Package evaluation to test DiffEqParamEstim on Julia 1.13.0-DEV.1296 (e8025198af*) started at 2025-10-12T20:33:01.708


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

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 10.23s


################################################################################
# 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 v1.9.0
  [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 6.59s


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# Precompilation
#

Precompiling PkgEval dependencies...

Precompiling package dependencies...

Precompilation completed after 1143.92s


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# Testing
#

     Testing DiffEqParamEstim
      Status `/tmp/jl_wV3cZW/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 v6.83.0
  [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_wV3cZW/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 v4.10.1
  [77a26b50] DiffEqNoiseProcess v5.24.1
  [1130ab10] DiffEqParamEstim v2.2.0
  [163ba53b] DiffResults v1.1.0
  [b552c78f] DiffRules v1.15.1
  [a0c0ee7d] DifferentiationInterface v0.7.9
  [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 v0.13.86
  [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 v1.36.0
  [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 v1.9.0
  [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 v1.1.1
  [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 v6.83.0
  [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
0.65 secs, 6 evals, 3 steps, improv/step: 1.000 (last = 1.0000), fitness=623.914268820
1.20 secs, 10 evals, 5 steps, improv/step: 1.000 (last = 1.0000), fitness=623.914268820
1.78 secs, 16 evals, 8 steps, improv/step: 0.750 (last = 0.3333), fitness=623.914268820
2.46 secs, 23 evals, 12 steps, improv/step: 0.667 (last = 0.5000), fitness=10.335696398
3.03 secs, 29 evals, 15 steps, improv/step: 0.667 (last = 0.6667), fitness=10.335696398
3.71 secs, 34 evals, 18 steps, improv/step: 0.722 (last = 1.0000), fitness=10.335696398
4.27 secs, 40 evals, 21 steps, improv/step: 0.714 (last = 0.6667), fitness=10.335696398
4.91 secs, 47 evals, 25 steps, improv/step: 0.640 (last = 0.2500), fitness=10.335696398
5.54 secs, 54 evals, 29 steps, improv/step: 0.621 (last = 0.5000), fitness=1.154169103
6.08 secs, 60 evals, 32 steps, improv/step: 0.562 (last = 0.0000), fitness=1.154169103
6.75 secs, 67 evals, 36 steps, improv/step: 0.528 (last = 0.2500), fitness=1.154169103
8.43 secs, 72 evals, 39 steps, improv/step: 0.513 (last = 0.3333), fitness=1.154169103
9.00 secs, 78 evals, 43 steps, improv/step: 0.512 (last = 0.5000), fitness=1.154169103
9.68 secs, 85 evals, 47 steps, improv/step: 0.489 (last = 0.2500), fitness=1.154169103
10.24 secs, 91 evals, 50 steps, improv/step: 0.480 (last = 0.3333), fitness=1.154169103
10.78 secs, 97 evals, 53 steps, improv/step: 0.453 (last = 0.0000), fitness=1.154169103
11.43 secs, 104 evals, 57 steps, improv/step: 0.456 (last = 0.5000), fitness=1.154169103
12.06 secs, 111 evals, 61 steps, improv/step: 0.443 (last = 0.2500), fitness=1.154169103
12.60 secs, 117 evals, 65 steps, improv/step: 0.462 (last = 0.7500), fitness=1.154169103
13.13 secs, 123 evals, 69 steps, improv/step: 0.435 (last = 0.0000), fitness=1.154169103
13.66 secs, 129 evals, 72 steps, improv/step: 0.444 (last = 0.6667), fitness=1.154169103
14.23 secs, 135 evals, 76 steps, improv/step: 0.421 (last = 0.0000), fitness=1.154169103
14.89 secs, 142 evals, 80 steps, improv/step: 0.425 (last = 0.5000), fitness=1.154169103
15.55 secs, 149 evals, 85 steps, improv/step: 0.412 (last = 0.2000), fitness=1.154169103
16.09 secs, 155 evals, 89 steps, improv/step: 0.416 (last = 0.5000), fitness=1.154169103
16.64 secs, 161 evals, 93 steps, improv/step: 0.398 (last = 0.0000), fitness=1.154169103
17.20 secs, 167 evals, 96 steps, improv/step: 0.396 (last = 0.3333), fitness=1.154169103
17.77 secs, 173 evals, 101 steps, improv/step: 0.386 (last = 0.2000), fitness=1.154169103
18.34 secs, 179 evals, 105 steps, improv/step: 0.390 (last = 0.5000), fitness=1.154169103
18.91 secs, 185 evals, 110 steps, improv/step: 0.391 (last = 0.4000), fitness=1.154169103
19.48 secs, 191 evals, 115 steps, improv/step: 0.383 (last = 0.2000), fitness=1.154169103
20.07 secs, 197 evals, 119 steps, improv/step: 0.378 (last = 0.2500), fitness=1.154169103
20.62 secs, 203 evals, 125 steps, improv/step: 0.376 (last = 0.3333), fitness=1.154169103
21.22 secs, 210 evals, 129 steps, improv/step: 0.380 (last = 0.5000), fitness=1.154169103
21.79 secs, 216 evals, 133 steps, improv/step: 0.383 (last = 0.5000), fitness=0.051055513
22.35 secs, 222 evals, 137 steps, improv/step: 0.387 (last = 0.5000), fitness=0.051055513
22.92 secs, 228 evals, 142 steps, improv/step: 0.387 (last = 0.4000), fitness=0.051055513
23.50 secs, 234 evals, 147 steps, improv/step: 0.388 (last = 0.4000), fitness=0.051055513
24.06 secs, 240 evals, 151 steps, improv/step: 0.391 (last = 0.5000), fitness=0.051055513
24.69 secs, 247 evals, 156 steps, improv/step: 0.391 (last = 0.4000), fitness=0.051055513
25.23 secs, 253 evals, 160 steps, improv/step: 0.394 (last = 0.5000), fitness=0.051055513
25.79 secs, 259 evals, 164 steps, improv/step: 0.396 (last = 0.5000), fitness=0.051055513
26.33 secs, 265 evals, 169 steps, improv/step: 0.396 (last = 0.4000), fitness=0.051055513
26.90 secs, 271 evals, 174 steps, improv/step: 0.391 (last = 0.2000), fitness=0.051055513
27.55 secs, 278 evals, 180 steps, improv/step: 0.383 (last = 0.1667), fitness=0.051055513
28.09 secs, 284 evals, 186 steps, improv/step: 0.387 (last = 0.5000), fitness=0.051055513
28.62 secs, 290 evals, 190 steps, improv/step: 0.384 (last = 0.2500), fitness=0.051055513
29.15 secs, 296 evals, 195 steps, improv/step: 0.385 (last = 0.4000), fitness=0.051055513
