555
30.61 secs, 404 evals, 315 steps, improv/step: 0.371 (last = 0.4286), fitness=12.202446555
31.13 secs, 411 evals, 322 steps, improv/step: 0.366 (last = 0.1429), fitness=12.202446555
31.68 secs, 418 evals, 329 steps, improv/step: 0.371 (last = 0.5714), fitness=12.202446555
32.21 secs, 425 evals, 335 steps, improv/step: 0.370 (last = 0.3333), fitness=12.202446555
32.74 secs, 432 evals, 342 steps, improv/step: 0.374 (last = 0.5714), fitness=12.202446555
33.27 secs, 439 evals, 349 steps, improv/step: 0.372 (last = 0.2857), fitness=12.202446555
33.79 secs, 446 evals, 356 steps, improv/step: 0.374 (last = 0.4286), fitness=12.202446555
34.32 secs, 453 evals, 363 steps, improv/step: 0.375 (last = 0.4286), fitness=12.202446555
34.86 secs, 460 evals, 370 steps, improv/step: 0.376 (last = 0.4286), fitness=12.202446555
35.38 secs, 467 evals, 377 steps, improv/step: 0.374 (last = 0.2857), fitness=12.202446555
35.91 secs, 474 evals, 384 steps, improv/step: 0.375 (last = 0.4286), fitness=12.202446555
36.43 secs, 481 evals, 391 steps, improv/step: 0.371 (last = 0.1429), fitness=12.202446555
36.95 secs, 488 evals, 398 steps, improv/step: 0.369 (last = 0.2857), fitness=12.202446555
37.48 secs, 495 evals, 405 steps, improv/step: 0.368 (last = 0.2857), fitness=12.202446555
38.02 secs, 502 evals, 412 steps, improv/step: 0.369 (last = 0.4286), fitness=12.202446555
38.55 secs, 509 evals, 419 steps, improv/step: 0.370 (last = 0.4286), fitness=12.202446555
39.08 secs, 516 evals, 426 steps, improv/step: 0.371 (last = 0.4286), fitness=12.202446555
39.59 secs, 523 evals, 433 steps, improv/step: 0.365 (last = 0.0000), fitness=12.202446555
40.12 secs, 530 evals, 440 steps, improv/step: 0.364 (last = 0.2857), fitness=12.202446555
40.65 secs, 537 evals, 447 steps, improv/step: 0.362 (last = 0.2857), fitness=12.202446555
41.17 secs, 544 evals, 454 steps, improv/step: 0.357 (last = 0.0000), fitness=12.202446555
41.71 secs, 551 evals, 461 steps, improv/step: 0.351 (last = 0.0000), fitness=12.202446555
42.23 secs, 558 evals, 468 steps, improv/step: 0.353 (last = 0.4286), fitness=12.202446555
42.75 secs, 565 evals, 475 steps, improv/step: 0.347 (last = 0.0000), fitness=12.202446555
43.28 secs, 572 evals, 482 steps, improv/step: 0.346 (last = 0.2857), fitness=12.202446555
43.82 secs, 579 evals, 489 steps, improv/step: 0.342 (last = 0.0000), fitness=12.202446555
44.38 secs, 586 evals, 496 steps, improv/step: 0.343 (last = 0.4286), fitness=12.202446555
44.92 secs, 593 evals, 503 steps, improv/step: 0.342 (last = 0.2857), fitness=12.202446555
45.44 secs, 600 evals, 510 steps, improv/step: 0.339 (last = 0.1429), fitness=12.202446555
45.97 secs, 607 evals, 517 steps, improv/step: 0.338 (last = 0.2857), fitness=12.202446555
46.50 secs, 614 evals, 524 steps, improv/step: 0.336 (last = 0.1429), fitness=12.202446555
47.03 secs, 621 evals, 531 steps, improv/step: 0.333 (last = 0.1429), fitness=12.202446555
47.56 secs, 628 evals, 538 steps, improv/step: 0.338 (last = 0.7143), fitness=12.202446555
48.08 secs, 635 evals, 545 steps, improv/step: 0.338 (last = 0.2857), fitness=12.202446555
48.61 secs, 642 evals, 552 steps, improv/step: 0.337 (last = 0.2857), fitness=12.202446555
49.15 secs, 649 evals, 559 steps, improv/step: 0.338 (last = 0.4286), fitness=12.202446555
49.66 secs, 656 evals, 566 steps, improv/step: 0.337 (last = 0.2857), fitness=12.202446555
50.19 secs, 663 evals, 573 steps, improv/step: 0.335 (last = 0.1429), fitness=12.202446555
50.72 secs, 670 evals, 580 steps, improv/step: 0.331 (last = 0.0000), fitness=12.202446555
51.25 secs, 677 evals, 587 steps, improv/step: 0.329 (last = 0.1429), fitness=12.202446555
51.78 secs, 684 evals, 594 steps, improv/step: 0.325 (last = 0.0000), fitness=12.202446555
52.30 secs, 691 evals, 601 steps, improv/step: 0.323 (last = 0.1429), fitness=12.202446555
52.83 secs, 698 evals, 608 steps, improv/step: 0.322 (last = 0.2857), fitness=12.202446555
53.36 secs, 705 evals, 615 steps, improv/step: 0.325 (last = 0.5714), fitness=12.202446555
53.88 secs, 712 evals, 622 steps, improv/step: 0.323 (last = 0.1429), fitness=12.202446555
54.41 secs, 719 evals, 629 steps, improv/step: 0.323 (last = 0.2857), fitness=12.202446555
54.93 secs, 726 evals, 636 steps, improv/step: 0.319 (last = 0.0000), fitness=12.202446555
55.46 secs, 733 evals, 643 steps, improv/step: 0.319 (last = 0.2857), fitness=12.202446555
56.01 secs, 740 evals, 650 steps, improv/step: 0.320 (last = 0.4286), fitness=12.202446555
56.52 secs, 747 evals, 657 steps, improv/step: 0.320 (last = 0.2857), fitness=12.202446555
57.05 secs, 754 evals, 664 steps, improv/step: 0.316 (last = 0.0000), fitness=12.202446555
57.58 secs, 761 evals, 671 steps, improv/step: 0.313 (last = 0.0000), fitness=12.202446555
58.10 secs, 768 evals, 678 steps, improv/step: 0.310 (last = 0.0000), fitness=12.202446555
58.63 secs, 775 evals, 685 steps, improv/step: 0.311 (last = 0.4286), fitness=12.202446555
59.15 secs, 782 evals, 692 steps, improv/step: 0.309 (last = 0.1429), fitness=12.202446555
59.68 secs, 789 evals, 699 steps, improv/step: 0.308 (last = 0.1429), fitness=12.202446555
60.21 secs, 796 evals, 706 steps, improv/step: 0.307 (last = 0.2857), fitness=12.202446555
60.74 secs, 803 evals, 713 steps, improv/step: 0.306 (last = 0.1429), fitness=12.202446555
61.26 secs, 810 evals, 720 steps, improv/step: 0.304 (last = 0.1429), fitness=12.202446555
