Package evaluation to test DiffEqParamEstim on Julia 1.13.0-DEV.1290 (92af0d8cdf*) started at 2025-10-09T20:15:30.772


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

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 11.0s


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

Installing DiffEqParamEstim...
   Resolving package versions...
    Updating `~/.julia/environments/v1.13/Project.toml`
  [1130ab10] + DiffEqParamEstim v2.2.0
    Updating `~/.julia/environments/v1.13/Manifest.toml`
  [47edcb42] + ADTypes v1.18.0
  [7d9f7c33] + Accessors v0.1.42
  [79e6a3ab] + Adapt v4.4.0
  [66dad0bd] + AliasTables v1.1.3
  [4fba245c] + ArrayInterface v7.20.0
  [62783981] + BitTwiddlingConvenienceFunctions v0.1.6
  [2a0fbf3d] + CPUSummary v0.2.7
  [49dc2e85] + Calculus v0.5.2
  [fb6a15b2] + CloseOpenIntervals v0.1.13
  [38540f10] + CommonSolve v0.2.4
  [f70d9fcc] + CommonWorldInvalidations v1.0.0
  [34da2185] + Compat v4.18.1
  [a33af91c] + CompositionsBase v0.1.2
  [2569d6c7] + ConcreteStructs v0.2.3
  [187b0558] + ConstructionBase v1.6.0
  [adafc99b] + CpuId v0.3.1
  [9a962f9c] + DataAPI v1.16.0
  [864edb3b] + DataStructures v0.19.1
  [39dd38d3] + Dierckx v0.5.4
  [2b5f629d] + DiffEqBase v6.190.2
  [1130ab10] + DiffEqParamEstim v2.2.0
  [31c24e10] + Distributions v0.25.122
  [ffbed154] + DocStringExtensions v0.9.5
  [4e289a0a] + EnumX v1.0.5
  [f151be2c] + EnzymeCore v0.8.14
  [e2ba6199] + ExprTools v0.1.10
  [55351af7] + ExproniconLite v0.10.14
  [7034ab61] + FastBroadcast v0.3.5
  [9aa1b823] + FastClosures v0.3.2
  [a4df4552] + FastPower v1.1.3
  [1a297f60] + FillArrays v1.14.0
  [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 v1.7.1
  [ae98c720] + Jieko v0.2.1
  [10f19ff3] + LayoutPointers v0.1.17
  [2ab3a3ac] + LogExpFunctions v0.3.29
  [1914dd2f] + MacroTools v0.5.16
  [d125e4d3] + ManualMemory v0.1.8
  [e1d29d7a] + Missings v1.2.0
  [2e0e35c7] + Moshi v0.3.7
  [46d2c3a1] + MuladdMacro v0.2.4
  [bac558e1] + OrderedCollections v1.8.1
  [90014a1f] + PDMats v0.11.35
  [06bb1623] + PenaltyFunctions v0.3.0
  [f517fe37] + Polyester v0.7.18
  [1d0040c9] + PolyesterWeave v0.2.2
  [d236fae5] + PreallocationTools v0.4.34
  [aea7be01] + PrecompileTools v1.3.3
  [21216c6a] + Preferences v1.5.0
  [43287f4e] + PtrArrays v1.3.0
  [1fd47b50] + QuadGK v2.11.2
  [3cdcf5f2] + RecipesBase v1.3.4
  [731186ca] + RecursiveArrayTools v3.37.1
  [189a3867] + Reexport v1.2.2
  [ae029012] + Requires v1.3.1
  [79098fc4] + Rmath v0.8.0
  [7e49a35a] + RuntimeGeneratedFunctions v0.5.15
  [94e857df] + SIMDTypes v0.1.0
  [0bca4576] + SciMLBase v2.120.0
  [c0aeaf25] + SciMLOperators v1.7.2
  [431bcebd] + SciMLPublic v1.0.0
  [53ae85a6] + SciMLStructures v1.7.0
  [efcf1570] + Setfield v1.1.2
  [a2af1166] + SortingAlgorithms v1.2.2
  [276daf66] + SpecialFunctions v2.6.1
  [aedffcd0] + Static v1.3.0
  [0d7ed370] + StaticArrayInterface v1.8.0
  [1e83bf80] + StaticArraysCore v1.4.3
  [10745b16] + Statistics v1.11.1
  [82ae8749] + StatsAPI v1.7.1
  [2913bbd2] + StatsBase v0.34.6
  [4c63d2b9] + StatsFuns v1.5.0
  [7792a7ef] + StrideArraysCore v0.5.8
  [2efcf032] + SymbolicIndexingInterface v0.3.45
  [8290d209] + ThreadingUtilities v0.5.5
  [781d530d] + TruncatedStacktraces v1.4.0
  [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
  [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0
  [8f399da3] + Libdl v1.11.0
  [37e2e46d] + LinearAlgebra v1.13.0
  [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 v1.13.0
  [f489334b] + StyledStrings v1.11.0
  [4607b0f0] + SuiteSparse
  [fa267f1f] + TOML v1.0.3
  [cf7118a7] + UUIDs v1.11.0
  [4ec0a83e] + Unicode v1.11.0
  [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1
  [4536629a] + OpenBLAS_jll v0.3.29+0
  [05823500] + OpenLibm_jll v0.8.7+0
  [bea87d4a] + SuiteSparse_jll v7.10.1+0
  [8e850b90] + libblastrampoline_jll v5.15.0+0

Installation completed after 6.57s


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# Precompilation
#

Precompiling PkgEval dependencies...

Precompiling package dependencies...