29.80 secs, 303 evals, 199 steps, improv/step: 0.377 (last = 0.0000), fitness=0.051055513
30.35 secs, 309 evals, 203 steps, improv/step: 0.379 (last = 0.5000), fitness=0.051055513
30.91 secs, 315 evals, 208 steps, improv/step: 0.375 (last = 0.2000), fitness=0.051055513
31.55 secs, 322 evals, 213 steps, improv/step: 0.385 (last = 0.8000), fitness=0.051055513
32.21 secs, 329 evals, 219 steps, improv/step: 0.393 (last = 0.6667), fitness=0.051055513
32.78 secs, 335 evals, 224 steps, improv/step: 0.388 (last = 0.2000), fitness=0.051055513
33.44 secs, 342 evals, 229 steps, improv/step: 0.384 (last = 0.2000), fitness=0.051055513
34.01 secs, 348 evals, 234 steps, improv/step: 0.380 (last = 0.2000), fitness=0.051055513
34.58 secs, 354 evals, 239 steps, improv/step: 0.389 (last = 0.8000), fitness=0.051055513
35.14 secs, 360 evals, 245 steps, improv/step: 0.396 (last = 0.6667), fitness=0.051055513
35.69 secs, 366 evals, 251 steps, improv/step: 0.398 (last = 0.5000), fitness=0.051055513
36.23 secs, 372 evals, 257 steps, improv/step: 0.393 (last = 0.1667), fitness=0.051055513
36.77 secs, 378 evals, 262 steps, improv/step: 0.389 (last = 0.2000), fitness=0.051055513
37.31 secs, 384 evals, 268 steps, improv/step: 0.396 (last = 0.6667), fitness=0.051055513
37.87 secs, 390 evals, 274 steps, improv/step: 0.401 (last = 0.6667), fitness=0.051055513
38.41 secs, 396 evals, 280 steps, improv/step: 0.400 (last = 0.3333), fitness=0.051055513
38.97 secs, 402 evals, 285 steps, improv/step: 0.396 (last = 0.2000), fitness=0.051055513
39.51 secs, 408 evals, 291 steps, improv/step: 0.402 (last = 0.6667), fitness=0.051055513
40.04 secs, 414 evals, 297 steps, improv/step: 0.401 (last = 0.3333), fitness=0.051055513
40.59 secs, 420 evals, 303 steps, improv/step: 0.399 (last = 0.3333), fitness=0.051055513
41.11 secs, 426 evals, 309 steps, improv/step: 0.395 (last = 0.1667), fitness=0.051055513
41.65 secs, 432 evals, 315 steps, improv/step: 0.394 (last = 0.3333), fitness=0.051055513
42.22 secs, 438 evals, 321 steps, improv/step: 0.393 (last = 0.3333), fitness=0.051055513
42.79 secs, 444 evals, 326 steps, improv/step: 0.393 (last = 0.4000), fitness=0.051055513
43.35 secs, 450 evals, 332 steps, improv/step: 0.386 (last = 0.0000), fitness=0.051055513
43.93 secs, 456 evals, 338 steps, improv/step: 0.385 (last = 0.3333), fitness=0.051055513
44.50 secs, 462 evals, 343 steps, improv/step: 0.391 (last = 0.8000), fitness=0.051055513
45.08 secs, 468 evals, 349 steps, improv/step: 0.390 (last = 0.3333), fitness=0.051055513
45.67 secs, 474 evals, 355 steps, improv/step: 0.386 (last = 0.1667), fitness=0.051055513
46.23 secs, 480 evals, 361 steps, improv/step: 0.391 (last = 0.6667), fitness=0.051055513
46.80 secs, 486 evals, 367 steps, improv/step: 0.387 (last = 0.1667), fitness=0.051055513
47.37 secs, 492 evals, 372 steps, improv/step: 0.384 (last = 0.2000), fitness=0.051055513
47.91 secs, 498 evals, 378 steps, improv/step: 0.384 (last = 0.3333), fitness=0.051055513
48.47 secs, 504 evals, 384 steps, improv/step: 0.380 (last = 0.1667), fitness=0.051055513
49.01 secs, 510 evals, 390 steps, improv/step: 0.382 (last = 0.5000), fitness=0.051055513
49.58 secs, 516 evals, 396 steps, improv/step: 0.379 (last = 0.1667), fitness=0.051055513
50.16 secs, 522 evals, 402 steps, improv/step: 0.378 (last = 0.3333), fitness=0.051055513
50.74 secs, 528 evals, 408 steps, improv/step: 0.380 (last = 0.5000), fitness=0.048283629
51.31 secs, 534 evals, 414 steps, improv/step: 0.374 (last = 0.0000), fitness=0.048283629
51.89 secs, 540 evals, 420 steps, improv/step: 0.374 (last = 0.3333), fitness=0.048283629
52.44 secs, 546 evals, 426 steps, improv/step: 0.371 (last = 0.1667), fitness=0.048283629
52.99 secs, 552 evals, 432 steps, improv/step: 0.370 (last = 0.3333), fitness=0.048283629
53.56 secs, 558 evals, 438 steps, improv/step: 0.368 (last = 0.1667), fitness=0.048283629
54.11 secs, 564 evals, 444 steps, improv/step: 0.367 (last = 0.3333), fitness=0.048283629
54.67 secs, 570 evals, 450 steps, improv/step: 0.367 (last = 0.3333), fitness=0.048283629
55.25 secs, 576 evals, 455 steps, improv/step: 0.363 (last = 0.0000), fitness=0.048283629
55.80 secs, 582 evals, 461 steps, improv/step: 0.362 (last = 0.3333), fitness=0.048283629
56.33 secs, 588 evals, 466 steps, improv/step: 0.363 (last = 0.4000), fitness=0.048283629
56.85 secs, 594 evals, 472 steps, improv/step: 0.364 (last = 0.5000), fitness=0.045064437
57.41 secs, 600 evals, 478 steps, improv/step: 0.364 (last = 0.3333), fitness=0.045064437
57.96 secs, 606 evals, 484 steps, improv/step: 0.368 (last = 0.6667), fitness=0.044508735
58.51 secs, 612 evals, 490 steps, improv/step: 0.365 (last = 0.1667), fitness=0.044508735
59.08 secs, 618 evals, 496 steps, improv/step: 0.365 (last = 0.3333), fitness=0.044508735
59.63 secs, 624 evals, 502 steps, improv/step: 0.367 (last = 0.5000), fitness=0.044508735
60.20 secs, 630 evals, 508 steps, improv/step: 0.368 (last = 0.5000), fitness=0.044508735
60.76 secs, 636 evals, 515 steps, improv/step: 0.371 (last = 0.5714), fitness=0.044508735
61.32 secs, 642 evals, 521 steps, improv/step: 0.374 (last = 0.6667), fitness=0.044508735
61.89 secs, 648 evals, 527 steps, improv/step: 0.372 (last = 0.1667), fitness=0.044508735
62.45 secs, 654 evals, 533 steps, improv/step: 0.371 (last = 0.3333), fitness=0.044508735
63.01 secs, 660 evals, 539 steps, improv/step: 0.373 (last = 0.5000), fitness=0.044508735
63.57 secs, 666 evals, 545 steps, improv/step: 0.369 (last = 0.0000), fitness=0.044508735
64.11 secs, 672 evals, 551 steps, improv/step: 0.367 (last = 0.1667), fitness=0.043870325
64.67 secs, 678 evals, 557 steps, improv/step: 0.370 (last = 0.6667), fitness=0.043870325
65.22 secs, 684 evals, 563 steps, improv/step: 0.371 (last = 0.5000), fitness=0.043870325