61.78 secs, 817 evals, 727 steps, improv/step: 0.301 (last = 0.0000), fitness=12.202446555
62.31 secs, 824 evals, 734 steps, improv/step: 0.300 (last = 0.1429), fitness=12.202446555
62.84 secs, 831 evals, 741 steps, improv/step: 0.298 (last = 0.1429), fitness=12.202446555
63.36 secs, 838 evals, 748 steps, improv/step: 0.298 (last = 0.2857), fitness=12.202446555
63.89 secs, 845 evals, 755 steps, improv/step: 0.297 (last = 0.1429), fitness=12.202446555
64.41 secs, 852 evals, 762 steps, improv/step: 0.297 (last = 0.2857), fitness=12.202446555
64.93 secs, 859 evals, 769 steps, improv/step: 0.296 (last = 0.2857), fitness=12.202446555
65.46 secs, 866 evals, 776 steps, improv/step: 0.296 (last = 0.2857), fitness=12.202446555
65.98 secs, 873 evals, 783 steps, improv/step: 0.295 (last = 0.1429), fitness=12.202446555
66.51 secs, 880 evals, 790 steps, improv/step: 0.296 (last = 0.4286), fitness=12.202446555
67.04 secs, 887 evals, 797 steps, improv/step: 0.295 (last = 0.1429), fitness=12.202446555
67.56 secs, 894 evals, 804 steps, improv/step: 0.296 (last = 0.4286), fitness=12.202446555
68.10 secs, 901 evals, 811 steps, improv/step: 0.296 (last = 0.2857), fitness=12.202446555
68.64 secs, 908 evals, 818 steps, improv/step: 0.297 (last = 0.4286), fitness=12.202446555
69.16 secs, 915 evals, 825 steps, improv/step: 0.298 (last = 0.4286), fitness=12.202446555
69.68 secs, 922 evals, 832 steps, improv/step: 0.297 (last = 0.1429), fitness=12.202446555
70.21 secs, 929 evals, 839 steps, improv/step: 0.296 (last = 0.1429), fitness=12.202446555
70.74 secs, 936 evals, 846 steps, improv/step: 0.294 (last = 0.1429), fitness=12.202446555
71.27 secs, 943 evals, 853 steps, improv/step: 0.293 (last = 0.1429), fitness=12.202446555
71.79 secs, 950 evals, 860 steps, improv/step: 0.294 (last = 0.4286), fitness=7.049631335
72.32 secs, 957 evals, 867 steps, improv/step: 0.292 (last = 0.0000), fitness=7.049631335
72.85 secs, 964 evals, 874 steps, improv/step: 0.292 (last = 0.2857), fitness=7.049631335
73.37 secs, 971 evals, 881 steps, improv/step: 0.289 (last = 0.0000), fitness=7.049631335
73.91 secs, 978 evals, 888 steps, improv/step: 0.287 (last = 0.0000), fitness=7.049631335
74.43 secs, 985 evals, 895 steps, improv/step: 0.286 (last = 0.1429), fitness=7.049631335
74.96 secs, 992 evals, 902 steps, improv/step: 0.284 (last = 0.0000), fitness=7.049631335
75.49 secs, 999 evals, 909 steps, improv/step: 0.283 (last = 0.1429), fitness=7.049631335
76.01 secs, 1006 evals, 916 steps, improv/step: 0.282 (last = 0.1429), fitness=7.049631335
76.54 secs, 1013 evals, 923 steps, improv/step: 0.283 (last = 0.4286), fitness=7.049631335
77.07 secs, 1020 evals, 930 steps, improv/step: 0.284 (last = 0.4286), fitness=7.049631335
77.59 secs, 1027 evals, 937 steps, improv/step: 0.282 (last = 0.0000), fitness=7.049631335
78.12 secs, 1034 evals, 944 steps, improv/step: 0.281 (last = 0.1429), fitness=7.049631335
78.63 secs, 1041 evals, 951 steps, improv/step: 0.281 (last = 0.2857), fitness=7.049631335
79.16 secs, 1048 evals, 958 steps, improv/step: 0.280 (last = 0.1429), fitness=7.049631335
79.69 secs, 1055 evals, 965 steps, improv/step: 0.279 (last = 0.1429), fitness=7.049631335
80.21 secs, 1062 evals, 972 steps, improv/step: 0.279 (last = 0.2857), fitness=7.049631335
80.74 secs, 1069 evals, 979 steps, improv/step: 0.279 (last = 0.2857), fitness=7.049631335
81.27 secs, 1076 evals, 986 steps, improv/step: 0.279 (last = 0.2857), fitness=7.049631335
81.79 secs, 1083 evals, 993 steps, improv/step: 0.278 (last = 0.1429), fitness=7.049631335
82.32 secs, 1090 evals, 1000 steps, improv/step: 0.277 (last = 0.1429), fitness=7.049631335
82.84 secs, 1097 evals, 1007 steps, improv/step: 0.277 (last = 0.2857), fitness=7.049631335
83.37 secs, 1104 evals, 1014 steps, improv/step: 0.278 (last = 0.4286), fitness=7.049631335
83.90 secs, 1111 evals, 1021 steps, improv/step: 0.277 (last = 0.1429), fitness=7.049631335
84.42 secs, 1118 evals, 1028 steps, improv/step: 0.276 (last = 0.1429), fitness=7.049631335
84.95 secs, 1125 evals, 1035 steps, improv/step: 0.275 (last = 0.1429), fitness=7.049631335
85.48 secs, 1132 evals, 1042 steps, improv/step: 0.276 (last = 0.4286), fitness=7.049631335
86.00 secs, 1139 evals, 1049 steps, improv/step: 0.276 (last = 0.1429), fitness=7.049631335
86.53 secs, 1146 evals, 1056 steps, improv/step: 0.274 (last = 0.0000), fitness=7.049631335
87.05 secs, 1153 evals, 1063 steps, improv/step: 0.273 (last = 0.1429), fitness=7.049631335
87.58 secs, 1160 evals, 1070 steps, improv/step: 0.274 (last = 0.4286), fitness=7.049631335
88.12 secs, 1167 evals, 1077 steps, improv/step: 0.273 (last = 0.1429), fitness=7.049631335
88.64 secs, 1174 evals, 1084 steps, improv/step: 0.273 (last = 0.2857), fitness=7.049631335
89.18 secs, 1181 evals, 1091 steps, improv/step: 0.271 (last = 0.0000), fitness=7.049631335
89.71 secs, 1188 evals, 1098 steps, improv/step: 0.270 (last = 0.1429), fitness=7.049631335
90.23 secs, 1195 evals, 1105 steps, improv/step: 0.269 (last = 0.0000), fitness=7.049631335
90.76 secs, 1202 evals, 1112 steps, improv/step: 0.271 (last = 0.5714), fitness=7.049631335
91.29 secs, 1209 evals, 1119 steps, improv/step: 0.271 (last = 0.2857), fitness=7.049631335
91.82 secs, 1216 evals, 1126 steps, improv/step: 0.270 (last = 0.1429), fitness=4.633702890
92.36 secs, 1223 evals, 1133 steps, improv/step: 0.271 (last = 0.4286), fitness=4.633702890