Precompilation completed after 215.36s


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# Testing
#

     Testing DiffEqParamEstim
      Status `/tmp/jl_ydlmz0/Project.toml`
  [a134a8b2] BlackBoxOptim v0.6.3
  [49dc2e85] Calculus v0.5.2
  [bcd4f6db] DelayDiffEq v5.61.0
  [39dd38d3] Dierckx v0.5.4
  [2b5f629d] DiffEqBase v6.190.2
  [1130ab10] DiffEqParamEstim v2.2.0
  [31c24e10] Distributions v0.25.122
⌅ [f6369f11] ForwardDiff v0.10.39
  [76087f3c] NLopt v1.2.1
  [429524aa] Optim v1.13.2
  [7f7a1694] Optimization v4.8.0
⌃ [3e6eede4] OptimizationBBO v0.4.2
⌃ [4e6fcdb7] OptimizationNLopt v0.3.4
⌃ [36348300] OptimizationOptimJL v0.4.5
  [1dea7af3] OrdinaryDiffEq v6.102.1
  [65888b18] ParameterizedFunctions v5.19.0
  [06bb1623] PenaltyFunctions v0.3.0
  [d236fae5] PreallocationTools v0.4.34
  [731186ca] RecursiveArrayTools v3.37.1
  [0bca4576] SciMLBase v2.120.0
  [1ed8b502] SciMLSensitivity v7.90.0
  [9672c7b4] SteadyStateDiffEq v2.7.0
  [789caeaf] StochasticDiffEq v6.82.0
  [c3572dad] Sundials v5.1.0
  [e88e6eb3] Zygote v0.7.10
  [37e2e46d] LinearAlgebra v1.13.0
  [9a3f8284] Random v1.11.0
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_ydlmz0/Manifest.toml`
  [47edcb42] ADTypes v1.18.0
  [621f4979] AbstractFFTs v1.5.0
  [1520ce14] AbstractTrees v0.4.5
  [7d9f7c33] Accessors v0.1.42
  [79e6a3ab] Adapt v4.4.0
  [66dad0bd] AliasTables v1.1.3
  [ec485272] ArnoldiMethod v0.4.0
  [4fba245c] ArrayInterface v7.20.0
  [4c555306] ArrayLayouts v1.12.0
  [a9b6321e] Atomix v1.1.2
  [e2ed5e7c] Bijections v0.2.2
  [62783981] BitTwiddlingConvenienceFunctions v0.1.6
  [a134a8b2] BlackBoxOptim v0.6.3
  [8e7c35d0] BlockArrays v1.7.2
  [70df07ce] BracketingNonlinearSolve v1.5.0
  [fa961155] CEnum v0.5.0
  [2a0fbf3d] CPUSummary v0.2.7
  [a9c8d775] CPUTime v1.0.0
  [49dc2e85] Calculus v0.5.2
  [7057c7e9] Cassette v0.3.14
  [082447d4] ChainRules v1.72.6
  [d360d2e6] ChainRulesCore v1.26.0
  [fb6a15b2] CloseOpenIntervals v0.1.13
⌅ [861a8166] Combinatorics v1.0.2
  [a80b9123] CommonMark v0.9.1
  [38540f10] CommonSolve v0.2.4
  [bbf7d656] CommonSubexpressions v0.3.1
  [f70d9fcc] CommonWorldInvalidations v1.0.0
  [34da2185] Compat v4.18.1
  [b152e2b5] CompositeTypes v0.1.4
  [a33af91c] CompositionsBase v0.1.2
  [2569d6c7] ConcreteStructs v0.2.3
  [88cd18e8] ConsoleProgressMonitor v0.1.2
  [187b0558] ConstructionBase v1.6.0
  [adafc99b] CpuId v0.3.1
  [9a962f9c] DataAPI v1.16.0
  [864edb3b] DataStructures v0.19.1
  [e2d170a0] DataValueInterfaces v1.0.0
  [bcd4f6db] DelayDiffEq v5.61.0
  [39dd38d3] Dierckx v0.5.4
  [2b5f629d] DiffEqBase v6.190.2
  [459566f4] DiffEqCallbacks v4.10.0
  [77a26b50] DiffEqNoiseProcess v5.24.1
  [1130ab10] DiffEqParamEstim v2.2.0
  [163ba53b] DiffResults v1.1.0
  [b552c78f] DiffRules v1.15.1
  [a0c0ee7d] DifferentiationInterface v0.7.8
  [8d63f2c5] DispatchDoctor v0.4.26
  [b4f34e82] Distances v0.10.12
  [31c24e10] Distributions v0.25.122
  [ffbed154] DocStringExtensions v0.9.5
  [5b8099bc] DomainSets v0.7.16
  [7c1d4256] DynamicPolynomials v0.6.4
  [06fc5a27] DynamicQuantities v1.10.0
  [4e289a0a] EnumX v1.0.5
  [7da242da] Enzyme v0.13.85
  [f151be2c] EnzymeCore v0.8.14
  [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 v1.1.3
  [1a297f60] FillArrays v1.14.0
  [64ca27bc] FindFirstFunctions v1.4.2
  [6a86dc24] FiniteDiff v2.28.1
  [1fa38f19] Format v1.3.7
⌅ [f6369f11] ForwardDiff v0.10.39
  [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 v1.7.2
  [c145ed77] GenericSchur v0.5.6
  [c27321d9] Glob v1.3.1
  [86223c79] Graphs v1.13.1
  [076d061b] HashArrayMappedTries v0.2.0
  [34004b35] HypergeometricFunctions v0.3.28
  [7869d1d1] IRTools v0.4.15
  [615f187c] IfElse v0.1.1
  [3263718b] ImplicitDiscreteSolve v1.2.0
  [d25df0c9] Inflate v0.1.5
  [18e54dd8] IntegerMathUtils v0.1.3
  [8197267c] IntervalSets v0.7.11
  [3587e190] InverseFunctions v0.1.17
  [92d709cd] IrrationalConstants v0.2.4
  [82899510] IteratorInterfaceExtensions v1.0.0
  [692b3bcd] JLLWrappers v1.7.1
⌅ [682c06a0] JSON v0.21.4
  [ae98c720] Jieko v0.2.1
  [98e50ef6] JuliaFormatter v2.1.6
⌅ [70703baa] JuliaSyntax v0.4.10
  [ccbc3e58] JumpProcesses v9.19.1
  [63c18a36] KernelAbstractions v0.9.38
  [ba0b0d4f] Krylov v0.10.2
  [5be7bae1] LBFGSB v0.4.1
  [929cbde3] LLVM v9.4.4
  [b964fa9f] LaTeXStrings v1.4.0
  [23fbe1c1] Latexify v0.16.10
  [10f19ff3] LayoutPointers v0.1.17
  [5078a376] LazyArrays v2.8.0
  [1d6d02ad] LeftChildRightSiblingTrees v0.2.1
  [2d8b4e74] LevyArea v1.0.0
  [87fe0de2] LineSearch v0.1.4
  [d3d80556] LineSearches v7.4.0
  [7ed4a6bd] LinearSolve v3.43.0
  [2ab3a3ac] LogExpFunctions v0.3.29
  [e6f89c97] LoggingExtras v1.2.0
  [d8e11817] MLStyle v0.4.17
  [1914dd2f] MacroTools v0.5.16
  [d125e4d3] ManualMemory v0.1.8
  [bb5d69b7] MaybeInplace v0.1.4
  [e1d29d7a] Missings v1.2.0
  [961ee093] ModelingToolkit v10.25.0
  [2e0e35c7] Moshi v0.3.7
  [46d2c3a1] MuladdMacro v0.2.4
  [102ac46a] MultivariatePolynomials v0.5.13
  [d8a4904e] MutableArithmetics v1.6.6
  [d41bc354] NLSolversBase v7.10.0
  [76087f3c] NLopt v1.2.1
  [2774e3e8] NLsolve v4.5.1
  [872c559c] NNlib v0.9.31
  [77ba4419] NaNMath v1.1.3
  [8913a72c] NonlinearSolve v4.12.0
  [be0214bd] NonlinearSolveBase v2.0.0
  [5959db7a] NonlinearSolveFirstOrder v1.9.0
  [9a2c21bd] NonlinearSolveQuasiNewton v1.10.0
  [26075421] NonlinearSolveSpectralMethods v1.5.0
  [d8793406] ObjectFile v0.5.0
  [6fe1bfb0] OffsetArrays v1.17.0
  [429524aa] Optim v1.13.2
  [3bd65402] Optimisers v0.4.6
  [7f7a1694] Optimization v4.8.0
⌃ [3e6eede4] OptimizationBBO v0.4.2
⌅ [bca83a33] OptimizationBase v2.12.0
⌃ [4e6fcdb7] OptimizationNLopt v0.3.4
⌃ [36348300] OptimizationOptimJL v0.4.5
  [bac558e1] OrderedCollections v1.8.1
  [1dea7af3] OrdinaryDiffEq v6.102.1
  [89bda076] OrdinaryDiffEqAdamsBashforthMoulton v1.5.0
  [6ad6398a] OrdinaryDiffEqBDF v1.10.1
  [bbf590c4] OrdinaryDiffEqCore v1.35.0
  [50262376] OrdinaryDiffEqDefault v1.8.0
  [4302a76b] OrdinaryDiffEqDifferentiation v1.16.1
  [9286f039] OrdinaryDiffEqExplicitRK v1.4.0
  [e0540318] OrdinaryDiffEqExponentialRK v1.8.0
  [becaefa8] OrdinaryDiffEqExtrapolation v1.9.0
  [5960d6e9] OrdinaryDiffEqFIRK v1.16.0
  [101fe9f7] OrdinaryDiffEqFeagin v1.4.0
  [d3585ca7] OrdinaryDiffEqFunctionMap v1.5.0
  [d28bc4f8] OrdinaryDiffEqHighOrderRK v1.5.0
  [9f002381] OrdinaryDiffEqIMEXMultistep v1.7.0
  [521117fe] OrdinaryDiffEqLinear v1.6.0
  [1344f307] OrdinaryDiffEqLowOrderRK v1.6.0
  [b0944070] OrdinaryDiffEqLowStorageRK v1.7.0
  [127b3ac7] OrdinaryDiffEqNonlinearSolve v1.15.0
  [c9986a66] OrdinaryDiffEqNordsieck v1.4.0
  [5dd0a6cf] OrdinaryDiffEqPDIRK v1.6.0
  [5b33eab2] OrdinaryDiffEqPRK v1.4.0
  [04162be5] OrdinaryDiffEqQPRK v1.4.0
  [af6ede74] OrdinaryDiffEqRKN v1.5.0
  [43230ef6] OrdinaryDiffEqRosenbrock v1.18.1
  [2d112036] OrdinaryDiffEqSDIRK v1.7.0
  [669c94d9] OrdinaryDiffEqSSPRK v1.7.0
  [e3e12d00] OrdinaryDiffEqStabilizedIRK v1.6.0
  [358294b1] OrdinaryDiffEqStabilizedRK v1.4.0
  [fa646aed] OrdinaryDiffEqSymplecticRK v1.7.0
  [b1df2697] OrdinaryDiffEqTsit5 v1.5.0
  [79d7bb75] OrdinaryDiffEqVerner v1.6.0
  [90014a1f] PDMats v0.11.35
  [65888b18] ParameterizedFunctions v5.19.0
  [d96e819e] Parameters v0.12.3
  [69de0a69] Parsers v2.8.3
  [06bb1623] PenaltyFunctions v0.3.0
  [e409e4f3] PoissonRandom v0.4.7
  [f517fe37] Polyester v0.7.18
  [1d0040c9] PolyesterWeave v0.2.2
  [85a6dd25] PositiveFactorizations v0.2.4
  [d236fae5] PreallocationTools v0.4.34
  [aea7be01] PrecompileTools v1.3.3
  [21216c6a] Preferences v1.5.0
  [27ebfcd6] Primes v0.5.7
  [33c8b6b6] ProgressLogging v0.1.5
  [92933f4c] ProgressMeter v1.11.0
  [43287f4e] PtrArrays v1.3.0
  [1fd47b50] QuadGK v2.11.2
  [74087812] Random123 v1.7.1
  [e6cf234a] RandomNumbers v1.6.0
  [c1ae055f] RealDot v0.1.0
  [3cdcf5f2] RecipesBase v1.3.4
  [731186ca] RecursiveArrayTools v3.37.1
  [189a3867] Reexport v1.2.2
  [ae029012] Requires v1.3.1
  [ae5879a3] ResettableStacks v1.1.1
  [37e2e3b7] ReverseDiff v1.16.1
  [79098fc4] Rmath v0.8.0
  [7e49a35a] RuntimeGeneratedFunctions v0.5.15
  [9dfe8606] SCCNonlinearSolve v1.6.0
  [94e857df] SIMDTypes v0.1.0
  [0bca4576] SciMLBase v2.120.0
  [19f34311] SciMLJacobianOperators v0.1.11
  [c0aeaf25] SciMLOperators v1.7.2
  [431bcebd] SciMLPublic v1.0.0
  [1ed8b502] SciMLSensitivity v7.90.0
  [53ae85a6] SciMLStructures v1.7.0
  [7e506255] ScopedValues v1.5.0
  [6c6a2e73] Scratch v1.3.0
  [efcf1570] Setfield v1.1.2
  [727e6d20] SimpleNonlinearSolve v2.9.0
  [699a6c99] SimpleTraits v0.9.5
  [ce78b400] SimpleUnPack v1.1.0
  [a2af1166] SortingAlgorithms v1.2.2
  [9f842d2f] SparseConnectivityTracer v1.1.0
  [dc90abb0] SparseInverseSubset v0.1.2
  [0a514795] SparseMatrixColorings v0.4.21
  [d4ead438] SpatialIndexing v0.1.6
  [276daf66] SpecialFunctions v2.6.1
  [aedffcd0] Static v1.3.0
  [0d7ed370] StaticArrayInterface v1.8.0
  [90137ffa] StaticArrays v1.9.15
  [1e83bf80] StaticArraysCore v1.4.3
  [10745b16] Statistics v1.11.1
  [82ae8749] StatsAPI v1.7.1
  [2913bbd2] StatsBase v0.34.6
  [4c63d2b9] StatsFuns v1.5.0
  [9672c7b4] SteadyStateDiffEq v2.7.0
  [789caeaf] StochasticDiffEq v6.82.0
  [7792a7ef] StrideArraysCore v0.5.8
  [09ab397b] StructArrays v0.7.1
  [53d494c1] StructIO v0.3.1
  [c3572dad] Sundials v5.1.0
  [2efcf032] SymbolicIndexingInterface v0.3.45
⌃ [19f23fe9] SymbolicLimits v0.2.3
⌅ [d1185830] SymbolicUtils v3.32.0
  [0c5d862f] Symbolics v6.55.0
  [3783bdb8] TableTraits v1.0.1
  [bd369af6] Tables v1.12.1
  [ed4db957] TaskLocalValues v0.1.3
  [8ea1fca8] TermInterface v2.0.0
  [5d786b92] TerminalLoggers v0.1.7
  [1c621080] TestItems v1.0.0
  [8290d209] ThreadingUtilities v0.5.5
  [a759f4b9] TimerOutputs v0.5.29
  [9f7883ad] Tracker v0.2.38
  [e689c965] Tracy v0.1.6
  [410a4b4d] Tricks v0.1.12
  [781d530d] TruncatedStacktraces v1.4.0
  [5c2747f8] URIs v1.6.1
  [3a884ed6] UnPack v1.0.2
  [1986cc42] Unitful v1.25.0
  [a7c27f48] Unityper v0.1.6
  [013be700] UnsafeAtomics v0.3.0
  [e88e6eb3] Zygote v0.7.10
  [700de1a5] ZygoteRules v0.2.7
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        Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading.
     Testing Running tests...
┌ Warning: Independent variable t should be defined with @independent_variables t.
└ @ ModelingToolkit ~/.julia/packages/ModelingToolkit/IdXTK/src/utils.jl:121
┌ Warning: Independent variable t should be defined with @independent_variables t.
└ @ ModelingToolkit ~/.julia/packages/ModelingToolkit/IdXTK/src/utils.jl:121
┌ Warning: Independent variable t should be defined with @independent_variables t.
└ @ ModelingToolkit ~/.julia/packages/ModelingToolkit/IdXTK/src/utils.jl:121
┌ Warning: `Base.getindex(VA::AbstractDiffEqArray{T, N, A}, i::Int) where {T, N, A <: Union{AbstractArray, AbstractVectorOfArray}}` is deprecated, use `VA.u[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"##140"{var"###ParameterizedDiffEqFunction#142", var"###ParameterizedTGradFunction#143", var"###ParameterizedJacobianFunction#144", Nothing, Nothing, System}, Base.Pairs{Symbol, Union{}, Nothing, @NamedTuple{}}, SciMLBase.StandardODEProblem}, Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{var"##140"{var"###ParameterizedDiffEqFunction#142", var"###ParameterizedTGradFunction#143", var"###ParameterizedJacobianFunction#144", Nothing, Nothing, System}, 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
└ @ Core ~/.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
0.59 secs, 6 evals, 3 steps, fitness=53.306054444
1.18 secs, 11 evals, 6 steps, improv/step: 0.500 (last = 1.0000), fitness=53.306054444
1.77 secs, 17 evals, 9 steps, improv/step: 0.333 (last = 0.0000), fitness=1.254487317
2.28 secs, 23 evals, 12 steps, improv/step: 0.417 (last = 0.6667), fitness=1.254487317
2.89 secs, 30 evals, 16 steps, improv/step: 0.375 (last = 0.2500), fitness=1.254487317
3.41 secs, 36 evals, 19 steps, improv/step: 0.368 (last = 0.3333), fitness=1.254487317
4.04 secs, 43 evals, 23 steps, improv/step: 0.348 (last = 0.2500), fitness=1.254487317
4.55 secs, 49 evals, 26 steps, improv/step: 0.423 (last = 1.0000), fitness=1.254487317
5.06 secs, 55 evals, 30 steps, improv/step: 0.467 (last = 0.7500), fitness=1.254487317
5.58 secs, 61 evals, 33 steps, improv/step: 0.455 (last = 0.3333), fitness=1.254487317
6.18 secs, 68 evals, 37 steps, improv/step: 0.432 (last = 0.2500), fitness=1.254487317
6.69 secs, 74 evals, 40 steps, improv/step: 0.450 (last = 0.6667), fitness=1.254487317
7.28 secs, 81 evals, 44 steps, improv/step: 0.455 (last = 0.5000), fitness=1.254487317
7.88 secs, 88 evals, 48 steps, improv/step: 0.458 (last = 0.5000), fitness=1.254487317
8.39 secs, 94 evals, 52 steps, improv/step: 0.462 (last = 0.5000), fitness=1.254487317
8.98 secs, 101 evals, 56 steps, improv/step: 0.464 (last = 0.5000), fitness=1.254487317
9.49 secs, 107 evals, 60 steps, improv/step: 0.483 (last = 0.7500), fitness=1.254487317
10.09 secs, 114 evals, 65 steps, improv/step: 0.462 (last = 0.2000), fitness=1.254487317
10.59 secs, 120 evals, 69 steps, improv/step: 0.449 (last = 0.2500), fitness=1.254487317
11.18 secs, 127 evals, 73 steps, improv/step: 0.438 (last = 0.2500), fitness=1.254487317
11.69 secs, 133 evals, 77 steps, improv/step: 0.416 (last = 0.0000), fitness=1.254487317
12.19 secs, 139 evals, 81 steps, improv/step: 0.432 (last = 0.7500), fitness=1.254487317
12.69 secs, 145 evals, 86 steps, improv/step: 0.430 (last = 0.4000), fitness=1.254487317
13.20 secs, 151 evals, 90 steps, improv/step: 0.422 (last = 0.2500), fitness=1.254487317
13.71 secs, 157 evals, 94 steps, improv/step: 0.426 (last = 0.5000), fitness=1.254487317
14.22 secs, 163 evals, 97 steps, improv/step: 0.433 (last = 0.6667), fitness=1.254487317
14.73 secs, 169 evals, 102 steps, improv/step: 0.431 (last = 0.4000), fitness=1.254487317
15.32 secs, 176 evals, 106 steps, improv/step: 0.425 (last = 0.2500), fitness=1.254487317
15.84 secs, 182 evals, 111 steps, improv/step: 0.423 (last = 0.4000), fitness=1.254487317
16.35 secs, 188 evals, 116 steps, improv/step: 0.431 (last = 0.6000), fitness=1.254487317
16.86 secs, 194 evals, 120 steps, improv/step: 0.425 (last = 0.2500), fitness=1.254487317
17.36 secs, 200 evals, 126 steps, improv/step: 0.421 (last = 0.3333), fitness=0.045107597
17.88 secs, 206 evals, 131 steps, improv/step: 0.427 (last = 0.6000), fitness=0.045107597
18.39 secs, 212 evals, 136 steps, improv/step: 0.426 (last = 0.4000), fitness=0.045107597
18.99 secs, 219 evals, 142 steps, improv/step: 0.415 (last = 0.1667), fitness=0.045107597
19.50 secs, 225 evals, 147 steps, improv/step: 0.408 (last = 0.2000), fitness=0.045107597
20.02 secs, 231 evals, 151 steps, improv/step: 0.411 (last = 0.5000), fitness=0.045107597
20.54 secs, 237 evals, 156 steps, improv/step: 0.410 (last = 0.4000), fitness=0.045107597
21.05 secs, 243 evals, 160 steps, improv/step: 0.425 (last = 1.0000), fitness=0.045107597
21.56 secs, 249 evals, 166 steps, improv/step: 0.422 (last = 0.3333), fitness=0.045107597
22.08 secs, 255 evals, 169 steps, improv/step: 0.420 (last = 0.3333), fitness=0.045107597
22.59 secs, 261 evals, 173 steps, improv/step: 0.422 (last = 0.5000), fitness=0.045107597
23.10 secs, 267 evals, 179 steps, improv/step: 0.425 (last = 0.5000), fitness=0.045107597
23.61 secs, 273 evals, 184 steps, improv/step: 0.418 (last = 0.2000), fitness=0.045107597
24.13 secs, 279 evals, 190 steps, improv/step: 0.421 (last = 0.5000), fitness=0.045107597
24.63 secs, 285 evals, 196 steps, improv/step: 0.408 (last = 0.0000), fitness=0.045107597
25.20 secs, 292 evals, 201 steps, improv/step: 0.403 (last = 0.2000), fitness=0.045107597
25.79 secs, 299 evals, 208 steps, improv/step: 0.394 (last = 0.1429), fitness=0.045107597
26.36 secs, 306 evals, 215 steps, improv/step: 0.405 (last = 0.7143), fitness=0.045107597
26.95 secs, 313 evals, 221 steps, improv/step: 0.407 (last = 0.5000), fitness=0.038112004
27.61 secs, 321 evals, 228 steps, improv/step: 0.404 (last = 0.2857), fitness=0.038112004
28.11 secs, 327 evals, 234 steps, improv/step: 0.402 (last = 0.3333), fitness=0.038112004
28.69 secs, 334 evals, 241 steps, improv/step: 0.390 (last = 0.0000), fitness=0.038112004
29.29 secs, 341 evals, 245 steps, improv/step: 0.392 (last = 0.5000), fitness=0.038112004
29.80 secs, 347 evals, 251 steps, improv/step: 0.390 (last = 0.3333), fitness=0.038112004
30.31 secs, 353 evals, 257 steps, improv/step: 0.389 (last = 0.3333), fitness=0.038112004
30.82 secs, 359 evals, 263 steps, improv/step: 0.392 (last = 0.5000), fitness=0.038112004
31.33 secs, 365 evals, 268 steps, improv/step: 0.384 (last = 0.0000), fitness=0.038112004
31.84 secs, 371 evals, 272 steps, improv/step: 0.382 (last = 0.2500), fitness=0.038112004
32.35 secs, 377 evals, 278 steps, improv/step: 0.385 (last = 0.5000), fitness=0.038112004
32.86 secs, 383 evals, 284 steps, improv/step: 0.384 (last = 0.3333), fitness=0.038112004
33.37 secs, 389 evals, 289 steps, improv/step: 0.384 (last = 0.4000), fitness=0.038112004
33.88 secs, 395 evals, 295 steps, improv/step: 0.386 (last = 0.5000), fitness=0.038112004
34.39 secs, 401 evals, 300 steps, improv/step: 0.383 (last = 0.2000), fitness=0.038112004
34.90 secs, 407 evals, 306 steps, improv/step: 0.379 (last = 0.1667), fitness=0.038112004
35.41 secs, 413 evals, 312 steps, improv/step: 0.378 (last = 0.3333), fitness=0.038112004
35.93 secs, 419 evals, 318 steps, improv/step: 0.374 (last = 0.1667), fitness=0.038112004
36.43 secs, 425 evals, 323 steps, improv/step: 0.378 (last = 0.6000), fitness=0.038112004
36.94 secs, 431 evals, 329 steps, improv/step: 0.374 (last = 0.1667), fitness=0.038112004
37.45 secs, 437 evals, 335 steps, improv/step: 0.376 (last = 0.5000), fitness=0.038112004
37.97 secs, 443 evals, 341 steps, improv/step: 0.372 (last = 0.1667), fitness=0.038112004
38.48 secs, 449 evals, 347 steps, improv/step: 0.372 (last = 0.3333), fitness=0.038112004
38.99 secs, 455 evals, 352 steps, improv/step: 0.372 (last = 0.4000), fitness=0.038112004
39.50 secs, 461 evals, 358 steps, improv/step: 0.369 (last = 0.1667), fitness=0.038112004
40.02 secs, 467 evals, 364 steps, improv/step: 0.371 (last = 0.5000), fitness=0.038112004
40.52 secs, 473 evals, 370 steps, improv/step: 0.370 (last = 0.3333), fitness=0.038112004
41.03 secs, 479 evals, 375 steps, improv/step: 0.365 (last = 0.0000), fitness=0.038112004
41.53 secs, 485 evals, 381 steps, improv/step: 0.365 (last = 0.3333), fitness=0.038112004
42.04 secs, 491 evals, 387 steps, improv/step: 0.359 (last = 0.0000), fitness=0.038112004
42.55 secs, 497 evals, 393 steps, improv/step: 0.359 (last = 0.3333), fitness=0.038112004
43.05 secs, 503 evals, 399 steps, improv/step: 0.363 (last = 0.6667), fitness=0.038112004
43.56 secs, 509 evals, 405 steps, improv/step: 0.360 (last = 0.1667), fitness=0.038112004
44.08 secs, 515 evals, 411 steps, improv/step: 0.363 (last = 0.5000), fitness=0.037529737
44.59 secs, 521 evals, 416 steps, improv/step: 0.365 (last = 0.6000), fitness=0.037529737
45.18 secs, 528 evals, 422 steps, improv/step: 0.363 (last = 0.1667), fitness=0.037529737
45.68 secs, 534 evals, 428 steps, improv/step: 0.360 (last = 0.1667), fitness=0.037529737
46.19 secs, 540 evals, 434 steps, improv/step: 0.362 (last = 0.5000), fitness=0.037529737
46.70 secs, 546 evals, 440 steps, improv/step: 0.361 (last = 0.3333), fitness=0.037529737
47.22 secs, 552 evals, 445 steps, improv/step: 0.362 (last = 0.4000), fitness=0.037529737
47.73 secs, 558 evals, 451 steps, improv/step: 0.359 (last = 0.1667), fitness=0.037529737
48.28 secs, 564 evals, 457 steps, improv/step: 0.359 (last = 0.3333), fitness=0.037529737
48.79 secs, 570 evals, 463 steps, improv/step: 0.356 (last = 0.1667), fitness=0.037529737
49.30 secs, 576 evals, 469 steps, improv/step: 0.352 (last = 0.0000), fitness=0.037529737
49.81 secs, 582 evals, 475 steps, improv/step: 0.354 (last = 0.5000), fitness=0.037529737
50.33 secs, 588 evals, 481 steps, improv/step: 0.351 (last = 0.1667), fitness=0.037529737
50.83 secs, 594 evals, 487 steps, improv/step: 0.347 (last = 0.0000), fitness=0.037529737
51.34 secs, 600 evals, 493 steps, improv/step: 0.343 (last = 0.0000), fitness=0.037529737
51.85 secs, 606 evals, 499 steps, improv/step: 0.343 (last = 0.3333), fitness=0.037529737
52.36 secs, 612 evals, 504 steps, improv/step: 0.341 (last = 0.2000), fitness=0.037529737
52.87 secs, 618 evals, 510 steps, improv/step: 0.339 (last = 0.1667), fitness=0.037529737
53.37 secs, 624 evals, 516 steps, improv/step: 0.337 (last = 0.1667), fitness=0.037529737
53.88 secs, 630 evals, 522 steps, improv/step: 0.341 (last = 0.6667), fitness=0.037529737
54.39 secs, 636 evals, 528 steps, improv/step: 0.339 (last = 0.1667), fitness=0.037529737
54.89 secs, 642 evals, 534 steps, improv/step: 0.337 (last = 0.1667), fitness=0.037529737
55.40 secs, 648 evals, 540 steps, improv/step: 0.337 (last = 0.3333), fitness=0.037529737
55.91 secs, 654 evals, 546 steps, improv/step: 0.335 (last = 0.1667), fitness=0.037529737
56.42 secs, 660 evals, 552 steps, improv/step: 0.337 (last = 0.5000), fitness=0.037529737
56.92 secs, 666 evals, 558 steps, improv/step: 0.335 (last = 0.1667), fitness=0.037529737
57.42 secs, 672 evals, 564 steps, improv/step: 0.335 (last = 0.3333), fitness=0.037529737
57.92 secs, 678 evals, 570 steps, improv/step: 0.333 (last = 0.1667), fitness=0.037529737
58.43 secs, 684 evals, 576 steps, improv/step: 0.333 (last = 0.3333), fitness=0.037529737
58.94 secs, 690 evals, 582 steps, improv/step: 0.333 (last = 0.3333), fitness=0.037412120
59.44 secs, 696 evals, 588 steps, improv/step: 0.335 (last = 0.5000), fitness=0.035877936
59.95 secs, 702 evals, 594 steps, improv/step: 0.337 (last = 0.5000), fitness=0.035877936
60.46 secs, 708 evals, 600 steps, improv/step: 0.337 (last = 0.3333), fitness=0.035877936
60.96 secs, 714 evals, 606 steps, improv/step: 0.335 (last = 0.1667), fitness=0.035877936
61.46 secs, 720 evals, 612 steps, improv/step: 0.337 (last = 0.5000), fitness=0.035877936
61.97 secs, 726 evals, 618 steps, improv/step: 0.335 (last = 0.1667), fitness=0.035848807
62.48 secs, 732 evals, 624 steps, improv/step: 0.332 (last = 0.0000), fitness=0.035848807
63.06 secs, 739 evals, 631 steps, improv/step: 0.334 (last = 0.5714), fitness=0.035848807
63.57 secs, 745 evals, 637 steps, improv/step: 0.334 (last = 0.3333), fitness=0.035848807
64.08 secs, 751 evals, 643 steps, improv/step: 0.333 (last = 0.1667), fitness=0.035848807
64.66 secs, 758 evals, 650 steps, improv/step: 0.334 (last = 0.4286), fitness=0.035848807
65.24 secs, 765 evals, 657 steps, improv/step: 0.335 (last = 0.4286), fitness=0.035848807
65.74 secs, 771 evals, 663 steps, improv/step: 0.338 (last = 0.6667), fitness=0.035848807
66.25 secs, 777 evals, 669 steps, improv/step: 0.339 (last = 0.5000), fitness=0.035848807
66.83 secs, 784 evals, 676 steps, improv/step: 0.340 (last = 0.4286), fitness=0.035848807
67.41 secs, 791 evals, 683 steps, improv/step: 0.344 (last = 0.7143), fitness=0.035848807
67.93 secs, 797 evals, 689 steps, improv/step: 0.345 (last = 0.5000), fitness=0.035848807
68.44 secs, 803 evals, 695 steps, improv/step: 0.347 (last = 0.5000), fitness=0.035848807
68.94 secs, 809 evals, 701 steps, improv/step: 0.348 (last = 0.5000), fitness=0.035848807
69.44 secs, 815 evals, 707 steps, improv/step: 0.349 (last = 0.5000), fitness=0.035848807
70.03 secs, 822 evals, 714 steps, improv/step: 0.349 (last = 0.2857), fitness=0.035848807
70.53 secs, 828 evals, 720 steps, improv/step: 0.347 (last = 0.1667), fitness=0.035848807
71.04 secs, 834 evals, 726 steps, improv/step: 0.350 (last = 0.6667), fitness=0.035806077
71.62 secs, 841 evals, 733 steps, improv/step: 0.348 (last = 0.1429), fitness=0.035806077
72.13 secs, 847 evals, 739 steps, improv/step: 0.348 (last = 0.3333), fitness=0.035806077
72.71 secs, 854 evals, 746 steps, improv/step: 0.349 (last = 0.4286), fitness=0.035806077
73.28 secs, 861 evals, 753 steps, improv/step: 0.347 (last = 0.1429), fitness=0.035806077
73.79 secs, 867 evals, 759 steps, improv/step: 0.347 (last = 0.3333), fitness=0.035801779
74.30 secs, 873 evals, 765 steps, improv/step: 0.345 (last = 0.1667), fitness=0.035801779
74.81 secs, 879 evals, 771 steps, improv/step: 0.346 (last = 0.5000), fitness=0.035801779
75.32 secs, 885 evals, 777 steps, improv/step: 0.347 (last = 0.5000), fitness=0.035801779
75.83 secs, 891 evals, 783 steps, improv/step: 0.347 (last = 0.3333), fitness=0.035801779
76.35 secs, 897 evals, 789 steps, improv/step: 0.349 (last = 0.5000), fitness=0.035801779
76.85 secs, 903 evals, 795 steps, improv/step: 0.348 (last = 0.3333), fitness=0.035801779
77.43 secs, 910 evals, 802 steps, improv/step: 0.348 (last = 0.2857), fitness=0.035801779
78.02 secs, 917 evals, 809 steps, improv/step: 0.349 (last = 0.4286), fitness=0.035801779
78.53 secs, 923 evals, 815 steps, improv/step: 0.351 (last = 0.6667), fitness=0.035801779
79.11 secs, 930 evals, 822 steps, improv/step: 0.350 (last = 0.2857), fitness=0.035801779
79.68 secs, 937 evals, 829 steps, improv/step: 0.351 (last = 0.4286), fitness=0.035801779
80.19 secs, 943 evals, 835 steps, improv/step: 0.351 (last = 0.3333), fitness=0.035801779
80.77 secs, 950 evals, 842 steps, improv/step: 0.350 (last = 0.2857), fitness=0.035801779
81.35 secs, 957 evals, 849 steps, improv/step: 0.350 (last = 0.2857), fitness=0.035785856
81.93 secs, 964 evals, 856 steps, improv/step: 0.352 (last = 0.5714), fitness=0.035785856
82.44 secs, 970 evals, 862 steps, improv/step: 0.354 (last = 0.6667), fitness=0.035785856
83.02 secs, 977 evals, 869 steps, improv/step: 0.353 (last = 0.2857), fitness=0.035785856
83.60 secs, 984 evals, 876 steps, improv/step: 0.355 (last = 0.5714), fitness=0.035783476
84.10 secs, 990 evals, 882 steps, improv/step: 0.353 (last = 0.0000), fitness=0.035783476
84.68 secs, 997 evals, 889 steps, improv/step: 0.353 (last = 0.4286), fitness=0.035783476
85.26 secs, 1004 evals, 896 steps, improv/step: 0.353 (last = 0.2857), fitness=0.035783476
85.84 secs, 1011 evals, 903 steps, improv/step: 0.352 (last = 0.2857), fitness=0.035783476
86.34 secs, 1017 evals, 909 steps, improv/step: 0.353 (last = 0.5000), fitness=0.035783476
86.92 secs, 1024 evals, 916 steps, improv/step: 0.353 (last = 0.2857), fitness=0.035783463
87.50 secs, 1031 evals, 923 steps, improv/step: 0.353 (last = 0.4286), fitness=0.035783463
88.00 secs, 1037 evals, 929 steps, improv/step: 0.352 (last = 0.1667), fitness=0.035783463
88.58 secs, 1044 evals, 936 steps, improv/step: 0.350 (last = 0.1429), fitness=0.035783463
89.16 secs, 1051 evals, 943 steps, improv/step: 0.348 (last = 0.0000), fitness=0.035783463
89.73 secs, 1058 evals, 950 steps, improv/step: 0.349 (last = 0.5714), fitness=0.035783463
90.31 secs, 1065 evals, 957 steps, improv/step: 0.350 (last = 0.4286), fitness=0.035783463
90.89 secs, 1072 evals, 964 steps, improv/step: 0.349 (last = 0.1429), fitness=0.035783463
91.46 secs, 1079 evals, 971 steps, improv/step: 0.350 (last = 0.5714), fitness=0.035783463
92.04 secs, 1086 evals, 978 steps, improv/step: 0.349 (last = 0.1429), fitness=0.035783463
92.61 secs, 1093 evals, 985 steps, improv/step: 0.347 (last = 0.1429), fitness=0.035783463
93.17 secs, 1100 evals, 992 steps, improv/step: 0.349 (last = 0.5714), fitness=0.035783463
93.74 secs, 1107 evals, 999 steps, improv/step: 0.351 (last = 0.7143), fitness=0.035783463
94.31 secs, 1114 evals, 1006 steps, improv/step: 0.353 (last = 0.5714), fitness=0.035783463
94.88 secs, 1121 evals, 1013 steps, improv/step: 0.351 (last = 0.1429), fitness=0.035783463
95.44 secs, 1128 evals, 1020 steps, improv/step: 0.350 (last = 0.1429), fitness=0.035783463
96.02 secs, 1135 evals, 1027 steps, improv/step: 0.349 (last = 0.1429), fitness=0.035783463
96.59 secs, 1142 evals, 1034 steps, improv/step: 0.347 (last = 0.1429), fitness=0.035783463
97.16 secs, 1149 evals, 1041 steps, improv/step: 0.347 (last = 0.2857), fitness=0.035783463
97.73 secs, 1156 evals, 1048 steps, improv/step: 0.346 (last = 0.2857), fitness=0.035783463
98.30 secs, 1163 evals, 1055 steps, improv/step: 0.346 (last = 0.2857), fitness=0.035783463
98.88 secs, 1170 evals, 1062 steps, improv/step: 0.347 (last = 0.5714), fitness=0.035783463
99.45 secs, 1177 evals, 1069 steps, improv/step: 0.348 (last = 0.4286), fitness=0.035783463
100.03 secs, 1184 evals, 1076 steps, improv/step: 0.349 (last = 0.5714), fitness=0.035783463
100.60 secs, 1191 evals, 1083 steps, improv/step: 0.348 (last = 0.1429), fitness=0.035783463
101.18 secs, 1198 evals, 1090 steps, improv/step: 0.349 (last = 0.4286), fitness=0.035783463
101.68 secs, 1204 evals, 1096 steps, improv/step: 0.349 (last = 0.5000), fitness=0.035783463
102.26 secs, 1211 evals, 1103 steps, improv/step: 0.348 (last = 0.1429), fitness=0.035783463
102.84 secs, 1218 evals, 1110 steps, improv/step: 0.350 (last = 0.5714), fitness=0.035783463
103.34 secs, 1224 evals, 1116 steps, improv/step: 0.350 (last = 0.5000), fitness=0.035783463
103.86 secs, 1230 evals, 1122 steps, improv/step: 0.351 (last = 0.5000), fitness=0.035783463
104.36 secs, 1236 evals, 1128 steps, improv/step: 0.351 (last = 0.3333), fitness=0.035783463
104.87 secs, 1242 evals, 1134 steps, improv/step: 0.350 (last = 0.1667), fitness=0.035783463
105.38 secs, 1248 evals, 1140 steps, improv/step: 0.351 (last = 0.5000), fitness=0.035783463
105.88 secs, 1254 evals, 1146 steps, improv/step: 0.352 (last = 0.5000), fitness=0.035783463
106.38 secs, 1260 evals, 1152 steps, improv/step: 0.353 (last = 0.6667), fitness=0.035783463
106.89 secs, 1266 evals, 1158 steps, improv/step: 0.353 (last = 0.3333), fitness=0.035783463
107.39 secs, 1272 evals, 1164 steps, improv/step: 0.354 (last = 0.5000), fitness=0.035783463
107.90 secs, 1278 evals, 1170 steps, improv/step: 0.354 (last = 0.3333), fitness=0.035783463
108.40 secs, 1284 evals, 1176 steps, improv/step: 0.354 (last = 0.3333), fitness=0.035783461
108.92 secs, 1290 evals, 1182 steps, improv/step: 0.354 (last = 0.5000), fitness=0.035783461
109.43 secs, 1296 evals, 1188 steps, improv/step: 0.354 (last = 0.1667), fitness=0.035783461
109.95 secs, 1302 evals, 1194 steps, improv/step: 0.353 (last = 0.3333), fitness=0.035783461
110.46 secs, 1308 evals, 1200 steps, improv/step: 0.352 (last = 0.0000), fitness=0.035783461
110.98 secs, 1314 evals, 1206 steps, improv/step: 0.351 (last = 0.1667), fitness=0.035783461
111.50 secs, 1320 evals, 1212 steps, improv/step: 0.351 (last = 0.3333), fitness=0.035783461
112.03 secs, 1326 evals, 1218 steps, improv/step: 0.350 (last = 0.1667), fitness=0.035783461
112.53 secs, 1332 evals, 1224 steps, improv/step: 0.351 (last = 0.6667), fitness=0.035783461
113.05 secs, 1338 evals, 1230 steps, improv/step: 0.351 (last = 0.3333), fitness=0.035783461
113.56 secs, 1344 evals, 1236 steps, improv/step: 0.353 (last = 0.6667), fitness=0.035783461
114.09 secs, 1350 evals, 1242 steps, improv/step: 0.353 (last = 0.3333), fitness=0.035783461
114.60 secs, 1356 evals, 1248 steps, improv/step: 0.354 (last = 0.6667), fitness=0.035783461
115.10 secs, 1362 evals, 1254 steps, improv/step: 0.352 (last = 0.0000), fitness=0.035783461
115.62 secs, 1368 evals, 1260 steps, improv/step: 0.351 (last = 0.0000), fitness=0.035783461
116.13 secs, 1374 evals, 1266 steps, improv/step: 0.351 (last = 0.3333), fitness=0.035783461
116.64 secs, 1380 evals, 1272 steps, improv/step: 0.350 (last = 0.1667), fitness=0.035783461
117.15 secs, 1386 evals, 1278 steps, improv/step: 0.351 (last = 0.6667), fitness=0.035783461
117.66 secs, 1392 evals, 1284 steps, improv/step: 0.352 (last = 0.5000), fitness=0.035783461
118.18 secs, 1398 evals, 1290 steps, improv/step: 0.352 (last = 0.3333), fitness=0.035783461
118.69 secs, 1404 evals, 1296 steps, improv/step: 0.353 (last = 0.5000), fitness=0.035783461
119.20 secs, 1410 evals, 1302 steps, improv/step: 0.354 (last = 0.6667), fitness=0.035783461
119.71 secs, 1416 evals, 1308 steps, improv/step: 0.354 (last = 0.3333), fitness=0.035783461
120.24 secs, 1422 evals, 1314 steps, improv/step: 0.355 (last = 0.5000), fitness=0.035783461
120.75 secs, 1428 evals, 1320 steps, improv/step: 0.355 (last = 0.5000), fitness=0.035783461
121.26 secs, 1434 evals, 1326 steps, improv/step: 0.354 (last = 0.0000), fitness=0.035783461
121.76 secs, 1440 evals, 1332 steps, improv/step: 0.354 (last = 0.5000), fitness=0.035783461
122.28 secs, 1446 evals, 1338 steps, improv/step: 0.354 (last = 0.3333), fitness=0.035783461
122.79 secs, 1452 evals, 1344 steps, improv/step: 0.354 (last = 0.3333), fitness=0.035783461
123.29 secs, 1458 evals, 1350 steps, improv/step: 0.353 (last = 0.1667), fitness=0.035783461
123.81 secs, 1464 evals, 1356 steps, improv/step: 0.355 (last = 0.6667), fitness=0.035783461
124.32 secs, 1470 evals, 1362 steps, improv/step: 0.355 (last = 0.5000), fitness=0.035783461
124.82 secs, 1476 evals, 1368 steps, improv/step: 0.355 (last = 0.3333), fitness=0.035783461
125.32 secs, 1482 evals, 1374 steps, improv/step: 0.355 (last = 0.3333), fitness=0.035783461
125.83 secs, 1488 evals, 1380 steps, improv/step: 0.357 (last = 0.6667), fitness=0.035783461
126.34 secs, 1494 evals, 1386 steps, improv/step: 0.356 (last = 0.3333), fitness=0.035783461
126.85 secs, 1500 evals, 1392 steps, improv/step: 0.358 (last = 0.6667), fitness=0.035783461
127.36 secs, 1506 evals, 1398 steps, improv/step: 0.357 (last = 0.1667), fitness=0.035783461
127.87 secs, 1512 evals, 1404 steps, improv/step: 0.358 (last = 0.5000), fitness=0.035783461
128.38 secs, 1518 evals, 1410 steps, improv/step: 0.358 (last = 0.5000), fitness=0.035783461
128.89 secs, 1524 evals, 1416 steps, improv/step: 0.357 (last = 0.1667), fitness=0.035783461
129.41 secs, 1530 evals, 1422 steps, improv/step: 0.357 (last = 0.3333), fitness=0.035783461
129.93 secs, 1536 evals, 1428 steps, improv/step: 0.358 (last = 0.5000), fitness=0.035783461
130.44 secs, 1542 evals, 1434 steps, improv/step: 0.357 (last = 0.1667), fitness=0.035783461
130.96 secs, 1548 evals, 1440 steps, improv/step: 0.358 (last = 0.5000), fitness=0.035783460
131.47 secs, 1554 evals, 1446 steps, improv/step: 0.357 (last = 0.1667), fitness=0.035783460
131.99 secs, 1560 evals, 1452 steps, improv/step: 0.357 (last = 0.3333), fitness=0.035783460
132.50 secs, 1566 evals, 1458 steps, improv/step: 0.356 (last = 0.1667), fitness=0.035783460
133.02 secs, 1572 evals, 1464 steps, improv/step: 0.356 (last = 0.3333), fitness=0.035783460
133.53 secs, 1578 evals, 1470 steps, improv/step: 0.356 (last = 0.3333), fitness=0.035783460
134.05 secs, 1584 evals, 1476 steps, improv/step: 0.356 (last = 0.5000), fitness=0.035783460
134.56 secs, 1590 evals, 1482 steps, improv/step: 0.357 (last = 0.5000), fitness=0.035783460
135.07 secs, 1596 evals, 1488 steps, improv/step: 0.358 (last = 0.5000), fitness=0.035783459
135.58 secs, 1602 evals, 1494 steps, improv/step: 0.358 (last = 0.5000), fitness=0.035783459
136.10 secs, 1608 evals, 1500 steps, improv/step: 0.359 (last = 0.6667), fitness=0.035783459
136.61 secs, 1614 evals, 1506 steps, improv/step: 0.360 (last = 0.5000), fitness=0.035783459