65.78 secs, 690 evals, 569 steps, improv/step: 0.369 (last = 0.1667), fitness=0.043870325
66.31 secs, 696 evals, 575 steps, improv/step: 0.370 (last = 0.5000), fitness=0.043870325
66.84 secs, 702 evals, 581 steps, improv/step: 0.370 (last = 0.3333), fitness=0.043870325
67.40 secs, 708 evals, 587 steps, improv/step: 0.370 (last = 0.3333), fitness=0.043870325
67.97 secs, 714 evals, 593 steps, improv/step: 0.368 (last = 0.1667), fitness=0.043870325
68.54 secs, 720 evals, 599 steps, improv/step: 0.367 (last = 0.3333), fitness=0.043870325
69.12 secs, 726 evals, 605 steps, improv/step: 0.367 (last = 0.3333), fitness=0.043870325
69.69 secs, 732 evals, 611 steps, improv/step: 0.368 (last = 0.5000), fitness=0.043870325
70.25 secs, 738 evals, 617 steps, improv/step: 0.366 (last = 0.1667), fitness=0.043870325
70.80 secs, 744 evals, 623 steps, improv/step: 0.366 (last = 0.3333), fitness=0.043870325
71.34 secs, 750 evals, 629 steps, improv/step: 0.364 (last = 0.1667), fitness=0.043870325
71.89 secs, 756 evals, 635 steps, improv/step: 0.364 (last = 0.3333), fitness=0.043870325
72.43 secs, 762 evals, 641 steps, improv/step: 0.363 (last = 0.3333), fitness=0.043870325
72.99 secs, 768 evals, 647 steps, improv/step: 0.363 (last = 0.3333), fitness=0.043870325
73.56 secs, 774 evals, 653 steps, improv/step: 0.364 (last = 0.5000), fitness=0.043870325
74.09 secs, 780 evals, 659 steps, improv/step: 0.363 (last = 0.1667), fitness=0.043870325
74.63 secs, 786 evals, 665 steps, improv/step: 0.365 (last = 0.6667), fitness=0.043870325
75.18 secs, 792 evals, 671 steps, improv/step: 0.367 (last = 0.5000), fitness=0.043868480
75.73 secs, 798 evals, 677 steps, improv/step: 0.368 (last = 0.5000), fitness=0.043868480
76.29 secs, 804 evals, 683 steps, improv/step: 0.366 (last = 0.1667), fitness=0.043868480
76.84 secs, 810 evals, 689 steps, improv/step: 0.364 (last = 0.1667), fitness=0.043868480
77.38 secs, 816 evals, 695 steps, improv/step: 0.364 (last = 0.3333), fitness=0.043868480
77.90 secs, 822 evals, 701 steps, improv/step: 0.365 (last = 0.5000), fitness=0.043868480
78.44 secs, 828 evals, 707 steps, improv/step: 0.368 (last = 0.6667), fitness=0.043860264
79.01 secs, 834 evals, 713 steps, improv/step: 0.369 (last = 0.5000), fitness=0.043860264
79.57 secs, 840 evals, 719 steps, improv/step: 0.369 (last = 0.3333), fitness=0.043860264
80.15 secs, 846 evals, 725 steps, improv/step: 0.368 (last = 0.3333), fitness=0.043860264
80.71 secs, 852 evals, 732 steps, improv/step: 0.369 (last = 0.4286), fitness=0.043860264
81.27 secs, 858 evals, 738 steps, improv/step: 0.369 (last = 0.3333), fitness=0.043860264
81.84 secs, 864 evals, 744 steps, improv/step: 0.370 (last = 0.5000), fitness=0.043860264
82.38 secs, 870 evals, 750 steps, improv/step: 0.368 (last = 0.1667), fitness=0.043860264
82.92 secs, 876 evals, 756 steps, improv/step: 0.369 (last = 0.5000), fitness=0.043840384
83.47 secs, 882 evals, 762 steps, improv/step: 0.369 (last = 0.3333), fitness=0.043840384
84.02 secs, 888 evals, 768 steps, improv/step: 0.367 (last = 0.1667), fitness=0.043840384
84.58 secs, 894 evals, 774 steps, improv/step: 0.366 (last = 0.1667), fitness=0.043840384
85.11 secs, 900 evals, 780 steps, improv/step: 0.367 (last = 0.5000), fitness=0.043840384
85.63 secs, 906 evals, 786 steps, improv/step: 0.366 (last = 0.3333), fitness=0.043840384
86.18 secs, 912 evals, 792 steps, improv/step: 0.365 (last = 0.1667), fitness=0.043840384
86.74 secs, 918 evals, 798 steps, improv/step: 0.366 (last = 0.5000), fitness=0.043840384
87.31 secs, 924 evals, 804 steps, improv/step: 0.366 (last = 0.3333), fitness=0.043840384
87.87 secs, 930 evals, 810 steps, improv/step: 0.365 (last = 0.3333), fitness=0.043835852
88.43 secs, 936 evals, 816 steps, improv/step: 0.365 (last = 0.3333), fitness=0.043835852
88.98 secs, 942 evals, 822 steps, improv/step: 0.365 (last = 0.3333), fitness=0.043835852
89.52 secs, 948 evals, 828 steps, improv/step: 0.364 (last = 0.1667), fitness=0.043835852
90.07 secs, 954 evals, 834 steps, improv/step: 0.363 (last = 0.3333), fitness=0.043835852
90.61 secs, 960 evals, 840 steps, improv/step: 0.364 (last = 0.5000), fitness=0.043835852
91.15 secs, 966 evals, 846 steps, improv/step: 0.364 (last = 0.3333), fitness=0.043835852
91.70 secs, 972 evals, 852 steps, improv/step: 0.364 (last = 0.3333), fitness=0.043835852
92.26 secs, 978 evals, 858 steps, improv/step: 0.365 (last = 0.5000), fitness=0.043835852
92.78 secs, 984 evals, 864 steps, improv/step: 0.365 (last = 0.3333), fitness=0.043835852
93.30 secs, 990 evals, 870 steps, improv/step: 0.363 (last = 0.1667), fitness=0.043835852
93.83 secs, 996 evals, 876 steps, improv/step: 0.363 (last = 0.3333), fitness=0.043835498
94.40 secs, 1002 evals, 882 steps, improv/step: 0.362 (last = 0.1667), fitness=0.043835498
94.96 secs, 1008 evals, 888 steps, improv/step: 0.360 (last = 0.1667), fitness=0.043835498
95.52 secs, 1014 evals, 894 steps, improv/step: 0.362 (last = 0.6667), fitness=0.043835498
96.06 secs, 1020 evals, 900 steps, improv/step: 0.362 (last = 0.3333), fitness=0.043835498
96.60 secs, 1026 evals, 906 steps, improv/step: 0.361 (last = 0.1667), fitness=0.043835498
97.13 secs, 1032 evals, 912 steps, improv/step: 0.361 (last = 0.3333), fitness=0.043835498
97.67 secs, 1038 evals, 918 steps, improv/step: 0.363 (last = 0.6667), fitness=0.043835498
98.22 secs, 1044 evals, 924 steps, improv/step: 0.363 (last = 0.3333), fitness=0.043835498
98.78 secs, 1050 evals, 930 steps, improv/step: 0.366 (last = 0.8333), fitness=0.043835498
99.34 secs, 1056 evals, 936 steps, improv/step: 0.366 (last = 0.5000), fitness=0.043835498
99.90 secs, 1062 evals, 942 steps, improv/step: 0.367 (last = 0.5000), fitness=0.043835498
100.44 secs, 1068 evals, 948 steps, improv/step: 0.367 (last = 0.3333), fitness=0.043835498