92.88 secs, 1230 evals, 1140 steps, improv/step: 0.270 (last = 0.1429), fitness=4.633702890
93.41 secs, 1237 evals, 1147 steps, improv/step: 0.269 (last = 0.0000), fitness=4.633702890
93.93 secs, 1244 evals, 1154 steps, improv/step: 0.268 (last = 0.1429), fitness=4.633702890
94.47 secs, 1251 evals, 1161 steps, improv/step: 0.269 (last = 0.4286), fitness=4.633702890
95.01 secs, 1258 evals, 1168 steps, improv/step: 0.269 (last = 0.2857), fitness=4.633702890
95.53 secs, 1265 evals, 1175 steps, improv/step: 0.270 (last = 0.4286), fitness=4.633702890
96.06 secs, 1272 evals, 1182 steps, improv/step: 0.269 (last = 0.1429), fitness=4.633702890
96.59 secs, 1279 evals, 1189 steps, improv/step: 0.269 (last = 0.2857), fitness=4.633702890
97.11 secs, 1286 evals, 1196 steps, improv/step: 0.268 (last = 0.1429), fitness=4.633702890
97.64 secs, 1293 evals, 1203 steps, improv/step: 0.268 (last = 0.1429), fitness=4.633702890
98.16 secs, 1300 evals, 1210 steps, improv/step: 0.268 (last = 0.2857), fitness=4.633702890
98.69 secs, 1307 evals, 1217 steps, improv/step: 0.268 (last = 0.2857), fitness=4.633702890
99.23 secs, 1314 evals, 1224 steps, improv/step: 0.267 (last = 0.1429), fitness=4.633702890
99.76 secs, 1321 evals, 1231 steps, improv/step: 0.267 (last = 0.2857), fitness=4.633702890
100.29 secs, 1328 evals, 1238 steps, improv/step: 0.267 (last = 0.1429), fitness=4.633702890
100.82 secs, 1335 evals, 1245 steps, improv/step: 0.267 (last = 0.2857), fitness=4.633702890
101.34 secs, 1342 evals, 1252 steps, improv/step: 0.265 (last = 0.0000), fitness=4.633702890
101.87 secs, 1349 evals, 1259 steps, improv/step: 0.264 (last = 0.1429), fitness=4.633702890
102.40 secs, 1356 evals, 1266 steps, improv/step: 0.264 (last = 0.1429), fitness=4.633702890
102.94 secs, 1363 evals, 1273 steps, improv/step: 0.263 (last = 0.1429), fitness=4.633702890
103.47 secs, 1370 evals, 1280 steps, improv/step: 0.263 (last = 0.1429), fitness=4.633702890
103.99 secs, 1377 evals, 1287 steps, improv/step: 0.263 (last = 0.2857), fitness=4.633702890
104.52 secs, 1384 evals, 1294 steps, improv/step: 0.262 (last = 0.1429), fitness=4.633702890
105.06 secs, 1391 evals, 1301 steps, improv/step: 0.261 (last = 0.1429), fitness=4.633702890
105.58 secs, 1398 evals, 1308 steps, improv/step: 0.262 (last = 0.4286), fitness=4.633702890
106.12 secs, 1405 evals, 1315 steps, improv/step: 0.262 (last = 0.1429), fitness=4.633702890
106.64 secs, 1412 evals, 1322 steps, improv/step: 0.262 (last = 0.2857), fitness=4.633702890
107.18 secs, 1419 evals, 1329 steps, improv/step: 0.260 (last = 0.0000), fitness=4.633702890
107.71 secs, 1426 evals, 1336 steps, improv/step: 0.260 (last = 0.2857), fitness=4.633702890
108.23 secs, 1433 evals, 1343 steps, improv/step: 0.261 (last = 0.2857), fitness=4.633702890
108.77 secs, 1440 evals, 1350 steps, improv/step: 0.261 (last = 0.2857), fitness=4.633702890
109.31 secs, 1447 evals, 1357 steps, improv/step: 0.260 (last = 0.1429), fitness=4.633702890
109.83 secs, 1454 evals, 1364 steps, improv/step: 0.259 (last = 0.0000), fitness=4.633702890
110.36 secs, 1461 evals, 1371 steps, improv/step: 0.259 (last = 0.2857), fitness=4.633702890
110.88 secs, 1468 evals, 1378 steps, improv/step: 0.259 (last = 0.2857), fitness=4.633702890
111.42 secs, 1475 evals, 1385 steps, improv/step: 0.258 (last = 0.1429), fitness=4.633702890
111.95 secs, 1482 evals, 1392 steps, improv/step: 0.258 (last = 0.1429), fitness=4.633702890
112.47 secs, 1489 evals, 1399 steps, improv/step: 0.259 (last = 0.4286), fitness=4.633702890
113.01 secs, 1496 evals, 1406 steps, improv/step: 0.259 (last = 0.2857), fitness=4.633702890
113.55 secs, 1503 evals, 1413 steps, improv/step: 0.258 (last = 0.0000), fitness=4.633702890
114.07 secs, 1510 evals, 1420 steps, improv/step: 0.258 (last = 0.4286), fitness=4.633702890
114.60 secs, 1517 evals, 1427 steps, improv/step: 0.259 (last = 0.4286), fitness=4.633702890
115.12 secs, 1524 evals, 1434 steps, improv/step: 0.259 (last = 0.1429), fitness=1.699938799
115.65 secs, 1531 evals, 1441 steps, improv/step: 0.258 (last = 0.1429), fitness=1.699938799
116.19 secs, 1538 evals, 1448 steps, improv/step: 0.258 (last = 0.2857), fitness=1.699938799
116.71 secs, 1545 evals, 1455 steps, improv/step: 0.258 (last = 0.1429), fitness=1.699938799
117.26 secs, 1552 evals, 1462 steps, improv/step: 0.259 (last = 0.4286), fitness=1.699938799
117.79 secs, 1559 evals, 1469 steps, improv/step: 0.259 (last = 0.2857), fitness=1.699938799
118.31 secs, 1566 evals, 1476 steps, improv/step: 0.258 (last = 0.1429), fitness=1.699938799
118.84 secs, 1573 evals, 1483 steps, improv/step: 0.258 (last = 0.2857), fitness=1.699938799
119.36 secs, 1580 evals, 1490 steps, improv/step: 0.258 (last = 0.2857), fitness=1.699938799
119.89 secs, 1587 evals, 1497 steps, improv/step: 0.258 (last = 0.1429), fitness=1.699938799
120.43 secs, 1594 evals, 1504 steps, improv/step: 0.258 (last = 0.2857), fitness=1.699938799
120.95 secs, 1601 evals, 1511 steps, improv/step: 0.257 (last = 0.1429), fitness=1.699938799
121.48 secs, 1608 evals, 1518 steps, improv/step: 0.257 (last = 0.1429), fitness=1.699938799
122.01 secs, 1615 evals, 1525 steps, improv/step: 0.258 (last = 0.4286), fitness=1.699938799
122.53 secs, 1622 evals, 1532 steps, improv/step: 0.257 (last = 0.1429), fitness=0.463954346
123.07 secs, 1629 evals, 1539 steps, improv/step: 0.257 (last = 0.2857), fitness=0.463954346