137.12 secs, 1620 evals, 1512 steps, improv/step: 0.360 (last = 0.5000), fitness=0.035783459
137.64 secs, 1626 evals, 1518 steps, improv/step: 0.360 (last = 0.1667), fitness=0.035783459
138.16 secs, 1632 evals, 1524 steps, improv/step: 0.359 (last = 0.1667), fitness=0.035783459
138.67 secs, 1638 evals, 1530 steps, improv/step: 0.360 (last = 0.6667), fitness=0.035783459
139.19 secs, 1644 evals, 1536 steps, improv/step: 0.359 (last = 0.1667), fitness=0.035783459
139.70 secs, 1650 evals, 1542 steps, improv/step: 0.360 (last = 0.5000), fitness=0.035783459
140.24 secs, 1656 evals, 1548 steps, improv/step: 0.360 (last = 0.3333), fitness=0.035783459
140.74 secs, 1662 evals, 1554 steps, improv/step: 0.360 (last = 0.5000), fitness=0.035783459
141.25 secs, 1668 evals, 1560 steps, improv/step: 0.360 (last = 0.3333), fitness=0.035783459
141.76 secs, 1674 evals, 1566 steps, improv/step: 0.361 (last = 0.6667), fitness=0.035783459
142.28 secs, 1680 evals, 1572 steps, improv/step: 0.361 (last = 0.3333), fitness=0.035783459
142.80 secs, 1686 evals, 1578 steps, improv/step: 0.361 (last = 0.3333), fitness=0.035783459
143.31 secs, 1692 evals, 1584 steps, improv/step: 0.361 (last = 0.3333), fitness=0.035783459
143.82 secs, 1698 evals, 1590 steps, improv/step: 0.360 (last = 0.1667), fitness=0.035783459
144.34 secs, 1704 evals, 1596 steps, improv/step: 0.362 (last = 0.6667), fitness=0.035783459
144.85 secs, 1710 evals, 1602 steps, improv/step: 0.361 (last = 0.1667), fitness=0.035783459
145.36 secs, 1716 evals, 1608 steps, improv/step: 0.361 (last = 0.3333), fitness=0.035783459
145.87 secs, 1722 evals, 1614 steps, improv/step: 0.360 (last = 0.1667), fitness=0.035783459
146.39 secs, 1728 evals, 1620 steps, improv/step: 0.360 (last = 0.3333), fitness=0.035783459
146.90 secs, 1734 evals, 1626 steps, improv/step: 0.359 (last = 0.1667), fitness=0.035783459
147.41 secs, 1740 evals, 1632 steps, improv/step: 0.358 (last = 0.1667), fitness=0.035783459
147.92 secs, 1746 evals, 1638 steps, improv/step: 0.358 (last = 0.3333), fitness=0.035783459
148.43 secs, 1752 evals, 1644 steps, improv/step: 0.358 (last = 0.3333), fitness=0.035783459
148.94 secs, 1758 evals, 1650 steps, improv/step: 0.358 (last = 0.1667), fitness=0.035783459
149.45 secs, 1764 evals, 1656 steps, improv/step: 0.356 (last = 0.0000), fitness=0.035783459
149.96 secs, 1770 evals, 1662 steps, improv/step: 0.356 (last = 0.1667), fitness=0.035783459
150.48 secs, 1776 evals, 1668 steps, improv/step: 0.354 (last = 0.0000), fitness=0.035783459
150.99 secs, 1782 evals, 1674 steps, improv/step: 0.354 (last = 0.1667), fitness=0.035783459
151.51 secs, 1788 evals, 1680 steps, improv/step: 0.354 (last = 0.3333), fitness=0.035783459
152.02 secs, 1794 evals, 1686 steps, improv/step: 0.352 (last = 0.0000), fitness=0.035783459
152.53 secs, 1800 evals, 1692 steps, improv/step: 0.352 (last = 0.1667), fitness=0.035783459
153.04 secs, 1806 evals, 1698 steps, improv/step: 0.352 (last = 0.3333), fitness=0.035783459
153.54 secs, 1812 evals, 1704 steps, improv/step: 0.351 (last = 0.1667), fitness=0.035783459
154.12 secs, 1819 evals, 1711 steps, improv/step: 0.350 (last = 0.0000), fitness=0.035783459
154.63 secs, 1825 evals, 1717 steps, improv/step: 0.349 (last = 0.1667), fitness=0.035783459
155.14 secs, 1831 evals, 1723 steps, improv/step: 0.348 (last = 0.1667), fitness=0.035783459
155.64 secs, 1837 evals, 1730 steps, improv/step: 0.347 (last = 0.1429), fitness=0.035783459
156.22 secs, 1844 evals, 1737 steps, improv/step: 0.347 (last = 0.1429), fitness=0.035783459
156.72 secs, 1850 evals, 1743 steps, improv/step: 0.346 (last = 0.1667), fitness=0.035783459
157.29 secs, 1857 evals, 1750 steps, improv/step: 0.346 (last = 0.2857), fitness=0.035783459
157.87 secs, 1864 evals, 1757 steps, improv/step: 0.345 (last = 0.1429), fitness=0.035783459
158.45 secs, 1871 evals, 1764 steps, improv/step: 0.345 (last = 0.4286), fitness=0.035783459
158.95 secs, 1877 evals, 1770 steps, improv/step: 0.344 (last = 0.0000), fitness=0.035783459
159.45 secs, 1883 evals, 1776 steps, improv/step: 0.344 (last = 0.3333), fitness=0.035783459
159.96 secs, 1889 evals, 1782 steps, improv/step: 0.343 (last = 0.1667), fitness=0.035783459
160.48 secs, 1895 evals, 1788 steps, improv/step: 0.343 (last = 0.3333), fitness=0.035783459
160.99 secs, 1901 evals, 1794 steps, improv/step: 0.343 (last = 0.3333), fitness=0.035783459
161.49 secs, 1907 evals, 1800 steps, improv/step: 0.343 (last = 0.1667), fitness=0.035783459
162.00 secs, 1913 evals, 1806 steps, improv/step: 0.342 (last = 0.0000), fitness=0.035783459
162.52 secs, 1919 evals, 1812 steps, improv/step: 0.341 (last = 0.1667), fitness=0.035783459
163.02 secs, 1925 evals, 1818 steps, improv/step: 0.340 (last = 0.1667), fitness=0.035783459
163.52 secs, 1931 evals, 1824 steps, improv/step: 0.340 (last = 0.3333), fitness=0.035783459
164.03 secs, 1937 evals, 1830 steps, improv/step: 0.340 (last = 0.3333), fitness=0.035783459
164.53 secs, 1943 evals, 1836 steps, improv/step: 0.340 (last = 0.1667), fitness=0.035783459
165.03 secs, 1949 evals, 1842 steps, improv/step: 0.340 (last = 0.5000), fitness=0.035783459
165.62 secs, 1956 evals, 1849 steps, improv/step: 0.340 (last = 0.2857), fitness=0.035783459
166.12 secs, 1962 evals, 1855 steps, improv/step: 0.339 (last = 0.0000), fitness=0.035783459
166.62 secs, 1968 evals, 1861 steps, improv/step: 0.339 (last = 0.1667), fitness=0.035783459
167.13 secs, 1974 evals, 1867 steps, improv/step: 0.338 (last = 0.1667), fitness=0.035783459
167.63 secs, 1980 evals, 1873 steps, improv/step: 0.337 (last = 0.1667), fitness=0.035783459
168.13 secs, 1986 evals, 1879 steps, improv/step: 0.337 (last = 0.1667), fitness=0.035783459
168.64 secs, 1992 evals, 1885 steps, improv/step: 0.337 (last = 0.3333), fitness=0.035783459
169.14 secs, 1998 evals, 1891 steps, improv/step: 0.336 (last = 0.0000), fitness=0.035783459
169.72 secs, 2005 evals, 1898 steps, improv/step: 0.335 (last = 0.1429), fitness=0.035783459
170.31 secs, 2012 evals, 1905 steps, improv/step: 0.334 (last = 0.1429), fitness=0.035783459
170.81 secs, 2018 evals, 1911 steps, improv/step: 0.334 (last = 0.1667), fitness=0.035783459
171.31 secs, 2024 evals, 1917 steps, improv/step: 0.333 (last = 0.1667), fitness=0.035783459
171.82 secs, 2030 evals, 1923 steps, improv/step: 0.333 (last = 0.1667), fitness=0.035783459
172.33 secs, 2036 evals, 1929 steps, improv/step: 0.332 (last = 0.1667), fitness=0.035783459
172.83 secs, 2042 evals, 1935 steps, improv/step: 0.332 (last = 0.1667), fitness=0.035783459
173.34 secs, 2048 evals, 1941 steps, improv/step: 0.331 (last = 0.0000), fitness=0.035783459
173.84 secs, 2054 evals, 1947 steps, improv/step: 0.331 (last = 0.5000), fitness=0.035783459
174.35 secs, 2060 evals, 1953 steps, improv/step: 0.331 (last = 0.3333), fitness=0.035783459
174.85 secs, 2066 evals, 1959 steps, improv/step: 0.331 (last = 0.3333), fitness=0.035783459
175.36 secs, 2072 evals, 1965 steps, improv/step: 0.331 (last = 0.1667), fitness=0.035783459
175.94 secs, 2079 evals, 1972 steps, improv/step: 0.330 (last = 0.0000), fitness=0.035783459
176.51 secs, 2086 evals, 1979 steps, improv/step: 0.329 (last = 0.2857), fitness=0.035783459
177.09 secs, 2093 evals, 1986 steps, improv/step: 0.329 (last = 0.2857), fitness=0.035783459
177.66 secs, 2100 evals, 1993 steps, improv/step: 0.328 (last = 0.0000), fitness=0.035783459
178.24 secs, 2107 evals, 2000 steps, improv/step: 0.327 (last = 0.0000), fitness=0.035783459
178.82 secs, 2114 evals, 2007 steps, improv/step: 0.327 (last = 0.2857), fitness=0.035783459
179.39 secs, 2121 evals, 2014 steps, improv/step: 0.327 (last = 0.2857), fitness=0.035783459
179.96 secs, 2128 evals, 2021 steps, improv/step: 0.326 (last = 0.1429), fitness=0.035783459
180.54 secs, 2135 evals, 2028 steps, improv/step: 0.326 (last = 0.2857), fitness=0.035783459
181.12 secs, 2142 evals, 2035 steps, improv/step: 0.326 (last = 0.2857), fitness=0.035783459
181.62 secs, 2148 evals, 2041 steps, improv/step: 0.326 (last = 0.3333), fitness=0.035783459
182.14 secs, 2154 evals, 2047 steps, improv/step: 0.325 (last = 0.1667), fitness=0.035783459
182.64 secs, 2160 evals, 2053 steps, improv/step: 0.324 (last = 0.0000), fitness=0.035783459
183.15 secs, 2166 evals, 2059 steps, improv/step: 0.324 (last = 0.1667), fitness=0.035783459
183.66 secs, 2172 evals, 2065 steps, improv/step: 0.324 (last = 0.3333), fitness=0.035783459
184.17 secs, 2178 evals, 2071 steps, improv/step: 0.324 (last = 0.3333), fitness=0.035783459
184.68 secs, 2184 evals, 2077 steps, improv/step: 0.323 (last = 0.0000), fitness=0.035783459
185.18 secs, 2190 evals, 2083 steps, improv/step: 0.324 (last = 0.5000), fitness=0.035783459
185.69 secs, 2196 evals, 2089 steps, improv/step: 0.323 (last = 0.0000), fitness=0.035783459
186.20 secs, 2202 evals, 2095 steps, improv/step: 0.322 (last = 0.1667), fitness=0.035783459
186.71 secs, 2208 evals, 2101 steps, improv/step: 0.321 (last = 0.0000), fitness=0.035783459
187.22 secs, 2214 evals, 2107 steps, improv/step: 0.320 (last = 0.0000), fitness=0.035783459
187.72 secs, 2220 evals, 2113 steps, improv/step: 0.319 (last = 0.0000), fitness=0.035783459
188.23 secs, 2226 evals, 2119 steps, improv/step: 0.319 (last = 0.0000), fitness=0.035783459
188.74 secs, 2232 evals, 2125 steps, improv/step: 0.318 (last = 0.1667), fitness=0.035783459
189.25 secs, 2238 evals, 2131 steps, improv/step: 0.318 (last = 0.1667), fitness=0.035783459
189.76 secs, 2244 evals, 2137 steps, improv/step: 0.317 (last = 0.1667), fitness=0.035783459
190.28 secs, 2250 evals, 2143 steps, improv/step: 0.316 (last = 0.0000), fitness=0.035783459
190.79 secs, 2256 evals, 2149 steps, improv/step: 0.316 (last = 0.1667), fitness=0.035783459
191.30 secs, 2262 evals, 2155 steps, improv/step: 0.315 (last = 0.0000), fitness=0.035783459
191.81 secs, 2268 evals, 2161 steps, improv/step: 0.314 (last = 0.0000), fitness=0.035783459
192.34 secs, 2274 evals, 2167 steps, improv/step: 0.313 (last = 0.0000), fitness=0.035783459
192.86 secs, 2280 evals, 2173 steps, improv/step: 0.312 (last = 0.0000), fitness=0.035783459
193.37 secs, 2286 evals, 2179 steps, improv/step: 0.312 (last = 0.0000), fitness=0.035783459
193.88 secs, 2292 evals, 2185 steps, improv/step: 0.311 (last = 0.0000), fitness=0.035783459
194.41 secs, 2298 evals, 2191 steps, improv/step: 0.311 (last = 0.3333), fitness=0.035783459
194.92 secs, 2304 evals, 2197 steps, improv/step: 0.310 (last = 0.1667), fitness=0.035783459
195.43 secs, 2310 evals, 2203 steps, improv/step: 0.310 (last = 0.3333), fitness=0.035783459
195.94 secs, 2316 evals, 2209 steps, improv/step: 0.310 (last = 0.1667), fitness=0.035783459
196.46 secs, 2322 evals, 2215 steps, improv/step: 0.310 (last = 0.1667), fitness=0.035783459
196.99 secs, 2328 evals, 2221 steps, improv/step: 0.309 (last = 0.0000), fitness=0.035783459
197.52 secs, 2334 evals, 2227 steps, improv/step: 0.308 (last = 0.1667), fitness=0.035783459
198.05 secs, 2340 evals, 2233 steps, improv/step: 0.308 (last = 0.1667), fitness=0.035783459
198.58 secs, 2346 evals, 2239 steps, improv/step: 0.307 (last = 0.0000), fitness=0.035783459
199.11 secs, 2352 evals, 2245 steps, improv/step: 0.307 (last = 0.1667), fitness=0.035783459
199.61 secs, 2358 evals, 2251 steps, improv/step: 0.307 (last = 0.3333), fitness=0.035783459
200.13 secs, 2364 evals, 2257 steps, improv/step: 0.306 (last = 0.0000), fitness=0.035783459
200.65 secs, 2370 evals, 2263 steps, improv/step: 0.305 (last = 0.0000), fitness=0.035783459
201.16 secs, 2376 evals, 2269 steps, improv/step: 0.305 (last = 0.0000), fitness=0.035783459
201.66 secs, 2382 evals, 2275 steps, improv/step: 0.304 (last = 0.0000), fitness=0.035783459
202.17 secs, 2388 evals, 2281 steps, improv/step: 0.303 (last = 0.0000), fitness=0.035783459
202.69 secs, 2394 evals, 2287 steps, improv/step: 0.302 (last = 0.0000), fitness=0.035783459
203.19 secs, 2400 evals, 2293 steps, improv/step: 0.302 (last = 0.1667), fitness=0.035783459
203.70 secs, 2406 evals, 2299 steps, improv/step: 0.301 (last = 0.1667), fitness=0.035783459
204.21 secs, 2412 evals, 2305 steps, improv/step: 0.301 (last = 0.0000), fitness=0.035783459
204.73 secs, 2418 evals, 2311 steps, improv/step: 0.300 (last = 0.0000), fitness=0.035783459
205.24 secs, 2424 evals, 2317 steps, improv/step: 0.299 (last = 0.0000), fitness=0.035783459
205.76 secs, 2430 evals, 2323 steps, improv/step: 0.299 (last = 0.3333), fitness=0.035783459
206.28 secs, 2436 evals, 2329 steps, improv/step: 0.299 (last = 0.1667), fitness=0.035783459
206.80 secs, 2442 evals, 2335 steps, improv/step: 0.298 (last = 0.0000), fitness=0.035783459
207.30 secs, 2448 evals, 2341 steps, improv/step: 0.298 (last = 0.1667), fitness=0.035783459
207.81 secs, 2454 evals, 2347 steps, improv/step: 0.297 (last = 0.0000), fitness=0.035783459
208.32 secs, 2460 evals, 2353 steps, improv/step: 0.297 (last = 0.3333), fitness=0.035783459
208.84 secs, 2466 evals, 2359 steps, improv/step: 0.297 (last = 0.1667), fitness=0.035783459
209.34 secs, 2472 evals, 2365 steps, improv/step: 0.296 (last = 0.1667), fitness=0.035783459
209.85 secs, 2478 evals, 2371 steps, improv/step: 0.296 (last = 0.3333), fitness=0.035783459
210.36 secs, 2484 evals, 2377 steps, improv/step: 0.296 (last = 0.1667), fitness=0.035783459
210.87 secs, 2490 evals, 2383 steps, improv/step: 0.296 (last = 0.1667), fitness=0.035783459
211.38 secs, 2496 evals, 2389 steps, improv/step: 0.295 (last = 0.0000), fitness=0.035783459
211.89 secs, 2502 evals, 2395 steps, improv/step: 0.295 (last = 0.3333), fitness=0.035783459
212.40 secs, 2508 evals, 2401 steps, improv/step: 0.294 (last = 0.0000), fitness=0.035783459
212.92 secs, 2514 evals, 2407 steps, improv/step: 0.294 (last = 0.1667), fitness=0.035783459
213.43 secs, 2520 evals, 2413 steps, improv/step: 0.293 (last = 0.0000), fitness=0.035783459
213.94 secs, 2526 evals, 2419 steps, improv/step: 0.293 (last = 0.1667), fitness=0.035783459
214.45 secs, 2532 evals, 2425 steps, improv/step: 0.293 (last = 0.1667), fitness=0.035783459
214.97 secs, 2538 evals, 2431 steps, improv/step: 0.292 (last = 0.1667), fitness=0.035783459
215.47 secs, 2544 evals, 2437 steps, improv/step: 0.293 (last = 0.5000), fitness=0.035783459
215.98 secs, 2550 evals, 2443 steps, improv/step: 0.292 (last = 0.0000), fitness=0.035783459
216.49 secs, 2556 evals, 2449 steps, improv/step: 0.293 (last = 0.5000), fitness=0.035783459
217.01 secs, 2562 evals, 2455 steps, improv/step: 0.292 (last = 0.1667), fitness=0.035783459
217.52 secs, 2568 evals, 2461 steps, improv/step: 0.292 (last = 0.1667), fitness=0.035783459
218.03 secs, 2574 evals, 2467 steps, improv/step: 0.291 (last = 0.0000), fitness=0.035783459
218.54 secs, 2580 evals, 2473 steps, improv/step: 0.291 (last = 0.1667), fitness=0.035783459
219.07 secs, 2586 evals, 2479 steps, improv/step: 0.291 (last = 0.3333), fitness=0.035783459
219.58 secs, 2592 evals, 2485 steps, improv/step: 0.291 (last = 0.1667), fitness=0.035783459
220.10 secs, 2598 evals, 2492 steps, improv/step: 0.290 (last = 0.0000), fitness=0.035783459
220.61 secs, 2604 evals, 2498 steps, improv/step: 0.291 (last = 0.5000), fitness=0.035783459
221.13 secs, 2610 evals, 2504 steps, improv/step: 0.290 (last = 0.0000), fitness=0.035783459
221.66 secs, 2616 evals, 2510 steps, improv/step: 0.290 (last = 0.1667), fitness=0.035783459
222.18 secs, 2622 evals, 2516 steps, improv/step: 0.290 (last = 0.3333), fitness=0.035783459
222.70 secs, 2628 evals, 2522 steps, improv/step: 0.289 (last = 0.1667), fitness=0.035783459
223.22 secs, 2634 evals, 2528 steps, improv/step: 0.289 (last = 0.0000), fitness=0.035783459
223.73 secs, 2640 evals, 2534 steps, improv/step: 0.289 (last = 0.5000), fitness=0.035783459
224.24 secs, 2646 evals, 2540 steps, improv/step: 0.289 (last = 0.1667), fitness=0.035783459
224.76 secs, 2652 evals, 2546 steps, improv/step: 0.288 (last = 0.0000), fitness=0.035783459
225.28 secs, 2658 evals, 2552 steps, improv/step: 0.288 (last = 0.0000), fitness=0.035783459
225.79 secs, 2664 evals, 2558 steps, improv/step: 0.287 (last = 0.0000), fitness=0.035783459
226.30 secs, 2670 evals, 2564 steps, improv/step: 0.287 (last = 0.3333), fitness=0.035783459
226.82 secs, 2676 evals, 2570 steps, improv/step: 0.287 (last = 0.3333), fitness=0.035783459
227.34 secs, 2682 evals, 2576 steps, improv/step: 0.287 (last = 0.3333), fitness=0.035783459
227.85 secs, 2688 evals, 2582 steps, improv/step: 0.287 (last = 0.0000), fitness=0.035783459
228.38 secs, 2694 evals, 2588 steps, improv/step: 0.286 (last = 0.1667), fitness=0.035783459
228.89 secs, 2700 evals, 2594 steps, improv/step: 0.286 (last = 0.0000), fitness=0.035783459
229.41 secs, 2706 evals, 2600 steps, improv/step: 0.285 (last = 0.1667), fitness=0.035783459
229.92 secs, 2712 evals, 2606 steps, improv/step: 0.285 (last = 0.1667), fitness=0.035783459
230.43 secs, 2718 evals, 2612 steps, improv/step: 0.285 (last = 0.3333), fitness=0.035783459
230.94 secs, 2724 evals, 2618 steps, improv/step: 0.285 (last = 0.0000), fitness=0.035783459
231.45 secs, 2730 evals, 2624 steps, improv/step: 0.284 (last = 0.0000), fitness=0.035783459
231.96 secs, 2736 evals, 2630 steps, improv/step: 0.283 (last = 0.0000), fitness=0.035783459
232.47 secs, 2742 evals, 2636 steps, improv/step: 0.283 (last = 0.0000), fitness=0.035783459
232.99 secs, 2748 evals, 2642 steps, improv/step: 0.283 (last = 0.5000), fitness=0.035783459
233.51 secs, 2754 evals, 2648 steps, improv/step: 0.282 (last = 0.0000), fitness=0.035783459
234.03 secs, 2760 evals, 2654 steps, improv/step: 0.282 (last = 0.1667), fitness=0.035783459
234.54 secs, 2766 evals, 2660 steps, improv/step: 0.282 (last = 0.1667), fitness=0.035783459
235.06 secs, 2772 evals, 2666 steps, improv/step: 0.281 (last = 0.0000), fitness=0.035783459
235.57 secs, 2778 evals, 2672 steps, improv/step: 0.281 (last = 0.1667), fitness=0.035783459
236.09 secs, 2784 evals, 2678 steps, improv/step: 0.281 (last = 0.1667), fitness=0.035783459
236.60 secs, 2790 evals, 2684 steps, improv/step: 0.280 (last = 0.0000), fitness=0.035783459
237.11 secs, 2796 evals, 2690 steps, improv/step: 0.280 (last = 0.1667), fitness=0.035783459
237.64 secs, 2802 evals, 2696 steps, improv/step: 0.280 (last = 0.1667), fitness=0.035783459
238.15 secs, 2808 evals, 2702 steps, improv/step: 0.279 (last = 0.0000), fitness=0.035783459
238.67 secs, 2814 evals, 2708 steps, improv/step: 0.279 (last = 0.1667), fitness=0.035783459
239.19 secs, 2820 evals, 2714 steps, improv/step: 0.279 (last = 0.1667), fitness=0.035783459
239.71 secs, 2826 evals, 2720 steps, improv/step: 0.278 (last = 0.0000), fitness=0.035783459
240.23 secs, 2832 evals, 2726 steps, improv/step: 0.277 (last = 0.0000), fitness=0.035783459
240.75 secs, 2838 evals, 2732 steps, improv/step: 0.277 (last = 0.0000), fitness=0.035783459
241.29 secs, 2844 evals, 2738 steps, improv/step: 0.276 (last = 0.1667), fitness=0.035783459
241.81 secs, 2850 evals, 2744 steps, improv/step: 0.276 (last = 0.0000), fitness=0.035783459
242.33 secs, 2856 evals, 2750 steps, improv/step: 0.275 (last = 0.0000), fitness=0.035783459
242.86 secs, 2862 evals, 2756 steps, improv/step: 0.276 (last = 0.5000), fitness=0.035783459
243.40 secs, 2868 evals, 2762 steps, improv/step: 0.276 (last = 0.1667), fitness=0.035783459
243.92 secs, 2874 evals, 2768 steps, improv/step: 0.275 (last = 0.0000), fitness=0.035783459
244.45 secs, 2880 evals, 2774 steps, improv/step: 0.275 (last = 0.3333), fitness=0.035783459
244.97 secs, 2886 evals, 2780 steps, improv/step: 0.275 (last = 0.3333), fitness=0.035783459
245.50 secs, 2892 evals, 2786 steps, improv/step: 0.276 (last = 0.5000), fitness=0.035783459
246.02 secs, 2898 evals, 2792 steps, improv/step: 0.276 (last = 0.3333), fitness=0.035783459
246.56 secs, 2904 evals, 2798 steps, improv/step: 0.276 (last = 0.3333), fitness=0.035783459
247.07 secs, 2910 evals, 2804 steps, improv/step: 0.275 (last = 0.0000), fitness=0.035783459
247.59 secs, 2916 evals, 2810 steps, improv/step: 0.275 (last = 0.0000), fitness=0.035783459
248.10 secs, 2922 evals, 2816 steps, improv/step: 0.275 (last = 0.5000), fitness=0.035783459
248.62 secs, 2928 evals, 2822 steps, improv/step: 0.275 (last = 0.0000), fitness=0.035783459
249.13 secs, 2934 evals, 2828 steps, improv/step: 0.274 (last = 0.1667), fitness=0.035783459
249.65 secs, 2940 evals, 2834 steps, improv/step: 0.275 (last = 0.5000), fitness=0.035783459
250.16 secs, 2946 evals, 2840 steps, improv/step: 0.275 (last = 0.3333), fitness=0.035783459
250.68 secs, 2952 evals, 2846 steps, improv/step: 0.274 (last = 0.0000), fitness=0.035783459
251.19 secs, 2958 evals, 2852 steps, improv/step: 0.274 (last = 0.1667), fitness=0.035783459
251.72 secs, 2964 evals, 2858 steps, improv/step: 0.274 (last = 0.3333), fitness=0.035783459
252.25 secs, 2970 evals, 2864 steps, improv/step: 0.274 (last = 0.3333), fitness=0.035783459
252.78 secs, 2976 evals, 2870 steps, improv/step: 0.274 (last = 0.1667), fitness=0.035783459
253.29 secs, 2982 evals, 2876 steps, improv/step: 0.274 (last = 0.3333), fitness=0.035783459
253.82 secs, 2988 evals, 2882 steps, improv/step: 0.274 (last = 0.1667), fitness=0.035783459
254.33 secs, 2994 evals, 2888 steps, improv/step: 0.274 (last = 0.3333), fitness=0.035783459
254.86 secs, 3000 evals, 2894 steps, improv/step: 0.274 (last = 0.0000), fitness=0.035783459
255.38 secs, 3006 evals, 2900 steps, improv/step: 0.273 (last = 0.1667), fitness=0.035783459
255.91 secs, 3012 evals, 2906 steps, improv/step: 0.273 (last = 0.1667), fitness=0.035783459
256.43 secs, 3018 evals, 2912 steps, improv/step: 0.273 (last = 0.3333), fitness=0.035783459
256.94 secs, 3024 evals, 2918 steps, improv/step: 0.273 (last = 0.1667), fitness=0.035783459
257.46 secs, 3030 evals, 2924 steps, improv/step: 0.273 (last = 0.3333), fitness=0.035783459
257.99 secs, 3036 evals, 2930 steps, improv/step: 0.273 (last = 0.1667), fitness=0.035783459
258.51 secs, 3042 evals, 2936 steps, improv/step: 0.272 (last = 0.0000), fitness=0.035783459
259.05 secs, 3048 evals, 2942 steps, improv/step: 0.273 (last = 0.3333), fitness=0.035783459
259.57 secs, 3054 evals, 2948 steps, improv/step: 0.272 (last = 0.1667), fitness=0.035783459
260.10 secs, 3060 evals, 2954 steps, improv/step: 0.273 (last = 0.5000), fitness=0.035783459
260.61 secs, 3066 evals, 2960 steps, improv/step: 0.272 (last = 0.0000), fitness=0.035783459
261.12 secs, 3072 evals, 2966 steps, improv/step: 0.272 (last = 0.1667), fitness=0.035783459
261.64 secs, 3078 evals, 2972 steps, improv/step: 0.272 (last = 0.1667), fitness=0.035783459
262.15 secs, 3084 evals, 2978 steps, improv/step: 0.272 (last = 0.1667), fitness=0.035783459
262.66 secs, 3090 evals, 2984 steps, improv/step: 0.271 (last = 0.1667), fitness=0.035783459
263.17 secs, 3096 evals, 2990 steps, improv/step: 0.271 (last = 0.0000), fitness=0.035783459
263.68 secs, 3102 evals, 2996 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035783459
264.20 secs, 3108 evals, 3002 steps, improv/step: 0.270 (last = 0.0000), fitness=0.035783459
264.71 secs, 3114 evals, 3008 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035783459
265.29 secs, 3121 evals, 3015 steps, improv/step: 0.270 (last = 0.1429), fitness=0.035783459
265.79 secs, 3127 evals, 3021 steps, improv/step: 0.270 (last = 0.3333), fitness=0.035783459
266.31 secs, 3133 evals, 3027 steps, improv/step: 0.270 (last = 0.1667), fitness=0.035783459
266.81 secs, 3139 evals, 3033 steps, improv/step: 0.271 (last = 0.5000), fitness=0.035783459
267.31 secs, 3145 evals, 3039 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035783459
267.82 secs, 3151 evals, 3045 steps, improv/step: 0.271 (last = 0.1667), fitness=0.035783459
268.34 secs, 3157 evals, 3051 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035783459
268.85 secs, 3163 evals, 3057 steps, improv/step: 0.271 (last = 0.1667), fitness=0.035783459
269.36 secs, 3169 evals, 3063 steps, improv/step: 0.270 (last = 0.1667), fitness=0.035783459
269.88 secs, 3175 evals, 3069 steps, improv/step: 0.270 (last = 0.0000), fitness=0.035783459
270.39 secs, 3181 evals, 3075 steps, improv/step: 0.269 (last = 0.0000), fitness=0.035783459
270.92 secs, 3187 evals, 3081 steps, improv/step: 0.269 (last = 0.1667), fitness=0.035783459
271.43 secs, 3193 evals, 3087 steps, improv/step: 0.269 (last = 0.1667), fitness=0.035783459
271.93 secs, 3199 evals, 3093 steps, improv/step: 0.269 (last = 0.3333), fitness=0.035783459
272.46 secs, 3205 evals, 3099 steps, improv/step: 0.269 (last = 0.1667), fitness=0.035783459
272.96 secs, 3211 evals, 3105 steps, improv/step: 0.270 (last = 0.6667), fitness=0.035783459
273.47 secs, 3217 evals, 3111 steps, improv/step: 0.270 (last = 0.3333), fitness=0.035783459
273.97 secs, 3223 evals, 3117 steps, improv/step: 0.270 (last = 0.3333), fitness=0.035783459
274.49 secs, 3229 evals, 3123 steps, improv/step: 0.270 (last = 0.1667), fitness=0.035783459
275.00 secs, 3235 evals, 3129 steps, improv/step: 0.269 (last = 0.0000), fitness=0.035783459
275.51 secs, 3241 evals, 3135 steps, improv/step: 0.269 (last = 0.1667), fitness=0.035783459
276.01 secs, 3247 evals, 3141 steps, improv/step: 0.269 (last = 0.1667), fitness=0.035783459
276.52 secs, 3253 evals, 3147 steps, improv/step: 0.269 (last = 0.5000), fitness=0.035783459
277.03 secs, 3259 evals, 3153 steps, improv/step: 0.269 (last = 0.3333), fitness=0.035783459
277.54 secs, 3265 evals, 3159 steps, improv/step: 0.269 (last = 0.1667), fitness=0.035783459
278.05 secs, 3271 evals, 3165 steps, improv/step: 0.269 (last = 0.0000), fitness=0.035783459
278.58 secs, 3277 evals, 3171 steps, improv/step: 0.268 (last = 0.1667), fitness=0.035783459
279.10 secs, 3283 evals, 3177 steps, improv/step: 0.268 (last = 0.3333), fitness=0.035783459
279.61 secs, 3289 evals, 3183 steps, improv/step: 0.268 (last = 0.1667), fitness=0.035783459
280.12 secs, 3295 evals, 3189 steps, improv/step: 0.268 (last = 0.1667), fitness=0.035783459
280.64 secs, 3301 evals, 3195 steps, improv/step: 0.268 (last = 0.1667), fitness=0.035783459
281.17 secs, 3307 evals, 3201 steps, improv/step: 0.268 (last = 0.3333), fitness=0.035783459
281.68 secs, 3313 evals, 3207 steps, improv/step: 0.268 (last = 0.3333), fitness=0.035783459
282.19 secs, 3319 evals, 3213 steps, improv/step: 0.269 (last = 0.6667), fitness=0.035783459
282.73 secs, 3325 evals, 3219 steps, improv/step: 0.269 (last = 0.1667), fitness=0.035783459
283.25 secs, 3331 evals, 3225 steps, improv/step: 0.269 (last = 0.3333), fitness=0.035783459
283.83 secs, 3338 evals, 3232 steps, improv/step: 0.269 (last = 0.2857), fitness=0.035783459
284.33 secs, 3344 evals, 3238 steps, improv/step: 0.269 (last = 0.1667), fitness=0.035783459
284.91 secs, 3351 evals, 3245 steps, improv/step: 0.269 (last = 0.2857), fitness=0.035783459
285.49 secs, 3358 evals, 3252 steps, improv/step: 0.268 (last = 0.0000), fitness=0.035783459
286.07 secs, 3365 evals, 3259 steps, improv/step: 0.268 (last = 0.2857), fitness=0.035783459
286.65 secs, 3372 evals, 3266 steps, improv/step: 0.268 (last = 0.1429), fitness=0.035783459
287.23 secs, 3379 evals, 3273 steps, improv/step: 0.268 (last = 0.4286), fitness=0.035783459
287.81 secs, 3386 evals, 3280 steps, improv/step: 0.268 (last = 0.1429), fitness=0.035783459
288.31 secs, 3392 evals, 3286 steps, improv/step: 0.268 (last = 0.5000), fitness=0.035783459
288.82 secs, 3398 evals, 3292 steps, improv/step: 0.269 (last = 0.3333), fitness=0.035783459
289.34 secs, 3404 evals, 3298 steps, improv/step: 0.268 (last = 0.1667), fitness=0.035783459
289.85 secs, 3410 evals, 3304 steps, improv/step: 0.269 (last = 0.5000), fitness=0.035783459
290.37 secs, 3416 evals, 3310 steps, improv/step: 0.269 (last = 0.1667), fitness=0.035783459
290.88 secs, 3422 evals, 3316 steps, improv/step: 0.268 (last = 0.1667), fitness=0.035783459
291.39 secs, 3428 evals, 3322 steps, improv/step: 0.269 (last = 0.3333), fitness=0.035783459
291.90 secs, 3434 evals, 3328 steps, improv/step: 0.268 (last = 0.1667), fitness=0.035783459
292.42 secs, 3440 evals, 3334 steps, improv/step: 0.268 (last = 0.3333), fitness=0.035783459
292.93 secs, 3446 evals, 3340 steps, improv/step: 0.269 (last = 0.5000), fitness=0.035783459
293.51 secs, 3452 evals, 3346 steps, improv/step: 0.269 (last = 0.1667), fitness=0.035783459
294.02 secs, 3458 evals, 3352 steps, improv/step: 0.269 (last = 0.3333), fitness=0.035783459
294.53 secs, 3464 evals, 3358 steps, improv/step: 0.269 (last = 0.1667), fitness=0.035783459
295.04 secs, 3470 evals, 3364 steps, improv/step: 0.269 (last = 0.3333), fitness=0.035783459
295.54 secs, 3476 evals, 3370 steps, improv/step: 0.268 (last = 0.0000), fitness=0.035783459
296.05 secs, 3482 evals, 3376 steps, improv/step: 0.268 (last = 0.1667), fitness=0.035783459
296.56 secs, 3488 evals, 3382 steps, improv/step: 0.268 (last = 0.5000), fitness=0.035783459
297.07 secs, 3494 evals, 3388 steps, improv/step: 0.269 (last = 0.3333), fitness=0.035783459
297.57 secs, 3500 evals, 3394 steps, improv/step: 0.269 (last = 0.3333), fitness=0.035783459
298.09 secs, 3506 evals, 3400 steps, improv/step: 0.269 (last = 0.3333), fitness=0.035783459
298.61 secs, 3512 evals, 3406 steps, improv/step: 0.269 (last = 0.3333), fitness=0.035783459
299.12 secs, 3518 evals, 3412 steps, improv/step: 0.269 (last = 0.1667), fitness=0.035783459
299.62 secs, 3524 evals, 3418 steps, improv/step: 0.269 (last = 0.1667), fitness=0.035783459
300.13 secs, 3530 evals, 3424 steps, improv/step: 0.270 (last = 0.8333), fitness=0.035783459
300.65 secs, 3536 evals, 3430 steps, improv/step: 0.270 (last = 0.5000), fitness=0.035783459
301.16 secs, 3542 evals, 3436 steps, improv/step: 0.270 (last = 0.3333), fitness=0.035783459
301.66 secs, 3548 evals, 3442 steps, improv/step: 0.270 (last = 0.1667), fitness=0.035783459
302.17 secs, 3554 evals, 3448 steps, improv/step: 0.269 (last = 0.0000), fitness=0.035783459
302.68 secs, 3560 evals, 3454 steps, improv/step: 0.270 (last = 0.3333), fitness=0.035783459
303.18 secs, 3566 evals, 3460 steps, improv/step: 0.270 (last = 0.6667), fitness=0.035783459
303.69 secs, 3572 evals, 3466 steps, improv/step: 0.270 (last = 0.3333), fitness=0.035783459
304.21 secs, 3578 evals, 3472 steps, improv/step: 0.270 (last = 0.1667), fitness=0.035783459
304.74 secs, 3584 evals, 3478 steps, improv/step: 0.270 (last = 0.3333), fitness=0.035783459
305.26 secs, 3590 evals, 3484 steps, improv/step: 0.271 (last = 0.5000), fitness=0.035783459
305.78 secs, 3596 evals, 3490 steps, improv/step: 0.270 (last = 0.1667), fitness=0.035783459
306.29 secs, 3602 evals, 3496 steps, improv/step: 0.271 (last = 0.5000), fitness=0.035783459
306.81 secs, 3608 evals, 3502 steps, improv/step: 0.271 (last = 0.1667), fitness=0.035783459
307.31 secs, 3614 evals, 3508 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035783459
307.81 secs, 3620 evals, 3514 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035783459
308.32 secs, 3626 evals, 3520 steps, improv/step: 0.271 (last = 0.1667), fitness=0.035783459
308.83 secs, 3632 evals, 3526 steps, improv/step: 0.271 (last = 0.1667), fitness=0.035783459
309.34 secs, 3638 evals, 3532 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035783459
309.85 secs, 3644 evals, 3538 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035783459
310.35 secs, 3650 evals, 3544 steps, improv/step: 0.271 (last = 0.1667), fitness=0.035783459
310.87 secs, 3656 evals, 3550 steps, improv/step: 0.271 (last = 0.5000), fitness=0.035783459
311.38 secs, 3662 evals, 3556 steps, improv/step: 0.271 (last = 0.0000), fitness=0.035783459
311.90 secs, 3668 evals, 3562 steps, improv/step: 0.271 (last = 0.5000), fitness=0.035783459
312.41 secs, 3674 evals, 3568 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035783459
312.94 secs, 3680 evals, 3574 steps, improv/step: 0.271 (last = 0.1667), fitness=0.035783459
313.46 secs, 3686 evals, 3580 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035783459
313.97 secs, 3692 evals, 3586 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035783459
314.48 secs, 3698 evals, 3592 steps, improv/step: 0.271 (last = 0.1667), fitness=0.035783459
314.99 secs, 3704 evals, 3598 steps, improv/step: 0.271 (last = 0.1667), fitness=0.035783459
315.51 secs, 3710 evals, 3604 steps, improv/step: 0.271 (last = 0.1667), fitness=0.035783459
316.02 secs, 3716 evals, 3610 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035783459
316.53 secs, 3722 evals, 3616 steps, improv/step: 0.270 (last = 0.0000), fitness=0.035783459
317.04 secs, 3728 evals, 3622 steps, improv/step: 0.270 (last = 0.1667), fitness=0.035783459
317.54 secs, 3734 evals, 3628 steps, improv/step: 0.270 (last = 0.3333), fitness=0.035783459
318.04 secs, 3740 evals, 3634 steps, improv/step: 0.270 (last = 0.0000), fitness=0.035783459
318.55 secs, 3746 evals, 3640 steps, improv/step: 0.270 (last = 0.1667), fitness=0.035783459
319.05 secs, 3752 evals, 3646 steps, improv/step: 0.269 (last = 0.1667), fitness=0.035783459
319.63 secs, 3759 evals, 3653 steps, improv/step: 0.269 (last = 0.1429), fitness=0.035783459
320.20 secs, 3766 evals, 3660 steps, improv/step: 0.269 (last = 0.4286), fitness=0.035783459
320.78 secs, 3773 evals, 3667 steps, improv/step: 0.269 (last = 0.0000), fitness=0.035783459
321.28 secs, 3779 evals, 3673 steps, improv/step: 0.268 (last = 0.0000), fitness=0.035783459
321.87 secs, 3786 evals, 3680 steps, improv/step: 0.268 (last = 0.2857), fitness=0.035783459
322.37 secs, 3792 evals, 3686 steps, improv/step: 0.269 (last = 0.3333), fitness=0.035783459
322.89 secs, 3798 evals, 3692 steps, improv/step: 0.268 (last = 0.1667), fitness=0.035783459
323.46 secs, 3805 evals, 3699 steps, improv/step: 0.268 (last = 0.2857), fitness=0.035783459
324.03 secs, 3812 evals, 3706 steps, improv/step: 0.269 (last = 0.4286), fitness=0.035783459
324.53 secs, 3818 evals, 3712 steps, improv/step: 0.269 (last = 0.3333), fitness=0.035783459
325.05 secs, 3824 evals, 3718 steps, improv/step: 0.269 (last = 0.1667), fitness=0.035783459
325.55 secs, 3830 evals, 3724 steps, improv/step: 0.269 (last = 0.1667), fitness=0.035783459
326.05 secs, 3836 evals, 3730 steps, improv/step: 0.268 (last = 0.1667), fitness=0.035783459
326.56 secs, 3842 evals, 3736 steps, improv/step: 0.268 (last = 0.3333), fitness=0.035783459
327.07 secs, 3848 evals, 3742 steps, improv/step: 0.268 (last = 0.0000), fitness=0.035783459
327.58 secs, 3854 evals, 3748 steps, improv/step: 0.268 (last = 0.5000), fitness=0.035783459
328.08 secs, 3860 evals, 3754 steps, improv/step: 0.269 (last = 0.5000), fitness=0.035783459
328.59 secs, 3866 evals, 3760 steps, improv/step: 0.269 (last = 0.6667), fitness=0.035783459
329.10 secs, 3872 evals, 3766 steps, improv/step: 0.270 (last = 0.6667), fitness=0.035783459
329.60 secs, 3878 evals, 3772 steps, improv/step: 0.271 (last = 0.6667), fitness=0.035783459