100.97 secs, 1074 evals, 954 steps, improv/step: 0.367 (last = 0.3333), fitness=0.043835498
101.51 secs, 1080 evals, 960 steps, improv/step: 0.368 (last = 0.5000), fitness=0.043835498
102.04 secs, 1086 evals, 966 steps, improv/step: 0.367 (last = 0.3333), fitness=0.043835498
102.60 secs, 1092 evals, 972 steps, improv/step: 0.367 (last = 0.3333), fitness=0.043835498
103.15 secs, 1098 evals, 978 steps, improv/step: 0.367 (last = 0.3333), fitness=0.043835498
103.67 secs, 1104 evals, 984 steps, improv/step: 0.366 (last = 0.1667), fitness=0.043835498
104.20 secs, 1110 evals, 990 steps, improv/step: 0.364 (last = 0.0000), fitness=0.043835498
104.74 secs, 1116 evals, 996 steps, improv/step: 0.362 (last = 0.1667), fitness=0.043835498
105.30 secs, 1122 evals, 1002 steps, improv/step: 0.363 (last = 0.5000), fitness=0.043835498
105.85 secs, 1128 evals, 1008 steps, improv/step: 0.365 (last = 0.6667), fitness=0.043835498
106.41 secs, 1134 evals, 1014 steps, improv/step: 0.364 (last = 0.1667), fitness=0.043835498
106.95 secs, 1140 evals, 1020 steps, improv/step: 0.364 (last = 0.3333), fitness=0.043835498
107.48 secs, 1146 evals, 1026 steps, improv/step: 0.364 (last = 0.3333), fitness=0.043835498
108.02 secs, 1152 evals, 1032 steps, improv/step: 0.362 (last = 0.1667), fitness=0.043835498
108.57 secs, 1158 evals, 1038 steps, improv/step: 0.362 (last = 0.3333), fitness=0.043835498
109.10 secs, 1164 evals, 1044 steps, improv/step: 0.362 (last = 0.3333), fitness=0.043835498
109.66 secs, 1170 evals, 1050 steps, improv/step: 0.362 (last = 0.3333), fitness=0.043835498
110.24 secs, 1176 evals, 1056 steps, improv/step: 0.362 (last = 0.3333), fitness=0.043835498
110.80 secs, 1182 evals, 1062 steps, improv/step: 0.362 (last = 0.3333), fitness=0.043835498
111.35 secs, 1188 evals, 1068 steps, improv/step: 0.360 (last = 0.1667), fitness=0.043835498
111.90 secs, 1194 evals, 1074 steps, improv/step: 0.360 (last = 0.3333), fitness=0.043835498
112.44 secs, 1200 evals, 1080 steps, improv/step: 0.361 (last = 0.5000), fitness=0.043835261
112.97 secs, 1206 evals, 1086 steps, improv/step: 0.362 (last = 0.5000), fitness=0.043835261
113.48 secs, 1212 evals, 1092 steps, improv/step: 0.363 (last = 0.5000), fitness=0.043835261
114.02 secs, 1218 evals, 1098 steps, improv/step: 0.365 (last = 0.8333), fitness=0.043835207
114.58 secs, 1224 evals, 1104 steps, improv/step: 0.364 (last = 0.1667), fitness=0.043835104
115.14 secs, 1230 evals, 1110 steps, improv/step: 0.364 (last = 0.3333), fitness=0.043835104
115.70 secs, 1236 evals, 1116 steps, improv/step: 0.365 (last = 0.5000), fitness=0.043835104
116.27 secs, 1242 evals, 1122 steps, improv/step: 0.365 (last = 0.5000), fitness=0.043835096
116.82 secs, 1248 evals, 1128 steps, improv/step: 0.366 (last = 0.5000), fitness=0.043835096
117.41 secs, 1254 evals, 1134 steps, improv/step: 0.367 (last = 0.5000), fitness=0.043835096
117.96 secs, 1260 evals, 1140 steps, improv/step: 0.368 (last = 0.5000), fitness=0.043835096
118.52 secs, 1266 evals, 1146 steps, improv/step: 0.366 (last = 0.1667), fitness=0.043835096
119.06 secs, 1272 evals, 1152 steps, improv/step: 0.365 (last = 0.0000), fitness=0.043835096
119.60 secs, 1278 evals, 1158 steps, improv/step: 0.364 (last = 0.1667), fitness=0.043835096
120.15 secs, 1284 evals, 1164 steps, improv/step: 0.364 (last = 0.5000), fitness=0.043835096
120.69 secs, 1290 evals, 1170 steps, improv/step: 0.364 (last = 0.3333), fitness=0.043835096
121.24 secs, 1296 evals, 1176 steps, improv/step: 0.366 (last = 0.6667), fitness=0.043835096
121.78 secs, 1302 evals, 1182 steps, improv/step: 0.366 (last = 0.5000), fitness=0.043835096
122.34 secs, 1308 evals, 1188 steps, improv/step: 0.368 (last = 0.6667), fitness=0.043835096
122.90 secs, 1314 evals, 1195 steps, improv/step: 0.370 (last = 0.7143), fitness=0.043835096
123.46 secs, 1320 evals, 1201 steps, improv/step: 0.372 (last = 0.8333), fitness=0.043835096
124.01 secs, 1326 evals, 1207 steps, improv/step: 0.372 (last = 0.3333), fitness=0.043835096
124.58 secs, 1332 evals, 1213 steps, improv/step: 0.371 (last = 0.1667), fitness=0.043835096
125.13 secs, 1338 evals, 1219 steps, improv/step: 0.372 (last = 0.5000), fitness=0.043835096
125.67 secs, 1344 evals, 1225 steps, improv/step: 0.371 (last = 0.3333), fitness=0.043835096
126.23 secs, 1350 evals, 1231 steps, improv/step: 0.372 (last = 0.5000), fitness=0.043835096
126.78 secs, 1356 evals, 1237 steps, improv/step: 0.372 (last = 0.3333), fitness=0.043835096
127.31 secs, 1362 evals, 1243 steps, improv/step: 0.372 (last = 0.3333), fitness=0.043835096
127.85 secs, 1368 evals, 1249 steps, improv/step: 0.372 (last = 0.5000), fitness=0.043835096
128.39 secs, 1374 evals, 1255 steps, improv/step: 0.372 (last = 0.3333), fitness=0.043835096
128.94 secs, 1380 evals, 1261 steps, improv/step: 0.373 (last = 0.5000), fitness=0.043835096
129.48 secs, 1386 evals, 1267 steps, improv/step: 0.372 (last = 0.1667), fitness=0.043835096
130.03 secs, 1392 evals, 1273 steps, improv/step: 0.370 (last = 0.0000), fitness=0.043835096
130.60 secs, 1398 evals, 1279 steps, improv/step: 0.369 (last = 0.1667), fitness=0.043835096
131.15 secs, 1404 evals, 1285 steps, improv/step: 0.370 (last = 0.5000), fitness=0.043835096
131.69 secs, 1410 evals, 1291 steps, improv/step: 0.369 (last = 0.1667), fitness=0.043835096
132.22 secs, 1416 evals, 1297 steps, improv/step: 0.368 (last = 0.1667), fitness=0.043835096
132.73 secs, 1422 evals, 1303 steps, improv/step: 0.368 (last = 0.5000), fitness=0.043835096
133.28 secs, 1428 evals, 1309 steps, improv/step: 0.369 (last = 0.5000), fitness=0.043835096
133.79 secs, 1434 evals, 1315 steps, improv/step: 0.370 (last = 0.5000), fitness=0.043835094
134.35 secs, 1440 evals, 1321 steps, improv/step: 0.369 (last = 0.3333), fitness=0.043835094