======================================================================================
Information request received. A stacktrace will print followed by a 1.0 second profile
======================================================================================

cmd: /opt/julia/bin/julia 51 running 1 of 1

signal (10): User defined signal 1
pthread_sigmask at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
sigprocmask at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
put_rs_cache at /opt/julia/bin/../lib/julia/libunwind.so.8 (unknown line)
find_reg_state at /opt/julia/bin/../lib/julia/libunwind.so.8 (unknown line)
_ULx86_64_dwarf_step at /opt/julia/bin/../lib/julia/libunwind.so.8 (unknown line)
_ULx86_64_step at /opt/julia/bin/../lib/julia/libunwind.so.8 (unknown line)
jl_unw_step at /source/src/stackwalk.c:559 [inlined]
jl_unw_stepn at /source/src/stackwalk.c:99
ijl_backtrace_from_here at /source/src/stackwalk.c:270
backtrace at ./error.jl:114
macro expansion at ./deprecated.jl:159 [inlined]
macro expansion at ./logging/logging.jl:399 [inlined]
_depwarn at ./deprecated.jl:155
unknown function (ip: 0x74cb86ad7220)
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
jl_apply at /source/src/julia.h:2157 [inlined]
jl_f__call_latest at /source/src/builtins.c:875
#invokelatest#2 at ./essentials.jl:1055 [inlined]
invokelatest at ./essentials.jl:1052 [inlined]
#depwarn#1188 at ./deprecated.jl:146 [inlined]
depwarn at ./deprecated.jl:141 [inlined]
getindex at ./deprecated.jl:104
L2Loss at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/src/cost_functions.jl:103
#29 at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/src/build_loss_objective.jl:18 [inlined]
#29 at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/src/build_loss_objective.jl:10 [inlined]
OptimizationFunction at /home/pkgeval/.julia/packages/SciMLBase/LGLmH/src/scimlfunctions.jl:4097 [inlined]
fitness at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/problem.jl:61 [inlined]
fitness at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/evaluator.jl:150
#update_fitness!#44 at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/evaluator.jl:26 [inlined]
update_fitness! at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/evaluator.jl:23 [inlined]
#update_fitness!#46 at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/evaluator.jl:45 [inlined]
update_fitness! at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/evaluator.jl:41 [inlined]
#update_fitness!#47 at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/evaluator.jl:51 [inlined]
update_fitness! at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/evaluator.jl:51 [inlined]
rank_by_fitness! at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/evaluator.jl:183
step! at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/opt_controller.jl:274 [inlined]
run! at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/opt_controller.jl:321
unknown function (ip: 0x74cb85e7b462)
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
run! at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/opt_controller.jl:470
unknown function (ip: 0x74cb85e799e2)
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
#bboptimize#120 at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/bboptimize.jl:93
bboptimize at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/bboptimize.jl:91 [inlined]
bboptimize at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/bboptimize.jl:91
unknown function (ip: 0x74cb86ab9cc6)
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
jl_apply at /source/src/julia.h:2157 [inlined]
do_call at /source/src/interpreter.c:126
eval_value at /source/src/interpreter.c:223
eval_stmt_value at /source/src/interpreter.c:174 [inlined]
eval_body at /source/src/interpreter.c:670
jl_interpret_toplevel_thunk at /source/src/interpreter.c:824
jl_toplevel_eval_flex at /source/src/toplevel.c:943
jl_toplevel_eval_flex at /source/src/toplevel.c:886
ijl_toplevel_eval_in at /source/src/toplevel.c:994
eval at ./boot.jl:430 [inlined]
include_string at ./loading.jl:2734
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
_include at ./loading.jl:2794
include at ./sysimg.jl:38 [inlined]
macro expansion at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/test/runtests.jl:5 [inlined]
macro expansion at /source/usr/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined]
macro expansion at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/test/runtests.jl:4 [inlined]
macro expansion at ./timing.jl:581 [inlined]
top-level scope at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/test/runtests.jl:315
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_invoke at /source/src/gf.c:2955
jl_toplevel_eval_flex at /source/src/toplevel.c:934
jl_toplevel_eval_flex at /source/src/toplevel.c:886
ijl_toplevel_eval_in at /source/src/toplevel.c:994
123.69 secs, 1635 evals, 1545 steps, improv/step: 0.257 (last = 0.1667), fitness=0.463954346
eval at ./boot.jl:430 [inlined]
include_string at ./loading.jl:2734
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
_include at ./loading.jl:2794
include at ./sysimg.jl:38
unknown function (ip: 0x74cba5a5b082)
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
jl_apply at /source/src/julia.h:2157 [inlined]
do_call at /source/src/interpreter.c:126
eval_value at /source/src/interpreter.c:223
eval_stmt_value at /source/src/interpreter.c:174 [inlined]
eval_body at /source/src/interpreter.c:670
jl_interpret_toplevel_thunk at /source/src/interpreter.c:824
jl_toplevel_eval_flex at /source/src/toplevel.c:943
jl_toplevel_eval_flex at /source/src/toplevel.c:886
ijl_toplevel_eval_in at /source/src/toplevel.c:994
eval at ./boot.jl:430 [inlined]
exec_options at ./client.jl:296
_start at ./client.jl:531
jfptr__start_73523.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
jl_apply at /source/src/julia.h:2157 [inlined]
true_main at /source/src/jlapi.c:900
jl_repl_entrypoint at /source/src/jlapi.c:1059
main at /source/cli/loader_exe.c:58
unknown function (ip: 0x74cba6ae0249)
__libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
unknown function (ip: 0x4010b8)
unknown function (ip: (nil))
124.24 secs, 1638 evals, 1548 steps, improv/step: 0.257 (last = 0.3333), fitness=0.463954346

==============================================================
Profile collected. A report will print at the next yield point
==============================================================