330.11 secs, 3884 evals, 3778 steps, improv/step: 0.271 (last = 0.1667), fitness=0.035783459
330.61 secs, 3890 evals, 3784 steps, improv/step: 0.270 (last = 0.1667), fitness=0.035783459
331.13 secs, 3896 evals, 3790 steps, improv/step: 0.270 (last = 0.1667), fitness=0.035783459
331.64 secs, 3902 evals, 3796 steps, improv/step: 0.270 (last = 0.1667), fitness=0.035783459
332.14 secs, 3908 evals, 3802 steps, improv/step: 0.270 (last = 0.1667), fitness=0.035783459
332.64 secs, 3914 evals, 3808 steps, improv/step: 0.270 (last = 0.6667), fitness=0.035783459
333.16 secs, 3920 evals, 3814 steps, improv/step: 0.270 (last = 0.0000), fitness=0.035783459
333.66 secs, 3926 evals, 3820 steps, improv/step: 0.270 (last = 0.0000), fitness=0.035783459
334.17 secs, 3932 evals, 3826 steps, improv/step: 0.269 (last = 0.1667), fitness=0.035783459
334.68 secs, 3938 evals, 3832 steps, improv/step: 0.270 (last = 0.3333), fitness=0.035783459
335.18 secs, 3944 evals, 3838 steps, improv/step: 0.269 (last = 0.0000), fitness=0.035783459
335.77 secs, 3951 evals, 3845 steps, improv/step: 0.269 (last = 0.2857), fitness=0.035783459
336.35 secs, 3958 evals, 3852 steps, improv/step: 0.269 (last = 0.2857), fitness=0.035783459
336.85 secs, 3964 evals, 3858 steps, improv/step: 0.270 (last = 0.5000), fitness=0.035783459
337.36 secs, 3970 evals, 3864 steps, improv/step: 0.270 (last = 0.5000), fitness=0.035783459
337.86 secs, 3976 evals, 3870 steps, improv/step: 0.270 (last = 0.5000), fitness=0.035783459
338.36 secs, 3982 evals, 3876 steps, improv/step: 0.270 (last = 0.1667), fitness=0.035783459
338.87 secs, 3988 evals, 3882 steps, improv/step: 0.270 (last = 0.3333), fitness=0.035783459
339.37 secs, 3994 evals, 3888 steps, improv/step: 0.270 (last = 0.1667), fitness=0.035783459
339.88 secs, 4000 evals, 3894 steps, improv/step: 0.270 (last = 0.3333), fitness=0.035783459
340.40 secs, 4006 evals, 3900 steps, improv/step: 0.270 (last = 0.3333), fitness=0.035783459
340.91 secs, 4012 evals, 3906 steps, improv/step: 0.271 (last = 0.5000), fitness=0.035783459
341.42 secs, 4018 evals, 3912 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035783459
341.92 secs, 4024 evals, 3918 steps, improv/step: 0.271 (last = 0.5000), fitness=0.035783459
342.43 secs, 4030 evals, 3924 steps, improv/step: 0.271 (last = 0.1667), fitness=0.035783459
342.93 secs, 4036 evals, 3930 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035783459
343.44 secs, 4042 evals, 3936 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035783459
343.94 secs, 4048 evals, 3942 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035783459
344.45 secs, 4054 evals, 3948 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035783459
344.96 secs, 4060 evals, 3954 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035783459
345.47 secs, 4066 evals, 3960 steps, improv/step: 0.272 (last = 0.6667), fitness=0.035783459
345.98 secs, 4072 evals, 3966 steps, improv/step: 0.272 (last = 0.3333), fitness=0.035783459
346.49 secs, 4078 evals, 3972 steps, improv/step: 0.272 (last = 0.1667), fitness=0.035783459
347.02 secs, 4084 evals, 3978 steps, improv/step: 0.272 (last = 0.1667), fitness=0.035783459
347.52 secs, 4090 evals, 3984 steps, improv/step: 0.272 (last = 0.5000), fitness=0.035783459
348.04 secs, 4096 evals, 3990 steps, improv/step: 0.272 (last = 0.3333), fitness=0.035783459
348.55 secs, 4102 evals, 3996 steps, improv/step: 0.272 (last = 0.3333), fitness=0.035783459
349.07 secs, 4108 evals, 4002 steps, improv/step: 0.272 (last = 0.3333), fitness=0.035783459
349.58 secs, 4114 evals, 4008 steps, improv/step: 0.272 (last = 0.3333), fitness=0.035783459
350.09 secs, 4120 evals, 4014 steps, improv/step: 0.272 (last = 0.1667), fitness=0.035783459
350.60 secs, 4126 evals, 4020 steps, improv/step: 0.272 (last = 0.1667), fitness=0.035783459
351.12 secs, 4132 evals, 4026 steps, improv/step: 0.272 (last = 0.5000), fitness=0.035783459
351.63 secs, 4138 evals, 4032 steps, improv/step: 0.272 (last = 0.1667), fitness=0.035783459
352.14 secs, 4144 evals, 4038 steps, improv/step: 0.273 (last = 0.5000), fitness=0.035783459
352.66 secs, 4150 evals, 4044 steps, improv/step: 0.273 (last = 0.5000), fitness=0.035783459
353.17 secs, 4156 evals, 4050 steps, improv/step: 0.273 (last = 0.5000), fitness=0.035783459
353.69 secs, 4162 evals, 4056 steps, improv/step: 0.273 (last = 0.1667), fitness=0.035783459
354.20 secs, 4168 evals, 4062 steps, improv/step: 0.273 (last = 0.1667), fitness=0.035783459
354.71 secs, 4174 evals, 4068 steps, improv/step: 0.273 (last = 0.0000), fitness=0.035783459
355.23 secs, 4180 evals, 4074 steps, improv/step: 0.272 (last = 0.1667), fitness=0.035783459
355.74 secs, 4186 evals, 4080 steps, improv/step: 0.273 (last = 0.3333), fitness=0.035783459
356.25 secs, 4192 evals, 4086 steps, improv/step: 0.272 (last = 0.0000), fitness=0.035783459
356.76 secs, 4198 evals, 4092 steps, improv/step: 0.273 (last = 0.8333), fitness=0.035783459
357.27 secs, 4204 evals, 4098 steps, improv/step: 0.273 (last = 0.5000), fitness=0.035783459
357.78 secs, 4210 evals, 4104 steps, improv/step: 0.273 (last = 0.0000), fitness=0.035783459
358.29 secs, 4216 evals, 4110 steps, improv/step: 0.273 (last = 0.3333), fitness=0.035783459
358.80 secs, 4222 evals, 4116 steps, improv/step: 0.273 (last = 0.1667), fitness=0.035783459
359.32 secs, 4228 evals, 4122 steps, improv/step: 0.272 (last = 0.0000), fitness=0.035783459
359.84 secs, 4234 evals, 4128 steps, improv/step: 0.273 (last = 0.3333), fitness=0.035783459
360.35 secs, 4240 evals, 4134 steps, improv/step: 0.273 (last = 0.5000), fitness=0.035783459
360.87 secs, 4246 evals, 4140 steps, improv/step: 0.273 (last = 0.3333), fitness=0.035783459
361.39 secs, 4252 evals, 4146 steps, improv/step: 0.273 (last = 0.3333), fitness=0.035783459
361.90 secs, 4258 evals, 4152 steps, improv/step: 0.273 (last = 0.3333), fitness=0.035783459
362.41 secs, 4264 evals, 4158 steps, improv/step: 0.273 (last = 0.3333), fitness=0.035783459
362.93 secs, 4270 evals, 4164 steps, improv/step: 0.273 (last = 0.1667), fitness=0.035783459
363.45 secs, 4276 evals, 4170 steps, improv/step: 0.273 (last = 0.3333), fitness=0.035783459
363.96 secs, 4282 evals, 4176 steps, improv/step: 0.273 (last = 0.1667), fitness=0.035783459
364.47 secs, 4288 evals, 4182 steps, improv/step: 0.273 (last = 0.0000), fitness=0.035783459
364.98 secs, 4294 evals, 4188 steps, improv/step: 0.273 (last = 0.3333), fitness=0.035783459
365.50 secs, 4300 evals, 4194 steps, improv/step: 0.273 (last = 0.3333), fitness=0.035783459
366.01 secs, 4306 evals, 4200 steps, improv/step: 0.273 (last = 0.3333), fitness=0.035783459
366.51 secs, 4312 evals, 4206 steps, improv/step: 0.272 (last = 0.0000), fitness=0.035783459
367.02 secs, 4318 evals, 4212 steps, improv/step: 0.272 (last = 0.1667), fitness=0.035783459
367.53 secs, 4324 evals, 4218 steps, improv/step: 0.272 (last = 0.3333), fitness=0.035783459
368.04 secs, 4330 evals, 4224 steps, improv/step: 0.272 (last = 0.3333), fitness=0.035783459
368.54 secs, 4336 evals, 4230 steps, improv/step: 0.273 (last = 0.5000), fitness=0.035783459
369.05 secs, 4342 evals, 4236 steps, improv/step: 0.273 (last = 0.1667), fitness=0.035783459
369.57 secs, 4348 evals, 4242 steps, improv/step: 0.273 (last = 0.1667), fitness=0.035783459
370.08 secs, 4354 evals, 4248 steps, improv/step: 0.272 (last = 0.0000), fitness=0.035783459
370.60 secs, 4360 evals, 4254 steps, improv/step: 0.272 (last = 0.1667), fitness=0.035783459
371.10 secs, 4366 evals, 4260 steps, improv/step: 0.272 (last = 0.1667), fitness=0.035783459
371.62 secs, 4372 evals, 4266 steps, improv/step: 0.272 (last = 0.5000), fitness=0.035783459
372.13 secs, 4378 evals, 4272 steps, improv/step: 0.272 (last = 0.5000), fitness=0.035783459
372.64 secs, 4384 evals, 4278 steps, improv/step: 0.273 (last = 0.3333), fitness=0.035783459
373.15 secs, 4390 evals, 4284 steps, improv/step: 0.272 (last = 0.0000), fitness=0.035783459
373.67 secs, 4396 evals, 4290 steps, improv/step: 0.272 (last = 0.1667), fitness=0.035783459
374.18 secs, 4402 evals, 4296 steps, improv/step: 0.272 (last = 0.3333), fitness=0.035783459
374.69 secs, 4408 evals, 4302 steps, improv/step: 0.272 (last = 0.1667), fitness=0.035783459
375.21 secs, 4414 evals, 4308 steps, improv/step: 0.272 (last = 0.5000), fitness=0.035783459
375.74 secs, 4420 evals, 4314 steps, improv/step: 0.272 (last = 0.1667), fitness=0.035783459
376.25 secs, 4426 evals, 4320 steps, improv/step: 0.272 (last = 0.1667), fitness=0.035783459
376.77 secs, 4432 evals, 4326 steps, improv/step: 0.272 (last = 0.1667), fitness=0.035783459
377.29 secs, 4438 evals, 4332 steps, improv/step: 0.272 (last = 0.3333), fitness=0.035783459
377.80 secs, 4444 evals, 4338 steps, improv/step: 0.272 (last = 0.1667), fitness=0.035783459
378.31 secs, 4450 evals, 4344 steps, improv/step: 0.272 (last = 0.1667), fitness=0.035783459
378.82 secs, 4456 evals, 4350 steps, improv/step: 0.271 (last = 0.0000), fitness=0.035783459
379.34 secs, 4462 evals, 4356 steps, improv/step: 0.271 (last = 0.0000), fitness=0.035783459
379.86 secs, 4468 evals, 4362 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035783459
380.37 secs, 4474 evals, 4368 steps, improv/step: 0.271 (last = 0.1667), fitness=0.035783459
380.88 secs, 4480 evals, 4374 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035783459
381.39 secs, 4486 evals, 4380 steps, improv/step: 0.271 (last = 0.0000), fitness=0.035783459
381.96 secs, 4493 evals, 4387 steps, improv/step: 0.271 (last = 0.2857), fitness=0.035783459
382.47 secs, 4499 evals, 4393 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035783459
382.97 secs, 4505 evals, 4399 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035783459
383.49 secs, 4511 evals, 4405 steps, improv/step: 0.271 (last = 0.1667), fitness=0.035783459
383.99 secs, 4517 evals, 4411 steps, improv/step: 0.270 (last = 0.1667), fitness=0.035783459
384.50 secs, 4523 evals, 4417 steps, improv/step: 0.270 (last = 0.1667), fitness=0.035783459
385.00 secs, 4529 evals, 4423 steps, improv/step: 0.271 (last = 0.5000), fitness=0.035783459
385.51 secs, 4535 evals, 4429 steps, improv/step: 0.270 (last = 0.0000), fitness=0.035783459
386.01 secs, 4541 evals, 4435 steps, improv/step: 0.271 (last = 0.5000), fitness=0.035783459
386.52 secs, 4547 evals, 4441 steps, improv/step: 0.270 (last = 0.1667), fitness=0.035783459
387.03 secs, 4553 evals, 4447 steps, improv/step: 0.270 (last = 0.1667), fitness=0.035783459
387.55 secs, 4559 evals, 4453 steps, improv/step: 0.270 (last = 0.3333), fitness=0.035783459
388.06 secs, 4565 evals, 4459 steps, improv/step: 0.270 (last = 0.3333), fitness=0.035783459
388.57 secs, 4571 evals, 4465 steps, improv/step: 0.271 (last = 0.5000), fitness=0.035783459
389.08 secs, 4577 evals, 4471 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035783459
389.59 secs, 4583 evals, 4477 steps, improv/step: 0.271 (last = 0.1667), fitness=0.035783459
390.10 secs, 4589 evals, 4483 steps, improv/step: 0.271 (last = 0.1667), fitness=0.035783459
390.61 secs, 4595 evals, 4489 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035783459
391.13 secs, 4601 evals, 4495 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035783459
391.66 secs, 4607 evals, 4501 steps, improv/step: 0.270 (last = 0.0000), fitness=0.035783459
392.18 secs, 4613 evals, 4507 steps, improv/step: 0.271 (last = 0.5000), fitness=0.035783459
392.69 secs, 4619 evals, 4513 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035783459
393.21 secs, 4625 evals, 4520 steps, improv/step: 0.270 (last = 0.0000), fitness=0.035783459
393.73 secs, 4631 evals, 4526 steps, improv/step: 0.270 (last = 0.1667), fitness=0.035783459
394.24 secs, 4637 evals, 4532 steps, improv/step: 0.270 (last = 0.0000), fitness=0.035783459
394.74 secs, 4643 evals, 4538 steps, improv/step: 0.270 (last = 0.1667), fitness=0.035783459
395.25 secs, 4649 evals, 4544 steps, improv/step: 0.270 (last = 0.3333), fitness=0.035783459
395.77 secs, 4655 evals, 4550 steps, improv/step: 0.269 (last = 0.0000), fitness=0.035783459
396.29 secs, 4661 evals, 4556 steps, improv/step: 0.269 (last = 0.1667), fitness=0.035783459
396.79 secs, 4667 evals, 4562 steps, improv/step: 0.269 (last = 0.0000), fitness=0.035783459
397.31 secs, 4673 evals, 4568 steps, improv/step: 0.269 (last = 0.3333), fitness=0.035783459
397.82 secs, 4679 evals, 4574 steps, improv/step: 0.269 (last = 0.3333), fitness=0.035783459
398.34 secs, 4685 evals, 4580 steps, improv/step: 0.269 (last = 0.3333), fitness=0.035783459
398.86 secs, 4691 evals, 4586 steps, improv/step: 0.269 (last = 0.3333), fitness=0.035783459
399.36 secs, 4697 evals, 4592 steps, improv/step: 0.269 (last = 0.1667), fitness=0.035783459
399.88 secs, 4703 evals, 4598 steps, improv/step: 0.269 (last = 0.0000), fitness=0.035783459
400.39 secs, 4709 evals, 4604 steps, improv/step: 0.269 (last = 0.1667), fitness=0.035783459
400.90 secs, 4715 evals, 4610 steps, improv/step: 0.269 (last = 0.1667), fitness=0.035783459
401.41 secs, 4721 evals, 4616 steps, improv/step: 0.268 (last = 0.0000), fitness=0.035783459
401.93 secs, 4727 evals, 4622 steps, improv/step: 0.268 (last = 0.3333), fitness=0.035783459
402.44 secs, 4733 evals, 4628 steps, improv/step: 0.268 (last = 0.3333), fitness=0.035783459
402.95 secs, 4739 evals, 4634 steps, improv/step: 0.268 (last = 0.1667), fitness=0.035783459
403.46 secs, 4745 evals, 4640 steps, improv/step: 0.268 (last = 0.0000), fitness=0.035783459
403.97 secs, 4751 evals, 4646 steps, improv/step: 0.268 (last = 0.3333), fitness=0.035783459
404.48 secs, 4757 evals, 4653 steps, improv/step: 0.268 (last = 0.1429), fitness=0.035783459
405.06 secs, 4764 evals, 4660 steps, improv/step: 0.268 (last = 0.2857), fitness=0.035783459
405.65 secs, 4771 evals, 4667 steps, improv/step: 0.267 (last = 0.0000), fitness=0.035783459
406.16 secs, 4777 evals, 4673 steps, improv/step: 0.267 (last = 0.1667), fitness=0.035783459
406.66 secs, 4783 evals, 4679 steps, improv/step: 0.267 (last = 0.1667), fitness=0.035783459
407.17 secs, 4789 evals, 4685 steps, improv/step: 0.267 (last = 0.3333), fitness=0.035783459
407.69 secs, 4795 evals, 4691 steps, improv/step: 0.267 (last = 0.1667), fitness=0.035783459
408.19 secs, 4801 evals, 4697 steps, improv/step: 0.267 (last = 0.1667), fitness=0.035783459
408.77 secs, 4808 evals, 4704 steps, improv/step: 0.267 (last = 0.2857), fitness=0.035783459
409.27 secs, 4814 evals, 4710 steps, improv/step: 0.267 (last = 0.1667), fitness=0.035783459
409.78 secs, 4820 evals, 4716 steps, improv/step: 0.267 (last = 0.0000), fitness=0.035783459
410.36 secs, 4827 evals, 4723 steps, improv/step: 0.267 (last = 0.4286), fitness=0.035783459
410.86 secs, 4833 evals, 4729 steps, improv/step: 0.266 (last = 0.0000), fitness=0.035783459
411.38 secs, 4839 evals, 4735 steps, improv/step: 0.266 (last = 0.1667), fitness=0.035783459
411.90 secs, 4845 evals, 4741 steps, improv/step: 0.266 (last = 0.0000), fitness=0.035783459
412.41 secs, 4851 evals, 4747 steps, improv/step: 0.266 (last = 0.0000), fitness=0.035783459
412.92 secs, 4857 evals, 4753 steps, improv/step: 0.266 (last = 0.1667), fitness=0.035783459
413.43 secs, 4863 evals, 4759 steps, improv/step: 0.265 (last = 0.0000), fitness=0.035783459
413.95 secs, 4869 evals, 4765 steps, improv/step: 0.265 (last = 0.1667), fitness=0.035783459
414.45 secs, 4875 evals, 4771 steps, improv/step: 0.265 (last = 0.1667), fitness=0.035783459
414.96 secs, 4881 evals, 4777 steps, improv/step: 0.265 (last = 0.0000), fitness=0.035783459
415.47 secs, 4887 evals, 4783 steps, improv/step: 0.265 (last = 0.3333), fitness=0.035783459
415.98 secs, 4893 evals, 4789 steps, improv/step: 0.265 (last = 0.1667), fitness=0.035783459
416.49 secs, 4899 evals, 4795 steps, improv/step: 0.265 (last = 0.3333), fitness=0.035783459
417.00 secs, 4905 evals, 4801 steps, improv/step: 0.265 (last = 0.1667), fitness=0.035783459
417.51 secs, 4911 evals, 4807 steps, improv/step: 0.264 (last = 0.0000), fitness=0.035783459
418.02 secs, 4917 evals, 4813 steps, improv/step: 0.264 (last = 0.1667), fitness=0.035783459
418.53 secs, 4923 evals, 4819 steps, improv/step: 0.264 (last = 0.1667), fitness=0.035783459
419.04 secs, 4929 evals, 4825 steps, improv/step: 0.264 (last = 0.0000), fitness=0.035783459
419.55 secs, 4935 evals, 4831 steps, improv/step: 0.264 (last = 0.5000), fitness=0.035783459
420.07 secs, 4941 evals, 4837 steps, improv/step: 0.264 (last = 0.3333), fitness=0.035783459
420.58 secs, 4947 evals, 4843 steps, improv/step: 0.264 (last = 0.1667), fitness=0.035783459
421.09 secs, 4953 evals, 4849 steps, improv/step: 0.264 (last = 0.0000), fitness=0.035783459
421.61 secs, 4959 evals, 4855 steps, improv/step: 0.263 (last = 0.0000), fitness=0.035783459
422.14 secs, 4965 evals, 4861 steps, improv/step: 0.263 (last = 0.1667), fitness=0.035783459
422.65 secs, 4971 evals, 4867 steps, improv/step: 0.263 (last = 0.0000), fitness=0.035783459
423.16 secs, 4977 evals, 4873 steps, improv/step: 0.263 (last = 0.1667), fitness=0.035783459
423.67 secs, 4983 evals, 4879 steps, improv/step: 0.262 (last = 0.0000), fitness=0.035783459
424.20 secs, 4989 evals, 4886 steps, improv/step: 0.262 (last = 0.2857), fitness=0.035783459
424.72 secs, 4995 evals, 4892 steps, improv/step: 0.262 (last = 0.1667), fitness=0.035783459
425.23 secs, 5001 evals, 4898 steps, improv/step: 0.262 (last = 0.1667), fitness=0.035783459
425.75 secs, 5007 evals, 4904 steps, improv/step: 0.262 (last = 0.0000), fitness=0.035783459
426.27 secs, 5013 evals, 4910 steps, improv/step: 0.262 (last = 0.0000), fitness=0.035783459
426.79 secs, 5019 evals, 4916 steps, improv/step: 0.262 (last = 0.3333), fitness=0.035783459
427.30 secs, 5025 evals, 4922 steps, improv/step: 0.262 (last = 0.3333), fitness=0.035783459
427.82 secs, 5031 evals, 4928 steps, improv/step: 0.262 (last = 0.1667), fitness=0.035783459
428.34 secs, 5037 evals, 4934 steps, improv/step: 0.261 (last = 0.0000), fitness=0.035783459
428.86 secs, 5043 evals, 4940 steps, improv/step: 0.261 (last = 0.1667), fitness=0.035783459
429.37 secs, 5049 evals, 4946 steps, improv/step: 0.261 (last = 0.0000), fitness=0.035783459
429.88 secs, 5055 evals, 4952 steps, improv/step: 0.261 (last = 0.1667), fitness=0.035783459
430.40 secs, 5061 evals, 4958 steps, improv/step: 0.261 (last = 0.1667), fitness=0.035783459
430.92 secs, 5067 evals, 4964 steps, improv/step: 0.260 (last = 0.0000), fitness=0.035783459
431.43 secs, 5073 evals, 4970 steps, improv/step: 0.260 (last = 0.3333), fitness=0.035783459
431.94 secs, 5079 evals, 4976 steps, improv/step: 0.260 (last = 0.0000), fitness=0.035783459
432.46 secs, 5085 evals, 4982 steps, improv/step: 0.260 (last = 0.0000), fitness=0.035783459
432.98 secs, 5091 evals, 4988 steps, improv/step: 0.260 (last = 0.1667), fitness=0.035783459
433.49 secs, 5097 evals, 4994 steps, improv/step: 0.259 (last = 0.0000), fitness=0.035783459
434.00 secs, 5103 evals, 5000 steps, improv/step: 0.259 (last = 0.1667), fitness=0.035783459
434.52 secs, 5109 evals, 5007 steps, improv/step: 0.259 (last = 0.0000), fitness=0.035783459
435.03 secs, 5115 evals, 5013 steps, improv/step: 0.259 (last = 0.0000), fitness=0.035783459
435.54 secs, 5121 evals, 5019 steps, improv/step: 0.258 (last = 0.1667), fitness=0.035783459
436.05 secs, 5127 evals, 5025 steps, improv/step: 0.259 (last = 0.3333), fitness=0.035783459
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437.09 secs, 5139 evals, 5037 steps, improv/step: 0.258 (last = 0.5000), fitness=0.035783459
437.60 secs, 5145 evals, 5043 steps, improv/step: 0.258 (last = 0.1667), fitness=0.035783459
438.12 secs, 5151 evals, 5049 steps, improv/step: 0.258 (last = 0.1667), fitness=0.035783459
438.65 secs, 5157 evals, 5055 steps, improv/step: 0.258 (last = 0.3333), fitness=0.035783459
439.16 secs, 5163 evals, 5061 steps, improv/step: 0.258 (last = 0.3333), fitness=0.035783459
439.68 secs, 5169 evals, 5067 steps, improv/step: 0.258 (last = 0.1667), fitness=0.035783459
440.19 secs, 5175 evals, 5073 steps, improv/step: 0.258 (last = 0.0000), fitness=0.035783459
440.71 secs, 5181 evals, 5079 steps, improv/step: 0.258 (last = 0.0000), fitness=0.035783459
441.22 secs, 5187 evals, 5085 steps, improv/step: 0.257 (last = 0.0000), fitness=0.035783459
441.73 secs, 5193 evals, 5091 steps, improv/step: 0.257 (last = 0.0000), fitness=0.035783459
442.25 secs, 5199 evals, 5097 steps, improv/step: 0.257 (last = 0.0000), fitness=0.035783459
442.76 secs, 5205 evals, 5103 steps, improv/step: 0.257 (last = 0.0000), fitness=0.035783459
443.28 secs, 5211 evals, 5109 steps, improv/step: 0.256 (last = 0.1667), fitness=0.035783459
443.79 secs, 5217 evals, 5115 steps, improv/step: 0.256 (last = 0.0000), fitness=0.035783459
444.31 secs, 5223 evals, 5121 steps, improv/step: 0.256 (last = 0.0000), fitness=0.035783459
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445.33 secs, 5235 evals, 5133 steps, improv/step: 0.255 (last = 0.0000), fitness=0.035783459
445.84 secs, 5241 evals, 5139 steps, improv/step: 0.255 (last = 0.1667), fitness=0.035783459
446.36 secs, 5247 evals, 5145 steps, improv/step: 0.255 (last = 0.0000), fitness=0.035783459
446.87 secs, 5253 evals, 5151 steps, improv/step: 0.255 (last = 0.1667), fitness=0.035783459
447.39 secs, 5259 evals, 5157 steps, improv/step: 0.255 (last = 0.1667), fitness=0.035783459
447.89 secs, 5265 evals, 5163 steps, improv/step: 0.254 (last = 0.0000), fitness=0.035783459
448.41 secs, 5271 evals, 5169 steps, improv/step: 0.254 (last = 0.3333), fitness=0.035783459
448.92 secs, 5277 evals, 5175 steps, improv/step: 0.254 (last = 0.0000), fitness=0.035783459
449.43 secs, 5283 evals, 5181 steps, improv/step: 0.254 (last = 0.0000), fitness=0.035783459
449.95 secs, 5289 evals, 5187 steps, improv/step: 0.254 (last = 0.3333), fitness=0.035783459
450.47 secs, 5295 evals, 5193 steps, improv/step: 0.254 (last = 0.1667), fitness=0.035783459
450.98 secs, 5301 evals, 5199 steps, improv/step: 0.254 (last = 0.1667), fitness=0.035783459
451.49 secs, 5307 evals, 5206 steps, improv/step: 0.254 (last = 0.2857), fitness=0.035783459
452.01 secs, 5313 evals, 5212 steps, improv/step: 0.254 (last = 0.1667), fitness=0.035783459
452.53 secs, 5319 evals, 5218 steps, improv/step: 0.254 (last = 0.1667), fitness=0.035783459
453.03 secs, 5325 evals, 5224 steps, improv/step: 0.253 (last = 0.1667), fitness=0.035783459
453.54 secs, 5331 evals, 5230 steps, improv/step: 0.253 (last = 0.0000), fitness=0.035783459
454.05 secs, 5337 evals, 5237 steps, improv/step: 0.253 (last = 0.0000), fitness=0.035783459
454.56 secs, 5343 evals, 5243 steps, improv/step: 0.253 (last = 0.0000), fitness=0.035783459
455.07 secs, 5349 evals, 5249 steps, improv/step: 0.252 (last = 0.0000), fitness=0.035783459
455.58 secs, 5355 evals, 5256 steps, improv/step: 0.252 (last = 0.1429), fitness=0.035783459
456.09 secs, 5361 evals, 5262 steps, improv/step: 0.252 (last = 0.0000), fitness=0.035783459
456.61 secs, 5367 evals, 5268 steps, improv/step: 0.252 (last = 0.1667), fitness=0.035783459
457.13 secs, 5373 evals, 5274 steps, improv/step: 0.251 (last = 0.0000), fitness=0.035783459
457.64 secs, 5379 evals, 5280 steps, improv/step: 0.251 (last = 0.0000), fitness=0.035783459
458.16 secs, 5385 evals, 5286 steps, improv/step: 0.251 (last = 0.3333), fitness=0.035783459
458.67 secs, 5391 evals, 5292 steps, improv/step: 0.251 (last = 0.0000), fitness=0.035783459
459.19 secs, 5397 evals, 5299 steps, improv/step: 0.251 (last = 0.0000), fitness=0.035783459
459.70 secs, 5403 evals, 5305 steps, improv/step: 0.250 (last = 0.0000), fitness=0.035783459
460.21 secs, 5409 evals, 5311 steps, improv/step: 0.250 (last = 0.1667), fitness=0.035783459
460.73 secs, 5415 evals, 5318 steps, improv/step: 0.250 (last = 0.2857), fitness=0.035783459
461.25 secs, 5421 evals, 5325 steps, improv/step: 0.250 (last = 0.0000), fitness=0.035783459
461.76 secs, 5427 evals, 5331 steps, improv/step: 0.250 (last = 0.1667), fitness=0.035783459
462.27 secs, 5433 evals, 5338 steps, improv/step: 0.250 (last = 0.0000), fitness=0.035783459
462.79 secs, 5439 evals, 5344 steps, improv/step: 0.249 (last = 0.1667), fitness=0.035783459
463.30 secs, 5445 evals, 5350 steps, improv/step: 0.249 (last = 0.1667), fitness=0.035783459
463.82 secs, 5451 evals, 5356 steps, improv/step: 0.249 (last = 0.0000), fitness=0.035783459
464.33 secs, 5457 evals, 5362 steps, improv/step: 0.249 (last = 0.0000), fitness=0.035783459
464.85 secs, 5463 evals, 5368 steps, improv/step: 0.249 (last = 0.0000), fitness=0.035783459
465.35 secs, 5469 evals, 5374 steps, improv/step: 0.248 (last = 0.1667), fitness=0.035783459
465.86 secs, 5475 evals, 5380 steps, improv/step: 0.248 (last = 0.1667), fitness=0.035783459
466.36 secs, 5481 evals, 5386 steps, improv/step: 0.248 (last = 0.0000), fitness=0.035783459
466.88 secs, 5487 evals, 5392 steps, improv/step: 0.248 (last = 0.1667), fitness=0.035783459
467.39 secs, 5493 evals, 5398 steps, improv/step: 0.248 (last = 0.0000), fitness=0.035783459
467.90 secs, 5499 evals, 5404 steps, improv/step: 0.248 (last = 0.1667), fitness=0.035783459
468.41 secs, 5505 evals, 5410 steps, improv/step: 0.247 (last = 0.0000), fitness=0.035783459
468.93 secs, 5511 evals, 5416 steps, improv/step: 0.247 (last = 0.3333), fitness=0.035783459
469.44 secs, 5517 evals, 5423 steps, improv/step: 0.247 (last = 0.0000), fitness=0.035783459
469.95 secs, 5523 evals, 5429 steps, improv/step: 0.247 (last = 0.1667), fitness=0.035783459
470.46 secs, 5529 evals, 5436 steps, improv/step: 0.247 (last = 0.0000), fitness=0.035783459
470.98 secs, 5535 evals, 5443 steps, improv/step: 0.247 (last = 0.1429), fitness=0.035783459
471.49 secs, 5541 evals, 5450 steps, improv/step: 0.247 (last = 0.2857), fitness=0.035783459
472.01 secs, 5547 evals, 5456 steps, improv/step: 0.246 (last = 0.0000), fitness=0.035783459
472.52 secs, 5553 evals, 5462 steps, improv/step: 0.246 (last = 0.0000), fitness=0.035783459
473.04 secs, 5559 evals, 5468 steps, improv/step: 0.246 (last = 0.0000), fitness=0.035783459
473.56 secs, 5565 evals, 5475 steps, improv/step: 0.246 (last = 0.2857), fitness=0.035783459
474.07 secs, 5571 evals, 5481 steps, improv/step: 0.246 (last = 0.3333), fitness=0.035783459
474.57 secs, 5577 evals, 5487 steps, improv/step: 0.246 (last = 0.0000), fitness=0.035783459
475.09 secs, 5583 evals, 5495 steps, improv/step: 0.245 (last = 0.1250), fitness=0.035783459
475.61 secs, 5589 evals, 5501 steps, improv/step: 0.245 (last = 0.0000), fitness=0.035783459
476.12 secs, 5595 evals, 5508 steps, improv/step: 0.245 (last = 0.1429), fitness=0.035783459
476.62 secs, 5601 evals, 5514 steps, improv/step: 0.245 (last = 0.1667), fitness=0.035783459
477.14 secs, 5607 evals, 5521 steps, improv/step: 0.245 (last = 0.0000), fitness=0.035783459
477.65 secs, 5613 evals, 5527 steps, improv/step: 0.245 (last = 0.1667), fitness=0.035783459
478.16 secs, 5619 evals, 5536 steps, improv/step: 0.244 (last = 0.0000), fitness=0.035783459
478.67 secs, 5625 evals, 5543 steps, improv/step: 0.244 (last = 0.0000), fitness=0.035783459
479.18 secs, 5631 evals, 5549 steps, improv/step: 0.244 (last = 0.0000), fitness=0.035783459
479.69 secs, 5637 evals, 5555 steps, improv/step: 0.244 (last = 0.1667), fitness=0.035783459
480.19 secs, 5643 evals, 5561 steps, improv/step: 0.243 (last = 0.1667), fitness=0.035783459
480.70 secs, 5649 evals, 5567 steps, improv/step: 0.243 (last = 0.1667), fitness=0.035783459
481.22 secs, 5655 evals, 5573 steps, improv/step: 0.243 (last = 0.1667), fitness=0.035783459
481.73 secs, 5661 evals, 5580 steps, improv/step: 0.243 (last = 0.0000), fitness=0.035783459
482.23 secs, 5667 evals, 5586 steps, improv/step: 0.243 (last = 0.0000), fitness=0.035783459
482.74 secs, 5673 evals, 5593 steps, improv/step: 0.242 (last = 0.0000), fitness=0.035783459
483.26 secs, 5679 evals, 5600 steps, improv/step: 0.242 (last = 0.0000), fitness=0.035783459
483.76 secs, 5685 evals, 5606 steps, improv/step: 0.242 (last = 0.0000), fitness=0.035783459
484.27 secs, 5691 evals, 5612 steps, improv/step: 0.242 (last = 0.0000), fitness=0.035783459
484.79 secs, 5697 evals, 5618 steps, improv/step: 0.241 (last = 0.0000), fitness=0.035783459
485.31 secs, 5703 evals, 5625 steps, improv/step: 0.241 (last = 0.1429), fitness=0.035783459
485.82 secs, 5709 evals, 5631 steps, improv/step: 0.241 (last = 0.1667), fitness=0.035783459
486.33 secs, 5715 evals, 5638 steps, improv/step: 0.241 (last = 0.4286), fitness=0.035783459
486.84 secs, 5721 evals, 5644 steps, improv/step: 0.241 (last = 0.1667), fitness=0.035783459
487.35 secs, 5727 evals, 5652 steps, improv/step: 0.241 (last = 0.1250), fitness=0.035783459
487.86 secs, 5733 evals, 5658 steps, improv/step: 0.241 (last = 0.3333), fitness=0.035783459
488.37 secs, 5739 evals, 5665 steps, improv/step: 0.241 (last = 0.0000), fitness=0.035783459
488.87 secs, 5745 evals, 5674 steps, improv/step: 0.241 (last = 0.1111), fitness=0.035783459
489.39 secs, 5751 evals, 5684 steps, improv/step: 0.240 (last = 0.1000), fitness=0.035783459
489.90 secs, 5757 evals, 5690 steps, improv/step: 0.240 (last = 0.0000), fitness=0.035783459
490.41 secs, 5763 evals, 5699 steps, improv/step: 0.240 (last = 0.1111), fitness=0.035783459
490.91 secs, 5769 evals, 5712 steps, improv/step: 0.240 (last = 0.0769), fitness=0.035783459
491.43 secs, 5775 evals, 5720 steps, improv/step: 0.240 (last = 0.2500), fitness=0.035783459
491.93 secs, 5781 evals, 5729 steps, improv/step: 0.239 (last = 0.1111), fitness=0.035783459
492.44 secs, 5787 evals, 5740 steps, improv/step: 0.239 (last = 0.0000), fitness=0.035783459
492.95 secs, 5793 evals, 5747 steps, improv/step: 0.239 (last = 0.2857), fitness=0.035783459
493.48 secs, 5799 evals, 5754 steps, improv/step: 0.239 (last = 0.1429), fitness=0.035783459
494.00 secs, 5805 evals, 5768 steps, improv/step: 0.239 (last = 0.0714), fitness=0.035783459
494.51 secs, 5811 evals, 5778 steps, improv/step: 0.238 (last = 0.0000), fitness=0.035783459
495.02 secs, 5817 evals, 5788 steps, improv/step: 0.238 (last = 0.0000), fitness=0.035783459
495.54 secs, 5823 evals, 5798 steps, improv/step: 0.237 (last = 0.0000), fitness=0.035783459
496.05 secs, 5829 evals, 5806 steps, improv/step: 0.238 (last = 0.3750), fitness=0.035783459
496.56 secs, 5835 evals, 5815 steps, improv/step: 0.237 (last = 0.0000), fitness=0.035783459
497.07 secs, 5841 evals, 5823 steps, improv/step: 0.237 (last = 0.1250), fitness=0.035783459
497.58 secs, 5847 evals, 5830 steps, improv/step: 0.237 (last = 0.1429), fitness=0.035783459
498.08 secs, 5853 evals, 5840 steps, improv/step: 0.237 (last = 0.1000), fitness=0.035783459
498.58 secs, 5859 evals, 5852 steps, improv/step: 0.236 (last = 0.0000), fitness=0.035783459
499.09 secs, 5865 evals, 5862 steps, improv/step: 0.236 (last = 0.1000), fitness=0.035783459
499.60 secs, 5871 evals, 5869 steps, improv/step: 0.236 (last = 0.0000), fitness=0.035783459
500.11 secs, 5877 evals, 5882 steps, improv/step: 0.235 (last = 0.0000), fitness=0.035783459
500.61 secs, 5883 evals, 5889 steps, improv/step: 0.235 (last = 0.0000), fitness=0.035783459
501.12 secs, 5889 evals, 5900 steps, improv/step: 0.234 (last = 0.0000), fitness=0.035783459
501.64 secs, 5895 evals, 5914 steps, improv/step: 0.234 (last = 0.0714), fitness=0.035783459
502.15 secs, 5901 evals, 5925 steps, improv/step: 0.234 (last = 0.0000), fitness=0.035783459
502.66 secs, 5907 evals, 5936 steps, improv/step: 0.233 (last = 0.0000), fitness=0.035783459
503.21 secs, 5913 evals, 5945 steps, improv/step: 0.233 (last = 0.0000), fitness=0.035783459
503.72 secs, 5919 evals, 5957 steps, improv/step: 0.232 (last = 0.0000), fitness=0.035783459
504.24 secs, 5925 evals, 5965 steps, improv/step: 0.232 (last = 0.1250), fitness=0.035783459
504.76 secs, 5931 evals, 5971 steps, improv/step: 0.232 (last = 0.1667), fitness=0.035783459
505.29 secs, 5937 evals, 5982 steps, improv/step: 0.232 (last = 0.0909), fitness=0.035783459
505.80 secs, 5943 evals, 5994 steps, improv/step: 0.232 (last = 0.0833), fitness=0.035783459
506.31 secs, 5949 evals, 6006 steps, improv/step: 0.231 (last = 0.0833), fitness=0.035783459
506.83 secs, 5955 evals, 6018 steps, improv/step: 0.231 (last = 0.1667), fitness=0.035783459
507.35 secs, 5961 evals, 6030 steps, improv/step: 0.231 (last = 0.0833), fitness=0.035783459
507.86 secs, 5967 evals, 6042 steps, improv/step: 0.230 (last = 0.0000), fitness=0.035783459
508.38 secs, 5973 evals, 6053 steps, improv/step: 0.230 (last = 0.0000), fitness=0.035783459
508.90 secs, 5979 evals, 6067 steps, improv/step: 0.230 (last = 0.0714), fitness=0.035783459
509.42 secs, 5985 evals, 6076 steps, improv/step: 0.229 (last = 0.0000), fitness=0.035783459
509.93 secs, 5991 evals, 6085 steps, improv/step: 0.229 (last = 0.1111), fitness=0.035783459
510.44 secs, 5997 evals, 6093 steps, improv/step: 0.229 (last = 0.1250), fitness=0.035783459
510.95 secs, 6003 evals, 6114 steps, improv/step: 0.228 (last = 0.0952), fitness=0.035783459
511.48 secs, 6009 evals, 6129 steps, improv/step: 0.228 (last = 0.0667), fitness=0.035783459
511.99 secs, 6015 evals, 6140 steps, improv/step: 0.228 (last = 0.0000), fitness=0.035783459
512.50 secs, 6021 evals, 6157 steps, improv/step: 0.227 (last = 0.1176), fitness=0.035783459
513.01 secs, 6027 evals, 6174 steps, improv/step: 0.227 (last = 0.0000), fitness=0.035783459
513.54 secs, 6033 evals, 6181 steps, improv/step: 0.227 (last = 0.1429), fitness=0.035783459
514.06 secs, 6039 evals, 6193 steps, improv/step: 0.226 (last = 0.0833), fitness=0.035783459
514.57 secs, 6045 evals, 6203 steps, improv/step: 0.226 (last = 0.2000), fitness=0.035783459
515.09 secs, 6051 evals, 6217 steps, improv/step: 0.226 (last = 0.0714), fitness=0.035783459
515.61 secs, 6057 evals, 6233 steps, improv/step: 0.226 (last = 0.1250), fitness=0.035783459
516.13 secs, 6063 evals, 6251 steps, improv/step: 0.225 (last = 0.0556), fitness=0.035783459
516.64 secs, 6069 evals, 6285 steps, improv/step: 0.224 (last = 0.0294), fitness=0.035783459
517.16 secs, 6075 evals, 6302 steps, improv/step: 0.224 (last = 0.1176), fitness=0.035783459
517.69 secs, 6081 evals, 6313 steps, improv/step: 0.224 (last = 0.2727), fitness=0.035783459
518.20 secs, 6087 evals, 6353 steps, improv/step: 0.223 (last = 0.0250), fitness=0.035783459
518.72 secs, 6093 evals, 6366 steps, improv/step: 0.223 (last = 0.1538), fitness=0.035783459
519.23 secs, 6099 evals, 6401 steps, improv/step: 0.221 (last = 0.0000), fitness=0.035783459
519.76 secs, 6105 evals, 6415 steps, improv/step: 0.221 (last = 0.1429), fitness=0.035783459
520.28 secs, 6111 evals, 6440 steps, improv/step: 0.220 (last = 0.0000), fitness=0.035783459
520.79 secs, 6117 evals, 6489 steps, improv/step: 0.219 (last = 0.0204), fitness=0.035783459
521.30 secs, 6123 evals, 6552 steps, improv/step: 0.217 (last = 0.0159), fitness=0.035783459
521.83 secs, 6129 evals, 6656 steps, improv/step: 0.213 (last = 0.0000), fitness=0.035783459