134.90 secs, 1446 evals, 1327 steps, improv/step: 0.369 (last = 0.3333), fitness=0.043835094
135.46 secs, 1452 evals, 1333 steps, improv/step: 0.370 (last = 0.5000), fitness=0.043835094
136.01 secs, 1458 evals, 1339 steps, improv/step: 0.368 (last = 0.0000), fitness=0.043835094
136.56 secs, 1464 evals, 1345 steps, improv/step: 0.368 (last = 0.3333), fitness=0.043835094
137.11 secs, 1470 evals, 1351 steps, improv/step: 0.369 (last = 0.5000), fitness=0.043835094
137.66 secs, 1476 evals, 1357 steps, improv/step: 0.369 (last = 0.5000), fitness=0.043835094
138.25 secs, 1482 evals, 1363 steps, improv/step: 0.369 (last = 0.3333), fitness=0.043835094
138.81 secs, 1488 evals, 1369 steps, improv/step: 0.369 (last = 0.3333), fitness=0.043835094
139.38 secs, 1494 evals, 1375 steps, improv/step: 0.369 (last = 0.3333), fitness=0.043835094
139.95 secs, 1500 evals, 1381 steps, improv/step: 0.368 (last = 0.1667), fitness=0.043835094
140.49 secs, 1506 evals, 1387 steps, improv/step: 0.369 (last = 0.6667), fitness=0.043835094
141.08 secs, 1512 evals, 1393 steps, improv/step: 0.370 (last = 0.5000), fitness=0.043835094
141.65 secs, 1518 evals, 1399 steps, improv/step: 0.370 (last = 0.3333), fitness=0.043835094
142.21 secs, 1524 evals, 1405 steps, improv/step: 0.369 (last = 0.3333), fitness=0.043835094
142.77 secs, 1530 evals, 1411 steps, improv/step: 0.370 (last = 0.5000), fitness=0.043835094
143.34 secs, 1536 evals, 1417 steps, improv/step: 0.371 (last = 0.5000), fitness=0.043835094
143.90 secs, 1542 evals, 1423 steps, improv/step: 0.370 (last = 0.1667), fitness=0.043835094
144.48 secs, 1548 evals, 1429 steps, improv/step: 0.371 (last = 0.6667), fitness=0.043835094
145.05 secs, 1554 evals, 1435 steps, improv/step: 0.371 (last = 0.3333), fitness=0.043835094
145.59 secs, 1560 evals, 1441 steps, improv/step: 0.370 (last = 0.1667), fitness=0.043835094
146.15 secs, 1566 evals, 1447 steps, improv/step: 0.369 (last = 0.1667), fitness=0.043835094
146.71 secs, 1572 evals, 1453 steps, improv/step: 0.369 (last = 0.3333), fitness=0.043835094
147.24 secs, 1578 evals, 1459 steps, improv/step: 0.368 (last = 0.1667), fitness=0.043835094
147.79 secs, 1584 evals, 1465 steps, improv/step: 0.367 (last = 0.0000), fitness=0.043835094
148.35 secs, 1590 evals, 1471 steps, improv/step: 0.366 (last = 0.1667), fitness=0.043835094
148.90 secs, 1596 evals, 1477 steps, improv/step: 0.366 (last = 0.5000), fitness=0.043835094
149.45 secs, 1602 evals, 1483 steps, improv/step: 0.367 (last = 0.6667), fitness=0.043835094
150.01 secs, 1608 evals, 1489 steps, improv/step: 0.368 (last = 0.5000), fitness=0.043835094
150.53 secs, 1614 evals, 1495 steps, improv/step: 0.368 (last = 0.3333), fitness=0.043835094
151.10 secs, 1620 evals, 1501 steps, improv/step: 0.367 (last = 0.1667), fitness=0.043835094
151.65 secs, 1626 evals, 1507 steps, improv/step: 0.366 (last = 0.1667), fitness=0.043835094
152.21 secs, 1632 evals, 1513 steps, improv/step: 0.367 (last = 0.5000), fitness=0.043835094
152.76 secs, 1638 evals, 1519 steps, improv/step: 0.367 (last = 0.5000), fitness=0.043835094
153.33 secs, 1644 evals, 1525 steps, improv/step: 0.367 (last = 0.1667), fitness=0.043835091
153.89 secs, 1650 evals, 1531 steps, improv/step: 0.366 (last = 0.3333), fitness=0.043835091
154.43 secs, 1656 evals, 1537 steps, improv/step: 0.365 (last = 0.0000), fitness=0.043835091
154.96 secs, 1662 evals, 1543 steps, improv/step: 0.364 (last = 0.1667), fitness=0.043835091
155.50 secs, 1668 evals, 1549 steps, improv/step: 0.364 (last = 0.3333), fitness=0.043835091
156.07 secs, 1674 evals, 1555 steps, improv/step: 0.364 (last = 0.3333), fitness=0.043835091
156.63 secs, 1680 evals, 1561 steps, improv/step: 0.363 (last = 0.1667), fitness=0.043835091
157.19 secs, 1686 evals, 1568 steps, improv/step: 0.363 (last = 0.2857), fitness=0.043835091
157.75 secs, 1692 evals, 1574 steps, improv/step: 0.363 (last = 0.5000), fitness=0.043835091
158.30 secs, 1698 evals, 1580 steps, improv/step: 0.363 (last = 0.3333), fitness=0.043835091
158.84 secs, 1704 evals, 1586 steps, improv/step: 0.363 (last = 0.3333), fitness=0.043835091
159.39 secs, 1710 evals, 1592 steps, improv/step: 0.362 (last = 0.1667), fitness=0.043835091
159.94 secs, 1716 evals, 1598 steps, improv/step: 0.363 (last = 0.5000), fitness=0.043835091
160.51 secs, 1722 evals, 1604 steps, improv/step: 0.362 (last = 0.1667), fitness=0.043835091
161.07 secs, 1728 evals, 1610 steps, improv/step: 0.361 (last = 0.1667), fitness=0.043835091
161.62 secs, 1734 evals, 1616 steps, improv/step: 0.362 (last = 0.5000), fitness=0.043835091
162.18 secs, 1740 evals, 1622 steps, improv/step: 0.363 (last = 0.5000), fitness=0.043835091
162.74 secs, 1746 evals, 1628 steps, improv/step: 0.362 (last = 0.3333), fitness=0.043835091
163.29 secs, 1752 evals, 1634 steps, improv/step: 0.363 (last = 0.5000), fitness=0.043835091
163.86 secs, 1758 evals, 1640 steps, improv/step: 0.363 (last = 0.5000), fitness=0.043835091
164.39 secs, 1764 evals, 1646 steps, improv/step: 0.362 (last = 0.0000), fitness=0.043835091
164.94 secs, 1770 evals, 1652 steps, improv/step: 0.361 (last = 0.1667), fitness=0.043835091
165.49 secs, 1776 evals, 1658 steps, improv/step: 0.361 (last = 0.1667), fitness=0.043835091
166.05 secs, 1782 evals, 1664 steps, improv/step: 0.360 (last = 0.1667), fitness=0.043835091
166.61 secs, 1788 evals, 1670 steps, improv/step: 0.359 (last = 0.1667), fitness=0.043835091
167.17 secs, 1794 evals, 1676 steps, improv/step: 0.359 (last = 0.3333), fitness=0.043835091
167.74 secs, 1800 evals, 1682 steps, improv/step: 0.359 (last = 0.1667), fitness=0.043835091
168.29 secs, 1806 evals, 1688 steps, improv/step: 0.358 (last = 0.1667), fitness=0.043835091
168.82 secs, 1812 evals, 1694 steps, improv/step: 0.358 (last = 0.5000), fitness=0.043835091