124.80 secs, 1645 evals, 1555 steps, improv/step: 0.256 (last = 0.0000), fitness=┌ Warning: There were no samples collected in one or more groups.
│ This may be due to idle threads, or you may need to run your
│ program longer (perhaps by running it multiple times),
│ or adjust the delay between samples with `Profile.init()`.
└ @ Profile /opt/julia/share/julia/stdlib/v1.11/Profile/src/Profile.jl:1240
0.463954346Overhead ╎ [+additional indent] Count File:Line; Function
=========================================================
Thread 1 Task 0x000074cb99400010 Total snapshots: 203. Utilization: 100%
  ╎202 @Base/client.jl:531; _start()
  ╎ 202 @Base/client.jl:296; exec_options(opts::Base.JLOptions)
  ╎  202 @Base/boot.jl:430; eval
  ╎   202 @Base/sysimg.jl:38; include(fname::String)
  ╎    202 @Base/loading.jl:2794; _include(mapexpr::Function, mod::Module, _pat…
  ╎     202 @Base/loading.jl:2734; include_string(mapexpr::typeof(identity), mo…
  ╎    ╎ 202 @Base/boot.jl:430; eval
  ╎    ╎  202 …tim/test/runtests.jl:315; top-level scope
  ╎    ╎   202 @Base/timing.jl:581; macro expansion
  ╎    ╎    202 …tim/test/runtests.jl:4; macro expansion
  ╎    ╎     202 @Test/src/Test.jl:1704; macro expansion
  ╎    ╎    ╎ 202 …im/test/runtests.jl:5; macro expansion
  ╎    ╎    ╎  202 @Base/sysimg.jl:38; include
  ╎    ╎    ╎   202 @Base/loading.jl:2794; _include(mapexpr::Function, mod::Mod…
  ╎    ╎    ╎    202 @Base/loading.jl:2734; include_string(mapexpr::typeof(iden…
  ╎    ╎    ╎     202 @Base/boot.jl:430; eval
  ╎    ╎    ╎    ╎ 202 …src/bboptimize.jl:91; kwcall(::@NamedTuple{SearchRange:…
  ╎    ╎    ╎    ╎  202 …rc/bboptimize.jl:91; bboptimize
  ╎    ╎    ╎    ╎   202 …rc/bboptimize.jl:93; bboptimize(functionOrProblem::Fu…
  ╎    ╎    ╎    ╎    202 …t_controller.jl:470; run!(oc::BlackBoxOptim.OptContr…
  ╎    ╎    ╎    ╎     1   …t_controller.jl:317; run!(ctrl::BlackBoxOptim.OptRu…
  ╎    ╎    ╎    ╎    ╎ 1   …_controller.jl:264; trace_progress(ctrl::BlackBoxO…
  ╎    ╎    ╎    ╎    ╎  1   …_controller.jl:120; trace
  ╎    ╎    ╎    ╎    ╎   1   …controller.jl:121; trace
  ╎    ╎    ╎    ╎    ╎    1   @Base/coreio.jl:3; print(xs::String)
  ╎    ╎    ╎    ╎    ╎     1   …strings/io.jl:250; print(io::Base.PipeEndpoint…
  ╎    ╎    ╎    ╎    ╎    ╎ 1   …trings/io.jl:248; write
  ╎    ╎    ╎    ╎    ╎    ╎  1   …e/stream.jl:1154; unsafe_write(s::Base.PipeE…
  ╎    ╎    ╎    ╎    ╎    ╎   1   …e/stream.jl:1081; uv_write(s::Base.PipeEndp…
  ╎    ╎    ╎    ╎    ╎    ╎    1   …ase/task.jl:1021; wait()
 1╎    ╎    ╎    ╎    ╎    ╎     1   …ase/task.jl:1012; poptask(W::Base.Intrusi…
  ╎    ╎    ╎    ╎     201 …t_controller.jl:321; run!(ctrl::BlackBoxOptim.OptRu…
  ╎    ╎    ╎    ╎    ╎ 201 …_controller.jl:274; step!
  ╎    ╎    ╎    ╎    ╎  201 …c/evaluator.jl:183; rank_by_fitness!(e::BlackBoxO…
  ╎    ╎    ╎    ╎    ╎   201 …c/evaluator.jl:51; update_fitness!
  ╎    ╎    ╎    ╎    ╎    201 …/evaluator.jl:51; #update_fitness!#47
  ╎    ╎    ╎    ╎    ╎     201 …/evaluator.jl:41; update_fitness!
  ╎    ╎    ╎    ╎    ╎    ╎ 201 …/evaluator.jl:45; #update_fitness!#46
  ╎    ╎    ╎    ╎    ╎    ╎  201 …evaluator.jl:23; update_fitness!
  ╎    ╎    ╎    ╎    ╎    ╎   201 …evaluator.jl:26; #update_fitness!#44
  ╎    ╎    ╎    ╎    ╎    ╎    201 …valuator.jl:150; fitness(params::Vector{Fl…
  ╎    ╎    ╎    ╎    ╎    ╎     201 …/problem.jl:61; fitness
  ╎    ╎    ╎    ╎    ╎    ╎    ╎ 201 …unctions.jl:4097; OptimizationFunction
  ╎    ╎    ╎    ╎    ╎    ╎    ╎  201 …bjective.jl:10; #29
  ╎    ╎    ╎    ╎    ╎    ╎    ╎   1   …bjective.jl:12; #29
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    1   …rc/solve.jl:1047; solve
  ╎    ╎    ╎    ╎    ╎    ╎    ╎     1   …rc/solve.jl:1057; #solve#42
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ 1   …rc/solve.jl:1120; solve_up
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  1   …rc/solve.jl:1142; #solve_up#44
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎   1   …rc/solve.jl:592; solve_call
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎    1   …rc/solve.jl:635; solve_call(_pro…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎     1   …rc/solve.jl:1; __solve
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +1 1   …rc/solve.jl:7; #__solve#62
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +2 1   …rc/solve.jl:621; solve!(integra…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +3 1   …or_utils.jl:207; loopfooter!
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +4 1   …or_utils.jl:243; _loopfooter!(i…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 1   …or_utils.jl:359; handle_callbac…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 1   …or_utils.jl:58; savevalues!
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 1   …or_utils.jl:58; savevalues!
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +8 1   …or_utils.jl:73; _savevalues!(in…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +9 1   …ic_dense.jl:143; ode_interpolant
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ +10 1   …ic_dense.jl:961; ode_interpolant
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ +11 1   …rpolants.jl:79; _ode_interpolan…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ +12 1   …simdloop.jl:77; macro expansion
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ +13 1   …rpolants.jl:80; macro expansion
 1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ +14 1   …sentials.jl:917; getindex
  ╎    ╎    ╎    ╎    ╎    ╎    ╎   200 …bjective.jl:18; #29
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    96  …unctions.jl:103; (::L2Loss{Vector{Flo…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎     96  …precated.jl:104; getindex(A::ODESolu…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ 96  …precated.jl:141; depwarn
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  96  …precated.jl:146; #depwarn#1188
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎   96  …sentials.jl:1052; invokelatest
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎    96  …sentials.jl:1055; #invokelatest#2
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎     96  …precated.jl:155; _depwarn(msg::…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +1 94  …/logging.jl:399; macro expansion
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +2 49  …precated.jl:159; macro expansion
44╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +3 44  …se/error.jl:114; backtrace()
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +3 5   …se/error.jl:115; backtrace()
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +4 1   …se/error.jl:0; _reformat_bt(bt:…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +4 4   …se/error.jl:79; _reformat_bt(bt…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 2   …se/array.jl:1261; push!
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 2   …se/array.jl:1116; _growend!
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 2   …se/array.jl:1129; (::Base.var"#…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +8 2   …se/array.jl:1058; array_new_mem…
 2╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +9 2   …ase/boot.jl:516; GenericMemory
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 2   …se/array.jl:1262; push!
 2╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 2   …se/array.jl:1001; __safe_setind…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +2 45  …precated.jl:160; macro expansion
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +3 45  …precated.jl:180; firstcaller
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +4 45  …precated.jl:185; firstcaller
40╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 40  …cktraces.jl:108; lookup(pointer…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 1   …cktraces.jl:113; lookup(pointer…
 1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 1   …sentials.jl:932; getindex
 4╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 4   …cktraces.jl:115; lookup(pointer…
 1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +1 1   …/logging.jl:402; macro expansion
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +1 1   …/logging.jl:405; macro expansion
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +2 1   …sentials.jl:1052; invokelatest
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +3 1   …sentials.jl:1055; #invokelatest…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +4 1   …leLogger.jl:47; shouldlog(logge…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 1   …ase/dict.jl:503; get
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 1   …ase/dict.jl:240; ht_keyindex(h:…
 1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 1   …ase/Base.jl:49; getproperty
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    104 …unctions.jl:112; (::L2Loss{Vector{Flo…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎     104 …precated.jl:104; getindex(A::ODESolu…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ 104 …precated.jl:141; depwarn
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  104 …precated.jl:146; #depwarn#1188
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎   104 …sentials.jl:1052; invokelatest
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎    104 …sentials.jl:1055; #invokelatest#2
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎     104 …precated.jl:155; _depwarn(msg::…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +1 103 …/logging.jl:399; macro expansion
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +2 49  …precated.jl:159; macro expansion
46╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +3 46  …se/error.jl:114; backtrace()
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +3 3   …se/error.jl:115; backtrace()
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +4 3   …se/error.jl:79; _reformat_bt(bt…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 1   …se/array.jl:1261; push!
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 1   …se/array.jl:1116; _growend!
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 1   …se/array.jl:1129; (::Base.var"#…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +8 1   …se/array.jl:1058; array_new_mem…
 1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +9 1   …ase/boot.jl:516; GenericMemory
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 2   …se/array.jl:1262; push!
 2╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 2   …se/array.jl:1001; __safe_setind…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +2 54  …precated.jl:160; macro expansion
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +3 54  …precated.jl:180; firstcaller
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +4 54  …precated.jl:185; firstcaller
47╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 47  …cktraces.jl:108; lookup(pointer…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 1   …cktraces.jl:111; lookup(pointer…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 1   …ase/boot.jl:578; Array
 1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 1   …ase/boot.jl:516; GenericMemory
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 1   …cktraces.jl:113; lookup(pointer…
 1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 1   …sentials.jl:932; getindex
 4╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 5   …cktraces.jl:115; lookup(pointer…
 1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 1   …sentials.jl:932; getindex
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +1 1   …/logging.jl:400; macro expansion
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +2 1   …/logging.jl:338; current_logger…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +3 1   …/logging.jl:518; current_logsta…
 1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +4 1   …edvalues.jl:152; get