Optimization stopped after 6804 steps and 522.25 seconds
Termination reason: Too many steps (101) without any function evaluations (probably search has converged)
Steps per second = 13.03
Function evals per second = 11.75
Improvements/step = 0.12927
Total function evaluations = 6134


Best candidate found: [1.49998]

Fitness: 0.035783459

┌ Warning: `Base.getindex(VA::AbstractDiffEqArray{T, N, A}, i::Int) where {T, N, A <: Union{AbstractArray, AbstractVectorOfArray}}` is deprecated, use `VA.u[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"##148"{var"###ParameterizedDiffEqFunction#150", var"###ParameterizedTGradFunction#151", var"###ParameterizedJacobianFunction#152", Nothing, Nothing, System}, Base.Pairs{Symbol, Union{}, Nothing, @NamedTuple{}}, SciMLBase.StandardODEProblem}, Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{var"##148"{var"###ParameterizedDiffEqFunction#150", var"###ParameterizedTGradFunction#151", var"###ParameterizedJacobianFunction#152", Nothing, Nothing, System}, 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
└ @ Core ~/.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
0.53 secs, 6 evals, 3 steps, improv/step: 0.667 (last = 0.6667), fitness=648.846858516
1.08 secs, 12 evals, 6 steps, improv/step: 0.500 (last = 0.3333), fitness=424.872961741
1.62 secs, 18 evals, 9 steps, improv/step: 0.333 (last = 0.0000), fitness=424.872961741
2.26 secs, 24 evals, 12 steps, improv/step: 0.333 (last = 0.3333), fitness=203.641531616
2.88 secs, 31 evals, 16 steps, improv/step: 0.375 (last = 0.5000), fitness=203.641531616
3.50 secs, 38 evals, 20 steps, improv/step: 0.400 (last = 0.5000), fitness=43.951661690
4.04 secs, 44 evals, 23 steps, improv/step: 0.391 (last = 0.3333), fitness=43.951661690
4.59 secs, 50 evals, 26 steps, improv/step: 0.423 (last = 0.6667), fitness=43.951661690
5.13 secs, 56 evals, 29 steps, improv/step: 0.414 (last = 0.3333), fitness=43.951661690
5.73 secs, 62 evals, 32 steps, improv/step: 0.375 (last = 0.0000), fitness=43.951661690
6.27 secs, 68 evals, 35 steps, improv/step: 0.400 (last = 0.6667), fitness=43.951661690
6.88 secs, 75 evals, 39 steps, improv/step: 0.410 (last = 0.5000), fitness=43.951661690
7.51 secs, 82 evals, 43 steps, improv/step: 0.419 (last = 0.5000), fitness=43.951661690
8.04 secs, 88 evals, 46 steps, improv/step: 0.413 (last = 0.3333), fitness=43.951661690
8.58 secs, 94 evals, 50 steps, improv/step: 0.400 (last = 0.2500), fitness=43.951661690
9.11 secs, 100 evals, 54 steps, improv/step: 0.426 (last = 0.7500), fitness=43.951661690
9.63 secs, 106 evals, 57 steps, improv/step: 0.439 (last = 0.6667), fitness=43.951661690
10.16 secs, 112 evals, 60 steps, improv/step: 0.417 (last = 0.0000), fitness=43.951661690
10.70 secs, 118 evals, 64 steps, improv/step: 0.406 (last = 0.2500), fitness=43.951661690
11.31 secs, 125 evals, 68 steps, improv/step: 0.412 (last = 0.5000), fitness=43.951661690
11.83 secs, 131 evals, 73 steps, improv/step: 0.411 (last = 0.4000), fitness=43.951661690
12.44 secs, 138 evals, 78 steps, improv/step: 0.397 (last = 0.2000), fitness=43.951661690
12.97 secs, 144 evals, 81 steps, improv/step: 0.395 (last = 0.3333), fitness=18.409838035
13.50 secs, 150 evals, 85 steps, improv/step: 0.376 (last = 0.0000), fitness=10.453137768
14.11 secs, 157 evals, 90 steps, improv/step: 0.367 (last = 0.2000), fitness=10.453137768
14.63 secs, 163 evals, 94 steps, improv/step: 0.372 (last = 0.5000), fitness=10.453137768
15.17 secs, 169 evals, 97 steps, improv/step: 0.392 (last = 1.0000), fitness=10.453137768
15.70 secs, 175 evals, 101 steps, improv/step: 0.406 (last = 0.7500), fitness=0.402558221
16.23 secs, 181 evals, 106 steps, improv/step: 0.415 (last = 0.6000), fitness=0.402558221
16.75 secs, 187 evals, 111 steps, improv/step: 0.405 (last = 0.2000), fitness=0.402558221
17.30 secs, 193 evals, 116 steps, improv/step: 0.397 (last = 0.2000), fitness=0.402558221
17.92 secs, 200 evals, 120 steps, improv/step: 0.392 (last = 0.2500), fitness=0.402558221
18.45 secs, 206 evals, 126 steps, improv/step: 0.405 (last = 0.6667), fitness=0.402558221
18.98 secs, 212 evals, 130 steps, improv/step: 0.400 (last = 0.2500), fitness=0.402558221
19.51 secs, 218 evals, 133 steps, improv/step: 0.406 (last = 0.6667), fitness=0.402558221
20.04 secs, 224 evals, 138 steps, improv/step: 0.406 (last = 0.4000), fitness=0.402558221
20.57 secs, 230 evals, 143 steps, improv/step: 0.406 (last = 0.4000), fitness=0.402558221
21.11 secs, 236 evals, 147 steps, improv/step: 0.401 (last = 0.2500), fitness=0.402558221
21.64 secs, 242 evals, 152 steps, improv/step: 0.408 (last = 0.6000), fitness=0.402558221
22.16 secs, 248 evals, 157 steps, improv/step: 0.408 (last = 0.4000), fitness=0.402558221
22.68 secs, 254 evals, 163 steps, improv/step: 0.399 (last = 0.1667), fitness=0.402558221
23.22 secs, 260 evals, 169 steps, improv/step: 0.402 (last = 0.5000), fitness=0.402558221
23.84 secs, 267 evals, 174 steps, improv/step: 0.408 (last = 0.6000), fitness=0.402558221
24.46 secs, 274 evals, 178 steps, improv/step: 0.404 (last = 0.2500), fitness=0.402558221
24.99 secs, 280 evals, 183 steps, improv/step: 0.393 (last = 0.0000), fitness=0.402558221
25.54 secs, 286 evals, 189 steps, improv/step: 0.392 (last = 0.3333), fitness=0.402558221
26.15 secs, 293 evals, 195 steps, improv/step: 0.385 (last = 0.1667), fitness=0.402558221
26.68 secs, 299 evals, 201 steps, improv/step: 0.383 (last = 0.3333), fitness=0.402558221
27.21 secs, 305 evals, 207 steps, improv/step: 0.377 (last = 0.1667), fitness=0.402558221
27.75 secs, 311 evals, 213 steps, improv/step: 0.376 (last = 0.3333), fitness=0.402558221
28.28 secs, 317 evals, 218 steps, improv/step: 0.376 (last = 0.4000), fitness=0.402558221
28.81 secs, 323 evals, 224 steps, improv/step: 0.379 (last = 0.5000), fitness=0.402558221
29.34 secs, 329 evals, 229 steps, improv/step: 0.371 (last = 0.0000), fitness=0.402558221
29.97 secs, 336 evals, 235 steps, improv/step: 0.379 (last = 0.6667), fitness=0.402558221
30.50 secs, 342 evals, 241 steps, improv/step: 0.373 (last = 0.1667), fitness=0.402558221
31.02 secs, 348 evals, 246 steps, improv/step: 0.378 (last = 0.6000), fitness=0.402558221
31.55 secs, 354 evals, 252 steps, improv/step: 0.373 (last = 0.1667), fitness=0.402558221
32.08 secs, 360 evals, 257 steps, improv/step: 0.370 (last = 0.2000), fitness=0.402558221
32.61 secs, 366 evals, 263 steps, improv/step: 0.361 (last = 0.0000), fitness=0.402558221
33.14 secs, 372 evals, 269 steps, improv/step: 0.357 (last = 0.1667), fitness=0.402558221
33.66 secs, 378 evals, 274 steps, improv/step: 0.358 (last = 0.4000), fitness=0.402558221
34.20 secs, 384 evals, 280 steps, improv/step: 0.357 (last = 0.3333), fitness=0.402558221
34.73 secs, 390 evals, 286 steps, improv/step: 0.353 (last = 0.1667), fitness=0.402558221
35.27 secs, 396 evals, 292 steps, improv/step: 0.346 (last = 0.0000), fitness=0.402558221
35.80 secs, 402 evals, 298 steps, improv/step: 0.349 (last = 0.5000), fitness=0.402558221
36.43 secs, 409 evals, 304 steps, improv/step: 0.345 (last = 0.1667), fitness=0.402558221
37.05 secs, 416 evals, 310 steps, improv/step: 0.345 (last = 0.3333), fitness=0.402558221
37.58 secs, 422 evals, 316 steps, improv/step: 0.351 (last = 0.6667), fitness=0.402558221
38.21 secs, 429 evals, 322 steps, improv/step: 0.348 (last = 0.1667), fitness=0.402558221
38.74 secs, 435 evals, 328 steps, improv/step: 0.351 (last = 0.5000), fitness=0.402558221
39.27 secs, 441 evals, 334 steps, improv/step: 0.350 (last = 0.3333), fitness=0.402558221
39.80 secs, 447 evals, 340 steps, improv/step: 0.350 (last = 0.3333), fitness=0.402558221
40.34 secs, 453 evals, 346 steps, improv/step: 0.353 (last = 0.5000), fitness=0.402558221
40.87 secs, 459 evals, 351 steps, improv/step: 0.350 (last = 0.2000), fitness=0.402558221
41.39 secs, 465 evals, 357 steps, improv/step: 0.347 (last = 0.1667), fitness=0.402558221
41.92 secs, 471 evals, 361 steps, improv/step: 0.346 (last = 0.2500), fitness=0.402558221
42.45 secs, 477 evals, 367 steps, improv/step: 0.343 (last = 0.1667), fitness=0.402558221
42.98 secs, 483 evals, 373 steps, improv/step: 0.340 (last = 0.1667), fitness=0.402558221
43.50 secs, 489 evals, 379 steps, improv/step: 0.338 (last = 0.1667), fitness=0.402558221
44.11 secs, 496 evals, 385 steps, improv/step: 0.338 (last = 0.3333), fitness=0.402558221
44.64 secs, 502 evals, 391 steps, improv/step: 0.335 (last = 0.1667), fitness=0.402558221
45.16 secs, 508 evals, 397 steps, improv/step: 0.332 (last = 0.1667), fitness=0.402558221
45.69 secs, 514 evals, 403 steps, improv/step: 0.330 (last = 0.1667), fitness=0.402558221
46.21 secs, 520 evals, 408 steps, improv/step: 0.326 (last = 0.0000), fitness=0.402558221
46.74 secs, 526 evals, 414 steps, improv/step: 0.324 (last = 0.1667), fitness=0.402558221
47.27 secs, 532 evals, 420 steps, improv/step: 0.319 (last = 0.0000), fitness=0.402558221
47.79 secs, 538 evals, 426 steps, improv/step: 0.319 (last = 0.3333), fitness=0.402558221
48.35 secs, 544 evals, 432 steps, improv/step: 0.319 (last = 0.3333), fitness=0.402558221
48.88 secs, 550 evals, 438 steps, improv/step: 0.322 (last = 0.5000), fitness=0.402558221
49.48 secs, 557 evals, 444 steps, improv/step: 0.320 (last = 0.1667), fitness=0.402558221
50.00 secs, 563 evals, 450 steps, improv/step: 0.316 (last = 0.0000), fitness=0.402558221
50.52 secs, 569 evals, 456 steps, improv/step: 0.318 (last = 0.5000), fitness=0.402558221
51.05 secs, 575 evals, 462 steps, improv/step: 0.316 (last = 0.1667), fitness=0.402558221
51.57 secs, 581 evals, 468 steps, improv/step: 0.316 (last = 0.3333), fitness=0.402558221
52.08 secs, 587 evals, 473 steps, improv/step: 0.315 (last = 0.2000), fitness=0.402558221
52.61 secs, 593 evals, 479 steps, improv/step: 0.315 (last = 0.3333), fitness=0.402558221
53.13 secs, 599 evals, 485 steps, improv/step: 0.313 (last = 0.1667), fitness=0.402558221
53.65 secs, 605 evals, 491 steps, improv/step: 0.314 (last = 0.3333), fitness=0.402558221
54.16 secs, 611 evals, 497 steps, improv/step: 0.312 (last = 0.1667), fitness=0.402558221
54.69 secs, 617 evals, 503 steps, improv/step: 0.314 (last = 0.5000), fitness=0.402558221
55.20 secs, 623 evals, 509 steps, improv/step: 0.310 (last = 0.0000), fitness=0.402558221
55.72 secs, 629 evals, 515 steps, improv/step: 0.307 (last = 0.0000), fitness=0.402558221
56.24 secs, 635 evals, 521 steps, improv/step: 0.305 (last = 0.1667), fitness=0.402558221
56.85 secs, 642 evals, 527 steps, improv/step: 0.304 (last = 0.1667), fitness=0.402558221
57.37 secs, 648 evals, 533 steps, improv/step: 0.300 (last = 0.0000), fitness=0.402558221
57.89 secs, 654 evals, 539 steps, improv/step: 0.299 (last = 0.1667), fitness=0.402558221
58.41 secs, 660 evals, 545 steps, improv/step: 0.297 (last = 0.1667), fitness=0.402558221
58.94 secs, 666 evals, 551 steps, improv/step: 0.298 (last = 0.3333), fitness=0.402558221
59.45 secs, 672 evals, 557 steps, improv/step: 0.296 (last = 0.1667), fitness=0.402558221
59.97 secs, 678 evals, 563 steps, improv/step: 0.295 (last = 0.1667), fitness=0.402558221
60.48 secs, 684 evals, 568 steps, improv/step: 0.292 (last = 0.0000), fitness=0.402558221
61.03 secs, 690 evals, 573 steps, improv/step: 0.293 (last = 0.4000), fitness=0.402558221
61.58 secs, 696 evals, 579 steps, improv/step: 0.295 (last = 0.5000), fitness=0.402558221
62.24 secs, 703 evals, 585 steps, improv/step: 0.294 (last = 0.1667), fitness=0.402558221
62.80 secs, 709 evals, 591 steps, improv/step: 0.294 (last = 0.3333), fitness=0.402558221
63.34 secs, 715 evals, 597 steps, improv/step: 0.291 (last = 0.0000), fitness=0.402558221
63.88 secs, 721 evals, 603 steps, improv/step: 0.292 (last = 0.3333), fitness=0.402558221
64.43 secs, 727 evals, 609 steps, improv/step: 0.291 (last = 0.1667), fitness=0.402558221
64.98 secs, 733 evals, 615 steps, improv/step: 0.289 (last = 0.1667), fitness=0.402558221
65.54 secs, 739 evals, 621 steps, improv/step: 0.287 (last = 0.0000), fitness=0.402558221
66.10 secs, 745 evals, 627 steps, improv/step: 0.285 (last = 0.1667), fitness=0.402558221
66.67 secs, 751 evals, 633 steps, improv/step: 0.288 (last = 0.5000), fitness=0.402558221
67.22 secs, 757 evals, 639 steps, improv/step: 0.285 (last = 0.0000), fitness=0.402558221
67.79 secs, 763 evals, 645 steps, improv/step: 0.284 (last = 0.1667), fitness=0.402558221
68.35 secs, 769 evals, 651 steps, improv/step: 0.284 (last = 0.3333), fitness=0.402558221
68.91 secs, 775 evals, 657 steps, improv/step: 0.283 (last = 0.1667), fitness=0.402558221
69.46 secs, 781 evals, 662 steps, improv/step: 0.282 (last = 0.2000), fitness=0.048717325
70.03 secs, 787 evals, 668 steps, improv/step: 0.286 (last = 0.6667), fitness=0.048717325
70.57 secs, 793 evals, 674 steps, improv/step: 0.286 (last = 0.3333), fitness=0.048717325
71.10 secs, 799 evals, 680 steps, improv/step: 0.285 (last = 0.1667), fitness=0.048717325
71.63 secs, 805 evals, 686 steps, improv/step: 0.284 (last = 0.1667), fitness=0.048717325
72.18 secs, 811 evals, 692 steps, improv/step: 0.282 (last = 0.0000), fitness=0.048717325
72.73 secs, 817 evals, 698 steps, improv/step: 0.282 (last = 0.3333), fitness=0.048717325
73.28 secs, 823 evals, 704 steps, improv/step: 0.284 (last = 0.5000), fitness=0.048717325
73.81 secs, 829 evals, 710 steps, improv/step: 0.285 (last = 0.3333), fitness=0.048717325
74.37 secs, 835 evals, 715 steps, improv/step: 0.284 (last = 0.2000), fitness=0.048717325
74.93 secs, 841 evals, 721 steps, improv/step: 0.286 (last = 0.5000), fitness=0.048717325
75.56 secs, 848 evals, 727 steps, improv/step: 0.287 (last = 0.5000), fitness=0.048717325
76.11 secs, 854 evals, 733 steps, improv/step: 0.288 (last = 0.3333), fitness=0.048717325
76.67 secs, 860 evals, 739 steps, improv/step: 0.287 (last = 0.1667), fitness=0.048717325
77.22 secs, 866 evals, 745 steps, improv/step: 0.287 (last = 0.3333), fitness=0.048717325
77.79 secs, 872 evals, 751 steps, improv/step: 0.289 (last = 0.5000), fitness=0.048717325
78.33 secs, 878 evals, 757 steps, improv/step: 0.289 (last = 0.3333), fitness=0.048717325
78.90 secs, 884 evals, 763 steps, improv/step: 0.288 (last = 0.1667), fitness=0.048717325
79.47 secs, 890 evals, 769 steps, improv/step: 0.287 (last = 0.1667), fitness=0.048717325
80.03 secs, 896 evals, 775 steps, improv/step: 0.286 (last = 0.1667), fitness=0.048717325
80.58 secs, 902 evals, 781 steps, improv/step: 0.287 (last = 0.3333), fitness=0.048717325
81.14 secs, 908 evals, 787 steps, improv/step: 0.287 (last = 0.3333), fitness=0.048717325
81.70 secs, 914 evals, 793 steps, improv/step: 0.288 (last = 0.3333), fitness=0.048717325
82.26 secs, 920 evals, 799 steps, improv/step: 0.288 (last = 0.3333), fitness=0.048717325
82.81 secs, 926 evals, 805 steps, improv/step: 0.289 (last = 0.5000), fitness=0.048717325
83.38 secs, 932 evals, 811 steps, improv/step: 0.289 (last = 0.1667), fitness=0.048717325
83.96 secs, 938 evals, 817 steps, improv/step: 0.288 (last = 0.1667), fitness=0.048717325
84.54 secs, 944 evals, 823 steps, improv/step: 0.288 (last = 0.3333), fitness=0.048717325
85.12 secs, 950 evals, 829 steps, improv/step: 0.290 (last = 0.5000), fitness=0.048717325
85.71 secs, 956 evals, 835 steps, improv/step: 0.290 (last = 0.3333), fitness=0.048717325
86.29 secs, 962 evals, 841 steps, improv/step: 0.290 (last = 0.3333), fitness=0.048717325
86.86 secs, 968 evals, 847 steps, improv/step: 0.292 (last = 0.5000), fitness=0.048717325
87.43 secs, 974 evals, 853 steps, improv/step: 0.291 (last = 0.1667), fitness=0.048717325
88.00 secs, 980 evals, 859 steps, improv/step: 0.289 (last = 0.0000), fitness=0.048717325
88.58 secs, 986 evals, 865 steps, improv/step: 0.289 (last = 0.3333), fitness=0.048717325
89.14 secs, 992 evals, 871 steps, improv/step: 0.289 (last = 0.3333), fitness=0.048717325
89.70 secs, 998 evals, 877 steps, improv/step: 0.290 (last = 0.3333), fitness=0.048717325
90.28 secs, 1004 evals, 883 steps, improv/step: 0.288 (last = 0.0000), fitness=0.048717325
90.85 secs, 1010 evals, 889 steps, improv/step: 0.290 (last = 0.6667), fitness=0.048717325
91.41 secs, 1016 evals, 895 steps, improv/step: 0.292 (last = 0.5000), fitness=0.048717325
91.97 secs, 1022 evals, 901 steps, improv/step: 0.291 (last = 0.1667), fitness=0.048717325
92.54 secs, 1028 evals, 907 steps, improv/step: 0.292 (last = 0.5000), fitness=0.048717325
93.11 secs, 1034 evals, 913 steps, improv/step: 0.292 (last = 0.3333), fitness=0.048717325
93.67 secs, 1040 evals, 919 steps, improv/step: 0.292 (last = 0.1667), fitness=0.048717325
94.23 secs, 1046 evals, 925 steps, improv/step: 0.292 (last = 0.3333), fitness=0.048717325
94.79 secs, 1052 evals, 931 steps, improv/step: 0.290 (last = 0.0000), fitness=0.048717325
95.36 secs, 1058 evals, 937 steps, improv/step: 0.289 (last = 0.1667), fitness=0.048124816
95.90 secs, 1064 evals, 943 steps, improv/step: 0.290 (last = 0.3333), fitness=0.048124816
96.46 secs, 1070 evals, 949 steps, improv/step: 0.289 (last = 0.1667), fitness=0.048124816
97.03 secs, 1076 evals, 955 steps, improv/step: 0.290 (last = 0.5000), fitness=0.048124816
97.59 secs, 1082 evals, 961 steps, improv/step: 0.291 (last = 0.5000), fitness=0.048124816
98.15 secs, 1088 evals, 967 steps, improv/step: 0.292 (last = 0.3333), fitness=0.048124816
98.72 secs, 1094 evals, 973 steps, improv/step: 0.291 (last = 0.1667), fitness=0.048124816
99.29 secs, 1100 evals, 979 steps, improv/step: 0.291 (last = 0.3333), fitness=0.048124816
99.86 secs, 1106 evals, 985 steps, improv/step: 0.289 (last = 0.0000), fitness=0.048124816
100.43 secs, 1112 evals, 991 steps, improv/step: 0.290 (last = 0.3333), fitness=0.048124816
100.98 secs, 1118 evals, 997 steps, improv/step: 0.289 (last = 0.1667), fitness=0.040769723
101.54 secs, 1124 evals, 1003 steps, improv/step: 0.290 (last = 0.5000), fitness=0.040769723
102.09 secs, 1130 evals, 1009 steps, improv/step: 0.289 (last = 0.1667), fitness=0.040769723
102.63 secs, 1136 evals, 1015 steps, improv/step: 0.288 (last = 0.0000), fitness=0.040769723
103.18 secs, 1142 evals, 1021 steps, improv/step: 0.290 (last = 0.6667), fitness=0.040769723
103.74 secs, 1148 evals, 1027 steps, improv/step: 0.292 (last = 0.6667), fitness=0.040769723
104.28 secs, 1154 evals, 1033 steps, improv/step: 0.294 (last = 0.6667), fitness=0.040769723
104.82 secs, 1160 evals, 1039 steps, improv/step: 0.295 (last = 0.3333), fitness=0.040769723
105.39 secs, 1166 evals, 1045 steps, improv/step: 0.297 (last = 0.6667), fitness=0.040769723
105.95 secs, 1172 evals, 1051 steps, improv/step: 0.297 (last = 0.3333), fitness=0.040769723
106.49 secs, 1178 evals, 1057 steps, improv/step: 0.296 (last = 0.1667), fitness=0.040769723
107.03 secs, 1184 evals, 1063 steps, improv/step: 0.294 (last = 0.0000), fitness=0.040769723
107.59 secs, 1190 evals, 1069 steps, improv/step: 0.294 (last = 0.1667), fitness=0.040769723
108.14 secs, 1196 evals, 1075 steps, improv/step: 0.294 (last = 0.3333), fitness=0.040769723
108.67 secs, 1202 evals, 1081 steps, improv/step: 0.294 (last = 0.3333), fitness=0.040769723
109.22 secs, 1208 evals, 1087 steps, improv/step: 0.293 (last = 0.1667), fitness=0.040769723
109.78 secs, 1214 evals, 1093 steps, improv/step: 0.294 (last = 0.3333), fitness=0.040769723
110.33 secs, 1220 evals, 1099 steps, improv/step: 0.293 (last = 0.1667), fitness=0.040769723
110.89 secs, 1226 evals, 1105 steps, improv/step: 0.292 (last = 0.1667), fitness=0.040769723
111.46 secs, 1232 evals, 1111 steps, improv/step: 0.294 (last = 0.6667), fitness=0.040769723
112.02 secs, 1238 evals, 1117 steps, improv/step: 0.294 (last = 0.1667), fitness=0.040769723
112.59 secs, 1244 evals, 1123 steps, improv/step: 0.295 (last = 0.5000), fitness=0.040769723
113.15 secs, 1250 evals, 1129 steps, improv/step: 0.295 (last = 0.3333), fitness=0.040769723
113.72 secs, 1256 evals, 1135 steps, improv/step: 0.297 (last = 0.6667), fitness=0.040769723
114.28 secs, 1262 evals, 1141 steps, improv/step: 0.297 (last = 0.3333), fitness=0.040769723
114.82 secs, 1268 evals, 1147 steps, improv/step: 0.297 (last = 0.3333), fitness=0.040769723
115.38 secs, 1274 evals, 1153 steps, improv/step: 0.297 (last = 0.1667), fitness=0.040769723
115.94 secs, 1280 evals, 1159 steps, improv/step: 0.296 (last = 0.1667), fitness=0.040769723
116.52 secs, 1286 evals, 1165 steps, improv/step: 0.295 (last = 0.1667), fitness=0.040769723
117.10 secs, 1292 evals, 1171 steps, improv/step: 0.295 (last = 0.1667), fitness=0.040769723
117.66 secs, 1298 evals, 1177 steps, improv/step: 0.295 (last = 0.3333), fitness=0.040769723
118.22 secs, 1304 evals, 1183 steps, improv/step: 0.295 (last = 0.3333), fitness=0.040769723
118.81 secs, 1310 evals, 1189 steps, improv/step: 0.295 (last = 0.3333), fitness=0.040769723
119.37 secs, 1316 evals, 1195 steps, improv/step: 0.296 (last = 0.5000), fitness=0.040769723
119.94 secs, 1322 evals, 1201 steps, improv/step: 0.295 (last = 0.0000), fitness=0.040769723
120.50 secs, 1328 evals, 1207 steps, improv/step: 0.294 (last = 0.1667), fitness=0.040769723
121.08 secs, 1334 evals, 1213 steps, improv/step: 0.294 (last = 0.3333), fitness=0.040769723
121.65 secs, 1340 evals, 1219 steps, improv/step: 0.295 (last = 0.3333), fitness=0.040769723
122.19 secs, 1346 evals, 1225 steps, improv/step: 0.295 (last = 0.3333), fitness=0.040769723
122.73 secs, 1352 evals, 1231 steps, improv/step: 0.294 (last = 0.1667), fitness=0.040769723
123.30 secs, 1358 evals, 1237 steps, improv/step: 0.294 (last = 0.3333), fitness=0.040769723
123.86 secs, 1364 evals, 1243 steps, improv/step: 0.294 (last = 0.1667), fitness=0.037604125
124.41 secs, 1370 evals, 1249 steps, improv/step: 0.293 (last = 0.1667), fitness=0.037604125
125.00 secs, 1376 evals, 1255 steps, improv/step: 0.292 (last = 0.0000), fitness=0.037604125
125.58 secs, 1382 evals, 1261 steps, improv/step: 0.291 (last = 0.1667), fitness=0.037604125
126.16 secs, 1388 evals, 1267 steps, improv/step: 0.291 (last = 0.3333), fitness=0.037604125
126.74 secs, 1394 evals, 1273 steps, improv/step: 0.291 (last = 0.1667), fitness=0.037604125
127.32 secs, 1400 evals, 1279 steps, improv/step: 0.290 (last = 0.1667), fitness=0.037604125
127.91 secs, 1406 evals, 1285 steps, improv/step: 0.289 (last = 0.1667), fitness=0.037604125
128.45 secs, 1412 evals, 1291 steps, improv/step: 0.290 (last = 0.3333), fitness=0.037604125
128.99 secs, 1418 evals, 1297 steps, improv/step: 0.290 (last = 0.3333), fitness=0.037604125
129.55 secs, 1424 evals, 1303 steps, improv/step: 0.289 (last = 0.1667), fitness=0.037604125
130.11 secs, 1430 evals, 1309 steps, improv/step: 0.290 (last = 0.3333), fitness=0.037604125
130.65 secs, 1436 evals, 1315 steps, improv/step: 0.288 (last = 0.0000), fitness=0.037604125
131.19 secs, 1442 evals, 1321 steps, improv/step: 0.289 (last = 0.5000), fitness=0.037604125
131.75 secs, 1448 evals, 1327 steps, improv/step: 0.289 (last = 0.1667), fitness=0.037604125
132.31 secs, 1454 evals, 1333 steps, improv/step: 0.287 (last = 0.0000), fitness=0.037604125
132.87 secs, 1460 evals, 1339 steps, improv/step: 0.287 (last = 0.1667), fitness=0.037604125
133.40 secs, 1466 evals, 1345 steps, improv/step: 0.286 (last = 0.0000), fitness=0.037604125
133.95 secs, 1472 evals, 1351 steps, improv/step: 0.285 (last = 0.1667), fitness=0.037604125
134.51 secs, 1478 evals, 1357 steps, improv/step: 0.286 (last = 0.5000), fitness=0.037604125
135.06 secs, 1484 evals, 1363 steps, improv/step: 0.285 (last = 0.0000), fitness=0.037604125
135.61 secs, 1490 evals, 1369 steps, improv/step: 0.284 (last = 0.1667), fitness=0.037604125
136.17 secs, 1496 evals, 1375 steps, improv/step: 0.285 (last = 0.5000), fitness=0.037604125
136.76 secs, 1502 evals, 1381 steps, improv/step: 0.286 (last = 0.5000), fitness=0.035975347
137.30 secs, 1508 evals, 1387 steps, improv/step: 0.286 (last = 0.3333), fitness=0.035975347
137.87 secs, 1514 evals, 1393 steps, improv/step: 0.287 (last = 0.5000), fitness=0.035975347
138.44 secs, 1520 evals, 1399 steps, improv/step: 0.287 (last = 0.1667), fitness=0.035975347
139.01 secs, 1526 evals, 1405 steps, improv/step: 0.288 (last = 0.5000), fitness=0.035975347
139.55 secs, 1532 evals, 1411 steps, improv/step: 0.288 (last = 0.3333), fitness=0.035975347
140.11 secs, 1538 evals, 1417 steps, improv/step: 0.287 (last = 0.0000), fitness=0.035975347
140.64 secs, 1544 evals, 1423 steps, improv/step: 0.286 (last = 0.1667), fitness=0.035975347
141.18 secs, 1550 evals, 1429 steps, improv/step: 0.286 (last = 0.1667), fitness=0.035975347
141.74 secs, 1556 evals, 1435 steps, improv/step: 0.286 (last = 0.3333), fitness=0.035975347
142.29 secs, 1562 evals, 1441 steps, improv/step: 0.285 (last = 0.1667), fitness=0.035975347
142.83 secs, 1568 evals, 1447 steps, improv/step: 0.285 (last = 0.1667), fitness=0.035975347
143.39 secs, 1574 evals, 1453 steps, improv/step: 0.284 (last = 0.1667), fitness=0.035975347
143.96 secs, 1580 evals, 1459 steps, improv/step: 0.284 (last = 0.3333), fitness=0.035975347
144.54 secs, 1586 evals, 1465 steps, improv/step: 0.284 (last = 0.1667), fitness=0.035975347
145.08 secs, 1592 evals, 1471 steps, improv/step: 0.283 (last = 0.0000), fitness=0.035975347
145.62 secs, 1598 evals, 1477 steps, improv/step: 0.283 (last = 0.3333), fitness=0.035975347
146.20 secs, 1604 evals, 1483 steps, improv/step: 0.283 (last = 0.1667), fitness=0.035975347
146.75 secs, 1610 evals, 1489 steps, improv/step: 0.283 (last = 0.3333), fitness=0.035975347
147.33 secs, 1616 evals, 1495 steps, improv/step: 0.283 (last = 0.3333), fitness=0.035975347
147.91 secs, 1622 evals, 1501 steps, improv/step: 0.282 (last = 0.1667), fitness=0.035975347
148.44 secs, 1628 evals, 1507 steps, improv/step: 0.281 (last = 0.0000), fitness=0.035975347
148.96 secs, 1634 evals, 1513 steps, improv/step: 0.282 (last = 0.5000), fitness=0.035975347
149.48 secs, 1640 evals, 1519 steps, improv/step: 0.282 (last = 0.1667), fitness=0.035975347
150.04 secs, 1646 evals, 1525 steps, improv/step: 0.282 (last = 0.3333), fitness=0.035975347
150.60 secs, 1652 evals, 1531 steps, improv/step: 0.282 (last = 0.1667), fitness=0.035975347
151.17 secs, 1658 evals, 1537 steps, improv/step: 0.280 (last = 0.0000), fitness=0.035975347
151.75 secs, 1664 evals, 1543 steps, improv/step: 0.280 (last = 0.1667), fitness=0.035975347
152.33 secs, 1670 evals, 1549 steps, improv/step: 0.281 (last = 0.5000), fitness=0.035975347
152.90 secs, 1676 evals, 1555 steps, improv/step: 0.280 (last = 0.0000), fitness=0.035975347
153.47 secs, 1682 evals, 1561 steps, improv/step: 0.281 (last = 0.5000), fitness=0.035975347
154.05 secs, 1688 evals, 1567 steps, improv/step: 0.280 (last = 0.1667), fitness=0.035975347
154.63 secs, 1694 evals, 1573 steps, improv/step: 0.280 (last = 0.1667), fitness=0.035975347
155.21 secs, 1700 evals, 1579 steps, improv/step: 0.279 (last = 0.1667), fitness=0.035975347
155.78 secs, 1706 evals, 1585 steps, improv/step: 0.281 (last = 0.6667), fitness=0.035975347
156.34 secs, 1712 evals, 1591 steps, improv/step: 0.280 (last = 0.1667), fitness=0.035975347
156.84 secs, 1717 evals, 1596 steps, improv/step: 0.280 (last = 0.2000), fitness=0.035975347
157.38 secs, 1723 evals, 1602 steps, improv/step: 0.280 (last = 0.3333), fitness=0.035975347
157.94 secs, 1729 evals, 1608 steps, improv/step: 0.280 (last = 0.3333), fitness=0.035975347
158.49 secs, 1735 evals, 1614 steps, improv/step: 0.282 (last = 0.6667), fitness=0.035975347
159.06 secs, 1741 evals, 1620 steps, improv/step: 0.281 (last = 0.1667), fitness=0.035975347
159.59 secs, 1747 evals, 1626 steps, improv/step: 0.282 (last = 0.3333), fitness=0.035975347
160.13 secs, 1753 evals, 1632 steps, improv/step: 0.281 (last = 0.1667), fitness=0.035975347
160.67 secs, 1759 evals, 1638 steps, improv/step: 0.281 (last = 0.1667), fitness=0.035975347
161.22 secs, 1765 evals, 1644 steps, improv/step: 0.281 (last = 0.3333), fitness=0.035975347
161.76 secs, 1771 evals, 1650 steps, improv/step: 0.282 (last = 0.5000), fitness=0.035975347
162.31 secs, 1777 evals, 1656 steps, improv/step: 0.282 (last = 0.3333), fitness=0.035975347
162.87 secs, 1783 evals, 1662 steps, improv/step: 0.281 (last = 0.0000), fitness=0.035975347
163.42 secs, 1789 evals, 1668 steps, improv/step: 0.282 (last = 0.6667), fitness=0.035975347
163.96 secs, 1795 evals, 1674 steps, improv/step: 0.283 (last = 0.3333), fitness=0.035850556
164.52 secs, 1801 evals, 1680 steps, improv/step: 0.282 (last = 0.0000), fitness=0.035850556
165.09 secs, 1807 evals, 1686 steps, improv/step: 0.282 (last = 0.5000), fitness=0.035850556
165.67 secs, 1813 evals, 1692 steps, improv/step: 0.282 (last = 0.1667), fitness=0.035850556
166.24 secs, 1819 evals, 1698 steps, improv/step: 0.283 (last = 0.5000), fitness=0.035850556
166.80 secs, 1825 evals, 1704 steps, improv/step: 0.283 (last = 0.3333), fitness=0.035803861
167.37 secs, 1831 evals, 1710 steps, improv/step: 0.284 (last = 0.5000), fitness=0.035803861
167.94 secs, 1837 evals, 1716 steps, improv/step: 0.284 (last = 0.3333), fitness=0.035803861
168.52 secs, 1843 evals, 1722 steps, improv/step: 0.283 (last = 0.1667), fitness=0.035803861
169.09 secs, 1849 evals, 1728 steps, improv/step: 0.282 (last = 0.0000), fitness=0.035803861
169.63 secs, 1855 evals, 1734 steps, improv/step: 0.284 (last = 0.6667), fitness=0.035803861
170.19 secs, 1861 evals, 1740 steps, improv/step: 0.284 (last = 0.3333), fitness=0.035803861
170.75 secs, 1867 evals, 1746 steps, improv/step: 0.283 (last = 0.0000), fitness=0.035803861
171.29 secs, 1873 evals, 1752 steps, improv/step: 0.284 (last = 0.5000), fitness=0.035803861
171.84 secs, 1879 evals, 1758 steps, improv/step: 0.283 (last = 0.1667), fitness=0.035803861
172.40 secs, 1885 evals, 1764 steps, improv/step: 0.284 (last = 0.5000), fitness=0.035803861
172.97 secs, 1891 evals, 1770 steps, improv/step: 0.283 (last = 0.0000), fitness=0.035803861
173.51 secs, 1897 evals, 1776 steps, improv/step: 0.284 (last = 0.5000), fitness=0.035769861
174.06 secs, 1903 evals, 1782 steps, improv/step: 0.284 (last = 0.3333), fitness=0.035769861
174.60 secs, 1909 evals, 1788 steps, improv/step: 0.285 (last = 0.5000), fitness=0.035769861
175.15 secs, 1915 evals, 1794 steps, improv/step: 0.284 (last = 0.1667), fitness=0.035769861
175.70 secs, 1921 evals, 1800 steps, improv/step: 0.284 (last = 0.3333), fitness=0.035769861
176.26 secs, 1927 evals, 1806 steps, improv/step: 0.286 (last = 0.6667), fitness=0.035769861
176.85 secs, 1933 evals, 1812 steps, improv/step: 0.285 (last = 0.1667), fitness=0.035769861
177.39 secs, 1939 evals, 1818 steps, improv/step: 0.284 (last = 0.0000), fitness=0.035769861
177.94 secs, 1945 evals, 1824 steps, improv/step: 0.284 (last = 0.1667), fitness=0.035769861
178.50 secs, 1951 evals, 1830 steps, improv/step: 0.285 (last = 0.5000), fitness=0.035769861
179.06 secs, 1957 evals, 1836 steps, improv/step: 0.285 (last = 0.3333), fitness=0.035769861
179.63 secs, 1963 evals, 1842 steps, improv/step: 0.285 (last = 0.3333), fitness=0.035769861
180.19 secs, 1969 evals, 1848 steps, improv/step: 0.284 (last = 0.0000), fitness=0.035769861
180.75 secs, 1975 evals, 1854 steps, improv/step: 0.284 (last = 0.1667), fitness=0.035769861
181.35 secs, 1981 evals, 1860 steps, improv/step: 0.283 (last = 0.0000), fitness=0.035769861
181.93 secs, 1987 evals, 1866 steps, improv/step: 0.283 (last = 0.3333), fitness=0.035769861
182.50 secs, 1993 evals, 1872 steps, improv/step: 0.283 (last = 0.1667), fitness=0.035769861
183.07 secs, 1999 evals, 1878 steps, improv/step: 0.282 (last = 0.1667), fitness=0.035769861
183.66 secs, 2005 evals, 1884 steps, improv/step: 0.282 (last = 0.3333), fitness=0.035769861
184.23 secs, 2011 evals, 1890 steps, improv/step: 0.282 (last = 0.1667), fitness=0.035769861
184.78 secs, 2017 evals, 1896 steps, improv/step: 0.282 (last = 0.3333), fitness=0.035769861
185.36 secs, 2023 evals, 1902 steps, improv/step: 0.283 (last = 0.5000), fitness=0.035769861
185.93 secs, 2029 evals, 1908 steps, improv/step: 0.282 (last = 0.1667), fitness=0.035769861
186.50 secs, 2035 evals, 1914 steps, improv/step: 0.283 (last = 0.5000), fitness=0.035769861
187.03 secs, 2041 evals, 1920 steps, improv/step: 0.283 (last = 0.3333), fitness=0.035769861
187.59 secs, 2047 evals, 1926 steps, improv/step: 0.283 (last = 0.3333), fitness=0.035769861
188.16 secs, 2053 evals, 1932 steps, improv/step: 0.284 (last = 0.3333), fitness=0.035769861
188.73 secs, 2059 evals, 1938 steps, improv/step: 0.284 (last = 0.3333), fitness=0.035769861
189.29 secs, 2065 evals, 1944 steps, improv/step: 0.284 (last = 0.3333), fitness=0.035769861
189.85 secs, 2071 evals, 1950 steps, improv/step: 0.284 (last = 0.3333), fitness=0.035769861
190.42 secs, 2077 evals, 1956 steps, improv/step: 0.285 (last = 0.6667), fitness=0.035769861
190.98 secs, 2083 evals, 1962 steps, improv/step: 0.286 (last = 0.5000), fitness=0.035769861
191.54 secs, 2089 evals, 1968 steps, improv/step: 0.287 (last = 0.6667), fitness=0.035769861
192.10 secs, 2095 evals, 1974 steps, improv/step: 0.287 (last = 0.3333), fitness=0.035769861
192.63 secs, 2101 evals, 1980 steps, improv/step: 0.287 (last = 0.3333), fitness=0.035769861
193.13 secs, 2107 evals, 1986 steps, improv/step: 0.288 (last = 0.5000), fitness=0.035769861
193.66 secs, 2113 evals, 1992 steps, improv/step: 0.288 (last = 0.3333), fitness=0.035769861
194.16 secs, 2119 evals, 1998 steps, improv/step: 0.288 (last = 0.3333), fitness=0.035769861
194.68 secs, 2125 evals, 2004 steps, improv/step: 0.288 (last = 0.1667), fitness=0.035769861
195.20 secs, 2131 evals, 2010 steps, improv/step: 0.289 (last = 0.6667), fitness=0.035769861