169.35 secs, 1818 evals, 1700 steps, improv/step: 0.358 (last = 0.1667), fitness=0.043835091
169.93 secs, 1824 evals, 1706 steps, improv/step: 0.356 (last = 0.0000), fitness=0.043835091
170.51 secs, 1830 evals, 1712 steps, improv/step: 0.356 (last = 0.3333), fitness=0.043835091
171.08 secs, 1836 evals, 1718 steps, improv/step: 0.357 (last = 0.6667), fitness=0.043835091
171.64 secs, 1842 evals, 1724 steps, improv/step: 0.359 (last = 0.8333), fitness=0.043835091
172.20 secs, 1848 evals, 1730 steps, improv/step: 0.360 (last = 0.5000), fitness=0.043835091
172.76 secs, 1854 evals, 1736 steps, improv/step: 0.360 (last = 0.5000), fitness=0.043835091
173.31 secs, 1860 evals, 1742 steps, improv/step: 0.360 (last = 0.3333), fitness=0.043835091
173.89 secs, 1866 evals, 1748 steps, improv/step: 0.360 (last = 0.3333), fitness=0.043835091
174.46 secs, 1872 evals, 1754 steps, improv/step: 0.359 (last = 0.0000), fitness=0.043835091
175.03 secs, 1878 evals, 1760 steps, improv/step: 0.358 (last = 0.1667), fitness=0.043835091
175.57 secs, 1884 evals, 1766 steps, improv/step: 0.358 (last = 0.5000), fitness=0.043835091
176.11 secs, 1890 evals, 1772 steps, improv/step: 0.358 (last = 0.3333), fitness=0.043835091
176.64 secs, 1896 evals, 1778 steps, improv/step: 0.358 (last = 0.3333), fitness=0.043835091
177.18 secs, 1902 evals, 1784 steps, improv/step: 0.358 (last = 0.3333), fitness=0.043835091
177.75 secs, 1908 evals, 1790 steps, improv/step: 0.359 (last = 0.6667), fitness=0.043835091
178.32 secs, 1914 evals, 1796 steps, improv/step: 0.359 (last = 0.3333), fitness=0.043835091
178.88 secs, 1920 evals, 1802 steps, improv/step: 0.358 (last = 0.0000), fitness=0.043835091
179.44 secs, 1926 evals, 1808 steps, improv/step: 0.358 (last = 0.3333), fitness=0.043835091
180.01 secs, 1932 evals, 1814 steps, improv/step: 0.358 (last = 0.3333), fitness=0.043835091
180.58 secs, 1938 evals, 1820 steps, improv/step: 0.357 (last = 0.1667), fitness=0.043835091
181.13 secs, 1944 evals, 1826 steps, improv/step: 0.357 (last = 0.1667), fitness=0.043835091
181.69 secs, 1950 evals, 1832 steps, improv/step: 0.357 (last = 0.5000), fitness=0.043835091
182.25 secs, 1956 evals, 1838 steps, improv/step: 0.358 (last = 0.6667), fitness=0.043835091
182.81 secs, 1962 evals, 1844 steps, improv/step: 0.358 (last = 0.3333), fitness=0.043835091
183.36 secs, 1968 evals, 1850 steps, improv/step: 0.358 (last = 0.3333), fitness=0.043835091
183.89 secs, 1974 evals, 1856 steps, improv/step: 0.358 (last = 0.5000), fitness=0.043835091
184.46 secs, 1980 evals, 1862 steps, improv/step: 0.358 (last = 0.3333), fitness=0.043835091
185.03 secs, 1986 evals, 1868 steps, improv/step: 0.360 (last = 0.8333), fitness=0.043835091
185.59 secs, 1992 evals, 1874 steps, improv/step: 0.361 (last = 0.6667), fitness=0.043835091
186.16 secs, 1998 evals, 1880 steps, improv/step: 0.361 (last = 0.5000), fitness=0.043835091
186.70 secs, 2004 evals, 1886 steps, improv/step: 0.362 (last = 0.5000), fitness=0.043835091
187.25 secs, 2010 evals, 1892 steps, improv/step: 0.361 (last = 0.1667), fitness=0.043835091
187.82 secs, 2016 evals, 1898 steps, improv/step: 0.361 (last = 0.5000), fitness=0.043835091
188.37 secs, 2022 evals, 1904 steps, improv/step: 0.362 (last = 0.5000), fitness=0.043835091
188.93 secs, 2028 evals, 1910 steps, improv/step: 0.361 (last = 0.1667), fitness=0.043835091
189.49 secs, 2034 evals, 1916 steps, improv/step: 0.361 (last = 0.3333), fitness=0.043835091
190.04 secs, 2040 evals, 1922 steps, improv/step: 0.361 (last = 0.1667), fitness=0.043835091
190.61 secs, 2046 evals, 1928 steps, improv/step: 0.360 (last = 0.3333), fitness=0.043835091
191.18 secs, 2052 evals, 1934 steps, improv/step: 0.360 (last = 0.3333), fitness=0.043835091
191.74 secs, 2058 evals, 1940 steps, improv/step: 0.360 (last = 0.1667), fitness=0.043835091
192.32 secs, 2064 evals, 1946 steps, improv/step: 0.359 (last = 0.1667), fitness=0.043835091
192.90 secs, 2070 evals, 1952 steps, improv/step: 0.358 (last = 0.0000), fitness=0.043835091
193.46 secs, 2076 evals, 1958 steps, improv/step: 0.357 (last = 0.0000), fitness=0.043835091
194.01 secs, 2082 evals, 1964 steps, improv/step: 0.356 (last = 0.0000), fitness=0.043835091
194.56 secs, 2088 evals, 1970 steps, improv/step: 0.356 (last = 0.3333), fitness=0.043835091
195.10 secs, 2094 evals, 1976 steps, improv/step: 0.356 (last = 0.3333), fitness=0.043835091
195.63 secs, 2100 evals, 1982 steps, improv/step: 0.355 (last = 0.1667), fitness=0.043835091
196.20 secs, 2106 evals, 1988 steps, improv/step: 0.355 (last = 0.3333), fitness=0.043835091
196.76 secs, 2112 evals, 1994 steps, improv/step: 0.355 (last = 0.3333), fitness=0.043835091
197.30 secs, 2118 evals, 2000 steps, improv/step: 0.354 (last = 0.1667), fitness=0.043835091
197.85 secs, 2124 evals, 2006 steps, improv/step: 0.354 (last = 0.1667), fitness=0.043835091
198.38 secs, 2130 evals, 2012 steps, improv/step: 0.354 (last = 0.3333), fitness=0.043835091
198.94 secs, 2136 evals, 2018 steps, improv/step: 0.353 (last = 0.1667), fitness=0.043835091
199.49 secs, 2142 evals, 2024 steps, improv/step: 0.352 (last = 0.0000), fitness=0.043835091
200.05 secs, 2148 evals, 2030 steps, improv/step: 0.352 (last = 0.3333), fitness=0.043835091
200.61 secs, 2154 evals, 2036 steps, improv/step: 0.351 (last = 0.0000), fitness=0.043835091
201.17 secs, 2160 evals, 2042 steps, improv/step: 0.351 (last = 0.1667), fitness=0.043835091
201.73 secs, 2166 evals, 2048 steps, improv/step: 0.351 (last = 0.5000), fitness=0.043835091
202.27 secs, 2172 evals, 2054 steps, improv/step: 0.351 (last = 0.1667), fitness=0.043835091
202.84 secs, 2178 evals, 2060 steps, improv/step: 0.350 (last = 0.1667), fitness=0.043835091
203.39 secs, 2184 evals, 2066 steps, improv/step: 0.349 (last = 0.0000), fitness=0.043835091