127.19 secs, 1646 evals, 1556 steps, improv/step: 0.256 (last = 0.0000), fitness=0.463954346
127.73 secs, 1653 evals, 1563 steps, improv/step: 0.255 (last = 0.1429), fitness=0.463954346
128.27 secs, 1660 evals, 1570 steps, improv/step: 0.254 (last = 0.0000), fitness=0.463954346
128.78 secs, 1666 evals, 1576 steps, improv/step: 0.253 (last = 0.0000), fitness=0.463954346
129.30 secs, 1673 evals, 1583 steps, improv/step: 0.252 (last = 0.0000), fitness=0.463954346
129.83 secs, 1680 evals, 1590 steps, improv/step: 0.252 (last = 0.1429), fitness=0.463954346
130.37 secs, 1687 evals, 1597 steps, improv/step: 0.251 (last = 0.1429), fitness=0.463954346
130.90 secs, 1694 evals, 1604 steps, improv/step: 0.250 (last = 0.0000), fitness=0.463954346
131.44 secs, 1701 evals, 1611 steps, improv/step: 0.250 (last = 0.1429), fitness=0.463954346
131.97 secs, 1708 evals, 1618 steps, improv/step: 0.250 (last = 0.2857), fitness=0.463954346
132.49 secs, 1715 evals, 1625 steps, improv/step: 0.249 (last = 0.1429), fitness=0.463954346
133.02 secs, 1722 evals, 1632 steps, improv/step: 0.248 (last = 0.0000), fitness=0.463954346

======================================================================================
Information request received. A stacktrace will print followed by a 1.0 second profile
======================================================================================

cmd: /opt/julia/bin/julia 1 running 0 of 1

signal (10): User defined signal 1
epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404
uv_run at /workspace/srcdir/libuv/src/unix/core.c:430
ijl_task_get_next at /source/src/scheduler.c:522
133.53 secs, 1728 evals, 1638 steps, improv/step: 0.248 (last = 0.1667), fitness=0.463954346
poptask at ./task.jl:1012
wait at ./task.jl:1021
#wait#731 at ./condition.jl:130
wait at ./condition.jl:125 [inlined]
wait at ./process.jl:694
wait at ./process.jl:687
unknown function (ip: 0x709e5a370992)
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
subprocess_handler at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2142
#131 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2082
withenv at ./env.jl:265
#118 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1931
with_temp_env at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1789
#116 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1898
#mktempdir#28 at ./file.jl:819
unknown function (ip: 0x709e5a35c7dd)
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
mktempdir at ./file.jl:815
mktempdir at ./file.jl:815 [inlined]
#sandbox#115 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1845 [inlined]
sandbox at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1837
unknown function (ip: 0x709e5a350d9a)
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
#test#128 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2063
test at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2007 [inlined]
#test#146 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:481
test at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:460
unknown function (ip: 0x709e5a350a9d)
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
#test#77 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:159
unknown function (ip: 0x709e5a35048d)
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
test at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:148
#test#75 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:147 [inlined]
test at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:147 [inlined]
#test#74 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:146 [inlined]
test at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:146
unknown function (ip: 0x709e5a34c936)
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
jl_apply at /source/src/julia.h:2157 [inlined]
do_call at /source/src/interpreter.c:126
eval_value at /source/src/interpreter.c:223
eval_stmt_value at /source/src/interpreter.c:174 [inlined]
eval_body at /source/src/interpreter.c:670
eval_body at /source/src/interpreter.c:539
eval_body at /source/src/interpreter.c:539
jl_interpret_toplevel_thunk at /source/src/interpreter.c:824
jl_toplevel_eval_flex at /source/src/toplevel.c:943
jl_toplevel_eval_flex at /source/src/toplevel.c:886
ijl_toplevel_eval_in at /source/src/toplevel.c:994
eval at ./boot.jl:430 [inlined]
include_string at ./loading.jl:2734
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
_include at ./loading.jl:2794
include at ./Base.jl:557
134.03 secs, 1731 evals, 1641 steps, improv/step: 0.249 (last = 0.6667), fitness=0.463954346
jfptr_include_46977.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
exec_options at ./client.jl:323
_start at ./client.jl:531
jfptr__start_73523.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
jl_apply at /source/src/julia.h:2157 [inlined]
true_main at /source/src/jlapi.c:900
jl_repl_entrypoint at /source/src/jlapi.c:1059
main at /source/cli/loader_exe.c:58
unknown function (ip: 0x709e5b6be249)
__libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
unknown function (ip: 0x4010b8)
unknown function (ip: (nil))