195.72 secs, 2137 evals, 2016 steps, improv/step: 0.289 (last = 0.3333), fitness=0.035769861
196.24 secs, 2143 evals, 2022 steps, improv/step: 0.288 (last = 0.0000), fitness=0.035769861
196.76 secs, 2149 evals, 2028 steps, improv/step: 0.289 (last = 0.5000), fitness=0.035765557
197.30 secs, 2155 evals, 2034 steps, improv/step: 0.289 (last = 0.1667), fitness=0.035765557
197.81 secs, 2161 evals, 2040 steps, improv/step: 0.288 (last = 0.1667), fitness=0.035765557
198.31 secs, 2167 evals, 2046 steps, improv/step: 0.287 (last = 0.0000), fitness=0.035765557
198.81 secs, 2173 evals, 2052 steps, improv/step: 0.288 (last = 0.3333), fitness=0.035765557
199.37 secs, 2180 evals, 2059 steps, improv/step: 0.287 (last = 0.1429), fitness=0.035765557
199.91 secs, 2187 evals, 2066 steps, improv/step: 0.288 (last = 0.4286), fitness=0.035765557
200.46 secs, 2194 evals, 2073 steps, improv/step: 0.287 (last = 0.0000), fitness=0.035765557
200.96 secs, 2201 evals, 2080 steps, improv/step: 0.287 (last = 0.2857), fitness=0.035765557
201.49 secs, 2208 evals, 2087 steps, improv/step: 0.287 (last = 0.2857), fitness=0.035765557
202.02 secs, 2215 evals, 2094 steps, improv/step: 0.287 (last = 0.2857), fitness=0.035765557
202.55 secs, 2222 evals, 2101 steps, improv/step: 0.287 (last = 0.2857), fitness=0.035765557
203.14 secs, 2230 evals, 2109 steps, improv/step: 0.286 (last = 0.1250), fitness=0.035765557
203.66 secs, 2236 evals, 2115 steps, improv/step: 0.287 (last = 0.5000), fitness=0.035765557
204.20 secs, 2242 evals, 2121 steps, improv/step: 0.287 (last = 0.3333), fitness=0.035765557
204.71 secs, 2248 evals, 2127 steps, improv/step: 0.287 (last = 0.3333), fitness=0.035765557
205.21 secs, 2254 evals, 2133 steps, improv/step: 0.287 (last = 0.3333), fitness=0.035765557
205.79 secs, 2261 evals, 2140 steps, improv/step: 0.287 (last = 0.4286), fitness=0.035765557
206.30 secs, 2267 evals, 2146 steps, improv/step: 0.288 (last = 0.5000), fitness=0.035765557
206.84 secs, 2273 evals, 2152 steps, improv/step: 0.288 (last = 0.1667), fitness=0.035765557
207.41 secs, 2279 evals, 2158 steps, improv/step: 0.288 (last = 0.3333), fitness=0.035765557
207.97 secs, 2285 evals, 2164 steps, improv/step: 0.288 (last = 0.5000), fitness=0.035765557
208.47 secs, 2290 evals, 2169 steps, improv/step: 0.288 (last = 0.0000), fitness=0.035765557
209.03 secs, 2296 evals, 2175 steps, improv/step: 0.287 (last = 0.1667), fitness=0.035765557
209.60 secs, 2302 evals, 2181 steps, improv/step: 0.288 (last = 0.6667), fitness=0.035763310
210.19 secs, 2308 evals, 2187 steps, improv/step: 0.288 (last = 0.1667), fitness=0.035763310
210.77 secs, 2314 evals, 2193 steps, improv/step: 0.288 (last = 0.3333), fitness=0.035763310
211.35 secs, 2320 evals, 2199 steps, improv/step: 0.288 (last = 0.1667), fitness=0.035763310
211.93 secs, 2326 evals, 2205 steps, improv/step: 0.288 (last = 0.3333), fitness=0.035763310
212.47 secs, 2332 evals, 2211 steps, improv/step: 0.287 (last = 0.0000), fitness=0.035763310
213.06 secs, 2338 evals, 2217 steps, improv/step: 0.287 (last = 0.1667), fitness=0.035763310
213.63 secs, 2344 evals, 2223 steps, improv/step: 0.288 (last = 0.6667), fitness=0.035763310
214.17 secs, 2350 evals, 2229 steps, improv/step: 0.287 (last = 0.0000), fitness=0.035763310
214.74 secs, 2356 evals, 2235 steps, improv/step: 0.287 (last = 0.1667), fitness=0.035763310
215.30 secs, 2362 evals, 2241 steps, improv/step: 0.287 (last = 0.5000), fitness=0.035763310
215.88 secs, 2368 evals, 2247 steps, improv/step: 0.287 (last = 0.1667), fitness=0.035763310
216.45 secs, 2374 evals, 2253 steps, improv/step: 0.286 (last = 0.0000), fitness=0.035763310
216.95 secs, 2379 evals, 2258 steps, improv/step: 0.286 (last = 0.2000), fitness=0.035763310
217.54 secs, 2385 evals, 2264 steps, improv/step: 0.285 (last = 0.0000), fitness=0.035763310
218.12 secs, 2391 evals, 2270 steps, improv/step: 0.285 (last = 0.0000), fitness=0.035763310
218.70 secs, 2397 evals, 2276 steps, improv/step: 0.284 (last = 0.0000), fitness=0.035763310
219.27 secs, 2403 evals, 2282 steps, improv/step: 0.284 (last = 0.5000), fitness=0.035763310
219.85 secs, 2409 evals, 2288 steps, improv/step: 0.284 (last = 0.0000), fitness=0.035763310
220.42 secs, 2415 evals, 2294 steps, improv/step: 0.283 (last = 0.1667), fitness=0.035763310
221.00 secs, 2421 evals, 2300 steps, improv/step: 0.283 (last = 0.1667), fitness=0.035763310
221.55 secs, 2427 evals, 2306 steps, improv/step: 0.284 (last = 0.5000), fitness=0.035763310
222.10 secs, 2433 evals, 2312 steps, improv/step: 0.284 (last = 0.3333), fitness=0.035763310
222.64 secs, 2439 evals, 2318 steps, improv/step: 0.283 (last = 0.1667), fitness=0.035763310
223.16 secs, 2445 evals, 2324 steps, improv/step: 0.284 (last = 0.5000), fitness=0.035763310
223.68 secs, 2451 evals, 2330 steps, improv/step: 0.285 (last = 0.6667), fitness=0.035763310
224.20 secs, 2457 evals, 2336 steps, improv/step: 0.285 (last = 0.3333), fitness=0.035763310
224.72 secs, 2463 evals, 2342 steps, improv/step: 0.285 (last = 0.1667), fitness=0.035763310
225.24 secs, 2469 evals, 2348 steps, improv/step: 0.284 (last = 0.1667), fitness=0.035763310
225.76 secs, 2475 evals, 2354 steps, improv/step: 0.285 (last = 0.5000), fitness=0.035763310
226.33 secs, 2482 evals, 2361 steps, improv/step: 0.285 (last = 0.4286), fitness=0.035763310
226.89 secs, 2488 evals, 2367 steps, improv/step: 0.286 (last = 0.3333), fitness=0.035763310
227.45 secs, 2494 evals, 2373 steps, improv/step: 0.286 (last = 0.3333), fitness=0.035763310
228.02 secs, 2500 evals, 2379 steps, improv/step: 0.285 (last = 0.0000), fitness=0.035763310
228.60 secs, 2506 evals, 2385 steps, improv/step: 0.285 (last = 0.3333), fitness=0.035763055
229.18 secs, 2512 evals, 2391 steps, improv/step: 0.285 (last = 0.1667), fitness=0.035763055
229.74 secs, 2518 evals, 2397 steps, improv/step: 0.285 (last = 0.1667), fitness=0.035763055
230.28 secs, 2524 evals, 2403 steps, improv/step: 0.285 (last = 0.5000), fitness=0.035763055
230.81 secs, 2530 evals, 2409 steps, improv/step: 0.285 (last = 0.1667), fitness=0.035763055
231.32 secs, 2536 evals, 2415 steps, improv/step: 0.284 (last = 0.0000), fitness=0.035763055
231.89 secs, 2543 evals, 2422 steps, improv/step: 0.284 (last = 0.1429), fitness=0.035763055
232.47 secs, 2550 evals, 2429 steps, improv/step: 0.284 (last = 0.5714), fitness=0.035763055
233.04 secs, 2557 evals, 2436 steps, improv/step: 0.284 (last = 0.2857), fitness=0.035763055
233.58 secs, 2563 evals, 2442 steps, improv/step: 0.285 (last = 0.3333), fitness=0.035763055
234.14 secs, 2569 evals, 2448 steps, improv/step: 0.285 (last = 0.3333), fitness=0.035763055
234.72 secs, 2575 evals, 2454 steps, improv/step: 0.284 (last = 0.0000), fitness=0.035763055
235.27 secs, 2581 evals, 2460 steps, improv/step: 0.284 (last = 0.3333), fitness=0.035763055
235.83 secs, 2587 evals, 2466 steps, improv/step: 0.284 (last = 0.3333), fitness=0.035763055
236.40 secs, 2593 evals, 2472 steps, improv/step: 0.284 (last = 0.3333), fitness=0.035763055
236.97 secs, 2599 evals, 2478 steps, improv/step: 0.285 (last = 0.3333), fitness=0.035763055
237.54 secs, 2605 evals, 2484 steps, improv/step: 0.284 (last = 0.1667), fitness=0.035763055
238.11 secs, 2611 evals, 2490 steps, improv/step: 0.285 (last = 0.5000), fitness=0.035763055
238.69 secs, 2617 evals, 2496 steps, improv/step: 0.284 (last = 0.0000), fitness=0.035763055
239.27 secs, 2623 evals, 2502 steps, improv/step: 0.283 (last = 0.0000), fitness=0.035763055
239.83 secs, 2629 evals, 2508 steps, improv/step: 0.283 (last = 0.0000), fitness=0.035763055
240.40 secs, 2635 evals, 2514 steps, improv/step: 0.282 (last = 0.1667), fitness=0.035763055
240.96 secs, 2641 evals, 2520 steps, improv/step: 0.283 (last = 0.3333), fitness=0.035763055
241.50 secs, 2647 evals, 2526 steps, improv/step: 0.283 (last = 0.3333), fitness=0.035763055
242.03 secs, 2653 evals, 2532 steps, improv/step: 0.282 (last = 0.1667), fitness=0.035763055
242.57 secs, 2659 evals, 2538 steps, improv/step: 0.282 (last = 0.1667), fitness=0.035763055
243.10 secs, 2665 evals, 2544 steps, improv/step: 0.282 (last = 0.3333), fitness=0.035763055
243.63 secs, 2671 evals, 2550 steps, improv/step: 0.282 (last = 0.0000), fitness=0.035763055
244.13 secs, 2677 evals, 2556 steps, improv/step: 0.281 (last = 0.1667), fitness=0.035763055
244.65 secs, 2683 evals, 2562 steps, improv/step: 0.281 (last = 0.1667), fitness=0.035763055
245.23 secs, 2689 evals, 2568 steps, improv/step: 0.281 (last = 0.3333), fitness=0.035763055
245.80 secs, 2695 evals, 2574 steps, improv/step: 0.281 (last = 0.3333), fitness=0.035763055
246.34 secs, 2701 evals, 2580 steps, improv/step: 0.281 (last = 0.3333), fitness=0.035763055
246.89 secs, 2707 evals, 2586 steps, improv/step: 0.281 (last = 0.1667), fitness=0.035763055
247.47 secs, 2713 evals, 2592 steps, improv/step: 0.282 (last = 0.5000), fitness=0.035763055
248.01 secs, 2719 evals, 2598 steps, improv/step: 0.281 (last = 0.0000), fitness=0.035763055
248.56 secs, 2725 evals, 2604 steps, improv/step: 0.281 (last = 0.3333), fitness=0.035763055
249.12 secs, 2731 evals, 2610 steps, improv/step: 0.281 (last = 0.1667), fitness=0.035763055
249.67 secs, 2737 evals, 2616 steps, improv/step: 0.281 (last = 0.3333), fitness=0.035763055
250.25 secs, 2743 evals, 2622 steps, improv/step: 0.281 (last = 0.3333), fitness=0.035763055
250.78 secs, 2749 evals, 2628 steps, improv/step: 0.281 (last = 0.1667), fitness=0.035763055
251.30 secs, 2755 evals, 2634 steps, improv/step: 0.281 (last = 0.5000), fitness=0.035763055
251.84 secs, 2761 evals, 2640 steps, improv/step: 0.281 (last = 0.1667), fitness=0.035763055
252.39 secs, 2767 evals, 2646 steps, improv/step: 0.282 (last = 0.5000), fitness=0.035763055
252.95 secs, 2773 evals, 2652 steps, improv/step: 0.282 (last = 0.3333), fitness=0.035763055
253.51 secs, 2779 evals, 2658 steps, improv/step: 0.281 (last = 0.0000), fitness=0.035763055
254.07 secs, 2785 evals, 2664 steps, improv/step: 0.281 (last = 0.1667), fitness=0.035763055
254.61 secs, 2791 evals, 2670 steps, improv/step: 0.281 (last = 0.5000), fitness=0.035763055
255.14 secs, 2797 evals, 2676 steps, improv/step: 0.281 (last = 0.1667), fitness=0.035763055
255.69 secs, 2803 evals, 2682 steps, improv/step: 0.281 (last = 0.1667), fitness=0.035763055
256.24 secs, 2809 evals, 2688 steps, improv/step: 0.282 (last = 0.6667), fitness=0.035763055
256.81 secs, 2815 evals, 2694 steps, improv/step: 0.281 (last = 0.1667), fitness=0.035763055
257.37 secs, 2821 evals, 2700 steps, improv/step: 0.281 (last = 0.1667), fitness=0.035763055
257.93 secs, 2827 evals, 2706 steps, improv/step: 0.281 (last = 0.3333), fitness=0.035763055
258.49 secs, 2833 evals, 2712 steps, improv/step: 0.281 (last = 0.3333), fitness=0.035763055
259.07 secs, 2839 evals, 2718 steps, improv/step: 0.282 (last = 0.6667), fitness=0.035763055
259.61 secs, 2845 evals, 2724 steps, improv/step: 0.282 (last = 0.1667), fitness=0.035763055
260.16 secs, 2851 evals, 2730 steps, improv/step: 0.283 (last = 0.6667), fitness=0.035763055
260.70 secs, 2857 evals, 2736 steps, improv/step: 0.283 (last = 0.5000), fitness=0.035763055
261.22 secs, 2863 evals, 2742 steps, improv/step: 0.284 (last = 0.5000), fitness=0.035763055
261.73 secs, 2869 evals, 2748 steps, improv/step: 0.283 (last = 0.1667), fitness=0.035763055
262.30 secs, 2875 evals, 2754 steps, improv/step: 0.284 (last = 0.5000), fitness=0.035763055
262.86 secs, 2881 evals, 2760 steps, improv/step: 0.284 (last = 0.1667), fitness=0.035763055
263.39 secs, 2887 evals, 2766 steps, improv/step: 0.283 (last = 0.0000), fitness=0.035763055
263.96 secs, 2893 evals, 2772 steps, improv/step: 0.283 (last = 0.3333), fitness=0.035763055
264.52 secs, 2899 evals, 2778 steps, improv/step: 0.284 (last = 0.6667), fitness=0.035763055
265.06 secs, 2905 evals, 2784 steps, improv/step: 0.284 (last = 0.1667), fitness=0.035763055
265.64 secs, 2911 evals, 2790 steps, improv/step: 0.284 (last = 0.3333), fitness=0.035763055
266.21 secs, 2917 evals, 2796 steps, improv/step: 0.284 (last = 0.3333), fitness=0.035763055
266.77 secs, 2923 evals, 2802 steps, improv/step: 0.284 (last = 0.1667), fitness=0.035763055
267.34 secs, 2929 evals, 2808 steps, improv/step: 0.283 (last = 0.0000), fitness=0.035763055
267.91 secs, 2935 evals, 2814 steps, improv/step: 0.283 (last = 0.1667), fitness=0.035763055
268.47 secs, 2941 evals, 2820 steps, improv/step: 0.283 (last = 0.1667), fitness=0.035763055
269.01 secs, 2947 evals, 2826 steps, improv/step: 0.282 (last = 0.1667), fitness=0.035763055
269.57 secs, 2953 evals, 2832 steps, improv/step: 0.282 (last = 0.1667), fitness=0.035763055
270.14 secs, 2959 evals, 2838 steps, improv/step: 0.282 (last = 0.1667), fitness=0.035763055
270.71 secs, 2965 evals, 2844 steps, improv/step: 0.281 (last = 0.0000), fitness=0.035763055
271.29 secs, 2971 evals, 2850 steps, improv/step: 0.281 (last = 0.0000), fitness=0.035763055
271.85 secs, 2977 evals, 2856 steps, improv/step: 0.280 (last = 0.1667), fitness=0.035763055
272.42 secs, 2983 evals, 2862 steps, improv/step: 0.281 (last = 0.6667), fitness=0.035763055
272.99 secs, 2989 evals, 2868 steps, improv/step: 0.281 (last = 0.1667), fitness=0.035763055
273.53 secs, 2995 evals, 2874 steps, improv/step: 0.281 (last = 0.3333), fitness=0.035763055
274.03 secs, 3001 evals, 2880 steps, improv/step: 0.281 (last = 0.1667), fitness=0.035763055
274.56 secs, 3007 evals, 2886 steps, improv/step: 0.280 (last = 0.0000), fitness=0.035763055
275.13 secs, 3014 evals, 2893 steps, improv/step: 0.280 (last = 0.2857), fitness=0.035763055
275.65 secs, 3021 evals, 2900 steps, improv/step: 0.281 (last = 0.5714), fitness=0.035763055
276.21 secs, 3029 evals, 2908 steps, improv/step: 0.281 (last = 0.2500), fitness=0.035763055
276.78 secs, 3036 evals, 2915 steps, improv/step: 0.281 (last = 0.4286), fitness=0.035763055
277.30 secs, 3042 evals, 2921 steps, improv/step: 0.281 (last = 0.0000), fitness=0.035763055
277.81 secs, 3048 evals, 2927 steps, improv/step: 0.281 (last = 0.3333), fitness=0.035763055
278.32 secs, 3054 evals, 2933 steps, improv/step: 0.281 (last = 0.5000), fitness=0.035763055
278.89 secs, 3061 evals, 2940 steps, improv/step: 0.281 (last = 0.0000), fitness=0.035763055
279.45 secs, 3068 evals, 2947 steps, improv/step: 0.281 (last = 0.5714), fitness=0.035763055
279.99 secs, 3074 evals, 2953 steps, improv/step: 0.282 (last = 0.8333), fitness=0.035763055
280.55 secs, 3080 evals, 2959 steps, improv/step: 0.283 (last = 0.3333), fitness=0.035763055
281.11 secs, 3086 evals, 2965 steps, improv/step: 0.282 (last = 0.0000), fitness=0.035763055
281.65 secs, 3092 evals, 2971 steps, improv/step: 0.282 (last = 0.3333), fitness=0.035763055
282.21 secs, 3098 evals, 2977 steps, improv/step: 0.282 (last = 0.5000), fitness=0.035763055
282.77 secs, 3104 evals, 2983 steps, improv/step: 0.282 (last = 0.1667), fitness=0.035763055
283.34 secs, 3110 evals, 2989 steps, improv/step: 0.283 (last = 0.5000), fitness=0.035763055
283.92 secs, 3116 evals, 2995 steps, improv/step: 0.283 (last = 0.3333), fitness=0.035763055
284.49 secs, 3122 evals, 3001 steps, improv/step: 0.283 (last = 0.3333), fitness=0.035763055
285.06 secs, 3128 evals, 3007 steps, improv/step: 0.283 (last = 0.3333), fitness=0.035763055
285.61 secs, 3134 evals, 3013 steps, improv/step: 0.283 (last = 0.1667), fitness=0.035763038
286.18 secs, 3140 evals, 3019 steps, improv/step: 0.283 (last = 0.1667), fitness=0.035763038
286.75 secs, 3146 evals, 3025 steps, improv/step: 0.284 (last = 0.8333), fitness=0.035763038
287.29 secs, 3152 evals, 3031 steps, improv/step: 0.284 (last = 0.3333), fitness=0.035763038
287.88 secs, 3158 evals, 3037 steps, improv/step: 0.284 (last = 0.3333), fitness=0.035763038
288.44 secs, 3164 evals, 3043 steps, improv/step: 0.284 (last = 0.5000), fitness=0.035763038
289.00 secs, 3170 evals, 3049 steps, improv/step: 0.285 (last = 0.5000), fitness=0.035763037
289.51 secs, 3175 evals, 3054 steps, improv/step: 0.285 (last = 0.2000), fitness=0.035763037
290.09 secs, 3181 evals, 3060 steps, improv/step: 0.284 (last = 0.0000), fitness=0.035763037
290.65 secs, 3187 evals, 3066 steps, improv/step: 0.284 (last = 0.1667), fitness=0.035763037
291.21 secs, 3193 evals, 3072 steps, improv/step: 0.284 (last = 0.1667), fitness=0.035763037
291.79 secs, 3199 evals, 3078 steps, improv/step: 0.283 (last = 0.1667), fitness=0.035763037
292.35 secs, 3205 evals, 3084 steps, improv/step: 0.283 (last = 0.3333), fitness=0.035763037
292.89 secs, 3211 evals, 3090 steps, improv/step: 0.283 (last = 0.3333), fitness=0.035763037
293.44 secs, 3217 evals, 3096 steps, improv/step: 0.283 (last = 0.1667), fitness=0.035763037
294.00 secs, 3223 evals, 3102 steps, improv/step: 0.284 (last = 0.5000), fitness=0.035763037
294.52 secs, 3229 evals, 3108 steps, improv/step: 0.284 (last = 0.3333), fitness=0.035763037
295.05 secs, 3235 evals, 3114 steps, improv/step: 0.284 (last = 0.3333), fitness=0.035763037
295.56 secs, 3241 evals, 3120 steps, improv/step: 0.284 (last = 0.1667), fitness=0.035763037
296.07 secs, 3247 evals, 3126 steps, improv/step: 0.283 (last = 0.1667), fitness=0.035763037
296.58 secs, 3253 evals, 3132 steps, improv/step: 0.283 (last = 0.1667), fitness=0.035763037
297.09 secs, 3259 evals, 3138 steps, improv/step: 0.284 (last = 0.5000), fitness=0.035763037
297.59 secs, 3265 evals, 3144 steps, improv/step: 0.283 (last = 0.0000), fitness=0.035763037
298.11 secs, 3271 evals, 3150 steps, improv/step: 0.283 (last = 0.1667), fitness=0.035763037
298.62 secs, 3277 evals, 3156 steps, improv/step: 0.283 (last = 0.3333), fitness=0.035763037
299.12 secs, 3283 evals, 3162 steps, improv/step: 0.283 (last = 0.1667), fitness=0.035763037
299.64 secs, 3289 evals, 3168 steps, improv/step: 0.283 (last = 0.5000), fitness=0.035763037
300.17 secs, 3295 evals, 3174 steps, improv/step: 0.283 (last = 0.1667), fitness=0.035763037
300.67 secs, 3301 evals, 3180 steps, improv/step: 0.282 (last = 0.0000), fitness=0.035763037
301.18 secs, 3307 evals, 3186 steps, improv/step: 0.282 (last = 0.0000), fitness=0.035763037
301.74 secs, 3313 evals, 3192 steps, improv/step: 0.282 (last = 0.1667), fitness=0.035763037
302.32 secs, 3319 evals, 3198 steps, improv/step: 0.282 (last = 0.3333), fitness=0.035763037
302.88 secs, 3325 evals, 3204 steps, improv/step: 0.281 (last = 0.0000), fitness=0.035763037
303.45 secs, 3331 evals, 3210 steps, improv/step: 0.281 (last = 0.1667), fitness=0.035763037
304.01 secs, 3337 evals, 3216 steps, improv/step: 0.281 (last = 0.3333), fitness=0.035763037
304.57 secs, 3343 evals, 3222 steps, improv/step: 0.281 (last = 0.0000), fitness=0.035763037
305.13 secs, 3349 evals, 3228 steps, improv/step: 0.281 (last = 0.3333), fitness=0.035763037
305.68 secs, 3355 evals, 3234 steps, improv/step: 0.281 (last = 0.3333), fitness=0.035763037
306.20 secs, 3361 evals, 3240 steps, improv/step: 0.280 (last = 0.0000), fitness=0.035763037
306.75 secs, 3368 evals, 3247 steps, improv/step: 0.280 (last = 0.1429), fitness=0.035763037
307.30 secs, 3376 evals, 3255 steps, improv/step: 0.281 (last = 0.6250), fitness=0.035763036
307.85 secs, 3384 evals, 3263 steps, improv/step: 0.280 (last = 0.1250), fitness=0.035763036
308.39 secs, 3392 evals, 3271 steps, improv/step: 0.281 (last = 0.3750), fitness=0.035763036
308.93 secs, 3400 evals, 3279 steps, improv/step: 0.281 (last = 0.2500), fitness=0.035763036
309.48 secs, 3408 evals, 3287 steps, improv/step: 0.280 (last = 0.0000), fitness=0.035763036
310.05 secs, 3416 evals, 3295 steps, improv/step: 0.280 (last = 0.3750), fitness=0.035763036
310.59 secs, 3424 evals, 3303 steps, improv/step: 0.280 (last = 0.2500), fitness=0.035763036
311.13 secs, 3432 evals, 3311 steps, improv/step: 0.280 (last = 0.3750), fitness=0.035763036
311.69 secs, 3440 evals, 3319 steps, improv/step: 0.280 (last = 0.2500), fitness=0.035763034
312.25 secs, 3448 evals, 3327 steps, improv/step: 0.280 (last = 0.1250), fitness=0.035763034
312.80 secs, 3456 evals, 3335 steps, improv/step: 0.280 (last = 0.5000), fitness=0.035763034
313.35 secs, 3464 evals, 3343 steps, improv/step: 0.281 (last = 0.5000), fitness=0.035763034
313.89 secs, 3472 evals, 3351 steps, improv/step: 0.282 (last = 0.6250), fitness=0.035763034
314.43 secs, 3480 evals, 3359 steps, improv/step: 0.282 (last = 0.3750), fitness=0.035763034
314.98 secs, 3488 evals, 3367 steps, improv/step: 0.282 (last = 0.2500), fitness=0.035763034
315.56 secs, 3496 evals, 3375 steps, improv/step: 0.281 (last = 0.1250), fitness=0.035763034
316.10 secs, 3503 evals, 3382 steps, improv/step: 0.281 (last = 0.1429), fitness=0.035763034
316.67 secs, 3511 evals, 3390 steps, improv/step: 0.281 (last = 0.3750), fitness=0.035763034
317.18 secs, 3518 evals, 3397 steps, improv/step: 0.281 (last = 0.0000), fitness=0.035763034
317.73 secs, 3526 evals, 3405 steps, improv/step: 0.280 (last = 0.1250), fitness=0.035763034
318.28 secs, 3534 evals, 3413 steps, improv/step: 0.281 (last = 0.3750), fitness=0.035763034
318.81 secs, 3542 evals, 3421 steps, improv/step: 0.281 (last = 0.3750), fitness=0.035763034
319.37 secs, 3550 evals, 3429 steps, improv/step: 0.282 (last = 0.7500), fitness=0.035763034
319.93 secs, 3558 evals, 3437 steps, improv/step: 0.283 (last = 0.5000), fitness=0.035763034
320.47 secs, 3566 evals, 3445 steps, improv/step: 0.283 (last = 0.3750), fitness=0.035763034
321.02 secs, 3574 evals, 3453 steps, improv/step: 0.283 (last = 0.3750), fitness=0.035763034
321.58 secs, 3582 evals, 3461 steps, improv/step: 0.283 (last = 0.3750), fitness=0.035763034
322.12 secs, 3590 evals, 3469 steps, improv/step: 0.283 (last = 0.2500), fitness=0.035763034
322.68 secs, 3598 evals, 3477 steps, improv/step: 0.284 (last = 0.5000), fitness=0.035763034
323.23 secs, 3606 evals, 3485 steps, improv/step: 0.283 (last = 0.1250), fitness=0.035763034
323.78 secs, 3614 evals, 3493 steps, improv/step: 0.283 (last = 0.0000), fitness=0.035763034
324.33 secs, 3622 evals, 3501 steps, improv/step: 0.282 (last = 0.1250), fitness=0.035763034
324.85 secs, 3628 evals, 3507 steps, improv/step: 0.282 (last = 0.1667), fitness=0.035763034
325.37 secs, 3632 evals, 3511 steps, improv/step: 0.282 (last = 0.5000), fitness=0.035763034
325.94 secs, 3640 evals, 3519 steps, improv/step: 0.282 (last = 0.1250), fitness=0.035763034
326.50 secs, 3648 evals, 3527 steps, improv/step: 0.282 (last = 0.5000), fitness=0.035763034
327.05 secs, 3656 evals, 3535 steps, improv/step: 0.282 (last = 0.1250), fitness=0.035763034
327.62 secs, 3664 evals, 3543 steps, improv/step: 0.283 (last = 0.5000), fitness=0.035763034
328.18 secs, 3672 evals, 3551 steps, improv/step: 0.283 (last = 0.3750), fitness=0.035763034
328.74 secs, 3680 evals, 3559 steps, improv/step: 0.283 (last = 0.5000), fitness=0.035763033
329.29 secs, 3688 evals, 3567 steps, improv/step: 0.283 (last = 0.2500), fitness=0.035763033
329.86 secs, 3696 evals, 3575 steps, improv/step: 0.283 (last = 0.2500), fitness=0.035763033
330.41 secs, 3704 evals, 3583 steps, improv/step: 0.283 (last = 0.3750), fitness=0.035763033
330.95 secs, 3711 evals, 3590 steps, improv/step: 0.283 (last = 0.1429), fitness=0.035763033
331.47 secs, 3717 evals, 3596 steps, improv/step: 0.283 (last = 0.0000), fitness=0.035763033
331.99 secs, 3723 evals, 3602 steps, improv/step: 0.283 (last = 0.5000), fitness=0.035763033
332.57 secs, 3730 evals, 3609 steps, improv/step: 0.283 (last = 0.1429), fitness=0.035763033
333.15 secs, 3737 evals, 3616 steps, improv/step: 0.282 (last = 0.1429), fitness=0.035763033
333.73 secs, 3744 evals, 3623 steps, improv/step: 0.282 (last = 0.1429), fitness=0.035763033
334.25 secs, 3750 evals, 3629 steps, improv/step: 0.282 (last = 0.3333), fitness=0.035763033
334.81 secs, 3756 evals, 3635 steps, improv/step: 0.282 (last = 0.3333), fitness=0.035763033
335.38 secs, 3762 evals, 3641 steps, improv/step: 0.282 (last = 0.3333), fitness=0.035763033
335.94 secs, 3768 evals, 3647 steps, improv/step: 0.282 (last = 0.1667), fitness=0.035763033
336.50 secs, 3774 evals, 3653 steps, improv/step: 0.282 (last = 0.1667), fitness=0.035763033
337.06 secs, 3780 evals, 3659 steps, improv/step: 0.281 (last = 0.0000), fitness=0.035763033
337.65 secs, 3786 evals, 3665 steps, improv/step: 0.281 (last = 0.1667), fitness=0.035763033
338.23 secs, 3792 evals, 3671 steps, improv/step: 0.282 (last = 0.5000), fitness=0.035763033
338.82 secs, 3798 evals, 3677 steps, improv/step: 0.281 (last = 0.1667), fitness=0.035763033
339.37 secs, 3804 evals, 3683 steps, improv/step: 0.281 (last = 0.0000), fitness=0.035763033
339.92 secs, 3810 evals, 3689 steps, improv/step: 0.282 (last = 0.6667), fitness=0.035763033
340.51 secs, 3816 evals, 3695 steps, improv/step: 0.281 (last = 0.0000), fitness=0.035763033
341.08 secs, 3822 evals, 3701 steps, improv/step: 0.282 (last = 0.5000), fitness=0.035763032
341.66 secs, 3829 evals, 3708 steps, improv/step: 0.281 (last = 0.0000), fitness=0.035763032
342.19 secs, 3836 evals, 3715 steps, improv/step: 0.281 (last = 0.1429), fitness=0.035763032
342.74 secs, 3844 evals, 3723 steps, improv/step: 0.280 (last = 0.0000), fitness=0.035763032
343.28 secs, 3852 evals, 3731 steps, improv/step: 0.280 (last = 0.0000), fitness=0.035763032
343.81 secs, 3860 evals, 3739 steps, improv/step: 0.279 (last = 0.1250), fitness=0.035763032
344.36 secs, 3868 evals, 3747 steps, improv/step: 0.279 (last = 0.1250), fitness=0.035763032
344.91 secs, 3876 evals, 3755 steps, improv/step: 0.279 (last = 0.1250), fitness=0.035763032
345.44 secs, 3884 evals, 3763 steps, improv/step: 0.279 (last = 0.5000), fitness=0.035763032
345.99 secs, 3892 evals, 3771 steps, improv/step: 0.279 (last = 0.3750), fitness=0.035763032
346.52 secs, 3898 evals, 3777 steps, improv/step: 0.279 (last = 0.1667), fitness=0.035763032
347.05 secs, 3904 evals, 3783 steps, improv/step: 0.279 (last = 0.3333), fitness=0.035763032
347.63 secs, 3911 evals, 3790 steps, improv/step: 0.279 (last = 0.1429), fitness=0.035763032
348.18 secs, 3917 evals, 3796 steps, improv/step: 0.279 (last = 0.3333), fitness=0.035763032
348.75 secs, 3923 evals, 3802 steps, improv/step: 0.279 (last = 0.1667), fitness=0.035763032
349.31 secs, 3929 evals, 3808 steps, improv/step: 0.278 (last = 0.0000), fitness=0.035763032
349.88 secs, 3935 evals, 3814 steps, improv/step: 0.278 (last = 0.1667), fitness=0.035763032
350.44 secs, 3941 evals, 3820 steps, improv/step: 0.278 (last = 0.0000), fitness=0.035763032
351.00 secs, 3947 evals, 3826 steps, improv/step: 0.278 (last = 0.1667), fitness=0.035763032
351.55 secs, 3953 evals, 3832 steps, improv/step: 0.278 (last = 0.3333), fitness=0.035763032
352.14 secs, 3959 evals, 3838 steps, improv/step: 0.277 (last = 0.1667), fitness=0.035763032
352.68 secs, 3965 evals, 3844 steps, improv/step: 0.277 (last = 0.0000), fitness=0.035763032
353.21 secs, 3971 evals, 3850 steps, improv/step: 0.277 (last = 0.1667), fitness=0.035763032
353.74 secs, 3977 evals, 3856 steps, improv/step: 0.276 (last = 0.0000), fitness=0.035763032
354.27 secs, 3983 evals, 3862 steps, improv/step: 0.277 (last = 0.3333), fitness=0.035763032
354.78 secs, 3989 evals, 3868 steps, improv/step: 0.276 (last = 0.0000), fitness=0.035763032
355.29 secs, 3995 evals, 3874 steps, improv/step: 0.276 (last = 0.3333), fitness=0.035763032
355.80 secs, 4001 evals, 3880 steps, improv/step: 0.276 (last = 0.1667), fitness=0.035763032
356.32 secs, 4007 evals, 3886 steps, improv/step: 0.276 (last = 0.0000), fitness=0.035763032
356.83 secs, 4013 evals, 3892 steps, improv/step: 0.276 (last = 0.3333), fitness=0.035763032
357.37 secs, 4019 evals, 3898 steps, improv/step: 0.276 (last = 0.3333), fitness=0.035763032
357.94 secs, 4025 evals, 3904 steps, improv/step: 0.276 (last = 0.3333), fitness=0.035763032
358.49 secs, 4032 evals, 3911 steps, improv/step: 0.276 (last = 0.4286), fitness=0.035763032
359.07 secs, 4039 evals, 3918 steps, improv/step: 0.276 (last = 0.4286), fitness=0.035763032
359.64 secs, 4045 evals, 3924 steps, improv/step: 0.276 (last = 0.0000), fitness=0.035763032
360.21 secs, 4051 evals, 3930 steps, improv/step: 0.277 (last = 0.6667), fitness=0.035763032
360.78 secs, 4057 evals, 3936 steps, improv/step: 0.277 (last = 0.3333), fitness=0.035763030
361.31 secs, 4063 evals, 3942 steps, improv/step: 0.277 (last = 0.1667), fitness=0.035763030
361.89 secs, 4070 evals, 3949 steps, improv/step: 0.276 (last = 0.0000), fitness=0.035763030
362.40 secs, 4076 evals, 3955 steps, improv/step: 0.276 (last = 0.0000), fitness=0.035763030
362.98 secs, 4083 evals, 3962 steps, improv/step: 0.276 (last = 0.2857), fitness=0.035763030
363.55 secs, 4090 evals, 3969 steps, improv/step: 0.276 (last = 0.2857), fitness=0.035763030
364.11 secs, 4097 evals, 3976 steps, improv/step: 0.275 (last = 0.1429), fitness=0.035763030
364.63 secs, 4103 evals, 3982 steps, improv/step: 0.276 (last = 0.5000), fitness=0.035763030
365.18 secs, 4109 evals, 3988 steps, improv/step: 0.276 (last = 0.3333), fitness=0.035763030
365.73 secs, 4115 evals, 3994 steps, improv/step: 0.275 (last = 0.0000), fitness=0.035763030
366.27 secs, 4121 evals, 4000 steps, improv/step: 0.275 (last = 0.1667), fitness=0.035763030
366.80 secs, 4127 evals, 4006 steps, improv/step: 0.275 (last = 0.3333), fitness=0.035763030
367.31 secs, 4133 evals, 4012 steps, improv/step: 0.275 (last = 0.1667), fitness=0.035763030
367.81 secs, 4139 evals, 4018 steps, improv/step: 0.275 (last = 0.1667), fitness=0.035763030
368.35 secs, 4145 evals, 4024 steps, improv/step: 0.275 (last = 0.0000), fitness=0.035763030
368.93 secs, 4151 evals, 4030 steps, improv/step: 0.275 (last = 0.5000), fitness=0.035763030
369.47 secs, 4157 evals, 4036 steps, improv/step: 0.275 (last = 0.1667), fitness=0.035763030
370.05 secs, 4163 evals, 4042 steps, improv/step: 0.275 (last = 0.1667), fitness=0.035763030
370.62 secs, 4169 evals, 4048 steps, improv/step: 0.274 (last = 0.1667), fitness=0.035763030
371.18 secs, 4175 evals, 4054 steps, improv/step: 0.274 (last = 0.1667), fitness=0.035763030
371.75 secs, 4181 evals, 4060 steps, improv/step: 0.275 (last = 0.5000), fitness=0.035763030
372.27 secs, 4187 evals, 4066 steps, improv/step: 0.274 (last = 0.1667), fitness=0.035763030
372.80 secs, 4193 evals, 4072 steps, improv/step: 0.275 (last = 0.3333), fitness=0.035763030
373.33 secs, 4199 evals, 4078 steps, improv/step: 0.274 (last = 0.0000), fitness=0.035763030
373.86 secs, 4205 evals, 4084 steps, improv/step: 0.274 (last = 0.3333), fitness=0.035763030
374.37 secs, 4211 evals, 4090 steps, improv/step: 0.274 (last = 0.3333), fitness=0.035763029
374.87 secs, 4217 evals, 4096 steps, improv/step: 0.274 (last = 0.0000), fitness=0.035763029
375.38 secs, 4223 evals, 4102 steps, improv/step: 0.274 (last = 0.0000), fitness=0.035763029
375.90 secs, 4230 evals, 4109 steps, improv/step: 0.274 (last = 0.4286), fitness=0.035763029
376.42 secs, 4236 evals, 4115 steps, improv/step: 0.273 (last = 0.0000), fitness=0.035763029
376.95 secs, 4242 evals, 4121 steps, improv/step: 0.274 (last = 0.5000), fitness=0.035763029
377.47 secs, 4248 evals, 4127 steps, improv/step: 0.273 (last = 0.0000), fitness=0.035763029
378.02 secs, 4254 evals, 4133 steps, improv/step: 0.273 (last = 0.0000), fitness=0.035763029
378.57 secs, 4260 evals, 4139 steps, improv/step: 0.273 (last = 0.1667), fitness=0.035763029
379.09 secs, 4266 evals, 4145 steps, improv/step: 0.273 (last = 0.1667), fitness=0.035763029
379.62 secs, 4272 evals, 4151 steps, improv/step: 0.272 (last = 0.0000), fitness=0.035763029
380.17 secs, 4278 evals, 4157 steps, improv/step: 0.272 (last = 0.1667), fitness=0.035763029
380.69 secs, 4284 evals, 4163 steps, improv/step: 0.272 (last = 0.1667), fitness=0.035763029
381.24 secs, 4291 evals, 4170 steps, improv/step: 0.272 (last = 0.2857), fitness=0.035763029
381.77 secs, 4298 evals, 4177 steps, improv/step: 0.272 (last = 0.2857), fitness=0.035763029
382.32 secs, 4306 evals, 4185 steps, improv/step: 0.272 (last = 0.2500), fitness=0.035763029
382.88 secs, 4314 evals, 4193 steps, improv/step: 0.272 (last = 0.5000), fitness=0.035763029
383.45 secs, 4322 evals, 4201 steps, improv/step: 0.272 (last = 0.2500), fitness=0.035763029
384.00 secs, 4330 evals, 4209 steps, improv/step: 0.272 (last = 0.1250), fitness=0.035763029
384.56 secs, 4338 evals, 4217 steps, improv/step: 0.272 (last = 0.2500), fitness=0.035763029
385.12 secs, 4346 evals, 4225 steps, improv/step: 0.271 (last = 0.0000), fitness=0.035763029
385.67 secs, 4354 evals, 4233 steps, improv/step: 0.271 (last = 0.2500), fitness=0.035763029
386.21 secs, 4362 evals, 4241 steps, improv/step: 0.271 (last = 0.1250), fitness=0.035763029
386.77 secs, 4370 evals, 4249 steps, improv/step: 0.271 (last = 0.2500), fitness=0.035763029
387.30 secs, 4377 evals, 4256 steps, improv/step: 0.271 (last = 0.0000), fitness=0.035763029
387.86 secs, 4383 evals, 4262 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035763029
388.38 secs, 4389 evals, 4268 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035763029
388.90 secs, 4395 evals, 4274 steps, improv/step: 0.270 (last = 0.0000), fitness=0.035763029
389.48 secs, 4402 evals, 4281 steps, improv/step: 0.270 (last = 0.1429), fitness=0.035763029
390.05 secs, 4409 evals, 4288 steps, improv/step: 0.271 (last = 0.4286), fitness=0.035763029
390.57 secs, 4415 evals, 4294 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035763029
391.10 secs, 4421 evals, 4300 steps, improv/step: 0.270 (last = 0.1667), fitness=0.035763029