203.94 secs, 2190 evals, 2072 steps, improv/step: 0.348 (last = 0.1667), fitness=0.043835091
204.47 secs, 2196 evals, 2078 steps, improv/step: 0.348 (last = 0.1667), fitness=0.043835091
205.00 secs, 2202 evals, 2084 steps, improv/step: 0.349 (last = 0.6667), fitness=0.043835091
205.55 secs, 2208 evals, 2090 steps, improv/step: 0.348 (last = 0.1667), fitness=0.043835091
206.12 secs, 2214 evals, 2096 steps, improv/step: 0.348 (last = 0.3333), fitness=0.043835091
206.69 secs, 2220 evals, 2102 steps, improv/step: 0.347 (last = 0.0000), fitness=0.043835091
207.26 secs, 2226 evals, 2108 steps, improv/step: 0.347 (last = 0.1667), fitness=0.043835091
207.81 secs, 2232 evals, 2114 steps, improv/step: 0.346 (last = 0.0000), fitness=0.043835091
208.35 secs, 2238 evals, 2120 steps, improv/step: 0.345 (last = 0.1667), fitness=0.043835091
208.90 secs, 2244 evals, 2126 steps, improv/step: 0.345 (last = 0.1667), fitness=0.043835091
209.46 secs, 2250 evals, 2132 steps, improv/step: 0.345 (last = 0.3333), fitness=0.043835091
210.01 secs, 2256 evals, 2138 steps, improv/step: 0.344 (last = 0.1667), fitness=0.043835091
210.57 secs, 2262 evals, 2144 steps, improv/step: 0.344 (last = 0.1667), fitness=0.043835091
211.12 secs, 2268 evals, 2150 steps, improv/step: 0.344 (last = 0.3333), fitness=0.043835091
211.64 secs, 2274 evals, 2156 steps, improv/step: 0.344 (last = 0.3333), fitness=0.043835091
212.18 secs, 2280 evals, 2162 steps, improv/step: 0.343 (last = 0.1667), fitness=0.043835091
212.72 secs, 2286 evals, 2168 steps, improv/step: 0.343 (last = 0.1667), fitness=0.043835091
213.27 secs, 2292 evals, 2174 steps, improv/step: 0.343 (last = 0.3333), fitness=0.043835091
213.80 secs, 2298 evals, 2180 steps, improv/step: 0.342 (last = 0.1667), fitness=0.043835091
214.31 secs, 2304 evals, 2186 steps, improv/step: 0.342 (last = 0.1667), fitness=0.043835091
214.84 secs, 2310 evals, 2192 steps, improv/step: 0.341 (last = 0.0000), fitness=0.043835091
215.40 secs, 2316 evals, 2198 steps, improv/step: 0.340 (last = 0.1667), fitness=0.043835091
215.96 secs, 2322 evals, 2204 steps, improv/step: 0.340 (last = 0.1667), fitness=0.043835091
216.51 secs, 2328 evals, 2210 steps, improv/step: 0.340 (last = 0.5000), fitness=0.043835091
217.06 secs, 2334 evals, 2216 steps, improv/step: 0.340 (last = 0.1667), fitness=0.043835091
217.61 secs, 2340 evals, 2222 steps, improv/step: 0.339 (last = 0.0000), fitness=0.043835091
218.15 secs, 2346 evals, 2228 steps, improv/step: 0.338 (last = 0.1667), fitness=0.043835091
218.70 secs, 2352 evals, 2234 steps, improv/step: 0.338 (last = 0.0000), fitness=0.043835091
219.27 secs, 2358 evals, 2240 steps, improv/step: 0.337 (last = 0.1667), fitness=0.043835091
219.84 secs, 2364 evals, 2246 steps, improv/step: 0.336 (last = 0.0000), fitness=0.043835091
220.41 secs, 2370 evals, 2252 steps, improv/step: 0.336 (last = 0.3333), fitness=0.043835091
220.94 secs, 2376 evals, 2258 steps, improv/step: 0.335 (last = 0.0000), fitness=0.043835091
221.50 secs, 2382 evals, 2264 steps, improv/step: 0.335 (last = 0.1667), fitness=0.043835091
222.06 secs, 2388 evals, 2270 steps, improv/step: 0.334 (last = 0.0000), fitness=0.043835091
222.62 secs, 2394 evals, 2276 steps, improv/step: 0.334 (last = 0.3333), fitness=0.043835091
223.18 secs, 2400 evals, 2282 steps, improv/step: 0.334 (last = 0.3333), fitness=0.043835091
223.73 secs, 2406 evals, 2288 steps, improv/step: 0.333 (last = 0.1667), fitness=0.043835091
224.26 secs, 2412 evals, 2294 steps, improv/step: 0.334 (last = 0.5000), fitness=0.043835091
224.82 secs, 2418 evals, 2300 steps, improv/step: 0.333 (last = 0.1667), fitness=0.043835091
225.40 secs, 2424 evals, 2306 steps, improv/step: 0.333 (last = 0.1667), fitness=0.043835091
225.96 secs, 2430 evals, 2312 steps, improv/step: 0.333 (last = 0.3333), fitness=0.043835091
226.52 secs, 2436 evals, 2318 steps, improv/step: 0.332 (last = 0.0000), fitness=0.043835091
227.09 secs, 2442 evals, 2324 steps, improv/step: 0.332 (last = 0.1667), fitness=0.043835091
227.67 secs, 2448 evals, 2330 steps, improv/step: 0.331 (last = 0.1667), fitness=0.043835091
228.20 secs, 2454 evals, 2336 steps, improv/step: 0.331 (last = 0.1667), fitness=0.043835091
228.72 secs, 2460 evals, 2342 steps, improv/step: 0.330 (last = 0.1667), fitness=0.043835091
229.27 secs, 2466 evals, 2348 steps, improv/step: 0.330 (last = 0.0000), fitness=0.043835091
229.83 secs, 2472 evals, 2354 steps, improv/step: 0.329 (last = 0.1667), fitness=0.043835091
230.37 secs, 2478 evals, 2360 steps, improv/step: 0.329 (last = 0.1667), fitness=0.043835091
230.92 secs, 2484 evals, 2366 steps, improv/step: 0.328 (last = 0.0000), fitness=0.043835091
231.47 secs, 2490 evals, 2372 steps, improv/step: 0.328 (last = 0.5000), fitness=0.043835091
232.02 secs, 2496 evals, 2378 steps, improv/step: 0.328 (last = 0.3333), fitness=0.043835091
232.58 secs, 2502 evals, 2384 steps, improv/step: 0.328 (last = 0.0000), fitness=0.043835091
233.14 secs, 2508 evals, 2390 steps, improv/step: 0.327 (last = 0.1667), fitness=0.043835091
233.68 secs, 2514 evals, 2396 steps, improv/step: 0.326 (last = 0.0000), fitness=0.043835091
234.23 secs, 2520 evals, 2402 steps, improv/step: 0.326 (last = 0.1667), fitness=0.043835091
234.77 secs, 2526 evals, 2408 steps, improv/step: 0.325 (last = 0.0000), fitness=0.043835091
235.29 secs, 2532 evals, 2414 steps, improv/step: 0.325 (last = 0.1667), fitness=0.043835091
235.81 secs, 2538 evals, 2420 steps, improv/step: 0.324 (last = 0.1667), fitness=0.043835091
236.34 secs, 2544 evals, 2426 steps, improv/step: 0.324 (last = 0.1667), fitness=0.043835091
236.90 secs, 2550 evals, 2432 steps, improv/step: 0.324 (last = 0.1667), fitness=0.043835091
237.46 secs, 2556 evals, 2438 steps, improv/step: 0.323 (last = 0.0000), fitness=0.043835091