==============================================================
Profile collected. A report will print at the next yield point
==============================================================

134.67 secs, 1735 evals, 1645 steps, improv/step: 0.249 (last = 0.2500), fitness=0.463954346
135.31 secs, 1739 evals, 1649 steps, improv/step: 0.249 (last = 0.5000), fitness=0.463954346
135.96 secs, 1743 evals, 1653 steps, improv/step: 0.250 (last = 0.5000), fitness=0.463954346
┌ Warning: There were no samples collected in one or more groups.
│ This may be due to idle threads, or you may need to run your
│ program longer (perhaps by running it multiple times),
│ or adjust the delay between samples with `Profile.init()`.
└ @ Profile /opt/julia/share/julia/stdlib/v1.11/Profile/src/Profile.jl:1240
Overhead ╎ [+additional indent] Count File:Line; Function
=========================================================
Thread 1 Task 0x0000709e4e000010 Total snapshots: 9. Utilization: 0%
 ╎9 @Base/client.jl:531; _start()
 ╎ 9 @Base/client.jl:323; exec_options(opts::Base.JLOptions)
 ╎  9 @Base/Base.jl:557; include(mod::Module, _path::String)
 ╎   9 @Base/loading.jl:2794; _include(mapexpr::Function, mod::Module, _path::S…
 ╎    9 @Base/loading.jl:2734; include_string(mapexpr::typeof(identity), mod::M…
 ╎     9 @Base/boot.jl:430; eval
 ╎    ╎ 9 @Pkg/src/API.jl:146; kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(…
 ╎    ╎  9 @Pkg/src/API.jl:146; #test#74
 ╎    ╎   9 @Pkg/src/API.jl:147; test
 ╎    ╎    9 @Pkg/src/API.jl:147; #test#75
 ╎    ╎     9 @Pkg/src/API.jl:148; kwcall(::@NamedTuple{julia_args::Cmd}, ::typ…
 ╎    ╎    ╎ 9 @Pkg/src/API.jl:159; test(pkgs::Vector{Pkg.Types.PackageSpec}; i…
 ╎    ╎    ╎  9 @Pkg/src/API.jl:460; kwcall(::@NamedTuple{julia_args::Cmd, io::…
 ╎    ╎    ╎   9 @Pkg/src/API.jl:481; test(ctx::Pkg.Types.Context, pkgs::Vector…
 ╎    ╎    ╎    9 …/src/Operations.jl:2007; test
 ╎    ╎    ╎     9 …src/Operations.jl:2063; test(ctx::Pkg.Types.Context, pkgs::…
 ╎    ╎    ╎    ╎ 9 …src/Operations.jl:1837; kwcall(::@NamedTuple{preferences::…
 ╎    ╎    ╎    ╎  9 …src/Operations.jl:1845; #sandbox#115
 ╎    ╎    ╎    ╎   9 @Base/file.jl:815; mktempdir
 ╎    ╎    ╎    ╎    9 @Base/file.jl:815; mktempdir(fn::Function, parent::Strin…
 ╎    ╎    ╎    ╎     9 @Base/file.jl:819; mktempdir(fn::Pkg.Operations.var"#11…
 ╎    ╎    ╎    ╎    ╎ 9 …c/Operations.jl:1898; (::Pkg.Operations.var"#116#121"…
 ╎    ╎    ╎    ╎    ╎  9 …c/Operations.jl:1789; with_temp_env(fn::Pkg.Operatio…
 ╎    ╎    ╎    ╎    ╎   9 …/Operations.jl:1931; (::Pkg.Operations.var"#118#123…
 ╎    ╎    ╎    ╎    ╎    9 @Base/env.jl:265; withenv(::Pkg.Operations.var"#131…
 ╎    ╎    ╎    ╎    ╎     9 …Operations.jl:2082; (::Pkg.Operations.var"#131#13…
 ╎    ╎    ╎    ╎    ╎    ╎ 9 …Operations.jl:2142; subprocess_handler(cmd::Cmd,…
 ╎    ╎    ╎    ╎    ╎    ╎  9 …se/process.jl:687; wait(x::Base.Process)
 ╎    ╎    ╎    ╎    ╎    ╎   9 …se/process.jl:694; wait(x::Base.Process, syncd…
 ╎    ╎    ╎    ╎    ╎    ╎    9 …condition.jl:125; wait
 ╎    ╎    ╎    ╎    ╎    ╎     9 …condition.jl:130; wait(c::Base.GenericCondit…
 ╎    ╎    ╎    ╎    ╎    ╎    ╎ 9 …ase/task.jl:1021; wait()
8╎    ╎    ╎    ╎    ╎    ╎    ╎  9 …ase/task.jl:1012; poptask(W::Base.Intrusiv…

136.57 secs, 1747 evals, 1657 steps, improv/step: 0.249 (last = 0.0000), fitness=0.463954346
137.10 secs, 1754 evals, 1664 steps, improv/step: 0.249 (last = 0.1429), fitness=0.463954346
137.62 secs, 1761 evals, 1671 steps, improv/step: 0.250 (last = 0.4286), fitness=0.463954346
138.15 secs, 1768 evals, 1678 steps, improv/step: 0.249 (last = 0.1429), fitness=0.463954346
138.68 secs, 1775 evals, 1685 steps, improv/step: 0.249 (last = 0.1429), fitness=0.463954346
139.21 secs, 1782 evals, 1692 steps, improv/step: 0.248 (last = 0.1429), fitness=0.463954346
139.73 secs, 1789 evals, 1699 steps, improv/step: 0.248 (last = 0.1429), fitness=0.463954346
140.25 secs, 1796 evals, 1706 steps, improv/step: 0.247 (last = 0.0000), fitness=0.463954346
140.79 secs, 1803 evals, 1713 steps, improv/step: 0.247 (last = 0.2857), fitness=0.463954346
141.32 secs, 1810 evals, 1720 steps, improv/step: 0.246 (last = 0.0000), fitness=0.463954346
141.84 secs, 1817 evals, 1727 steps, improv/step: 0.245 (last = 0.0000), fitness=0.463954346
142.37 secs, 1824 evals, 1734 steps, improv/step: 0.244 (last = 0.0000), fitness=0.463954346
142.90 secs, 1831 evals, 1741 steps, improv/step: 0.244 (last = 0.2857), fitness=0.463954346

[1] signal 15: Terminated
in expression starting at /PkgEval.jl/scripts/evaluate.jl:210
epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)