391.63 secs, 4427 evals, 4306 steps, improv/step: 0.271 (last = 0.3333), fitness=0.035763029
392.15 secs, 4433 evals, 4312 steps, improv/step: 0.270 (last = 0.1667), fitness=0.035763029
392.67 secs, 4439 evals, 4318 steps, improv/step: 0.270 (last = 0.0000), fitness=0.035763029
393.17 secs, 4445 evals, 4324 steps, improv/step: 0.270 (last = 0.1667), fitness=0.035763029
393.71 secs, 4451 evals, 4330 steps, improv/step: 0.270 (last = 0.1667), fitness=0.035763029
394.24 secs, 4457 evals, 4336 steps, improv/step: 0.270 (last = 0.1667), fitness=0.035763029
394.77 secs, 4463 evals, 4342 steps, improv/step: 0.269 (last = 0.1667), fitness=0.035763029
395.28 secs, 4469 evals, 4348 steps, improv/step: 0.269 (last = 0.1667), fitness=0.035763029
395.80 secs, 4475 evals, 4354 steps, improv/step: 0.269 (last = 0.0000), fitness=0.035763029
396.33 secs, 4481 evals, 4360 steps, improv/step: 0.269 (last = 0.1667), fitness=0.035763029
396.90 secs, 4487 evals, 4366 steps, improv/step: 0.268 (last = 0.0000), fitness=0.035763029
397.46 secs, 4493 evals, 4372 steps, improv/step: 0.268 (last = 0.1667), fitness=0.035763029
398.01 secs, 4499 evals, 4378 steps, improv/step: 0.268 (last = 0.1667), fitness=0.035763029
398.57 secs, 4505 evals, 4384 steps, improv/step: 0.268 (last = 0.5000), fitness=0.035763029
399.15 secs, 4511 evals, 4390 steps, improv/step: 0.268 (last = 0.0000), fitness=0.035763029
399.70 secs, 4517 evals, 4396 steps, improv/step: 0.268 (last = 0.1667), fitness=0.035763029
400.24 secs, 4523 evals, 4402 steps, improv/step: 0.268 (last = 0.3333), fitness=0.035763029
400.81 secs, 4529 evals, 4408 steps, improv/step: 0.268 (last = 0.0000), fitness=0.035763029
401.38 secs, 4535 evals, 4414 steps, improv/step: 0.268 (last = 0.1667), fitness=0.035763029
401.94 secs, 4541 evals, 4420 steps, improv/step: 0.267 (last = 0.1667), fitness=0.035763029
402.50 secs, 4547 evals, 4426 steps, improv/step: 0.267 (last = 0.0000), fitness=0.035763029
403.05 secs, 4553 evals, 4432 steps, improv/step: 0.267 (last = 0.5000), fitness=0.035763029
403.61 secs, 4559 evals, 4438 steps, improv/step: 0.267 (last = 0.1667), fitness=0.035763029
404.17 secs, 4565 evals, 4444 steps, improv/step: 0.267 (last = 0.0000), fitness=0.035763029
404.72 secs, 4571 evals, 4450 steps, improv/step: 0.267 (last = 0.3333), fitness=0.035763029
405.27 secs, 4577 evals, 4456 steps, improv/step: 0.267 (last = 0.0000), fitness=0.035763029
405.84 secs, 4583 evals, 4462 steps, improv/step: 0.267 (last = 0.3333), fitness=0.035763029
406.38 secs, 4589 evals, 4468 steps, improv/step: 0.266 (last = 0.0000), fitness=0.035763029
406.93 secs, 4595 evals, 4474 steps, improv/step: 0.266 (last = 0.3333), fitness=0.035763029
407.47 secs, 4601 evals, 4480 steps, improv/step: 0.267 (last = 0.3333), fitness=0.035763029
408.03 secs, 4607 evals, 4486 steps, improv/step: 0.266 (last = 0.1667), fitness=0.035763029
408.56 secs, 4613 evals, 4492 steps, improv/step: 0.266 (last = 0.0000), fitness=0.035763029
409.09 secs, 4619 evals, 4498 steps, improv/step: 0.266 (last = 0.3333), fitness=0.035763029
409.62 secs, 4625 evals, 4504 steps, improv/step: 0.266 (last = 0.1667), fitness=0.035763029
410.18 secs, 4631 evals, 4510 steps, improv/step: 0.266 (last = 0.0000), fitness=0.035763029
410.75 secs, 4637 evals, 4516 steps, improv/step: 0.266 (last = 0.1667), fitness=0.035763029
411.29 secs, 4643 evals, 4522 steps, improv/step: 0.265 (last = 0.0000), fitness=0.035763029
411.81 secs, 4649 evals, 4528 steps, improv/step: 0.265 (last = 0.0000), fitness=0.035763029
412.35 secs, 4655 evals, 4534 steps, improv/step: 0.264 (last = 0.0000), fitness=0.035763029
412.87 secs, 4661 evals, 4540 steps, improv/step: 0.265 (last = 0.3333), fitness=0.035763029
413.40 secs, 4667 evals, 4546 steps, improv/step: 0.264 (last = 0.0000), fitness=0.035763029
413.92 secs, 4673 evals, 4552 steps, improv/step: 0.264 (last = 0.0000), fitness=0.035763029
414.44 secs, 4679 evals, 4558 steps, improv/step: 0.264 (last = 0.1667), fitness=0.035763029
414.96 secs, 4685 evals, 4564 steps, improv/step: 0.264 (last = 0.3333), fitness=0.035763029
415.48 secs, 4691 evals, 4570 steps, improv/step: 0.263 (last = 0.0000), fitness=0.035763029
416.02 secs, 4697 evals, 4576 steps, improv/step: 0.263 (last = 0.1667), fitness=0.035763029
416.55 secs, 4703 evals, 4582 steps, improv/step: 0.263 (last = 0.0000), fitness=0.035763029
417.07 secs, 4709 evals, 4588 steps, improv/step: 0.263 (last = 0.1667), fitness=0.035763029
417.57 secs, 4715 evals, 4594 steps, improv/step: 0.263 (last = 0.1667), fitness=0.035763029
418.12 secs, 4721 evals, 4600 steps, improv/step: 0.262 (last = 0.0000), fitness=0.035763029
418.68 secs, 4727 evals, 4606 steps, improv/step: 0.262 (last = 0.1667), fitness=0.035763029
419.24 secs, 4733 evals, 4612 steps, improv/step: 0.262 (last = 0.0000), fitness=0.035763029
419.75 secs, 4739 evals, 4618 steps, improv/step: 0.262 (last = 0.0000), fitness=0.035763029
420.28 secs, 4746 evals, 4625 steps, improv/step: 0.261 (last = 0.1429), fitness=0.035763029
420.80 secs, 4752 evals, 4631 steps, improv/step: 0.261 (last = 0.0000), fitness=0.035763029
421.30 secs, 4758 evals, 4637 steps, improv/step: 0.261 (last = 0.0000), fitness=0.035763029
421.82 secs, 4764 evals, 4643 steps, improv/step: 0.260 (last = 0.0000), fitness=0.035763029
422.39 secs, 4770 evals, 4649 steps, improv/step: 0.260 (last = 0.0000), fitness=0.035763029
422.91 secs, 4776 evals, 4655 steps, improv/step: 0.260 (last = 0.0000), fitness=0.035763029
423.42 secs, 4782 evals, 4661 steps, improv/step: 0.260 (last = 0.1667), fitness=0.035763029
423.95 secs, 4788 evals, 4667 steps, improv/step: 0.259 (last = 0.1667), fitness=0.035763029
424.47 secs, 4794 evals, 4673 steps, improv/step: 0.259 (last = 0.1667), fitness=0.035763029
425.01 secs, 4802 evals, 4681 steps, improv/step: 0.259 (last = 0.0000), fitness=0.035763029
425.55 secs, 4810 evals, 4689 steps, improv/step: 0.259 (last = 0.1250), fitness=0.035763029
426.08 secs, 4817 evals, 4696 steps, improv/step: 0.259 (last = 0.1429), fitness=0.035763029
426.61 secs, 4823 evals, 4702 steps, improv/step: 0.258 (last = 0.1667), fitness=0.035763029
427.12 secs, 4829 evals, 4708 steps, improv/step: 0.258 (last = 0.1667), fitness=0.035763029
427.63 secs, 4835 evals, 4714 steps, improv/step: 0.258 (last = 0.0000), fitness=0.035763029
428.18 secs, 4842 evals, 4721 steps, improv/step: 0.258 (last = 0.1429), fitness=0.035763029
428.71 secs, 4849 evals, 4728 steps, improv/step: 0.257 (last = 0.0000), fitness=0.035763029
429.28 secs, 4856 evals, 4735 steps, improv/step: 0.257 (last = 0.1429), fitness=0.035763029
429.80 secs, 4862 evals, 4741 steps, improv/step: 0.257 (last = 0.0000), fitness=0.035763029
430.31 secs, 4868 evals, 4747 steps, improv/step: 0.257 (last = 0.0000), fitness=0.035763029
430.83 secs, 4874 evals, 4753 steps, improv/step: 0.256 (last = 0.0000), fitness=0.035763029
431.41 secs, 4881 evals, 4760 steps, improv/step: 0.256 (last = 0.0000), fitness=0.035763029
431.92 secs, 4887 evals, 4766 steps, improv/step: 0.256 (last = 0.0000), fitness=0.035763029
432.43 secs, 4893 evals, 4772 steps, improv/step: 0.255 (last = 0.0000), fitness=0.035763029
432.94 secs, 4899 evals, 4778 steps, improv/step: 0.255 (last = 0.0000), fitness=0.035763029
433.48 secs, 4905 evals, 4784 steps, improv/step: 0.255 (last = 0.0000), fitness=0.035763029
434.04 secs, 4911 evals, 4790 steps, improv/step: 0.254 (last = 0.0000), fitness=0.035763029
434.59 secs, 4917 evals, 4796 steps, improv/step: 0.254 (last = 0.1667), fitness=0.035763029
435.13 secs, 4923 evals, 4802 steps, improv/step: 0.254 (last = 0.0000), fitness=0.035763029
435.67 secs, 4929 evals, 4808 steps, improv/step: 0.254 (last = 0.0000), fitness=0.035763029
436.22 secs, 4935 evals, 4814 steps, improv/step: 0.253 (last = 0.0000), fitness=0.035763029
436.76 secs, 4941 evals, 4820 steps, improv/step: 0.253 (last = 0.0000), fitness=0.035763029
437.30 secs, 4947 evals, 4826 steps, improv/step: 0.253 (last = 0.0000), fitness=0.035763029
437.84 secs, 4953 evals, 4832 steps, improv/step: 0.252 (last = 0.1667), fitness=0.035763029
438.38 secs, 4959 evals, 4838 steps, improv/step: 0.252 (last = 0.0000), fitness=0.035763029
438.92 secs, 4965 evals, 4844 steps, improv/step: 0.252 (last = 0.0000), fitness=0.035763029
439.45 secs, 4971 evals, 4850 steps, improv/step: 0.252 (last = 0.1667), fitness=0.035763029
439.99 secs, 4977 evals, 4856 steps, improv/step: 0.252 (last = 0.1667), fitness=0.035763029
440.52 secs, 4983 evals, 4862 steps, improv/step: 0.252 (last = 0.1667), fitness=0.035763029
441.07 secs, 4989 evals, 4868 steps, improv/step: 0.251 (last = 0.1667), fitness=0.035763029
441.60 secs, 4995 evals, 4874 steps, improv/step: 0.251 (last = 0.1667), fitness=0.035763029
442.13 secs, 5001 evals, 4880 steps, improv/step: 0.251 (last = 0.0000), fitness=0.035763029
442.69 secs, 5007 evals, 4886 steps, improv/step: 0.251 (last = 0.1667), fitness=0.035763029
443.24 secs, 5013 evals, 4892 steps, improv/step: 0.251 (last = 0.0000), fitness=0.035763029
443.79 secs, 5019 evals, 4898 steps, improv/step: 0.250 (last = 0.0000), fitness=0.035763029
444.32 secs, 5025 evals, 4904 steps, improv/step: 0.250 (last = 0.0000), fitness=0.035763029
444.87 secs, 5031 evals, 4910 steps, improv/step: 0.250 (last = 0.0000), fitness=0.035763029
445.42 secs, 5037 evals, 4916 steps, improv/step: 0.249 (last = 0.0000), fitness=0.035763029
445.96 secs, 5043 evals, 4922 steps, improv/step: 0.249 (last = 0.1667), fitness=0.035763029
446.48 secs, 5049 evals, 4928 steps, improv/step: 0.249 (last = 0.0000), fitness=0.035763029
447.00 secs, 5055 evals, 4934 steps, improv/step: 0.249 (last = 0.1667), fitness=0.035763028
447.52 secs, 5061 evals, 4940 steps, improv/step: 0.249 (last = 0.0000), fitness=0.035763028
448.03 secs, 5067 evals, 4946 steps, improv/step: 0.248 (last = 0.1667), fitness=0.035763028
448.55 secs, 5073 evals, 4952 steps, improv/step: 0.248 (last = 0.0000), fitness=0.035763028
449.07 secs, 5079 evals, 4958 steps, improv/step: 0.248 (last = 0.0000), fitness=0.035763028
449.59 secs, 5085 evals, 4964 steps, improv/step: 0.248 (last = 0.0000), fitness=0.035763028
450.11 secs, 5091 evals, 4970 steps, improv/step: 0.247 (last = 0.0000), fitness=0.035763028
450.63 secs, 5097 evals, 4976 steps, improv/step: 0.247 (last = 0.0000), fitness=0.035763028
451.16 secs, 5103 evals, 4982 steps, improv/step: 0.247 (last = 0.0000), fitness=0.035763028
451.68 secs, 5109 evals, 4988 steps, improv/step: 0.246 (last = 0.0000), fitness=0.035763028
452.20 secs, 5115 evals, 4994 steps, improv/step: 0.246 (last = 0.0000), fitness=0.035763028
452.72 secs, 5121 evals, 5000 steps, improv/step: 0.246 (last = 0.0000), fitness=0.035763028
453.23 secs, 5127 evals, 5006 steps, improv/step: 0.246 (last = 0.3333), fitness=0.035763028
453.74 secs, 5133 evals, 5012 steps, improv/step: 0.246 (last = 0.0000), fitness=0.035763028
454.32 secs, 5140 evals, 5019 steps, improv/step: 0.245 (last = 0.0000), fitness=0.035763028
454.82 secs, 5146 evals, 5025 steps, improv/step: 0.245 (last = 0.0000), fitness=0.035763028
455.34 secs, 5152 evals, 5031 steps, improv/step: 0.245 (last = 0.0000), fitness=0.035763028
455.84 secs, 5158 evals, 5037 steps, improv/step: 0.244 (last = 0.0000), fitness=0.035763028
456.36 secs, 5164 evals, 5043 steps, improv/step: 0.244 (last = 0.0000), fitness=0.035763028
456.87 secs, 5170 evals, 5049 steps, improv/step: 0.244 (last = 0.0000), fitness=0.035763028
457.39 secs, 5176 evals, 5055 steps, improv/step: 0.244 (last = 0.0000), fitness=0.035763028
457.91 secs, 5182 evals, 5061 steps, improv/step: 0.243 (last = 0.1667), fitness=0.035763028
458.42 secs, 5188 evals, 5067 steps, improv/step: 0.243 (last = 0.0000), fitness=0.035763028
458.95 secs, 5194 evals, 5073 steps, improv/step: 0.243 (last = 0.0000), fitness=0.035763028
459.50 secs, 5200 evals, 5079 steps, improv/step: 0.243 (last = 0.3333), fitness=0.035763028
460.02 secs, 5206 evals, 5085 steps, improv/step: 0.243 (last = 0.0000), fitness=0.035763028
460.55 secs, 5212 evals, 5091 steps, improv/step: 0.243 (last = 0.1667), fitness=0.035763028
461.08 secs, 5218 evals, 5097 steps, improv/step: 0.242 (last = 0.0000), fitness=0.035763028
461.61 secs, 5224 evals, 5103 steps, improv/step: 0.242 (last = 0.1667), fitness=0.035763028
462.12 secs, 5230 evals, 5109 steps, improv/step: 0.242 (last = 0.0000), fitness=0.035763028
462.65 secs, 5236 evals, 5115 steps, improv/step: 0.242 (last = 0.0000), fitness=0.035763028
463.18 secs, 5242 evals, 5121 steps, improv/step: 0.242 (last = 0.1667), fitness=0.035763028
463.72 secs, 5248 evals, 5127 steps, improv/step: 0.241 (last = 0.0000), fitness=0.035763028
464.25 secs, 5254 evals, 5133 steps, improv/step: 0.241 (last = 0.0000), fitness=0.035763028
464.77 secs, 5260 evals, 5139 steps, improv/step: 0.241 (last = 0.0000), fitness=0.035763028
465.29 secs, 5266 evals, 5145 steps, improv/step: 0.241 (last = 0.1667), fitness=0.035763028
465.83 secs, 5272 evals, 5151 steps, improv/step: 0.240 (last = 0.0000), fitness=0.035763028
466.36 secs, 5278 evals, 5157 steps, improv/step: 0.240 (last = 0.0000), fitness=0.035763028
466.90 secs, 5284 evals, 5163 steps, improv/step: 0.240 (last = 0.1667), fitness=0.035763028
467.42 secs, 5290 evals, 5169 steps, improv/step: 0.240 (last = 0.0000), fitness=0.035763028
467.96 secs, 5296 evals, 5175 steps, improv/step: 0.239 (last = 0.0000), fitness=0.035763028
468.48 secs, 5302 evals, 5181 steps, improv/step: 0.239 (last = 0.1667), fitness=0.035763028
469.02 secs, 5308 evals, 5187 steps, improv/step: 0.239 (last = 0.0000), fitness=0.035763028
469.56 secs, 5314 evals, 5193 steps, improv/step: 0.239 (last = 0.0000), fitness=0.035763028
470.13 secs, 5320 evals, 5199 steps, improv/step: 0.239 (last = 0.1667), fitness=0.035763028
470.67 secs, 5326 evals, 5205 steps, improv/step: 0.239 (last = 0.1667), fitness=0.035763028
471.21 secs, 5332 evals, 5211 steps, improv/step: 0.238 (last = 0.0000), fitness=0.035763028
471.75 secs, 5338 evals, 5217 steps, improv/step: 0.238 (last = 0.1667), fitness=0.035763028
472.29 secs, 5344 evals, 5223 steps, improv/step: 0.238 (last = 0.1667), fitness=0.035763028
472.83 secs, 5350 evals, 5229 steps, improv/step: 0.238 (last = 0.0000), fitness=0.035763028
473.36 secs, 5356 evals, 5235 steps, improv/step: 0.238 (last = 0.1667), fitness=0.035763028
473.89 secs, 5362 evals, 5241 steps, improv/step: 0.238 (last = 0.1667), fitness=0.035763028
474.43 secs, 5368 evals, 5247 steps, improv/step: 0.238 (last = 0.1667), fitness=0.035763028
474.97 secs, 5374 evals, 5253 steps, improv/step: 0.237 (last = 0.0000), fitness=0.035763028
475.50 secs, 5380 evals, 5259 steps, improv/step: 0.237 (last = 0.0000), fitness=0.035763028
476.04 secs, 5386 evals, 5265 steps, improv/step: 0.237 (last = 0.0000), fitness=0.035763028
476.58 secs, 5392 evals, 5271 steps, improv/step: 0.237 (last = 0.0000), fitness=0.035763028
477.12 secs, 5398 evals, 5277 steps, improv/step: 0.236 (last = 0.0000), fitness=0.035763028
477.66 secs, 5404 evals, 5283 steps, improv/step: 0.236 (last = 0.0000), fitness=0.035763028
478.18 secs, 5410 evals, 5289 steps, improv/step: 0.236 (last = 0.1667), fitness=0.035763028
478.70 secs, 5416 evals, 5295 steps, improv/step: 0.236 (last = 0.1667), fitness=0.035763028
479.23 secs, 5422 evals, 5301 steps, improv/step: 0.236 (last = 0.0000), fitness=0.035763028
479.78 secs, 5428 evals, 5307 steps, improv/step: 0.236 (last = 0.3333), fitness=0.035763028
480.30 secs, 5434 evals, 5313 steps, improv/step: 0.236 (last = 0.1667), fitness=0.035763028
480.86 secs, 5440 evals, 5319 steps, improv/step: 0.235 (last = 0.0000), fitness=0.035763028
481.37 secs, 5446 evals, 5325 steps, improv/step: 0.235 (last = 0.1667), fitness=0.035763028
481.91 secs, 5452 evals, 5331 steps, improv/step: 0.235 (last = 0.0000), fitness=0.035763028
482.44 secs, 5458 evals, 5337 steps, improv/step: 0.235 (last = 0.0000), fitness=0.035763028
482.97 secs, 5464 evals, 5343 steps, improv/step: 0.235 (last = 0.1667), fitness=0.035763028
483.51 secs, 5470 evals, 5349 steps, improv/step: 0.234 (last = 0.0000), fitness=0.035763028
484.04 secs, 5476 evals, 5355 steps, improv/step: 0.234 (last = 0.1667), fitness=0.035763028
484.55 secs, 5482 evals, 5361 steps, improv/step: 0.234 (last = 0.0000), fitness=0.035763028
485.06 secs, 5488 evals, 5367 steps, improv/step: 0.234 (last = 0.0000), fitness=0.035763028
485.57 secs, 5494 evals, 5373 steps, improv/step: 0.234 (last = 0.1667), fitness=0.035763028
486.14 secs, 5501 evals, 5380 steps, improv/step: 0.233 (last = 0.0000), fitness=0.035763028
486.65 secs, 5507 evals, 5386 steps, improv/step: 0.233 (last = 0.0000), fitness=0.035763028
487.16 secs, 5513 evals, 5392 steps, improv/step: 0.233 (last = 0.1667), fitness=0.035763028
487.67 secs, 5519 evals, 5398 steps, improv/step: 0.233 (last = 0.0000), fitness=0.035763028
488.25 secs, 5526 evals, 5405 steps, improv/step: 0.233 (last = 0.0000), fitness=0.035763028
488.77 secs, 5532 evals, 5411 steps, improv/step: 0.232 (last = 0.0000), fitness=0.035763028
489.29 secs, 5538 evals, 5417 steps, improv/step: 0.232 (last = 0.0000), fitness=0.035763028
489.80 secs, 5544 evals, 5423 steps, improv/step: 0.232 (last = 0.0000), fitness=0.035763028
490.30 secs, 5550 evals, 5429 steps, improv/step: 0.232 (last = 0.0000), fitness=0.035763028
490.82 secs, 5556 evals, 5435 steps, improv/step: 0.231 (last = 0.0000), fitness=0.035763028
491.39 secs, 5563 evals, 5442 steps, improv/step: 0.231 (last = 0.0000), fitness=0.035763028
491.96 secs, 5570 evals, 5449 steps, improv/step: 0.231 (last = 0.0000), fitness=0.035763028
492.53 secs, 5577 evals, 5456 steps, improv/step: 0.230 (last = 0.0000), fitness=0.035763028
493.04 secs, 5583 evals, 5462 steps, improv/step: 0.230 (last = 0.0000), fitness=0.035763028
493.55 secs, 5589 evals, 5468 steps, improv/step: 0.230 (last = 0.0000), fitness=0.035763028
494.11 secs, 5596 evals, 5475 steps, improv/step: 0.230 (last = 0.0000), fitness=0.035763028
494.66 secs, 5603 evals, 5482 steps, improv/step: 0.229 (last = 0.0000), fitness=0.035763028
495.18 secs, 5609 evals, 5488 steps, improv/step: 0.229 (last = 0.0000), fitness=0.035763028
495.70 secs, 5615 evals, 5494 steps, improv/step: 0.229 (last = 0.0000), fitness=0.035763028
496.22 secs, 5621 evals, 5500 steps, improv/step: 0.229 (last = 0.0000), fitness=0.035763028
496.77 secs, 5627 evals, 5506 steps, improv/step: 0.228 (last = 0.0000), fitness=0.035763028
497.30 secs, 5633 evals, 5512 steps, improv/step: 0.228 (last = 0.0000), fitness=0.035763028
497.83 secs, 5639 evals, 5518 steps, improv/step: 0.228 (last = 0.0000), fitness=0.035763028
498.41 secs, 5646 evals, 5525 steps, improv/step: 0.228 (last = 0.1429), fitness=0.035763028
498.92 secs, 5652 evals, 5531 steps, improv/step: 0.228 (last = 0.1667), fitness=0.035763028
499.46 secs, 5658 evals, 5537 steps, improv/step: 0.228 (last = 0.1667), fitness=0.035763028
499.97 secs, 5664 evals, 5543 steps, improv/step: 0.227 (last = 0.0000), fitness=0.035763028
500.50 secs, 5670 evals, 5549 steps, improv/step: 0.227 (last = 0.3333), fitness=0.035763028
501.04 secs, 5676 evals, 5555 steps, improv/step: 0.227 (last = 0.0000), fitness=0.035763028
501.59 secs, 5682 evals, 5561 steps, improv/step: 0.227 (last = 0.0000), fitness=0.035763028
502.13 secs, 5688 evals, 5567 steps, improv/step: 0.227 (last = 0.0000), fitness=0.035763028
502.66 secs, 5694 evals, 5573 steps, improv/step: 0.226 (last = 0.0000), fitness=0.035763028
503.17 secs, 5700 evals, 5579 steps, improv/step: 0.226 (last = 0.0000), fitness=0.035763028
503.68 secs, 5706 evals, 5585 steps, improv/step: 0.226 (last = 0.0000), fitness=0.035763028
504.26 secs, 5713 evals, 5592 steps, improv/step: 0.226 (last = 0.1429), fitness=0.035763028
504.83 secs, 5720 evals, 5599 steps, improv/step: 0.226 (last = 0.0000), fitness=0.035763028
505.37 secs, 5727 evals, 5606 steps, improv/step: 0.225 (last = 0.1429), fitness=0.035763028
505.88 secs, 5733 evals, 5612 steps, improv/step: 0.225 (last = 0.0000), fitness=0.035763028
506.41 secs, 5739 evals, 5618 steps, improv/step: 0.225 (last = 0.0000), fitness=0.035763028
506.93 secs, 5745 evals, 5624 steps, improv/step: 0.225 (last = 0.0000), fitness=0.035763028
507.49 secs, 5752 evals, 5631 steps, improv/step: 0.224 (last = 0.0000), fitness=0.035763028
508.07 secs, 5759 evals, 5638 steps, improv/step: 0.224 (last = 0.0000), fitness=0.035763028
508.59 secs, 5765 evals, 5644 steps, improv/step: 0.224 (last = 0.0000), fitness=0.035763028
509.11 secs, 5771 evals, 5650 steps, improv/step: 0.224 (last = 0.0000), fitness=0.035763028
509.67 secs, 5777 evals, 5656 steps, improv/step: 0.223 (last = 0.0000), fitness=0.035763028
510.18 secs, 5783 evals, 5662 steps, improv/step: 0.223 (last = 0.0000), fitness=0.035763028
510.75 secs, 5790 evals, 5669 steps, improv/step: 0.223 (last = 0.0000), fitness=0.035763028
511.29 secs, 5796 evals, 5675 steps, improv/step: 0.223 (last = 0.0000), fitness=0.035763028
511.86 secs, 5803 evals, 5682 steps, improv/step: 0.223 (last = 0.1429), fitness=0.035763028
512.36 secs, 5809 evals, 5688 steps, improv/step: 0.222 (last = 0.0000), fitness=0.035763028
512.88 secs, 5815 evals, 5694 steps, improv/step: 0.222 (last = 0.0000), fitness=0.035763028
513.40 secs, 5821 evals, 5700 steps, improv/step: 0.222 (last = 0.0000), fitness=0.035763028
513.98 secs, 5828 evals, 5707 steps, improv/step: 0.222 (last = 0.0000), fitness=0.035763028
514.51 secs, 5834 evals, 5713 steps, improv/step: 0.221 (last = 0.0000), fitness=0.035763028
515.08 secs, 5841 evals, 5720 steps, improv/step: 0.221 (last = 0.0000), fitness=0.035763028
515.66 secs, 5848 evals, 5727 steps, improv/step: 0.221 (last = 0.0000), fitness=0.035763028
516.24 secs, 5855 evals, 5734 steps, improv/step: 0.221 (last = 0.1429), fitness=0.035763028
516.74 secs, 5861 evals, 5740 steps, improv/step: 0.221 (last = 0.0000), fitness=0.035763028
517.27 secs, 5867 evals, 5746 steps, improv/step: 0.220 (last = 0.0000), fitness=0.035763028
517.79 secs, 5873 evals, 5752 steps, improv/step: 0.220 (last = 0.0000), fitness=0.035763028
518.34 secs, 5880 evals, 5759 steps, improv/step: 0.220 (last = 0.1429), fitness=0.035763028
518.90 secs, 5887 evals, 5766 steps, improv/step: 0.220 (last = 0.0000), fitness=0.035763028
519.43 secs, 5893 evals, 5772 steps, improv/step: 0.220 (last = 0.0000), fitness=0.035763028
519.98 secs, 5899 evals, 5778 steps, improv/step: 0.219 (last = 0.0000), fitness=0.035763028
520.54 secs, 5905 evals, 5784 steps, improv/step: 0.219 (last = 0.0000), fitness=0.035763028
521.10 secs, 5911 evals, 5790 steps, improv/step: 0.219 (last = 0.0000), fitness=0.035763028
521.69 secs, 5917 evals, 5796 steps, improv/step: 0.219 (last = 0.0000), fitness=0.035763028
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523.26 secs, 5935 evals, 5814 steps, improv/step: 0.218 (last = 0.0000), fitness=0.035763028
523.78 secs, 5941 evals, 5820 steps, improv/step: 0.218 (last = 0.1667), fitness=0.035763028
524.31 secs, 5947 evals, 5826 steps, improv/step: 0.218 (last = 0.3333), fitness=0.035763028
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527.45 secs, 5983 evals, 5862 steps, improv/step: 0.217 (last = 0.1667), fitness=0.035763028
528.03 secs, 5990 evals, 5869 steps, improv/step: 0.217 (last = 0.0000), fitness=0.035763028
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529.12 secs, 6003 evals, 5882 steps, improv/step: 0.216 (last = 0.0000), fitness=0.035763028
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530.69 secs, 6021 evals, 5900 steps, improv/step: 0.215 (last = 0.0000), fitness=0.035763028
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536.21 secs, 6083 evals, 5962 steps, improv/step: 0.213 (last = 0.0000), fitness=0.035763028
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538.95 secs, 6113 evals, 5992 steps, improv/step: 0.212 (last = 0.1667), fitness=0.035763028
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543.18 secs, 6161 evals, 6040 steps, improv/step: 0.211 (last = 0.0000), fitness=0.035763028
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548.02 secs, 6215 evals, 6094 steps, improv/step: 0.209 (last = 0.0000), fitness=0.035763028
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555.65 secs, 6300 evals, 6179 steps, improv/step: 0.207 (last = 0.1667), fitness=0.035763028
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558.29 secs, 6331 evals, 6210 steps, improv/step: 0.206 (last = 0.0000), fitness=0.035763028
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560.90 secs, 6362 evals, 6241 steps, improv/step: 0.205 (last = 0.0000), fitness=0.035763028
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564.13 secs, 6400 evals, 6279 steps, improv/step: 0.205 (last = 0.0000), fitness=0.035763028
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570.81 secs, 6472 evals, 6351 steps, improv/step: 0.202 (last = 0.0000), fitness=0.035763028
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572.48 secs, 6490 evals, 6369 steps, improv/step: 0.202 (last = 0.1667), fitness=0.035763028
573.01 secs, 6496 evals, 6375 steps, improv/step: 0.202 (last = 0.0000), fitness=0.035763028
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574.08 secs, 6508 evals, 6387 steps, improv/step: 0.202 (last = 0.0000), fitness=0.035763028
574.63 secs, 6514 evals, 6393 steps, improv/step: 0.201 (last = 0.0000), fitness=0.035763028
575.19 secs, 6520 evals, 6399 steps, improv/step: 0.201 (last = 0.0000), fitness=0.035763028
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576.28 secs, 6532 evals, 6411 steps, improv/step: 0.201 (last = 0.0000), fitness=0.035763028
576.86 secs, 6538 evals, 6417 steps, improv/step: 0.201 (last = 0.0000), fitness=0.035763028
577.42 secs, 6544 evals, 6423 steps, improv/step: 0.201 (last = 0.0000), fitness=0.035763028
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578.57 secs, 6556 evals, 6435 steps, improv/step: 0.200 (last = 0.0000), fitness=0.035763028
579.15 secs, 6562 evals, 6441 steps, improv/step: 0.200 (last = 0.1667), fitness=0.035763028
579.71 secs, 6568 evals, 6447 steps, improv/step: 0.200 (last = 0.0000), fitness=0.035763028
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580.85 secs, 6580 evals, 6459 steps, improv/step: 0.200 (last = 0.0000), fitness=0.035763028
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581.98 secs, 6592 evals, 6471 steps, improv/step: 0.199 (last = 0.0000), fitness=0.035763028
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584.23 secs, 6616 evals, 6495 steps, improv/step: 0.198 (last = 0.0000), fitness=0.035763028
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585.35 secs, 6628 evals, 6508 steps, improv/step: 0.198 (last = 0.0000), fitness=0.035763028
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588.73 secs, 6664 evals, 6544 steps, improv/step: 0.197 (last = 0.0000), fitness=0.035763028
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589.82 secs, 6676 evals, 6556 steps, improv/step: 0.197 (last = 0.0000), fitness=0.035763028
590.39 secs, 6682 evals, 6562 steps, improv/step: 0.197 (last = 0.0000), fitness=0.035763028
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591.51 secs, 6694 evals, 6574 steps, improv/step: 0.197 (last = 0.0000), fitness=0.035763028
592.08 secs, 6700 evals, 6580 steps, improv/step: 0.196 (last = 0.0000), fitness=0.035763028
592.65 secs, 6706 evals, 6586 steps, improv/step: 0.196 (last = 0.0000), fitness=0.035763028
593.21 secs, 6712 evals, 6592 steps, improv/step: 0.196 (last = 0.0000), fitness=0.035763028
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594.34 secs, 6724 evals, 6604 steps, improv/step: 0.196 (last = 0.3333), fitness=0.035763028
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595.45 secs, 6736 evals, 6616 steps, improv/step: 0.196 (last = 0.0000), fitness=0.035763028
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596.57 secs, 6748 evals, 6628 steps, improv/step: 0.196 (last = 0.1667), fitness=0.035763028
597.13 secs, 6754 evals, 6634 steps, improv/step: 0.195 (last = 0.0000), fitness=0.035763028
597.69 secs, 6760 evals, 6640 steps, improv/step: 0.195 (last = 0.0000), fitness=0.035763028
598.26 secs, 6766 evals, 6646 steps, improv/step: 0.195 (last = 0.0000), fitness=0.035763028
598.81 secs, 6772 evals, 6652 steps, improv/step: 0.195 (last = 0.0000), fitness=0.035763028
599.38 secs, 6778 evals, 6658 steps, improv/step: 0.195 (last = 0.0000), fitness=0.035763028
599.94 secs, 6784 evals, 6664 steps, improv/step: 0.194 (last = 0.0000), fitness=0.035763028
600.49 secs, 6790 evals, 6670 steps, improv/step: 0.194 (last = 0.1667), fitness=0.035763028
601.06 secs, 6796 evals, 6676 steps, improv/step: 0.194 (last = 0.0000), fitness=0.035763028
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602.19 secs, 6808 evals, 6688 steps, improv/step: 0.194 (last = 0.1667), fitness=0.035763028
602.75 secs, 6814 evals, 6694 steps, improv/step: 0.194 (last = 0.1667), fitness=0.035763028
603.31 secs, 6820 evals, 6700 steps, improv/step: 0.194 (last = 0.1667), fitness=0.035763028
603.89 secs, 6826 evals, 6706 steps, improv/step: 0.194 (last = 0.0000), fitness=0.035763028
604.44 secs, 6832 evals, 6712 steps, improv/step: 0.194 (last = 0.0000), fitness=0.035763028
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606.70 secs, 6856 evals, 6736 steps, improv/step: 0.194 (last = 0.0000), fitness=0.035763028
607.24 secs, 6862 evals, 6742 steps, improv/step: 0.194 (last = 0.1667), fitness=0.035763028
607.80 secs, 6868 evals, 6748 steps, improv/step: 0.194 (last = 0.1667), fitness=0.035763028
608.37 secs, 6874 evals, 6754 steps, improv/step: 0.194 (last = 0.1667), fitness=0.035763028
608.94 secs, 6880 evals, 6760 steps, improv/step: 0.193 (last = 0.0000), fitness=0.035763028
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611.18 secs, 6904 evals, 6784 steps, improv/step: 0.193 (last = 0.1667), fitness=0.035763028
611.75 secs, 6910 evals, 6790 steps, improv/step: 0.193 (last = 0.0000), fitness=0.035763028
612.30 secs, 6916 evals, 6796 steps, improv/step: 0.193 (last = 0.1667), fitness=0.035763028
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613.45 secs, 6928 evals, 6808 steps, improv/step: 0.192 (last = 0.0000), fitness=0.035763028
614.02 secs, 6934 evals, 6814 steps, improv/step: 0.192 (last = 0.1667), fitness=0.035763028
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616.79 secs, 6964 evals, 6844 steps, improv/step: 0.191 (last = 0.0000), fitness=0.035763028
617.36 secs, 6970 evals, 6850 steps, improv/step: 0.191 (last = 0.0000), fitness=0.035763028
617.92 secs, 6976 evals, 6856 steps, improv/step: 0.191 (last = 0.0000), fitness=0.035763028
618.49 secs, 6982 evals, 6862 steps, improv/step: 0.191 (last = 0.1667), fitness=0.035763028
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620.20 secs, 7000 evals, 6881 steps, improv/step: 0.191 (last = 0.1667), fitness=0.035763028
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622.45 secs, 7024 evals, 6905 steps, improv/step: 0.190 (last = 0.0000), fitness=0.035763028
622.99 secs, 7030 evals, 6911 steps, improv/step: 0.190 (last = 0.0000), fitness=0.035763028
623.53 secs, 7036 evals, 6917 steps, improv/step: 0.190 (last = 0.0000), fitness=0.035763028
624.09 secs, 7042 evals, 6923 steps, improv/step: 0.190 (last = 0.0000), fitness=0.035763028
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625.19 secs, 7054 evals, 6935 steps, improv/step: 0.189 (last = 0.0000), fitness=0.035763028
625.74 secs, 7060 evals, 6941 steps, improv/step: 0.189 (last = 0.0000), fitness=0.035763028
626.29 secs, 7066 evals, 6947 steps, improv/step: 0.189 (last = 0.0000), fitness=0.035763028
626.84 secs, 7072 evals, 6953 steps, improv/step: 0.189 (last = 0.0000), fitness=0.035763028
627.36 secs, 7079 evals, 6960 steps, improv/step: 0.189 (last = 0.0000), fitness=0.035763028
627.89 secs, 7085 evals, 6966 steps, improv/step: 0.188 (last = 0.0000), fitness=0.035763028
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628.98 secs, 7097 evals, 6978 steps, improv/step: 0.188 (last = 0.0000), fitness=0.035763028
629.54 secs, 7103 evals, 6984 steps, improv/step: 0.188 (last = 0.0000), fitness=0.035763028
630.12 secs, 7109 evals, 6990 steps, improv/step: 0.188 (last = 0.1667), fitness=0.035763028
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738.30 secs, 8322 evals, 8204 steps, improv/step: 0.171 (last = 0.0000), fitness=0.035763028
738.81 secs, 8328 evals, 8210 steps, improv/step: 0.171 (last = 0.1667), fitness=0.035763028
739.37 secs, 8335 evals, 8217 steps, improv/step: 0.171 (last = 0.1429), fitness=0.035763028
739.94 secs, 8342 evals, 8224 steps, improv/step: 0.171 (last = 0.1429), fitness=0.035763028
740.51 secs, 8349 evals, 8231 steps, improv/step: 0.171 (last = 0.1429), fitness=0.035763028
741.07 secs, 8356 evals, 8238 steps, improv/step: 0.171 (last = 0.1429), fitness=0.035763028
741.62 secs, 8363 evals, 8245 steps, improv/step: 0.171 (last = 0.4286), fitness=0.035763028
742.19 secs, 8370 evals, 8252 steps, improv/step: 0.171 (last = 0.0000), fitness=0.035763028
742.75 secs, 8377 evals, 8259 steps, improv/step: 0.171 (last = 0.0000), fitness=0.035763028
743.33 secs, 8384 evals, 8266 steps, improv/step: 0.171 (last = 0.2857), fitness=0.035763028
743.87 secs, 8391 evals, 8273 steps, improv/step: 0.171 (last = 0.0000), fitness=0.035763028

======================================================================================
Information request received. A stacktrace will print followed by a 1.0 second profile.
--trace-compile is enabled during profile collection.
======================================================================================

cmd: /opt/julia/bin/julia 114 running 1 of 1

signal (10): User defined signal 1
symtab_lookup at /source/src/symbol.c:60
_jl_symbol at /source/src/symbol.c:89 [inlined]
ijl_symbol at /source/src/symbol.c:106
ijl_lookup_code_address at /source/src/stackwalk.c:625
lookup at ./stacktraces.jl:110
firstcaller at ./deprecated.jl:295 [inlined]
firstcaller at ./deprecated.jl:290 [inlined]
macro expansion at ./deprecated.jl:270 [inlined]
macro expansion at ./logging/logging.jl:401 [inlined]
_depwarn at ./deprecated.jl:265
jfptr__depwarn_73825.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
jl_apply at /source/src/julia.h:2275 [inlined]
jl_f_invoke_in_world at /source/src/builtins.c:908
#invokelatest_gr#224 at ./reflection.jl:1333 [inlined]
invokelatest_gr at ./reflection.jl:1327 [inlined]
#depwarn#958 at ./deprecated.jl:256 [inlined]
depwarn at ./deprecated.jl:251 [inlined]
getindex at ./deprecated.jl:214
L2Loss at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/src/cost_functions.jl:103
#37 at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/src/build_loss_objective.jl:18 [inlined]
#37 at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/src/build_loss_objective.jl:10 [inlined]
OptimizationFunction at /home/pkgeval/.julia/packages/SciMLBase/YE7xF/src/scimlfunctions.jl:4258 [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 [inlined]
#update_fitness!#45 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!#47 at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/evaluator.jl:45
update_fitness! at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/evaluator.jl:41 [inlined]
#update_fitness!#48 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 [inlined]
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: 0x7f2f1ddc2e72) at (unknown file)
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
run! at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/opt_controller.jl:470
unknown function (ip: 0x7f2f1ddbfe22) at (unknown file)
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
#bboptimize#115 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: 0x7f2f1dda10a8) at (unknown file)
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
jl_apply at /source/src/julia.h:2275 [inlined]
do_call at /source/src/interpreter.c:123
eval_value at /source/src/interpreter.c:243
eval_stmt_value at /source/src/interpreter.c:194 [inlined]
eval_body at /source/src/interpreter.c:679
jl_interpret_toplevel_thunk at /source/src/interpreter.c:884
jl_toplevel_eval_flex at /source/src/toplevel.c:742
jl_eval_toplevel_stmts at /source/src/toplevel.c:585
jl_toplevel_eval_flex at /source/src/toplevel.c:683
ijl_toplevel_eval at /source/src/toplevel.c:754
ijl_toplevel_eval_in at /source/src/toplevel.c:799
eval at ./boot.jl:489
include_string at ./loading.jl:2954
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
_include at ./loading.jl:3014
include at ./Base.jl:310
IncludeInto at ./Base.jl:311
unknown function (ip: 0x7f2f1dd14e02) at (unknown file)
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
macro expansion at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/test/runtests.jl:5 [inlined]
macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1954 [inlined]
macro expansion at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/test/runtests.jl:4 [inlined]
macro expansion at ./timing.jl:689 [inlined]
top-level scope at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/test/runtests.jl:353
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_invoke at /source/src/gf.c:4123
jl_toplevel_eval_flex at /source/src/toplevel.c:731
jl_eval_toplevel_stmts at /source/src/toplevel.c:585
jl_toplevel_eval_flex at /source/src/toplevel.c:683
ijl_toplevel_eval at /source/src/toplevel.c:754
ijl_toplevel_eval_in at /source/src/toplevel.c:799
eval at ./boot.jl:489
include_string at ./loading.jl:2954
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
_include at ./loading.jl:3014
include at ./Base.jl:310
IncludeInto at ./Base.jl:311
jfptr_IncludeInto_63216.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
jl_apply at /source/src/julia.h:2275 [inlined]
do_call at /source/src/interpreter.c:123
eval_value at /source/src/interpreter.c:243
eval_stmt_value at /source/src/interpreter.c:194 [inlined]
eval_body at /source/src/interpreter.c:679
jl_interpret_toplevel_thunk at /source/src/interpreter.c:884
jl_toplevel_eval_flex at /source/src/toplevel.c:742
jl_eval_toplevel_stmts at /source/src/toplevel.c:585
jl_toplevel_eval_flex at /source/src/toplevel.c:683
ijl_toplevel_eval at /source/src/toplevel.c:754
ijl_toplevel_eval_in at /source/src/toplevel.c:799
eval at ./boot.jl:489
exec_options at ./client.jl:310
_start at ./client.jl:577
jfptr__start_57501.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
jl_apply at /source/src/julia.h:2275 [inlined]
true_main at /source/src/jlapi.c:971
jl_repl_entrypoint at /source/src/jlapi.c:1138
main at /source/cli/loader_exe.c:58
unknown function (ip: 0x7f2f3394a249) at /lib/x86_64-linux-gnu/libc.so.6
__libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S
unknown function (ip: (nil)) at (unknown file)

744.47 secs, 8398 evals, 8280 steps, improv/step: 0.170 (last = 0.0000), fitness=0.035763028

==============================================================
Profile collected. A report will print at the next yield point.
Disabling --trace-compile
==============================================================

745.84 secs, 8402 evals, 8284 steps, improv/step: 0.170 (last = 0.2500)
======================================================================================
Information request received. A stacktrace will print followed by a 1.0 second profile.
--trace-compile is enabled during profile collection.
======================================================================================

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:457
, fitness=wait at ./task.jl:1217
wait_forever at ./task.jl:1139
jfptr_wait_forever_70160.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
jl_apply at /source/src/julia.h:2275 [inlined]
start_task at /source/src/task.c:1281
unknown function (ip: (nil)) at (unknown file)

0.035763028
==============================================================
Profile collected. A report will print at the next yield point.
Disabling --trace-compile
==============================================================

┌ 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/v1.13/Profile/src/Profile.jl:1362
Overhead ╎ [+additional indent] Count File:Line  Function
=========================================================
Thread 1 (default) Task 0x000072f2f3ee7580 Total snapshots: 469. Utilization: 0%
   ╎469 @Base/task.jl:1139  wait_forever()
468╎ 469 @Base/task.jl:1217  wait()

┌ 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/v1.13/Profile/src/Profile.jl:1362

Overhead ╎ [+additional indent] Count File:Line  Function
=========================================================
Thread 1 (default) Task 0x00007f2f197fc010 Total snapshots: 304. Utilization: 100%
   ╎304 @Base/client.jl:577  _start()
   ╎ 304 @Base/client.jl:310  exec_options(opts::Base.JLOptions)
   ╎  304 @Base/boot.jl:489  eval(m::Module, e::Any)
   ╎   304 @Base/Base.jl:311  (::Base.IncludeInto)(fname::String)
   ╎    304 @Base/Base.jl:310  include(mapexpr::Function, mod::Module, _path::S…
   ╎     304 @Base/loading.jl:3014  _include(mapexpr::Function, mod::Module, _p…
   ╎    ╎ 304 @Base/loading.jl:2954  include_string(mapexpr::typeof(identity), …
   ╎    ╎  304 @Base/boot.jl:489  eval(m::Module, e::Any)
   ╎    ╎   304 @DiffEqParamEstim/…l:353  top-level scope
   ╎    ╎    304 @Base/timing.jl:689  macro expansion
   ╎    ╎     304 @DiffEqParamEstim/…l:4  macro expansion
   ╎    ╎    ╎ 304 @Test/src/Test.jl:1954  macro expansion
   ╎    ╎    ╎  304 @DiffEqParamEstim/…:5  macro expansion
   ╎    ╎    ╎   304 @Base/Base.jl:311  (::Base.IncludeInto)(fname::String)
   ╎    ╎    ╎    304 @Base/Base.jl:310  include(mapexpr::Function, mod::Module…
   ╎    ╎    ╎     304 @Base/loading.jl:3014  _include(mapexpr::Function, mod::…
   ╎    ╎    ╎    ╎ 304 @Base/loading.jl:2954  include_string(mapexpr::typeof(i…
   ╎    ╎    ╎    ╎  304 @Base/boot.jl:489  eval(m::Module, e::Any)
   ╎    ╎    ╎    ╎   304 @BlackBoxOptim/…:91  kwcall(::@NamedTuple{SearchRange…
   ╎    ╎    ╎    ╎    304 @BlackBoxOptim/…:91  bboptimize
   ╎    ╎    ╎    ╎     304 @BlackBoxOptim/…:93  bboptimize(functionOrProblem::…
   ╎    ╎    ╎    ╎    ╎ 304 @BlackBoxOptim/…:470  run!(oc::BlackBoxOptim.OptCo…
   ╎    ╎    ╎    ╎    ╎  1   @BlackBoxOptim/…:317  run!(ctrl::BlackBoxOptim.Op…
   ╎    ╎    ╎    ╎    ╎   1   @BlackBoxOptim/…:248  trace_progress(ctrl::Black…
   ╎    ╎    ╎    ╎    ╎    1   @BlackBoxOptim/…:120  trace
   ╎    ╎    ╎    ╎    ╎     1   @BlackBoxOptim/…:121  trace
   ╎    ╎    ╎    ╎    ╎    ╎ 1   @Base/…reio.jl:3  print(x::String)
   ╎    ╎    ╎    ╎    ╎    ╎  1   @Base/…io.jl:239  print(io::Base.PipeEndpoin…
   ╎    ╎    ╎    ╎    ╎    ╎   1   @Base/…io.jl:237  write
   ╎    ╎    ╎    ╎    ╎    ╎    1   @Base/…am.jl:1150  unsafe_write(s::Base.Pi…
   ╎    ╎    ╎    ╎    ╎    ╎     1   @Base/…am.jl:1065  uv_write(s::Base.PipeE…
  1╎    ╎    ╎    ╎    ╎    ╎    ╎ 1   @Base/…am.jl:1110  uv_write_async(s::Bas…
   ╎    ╎    ╎    ╎    ╎  303 @BlackBoxOptim/…:321  run!(ctrl::BlackBoxOptim.Op…
   ╎    ╎    ╎    ╎    ╎   303 @BlackBoxOptim/…:274  step!
   ╎    ╎    ╎    ╎    ╎    303 @BlackBoxOptim/…:183  rank_by_fitness!
   ╎    ╎    ╎    ╎    ╎     303 @BlackBoxOptim/…:51  update_fitness!
   ╎    ╎    ╎    ╎    ╎    ╎ 303 @BlackBoxOptim/…:51  #update_fitness!#48
   ╎    ╎    ╎    ╎    ╎    ╎  303 @BlackBoxOptim/…:41  update_fitness!
   ╎    ╎    ╎    ╎    ╎    ╎   303 @BlackBoxOptim/…:45  update_fitness!(f::Not…
   ╎    ╎    ╎    ╎    ╎    ╎    303 @BlackBoxOptim/…:23  update_fitness!
   ╎    ╎    ╎    ╎    ╎    ╎     303 @BlackBoxOptim/…:26  #update_fitness!#45
   ╎    ╎    ╎    ╎    ╎    ╎    ╎ 303 @BlackBoxOptim/…:150  fitness
   ╎    ╎    ╎    ╎    ╎    ╎    ╎  303 @BlackBoxOptim/…:61  fitness
   ╎    ╎    ╎    ╎    ╎    ╎    ╎   303 @SciMLBase/…:4258  OptimizationFunction
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    303 @DiffEqParamEstim/…:10  #37
   ╎    ╎    ╎    ╎    ╎    ╎    ╎     303 @DiffEqParamEstim/…:18  #37
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ 303 @DiffEqParamEstim/…:103  (::L2Loss{…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  303 @Base/…ed.jl:214  getindex(VA::ODE…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎   303 @Base/…ed.jl:251  depwarn
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎    303 @Base/…ed.jl:256  #depwarn#958
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎     303 @Base/…on.jl:1327  invokelatest…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +1 303 @Base/…on.jl:1333  #invokelates…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +2 303 @Base/…ed.jl:265  _depwarn(msg:…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +3 301 @Base/…ng.jl:401  macro expansi…
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +4 33  @Base/…ed.jl:269  macro expansi…
 27╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 27  @Base/…or.jl:124  backtrace()
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 5   @Base/…or.jl:125  backtrace()
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 1   @Base/…ay.jl:1190  _growend_int…
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 1   @Base/…or.jl:0  _reformat_bt(bt…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 1   @Base/…or.jl:86  _reformat_bt(b…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 1   @Base/…ls.jl:964  getindex
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +8 1   @Base/…ls.jl:385  checkbounds
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +9 1   @Base/…ls.jl:381  checkbounds
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 2   @Base/…or.jl:89  _reformat_bt(b…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 2   @Base/…ay.jl:1345  push!
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +8 2   @Base/…ay.jl:1349  _push!
  2╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +9 2   @Base/…ay.jl:1044  __safe_setin…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +4 268 @Base/…ed.jl:270  macro expansi…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 268 @Base/…ed.jl:290  firstcaller
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 268 @Base/…ed.jl:295  firstcaller
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 1   @Base/…ay.jl:0  lookup(pointer:…
263╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 264 @Base/…es.jl:110  lookup(pointe…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 1   @Base/…es.jl:113  lookup(pointe…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +8 1   @Base/…ot.jl:648  Array
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +9 1   @Base/…ot.jl:588  GenericMemory
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 1   @Base/…es.jl:115  lookup(pointe…
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +8 1   @Base/…ls.jl:980  getindex
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 1   @Base/…es.jl:121  lookup(pointe…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +3 1   @Base/…ng.jl:402  macro expansi…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +4 1   @Base/…ng.jl:340  current_logge…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 1   @Base/…ng.jl:536  current_logst…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 1   @Base/…es.jl:213  get
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 1   @Base/…ct.jl:999  get(dict::Bas…
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +3 1   @Base/…ng.jl:407  macro expansi…

759.14 secs, 8403 evals, 8285 steps, improv/step: 0.170 (last = 0.0000), fitness=0.035763028
759.65 secs, 8408 evals, 8290 steps, improv/step: 0.171 (last = 0.4000), fitness=0.035763028
760.21 secs, 8415 evals, 8297 steps, improv/step: 0.171 (last = 0.2857), fitness=0.035763028
760.79 secs, 8422 evals, 8304 steps, improv/step: 0.171 (last = 0.1429), fitness=0.035763028
761.37 secs, 8429 evals, 8311 steps, improv/step: 0.170 (last = 0.0000), fitness=0.035763028
761.87 secs, 8435 evals, 8317 steps, improv/step: 0.170 (last = 0.0000), fitness=0.035763028
762.46 secs, 8442 evals, 8324 steps, improv/step: 0.170 (last = 0.0000), fitness=0.035763028
762.98 secs, 8448 evals, 8330 steps, improv/step: 0.170 (last = 0.0000), fitness=0.035763028
763.55 secs, 8455 evals, 8337 steps, improv/step: 0.170 (last = 0.0000), fitness=0.035763028
764.12 secs, 8462 evals, 8344 steps, improv/step: 0.170 (last = 0.1429), fitness=0.035763028

[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)
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:457
wait at ./task.jl:1217
wait_forever at ./task.jl:1139
jfptr_wait_forever_70160.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
jl_apply at /source/src/julia.h:2275 [inlined]
start_task at /source/src/task.c:1281
unknown function (ip: (nil)) at (unknown file)
Allocations: 26273599 (Pool: 26272920; Big: 679); GC: 19

[114] signal 15: Terminated
in expression starting at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/test/tests_on_odes/l2loss_test.jl:14
pthread_sigmask at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
_ULx86_64_dwarf_find_proc_info at /opt/julia/bin/../lib/julia/libunwind.so.8 (unknown line)
_ULx86_64_get_proc_info_by_ip at /opt/julia/bin/../lib/julia/libunwind.so.8 (unknown line)
get_function_name_and_base at /source/src/debuginfo.cpp:732 [inlined]
jl_dylib_DI_for_fptr at /source/src/debuginfo.cpp:1167
jl_getDylibFunctionInfo at /source/src/debuginfo.cpp:1199 [inlined]
jl_getFunctionInfo_impl at /source/src/debuginfo.cpp:1295
ijl_lookup_code_address at /source/src/stackwalk.c:616
lookup at ./stacktraces.jl:110
firstcaller at ./deprecated.jl:295 [inlined]
firstcaller at ./deprecated.jl:290 [inlined]
macro expansion at ./deprecated.jl:270 [inlined]
macro expansion at ./logging/logging.jl:401 [inlined]
_depwarn at ./deprecated.jl:265
jfptr__depwarn_73825.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
jl_apply at /source/src/julia.h:2275 [inlined]
jl_f_invoke_in_world at /source/src/builtins.c:908
#invokelatest_gr#224 at ./reflection.jl:1333 [inlined]
invokelatest_gr at ./reflection.jl:1327 [inlined]
#depwarn#958 at ./deprecated.jl:256 [inlined]
depwarn at ./deprecated.jl:251 [inlined]
getindex at ./deprecated.jl:214
L2Loss at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/src/cost_functions.jl:103
#37 at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/src/build_loss_objective.jl:18 [inlined]
#37 at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/src/build_loss_objective.jl:10 [inlined]
OptimizationFunction at /home/pkgeval/.julia/packages/SciMLBase/YE7xF/src/scimlfunctions.jl:4258 [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 [inlined]
#update_fitness!#45 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!#47 at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/evaluator.jl:45
update_fitness! at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/evaluator.jl:41 [inlined]
#update_fitness!#48 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 [inlined]
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: 0x7f2f1ddc2e72) at (unknown file)
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
run! at /home/pkgeval/.julia/packages/BlackBoxOptim/lZtsr/src/opt_controller.jl:470
unknown function (ip: 0x7f2f1ddbfe22) at (unknown file)
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
#bboptimize#115 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: 0x7f2f1dda10a8) at (unknown file)
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
jl_apply at /source/src/julia.h:2275 [inlined]
do_call at /source/src/interpreter.c:123
eval_value at /source/src/interpreter.c:243
eval_stmt_value at /source/src/interpreter.c:194 [inlined]
eval_body at /source/src/interpreter.c:679
jl_interpret_toplevel_thunk at /source/src/interpreter.c:884
jl_toplevel_eval_flex at /source/src/toplevel.c:742
jl_eval_toplevel_stmts at /source/src/toplevel.c:585
jl_toplevel_eval_flex at /source/src/toplevel.c:683
ijl_toplevel_eval at /source/src/toplevel.c:754
ijl_toplevel_eval_in at /source/src/toplevel.c:799
eval at ./boot.jl:489
include_string at ./loading.jl:2954
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
_include at ./loading.jl:3014
include at ./Base.jl:310
IncludeInto at ./Base.jl:311
unknown function (ip: 0x7f2f1dd14e02) at (unknown file)
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
macro expansion at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/test/runtests.jl:5 [inlined]
macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1954 [inlined]
macro expansion at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/test/runtests.jl:4 [inlined]
macro expansion at ./timing.jl:689 [inlined]
top-level scope at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/test/runtests.jl:353
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_invoke at /source/src/gf.c:4123
jl_toplevel_eval_flex at /source/src/toplevel.c:731
jl_eval_toplevel_stmts at /source/src/toplevel.c:585
jl_toplevel_eval_flex at /source/src/toplevel.c:683
ijl_toplevel_eval at /source/src/toplevel.c:754
ijl_toplevel_eval_in at /source/src/toplevel.c:799
eval at ./boot.jl:489
include_string at ./loading.jl:2954
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
_include at ./loading.jl:3014
include at ./Base.jl:310
IncludeInto at ./Base.jl:311
jfptr_IncludeInto_63216.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
jl_apply at /source/src/julia.h:2275 [inlined]
do_call at /source/src/interpreter.c:123
eval_value at /source/src/interpreter.c:243
eval_stmt_value at /source/src/interpreter.c:194 [inlined]
eval_body at /source/src/interpreter.c:679
jl_interpret_toplevel_thunk at /source/src/interpreter.c:884
jl_toplevel_eval_flex at /source/src/toplevel.c:742
jl_eval_toplevel_stmts at /source/src/toplevel.c:585
jl_toplevel_eval_flex at /source/src/toplevel.c:683
ijl_toplevel_eval at /source/src/toplevel.c:754
ijl_toplevel_eval_in at /source/src/toplevel.c:799
eval at ./boot.jl:489
exec_options at ./client.jl:310
_start at ./client.jl:577
jfptr__start_57501.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
jl_apply at /source/src/julia.h:2275 [inlined]
true_main at /source/src/jlapi.c:971
jl_repl_entrypoint at /source/src/jlapi.c:1138
main at /source/cli/loader_exe.c:58
unknown function (ip: 0x7f2f3394a249) at /lib/x86_64-linux-gnu/libc.so.6
__libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S
unknown function (ip: (nil)) at (unknown file)
Allocations: 462489043 (Pool: 462487557; Big: 1486); GC: 683

PkgEval terminated after 2735.38s: test duration exceeded the time limit