[51] signal 15: Terminated
in expression starting at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/test/tests_on_odes/l2loss_test.jl:28
pthread_sigmask at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
sigprocmask at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
put_rs_cache at /opt/julia/bin/../lib/julia/libunwind.so.8 (unknown line)
find_reg_state at /opt/julia/bin/../lib/julia/libunwind.so.8 (unknown line)
_ULx86_64_dwarf_step at /opt/julia/bin/../lib/julia/libunwind.so.8 (unknown line)
_ULx86_64_step at /opt/julia/bin/../lib/julia/libunwind.so.8 (unknown line)
uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404
uv_run at /workspace/srcdir/libuv/src/unix/core.c:430
ijl_task_get_next at /source/src/scheduler.c:522
jl_unw_step at /source/src/stackwalk.c:559 [inlined]
jl_unw_stepn at /source/src/stackwalk.c:99
ijl_backtrace_from_here at /source/src/stackwalk.c:270
poptask at ./task.jl:1012
backtrace at ./error.jl:114
macro expansion at ./deprecated.jl:159 [inlined]
macro expansion at ./logging/logging.jl:399 [inlined]
_depwarn at ./deprecated.jl:155
unknown function (ip: 0x74cb86ad7220)
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
jl_apply at /source/src/julia.h:2157 [inlined]
jl_f__call_latest at /source/src/builtins.c:875
#invokelatest#2 at ./essentials.jl:1055 [inlined]
invokelatest at ./essentials.jl:1052 [inlined]
#depwarn#1188 at ./deprecated.jl:146 [inlined]
depwarn at ./deprecated.jl:141 [inlined]
getindex at ./deprecated.jl:104
L2Loss at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/src/cost_functions.jl:103
#29 at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/src/build_loss_objective.jl:18 [inlined]
#29 at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/src/build_loss_objective.jl:10 [inlined]
OptimizationFunction at /home/pkgeval/.julia/packages/SciMLBase/LGLmH/src/scimlfunctions.jl:4097 [inlined]
fitness at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/problem.jl:61 [inlined]
fitness at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/evaluator.jl:150
#update_fitness!#44 at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/evaluator.jl:26 [inlined]
update_fitness! at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/evaluator.jl:23 [inlined]
#update_fitness!#46 at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/evaluator.jl:45 [inlined]
update_fitness! at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/evaluator.jl:41 [inlined]
#update_fitness!#47 at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/evaluator.jl:51 [inlined]
update_fitness! at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/evaluator.jl:51 [inlined]
rank_by_fitness! at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/evaluator.jl:183
step! at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/opt_controller.jl:274 [inlined]
run! at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/opt_controller.jl:321
unknown function (ip: 0x74cb85e7b462)
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
run! at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/opt_controller.jl:470
unknown function (ip: 0x74cb85e799e2)
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
#bboptimize#120 at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/bboptimize.jl:93
bboptimize at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/bboptimize.jl:91 [inlined]
bboptimize at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/bboptimize.jl:91
unknown function (ip: 0x74cb86ab9cc6)
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
jl_apply at /source/src/julia.h:2157 [inlined]
do_call at /source/src/interpreter.c:126
eval_value at /source/src/interpreter.c:223
eval_stmt_value at /source/src/interpreter.c:174 [inlined]
eval_body at /source/src/interpreter.c:670
jl_interpret_toplevel_thunk at /source/src/interpreter.c:824
jl_toplevel_eval_flex at /source/src/toplevel.c:943
wait at ./task.jl:1021
jl_toplevel_eval_flex at /source/src/toplevel.c:886
ijl_toplevel_eval_in at /source/src/toplevel.c:994
#wait#731 at ./condition.jl:130
eval at ./boot.jl:430 [inlined]
include_string at ./loading.jl:2734
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
wait at ./condition.jl:125 [inlined]
_trywait at ./asyncevent.jl:145
_include at ./loading.jl:2794
include at ./sysimg.jl:38 [inlined]
macro expansion at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/test/runtests.jl:5 [inlined]
macro expansion at /source/usr/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined]
macro expansion at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/test/runtests.jl:4 [inlined]
macro expansion at ./timing.jl:581 [inlined]
top-level scope at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/test/runtests.jl:315
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_invoke at /source/src/gf.c:2955
jl_toplevel_eval_flex at /source/src/toplevel.c:934
jl_toplevel_eval_flex at /source/src/toplevel.c:886
ijl_toplevel_eval_in at /source/src/toplevel.c:994
profile_printing_listener at ./Base.jl:577
eval at ./boot.jl:430 [inlined]
include_string at ./loading.jl:2734
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
#1190 at ./Base.jl:617
_include at ./loading.jl:2794
include at ./sysimg.jl:38
unknown function (ip: 0x74cba5a5b082)
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
jl_apply at /source/src/julia.h:2157 [inlined]
do_call at /source/src/interpreter.c:126
eval_value at /source/src/interpreter.c:223
eval_stmt_value at /source/src/interpreter.c:174 [inlined]
eval_body at /source/src/interpreter.c:670
jl_interpret_toplevel_thunk at /source/src/interpreter.c:824
jfptr_YY.1190_76096.1 at /opt/julia/lib/julia/sys.so (unknown line)
jl_toplevel_eval_flex at /source/src/toplevel.c:943
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
jl_toplevel_eval_flex at /source/src/toplevel.c:886
ijl_toplevel_eval_in at /source/src/toplevel.c:994
jl_apply at /source/src/julia.h:2157 [inlined]
start_task at /source/src/task.c:1202
unknown function (ip: (nil))
Allocations: 21312108 (Pool: 21310503; Big: 1605); GC: 21
val already in a list
atexit hook threw an error: ErrorException("schedule: Task not runnable")
eval at ./boot.jl:430 [inlined]
exec_options at ./client.jl:296
error at ./error.jl:35
_start at ./client.jl:531
#schedule#761 at ./task.jl:884
jfptr__start_73523.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
jl_apply at /source/src/julia.h:2157 [inlined]
true_main at /source/src/jlapi.c:900
jl_repl_entrypoint at /source/src/jlapi.c:1059
main at /source/cli/loader_exe.c:58
unknown function (ip: 0x74cba6ae0249)
__libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
unknown function (ip: 0x4010b8)
unknown function (ip: (nil))
Allocations: 1408971474 (Pool: 1408969699; Big: 1775); GC: 2162
schedule at ./task.jl:876 [inlined]
uv_writecb_task at ./stream.jl:1200
jfptr_uv_writecb_task_67080.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
jlcapi_uv_writecb_task_67543.1 at /opt/julia/lib/julia/sys.so (unknown line)
uv__write_callbacks at /workspace/srcdir/libuv/src/unix/stream.c:926
uv__stream_io at /workspace/srcdir/libuv/src/unix/stream.c:1227
uv__run_pending at /workspace/srcdir/libuv/src/unix/core.c:824
uv_run at /workspace/srcdir/libuv/src/unix/core.c:420
ijl_task_get_next at /source/src/scheduler.c:522
poptask at ./task.jl:1012
wait at ./task.jl:1021
uv_write at ./stream.jl:1081
unsafe_write at ./stream.jl:1154
write at ./strings/io.jl:248 [inlined]
print at ./strings/io.jl:250
jfptr_print_48429.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
showerror at ./errorshow.jl:152
unknown function (ip: 0x709e5a373006)
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
_atexit at ./initdefs.jl:462
jfptr__atexit_69596.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:2948 [inlined]
ijl_apply_generic at /source/src/gf.c:3125
jl_apply at /source/src/julia.h:2157 [inlined]
ijl_atexit_hook at /source/src/init.c:271
jl_exit_thread0_cb at /source/src/signals-unix.c:517

PkgEval terminated after 2723.07s: test duration exceeded the time limit