238.01 secs, 2562 evals, 2444 steps, improv/step: 0.322 (last = 0.1667), fitness=0.043835091
238.58 secs, 2568 evals, 2450 steps, improv/step: 0.322 (last = 0.1667), fitness=0.043835091
239.13 secs, 2574 evals, 2456 steps, improv/step: 0.322 (last = 0.3333), fitness=0.043835091
239.68 secs, 2580 evals, 2462 steps, improv/step: 0.321 (last = 0.0000), fitness=0.043835091
240.22 secs, 2586 evals, 2468 steps, improv/step: 0.321 (last = 0.1667), fitness=0.043835091
240.77 secs, 2592 evals, 2474 steps, improv/step: 0.321 (last = 0.5000), fitness=0.043835091
241.32 secs, 2598 evals, 2480 steps, improv/step: 0.321 (last = 0.1667), fitness=0.043835091
241.90 secs, 2604 evals, 2486 steps, improv/step: 0.321 (last = 0.1667), fitness=0.043835091
242.41 secs, 2610 evals, 2492 steps, improv/step: 0.321 (last = 0.3333), fitness=0.043835091
242.94 secs, 2616 evals, 2498 steps, improv/step: 0.320 (last = 0.0000), fitness=0.043835091
243.48 secs, 2622 evals, 2504 steps, improv/step: 0.319 (last = 0.1667), fitness=0.043835091
244.07 secs, 2628 evals, 2510 steps, improv/step: 0.320 (last = 0.3333), fitness=0.043835091
244.64 secs, 2634 evals, 2516 steps, improv/step: 0.320 (last = 0.3333), fitness=0.043835091
245.22 secs, 2640 evals, 2522 steps, improv/step: 0.320 (last = 0.3333), fitness=0.043835091
245.79 secs, 2646 evals, 2528 steps, improv/step: 0.320 (last = 0.5000), fitness=0.043835091
246.33 secs, 2652 evals, 2534 steps, improv/step: 0.320 (last = 0.1667), fitness=0.043835091
246.89 secs, 2658 evals, 2540 steps, improv/step: 0.320 (last = 0.5000), fitness=0.043835091
247.44 secs, 2664 evals, 2546 steps, improv/step: 0.320 (last = 0.1667), fitness=0.043835091
248.02 secs, 2670 evals, 2552 steps, improv/step: 0.320 (last = 0.3333), fitness=0.043835091
248.60 secs, 2676 evals, 2558 steps, improv/step: 0.319 (last = 0.1667), fitness=0.043835091
249.17 secs, 2682 evals, 2564 steps, improv/step: 0.319 (last = 0.0000), fitness=0.043835091
249.72 secs, 2688 evals, 2570 steps, improv/step: 0.319 (last = 0.3333), fitness=0.043835091
250.26 secs, 2694 evals, 2576 steps, improv/step: 0.319 (last = 0.5000), fitness=0.043835091
250.79 secs, 2700 evals, 2582 steps, improv/step: 0.319 (last = 0.1667), fitness=0.043835091
251.34 secs, 2706 evals, 2588 steps, improv/step: 0.318 (last = 0.0000), fitness=0.043835091
251.91 secs, 2712 evals, 2594 steps, improv/step: 0.318 (last = 0.1667), fitness=0.043835091
252.47 secs, 2718 evals, 2600 steps, improv/step: 0.317 (last = 0.1667), fitness=0.043835091
253.02 secs, 2724 evals, 2606 steps, improv/step: 0.318 (last = 0.5000), fitness=0.043835091
253.57 secs, 2730 evals, 2612 steps, improv/step: 0.317 (last = 0.1667), fitness=0.043835091
254.14 secs, 2736 evals, 2618 steps, improv/step: 0.317 (last = 0.1667), fitness=0.043835091
254.69 secs, 2742 evals, 2624 steps, improv/step: 0.316 (last = 0.0000), fitness=0.043835091
255.27 secs, 2748 evals, 2630 steps, improv/step: 0.316 (last = 0.0000), fitness=0.043835091
255.84 secs, 2754 evals, 2636 steps, improv/step: 0.316 (last = 0.6667), fitness=0.043835091
256.42 secs, 2760 evals, 2642 steps, improv/step: 0.316 (last = 0.1667), fitness=0.043835091
257.00 secs, 2766 evals, 2648 steps, improv/step: 0.316 (last = 0.3333), fitness=0.043835091
257.55 secs, 2772 evals, 2654 steps, improv/step: 0.317 (last = 0.5000), fitness=0.043835091
258.09 secs, 2778 evals, 2660 steps, improv/step: 0.316 (last = 0.1667), fitness=0.043835091
258.63 secs, 2784 evals, 2666 steps, improv/step: 0.316 (last = 0.3333), fitness=0.043835091
259.20 secs, 2790 evals, 2672 steps, improv/step: 0.316 (last = 0.1667), fitness=0.043835091
259.78 secs, 2796 evals, 2678 steps, improv/step: 0.316 (last = 0.1667), fitness=0.043835091
260.37 secs, 2802 evals, 2684 steps, improv/step: 0.315 (last = 0.1667), fitness=0.043835091
260.93 secs, 2808 evals, 2690 steps, improv/step: 0.314 (last = 0.0000), fitness=0.043835091
261.48 secs, 2814 evals, 2696 steps, improv/step: 0.315 (last = 0.3333), fitness=0.043835091
262.03 secs, 2820 evals, 2702 steps, improv/step: 0.314 (last = 0.1667), fitness=0.043835091
262.59 secs, 2826 evals, 2708 steps, improv/step: 0.314 (last = 0.0000), fitness=0.043835091
263.15 secs, 2832 evals, 2714 steps, improv/step: 0.313 (last = 0.0000), fitness=0.043835091
263.72 secs, 2838 evals, 2720 steps, improv/step: 0.312 (last = 0.0000), fitness=0.043835091
264.30 secs, 2844 evals, 2726 steps, improv/step: 0.313 (last = 0.6667), fitness=0.043835091
264.86 secs, 2850 evals, 2732 steps, improv/step: 0.313 (last = 0.5000), fitness=0.043835091
265.41 secs, 2856 evals, 2738 steps, improv/step: 0.313 (last = 0.1667), fitness=0.043835091
265.94 secs, 2862 evals, 2744 steps, improv/step: 0.313 (last = 0.1667), fitness=0.043835091
266.47 secs, 2868 evals, 2750 steps, improv/step: 0.312 (last = 0.0000), fitness=0.043835091
267.01 secs, 2874 evals, 2756 steps, improv/step: 0.312 (last = 0.3333), fitness=0.043835091
267.53 secs, 2880 evals, 2762 steps, improv/step: 0.312 (last = 0.3333), fitness=0.043835091
268.07 secs, 2886 evals, 2768 steps, improv/step: 0.312 (last = 0.1667), fitness=0.043835091
268.61 secs, 2892 evals, 2774 steps, improv/step: 0.312 (last = 0.3333), fitness=0.043835091
269.13 secs, 2898 evals, 2780 steps, improv/step: 0.312 (last = 0.3333), fitness=0.043835091
269.66 secs, 2904 evals, 2786 steps, improv/step: 0.312 (last = 0.3333), fitness=0.043835091
270.20 secs, 2910 evals, 2792 steps, improv/step: 0.312 (last = 0.3333), fitness=0.043835091
270.76 secs, 2916 evals, 2798 steps, improv/step: 0.311 (last = 0.0000), fitness=0.043835091
271.31 secs, 2922 evals, 2804 steps, improv/step: 0.311 (last = 0.1667), fitness=0.043835091
271.85 secs, 2928 evals, 2810 steps, improv/step: 0.311 (last = 0.1667), fitness=0.043835091
272.39 secs, 2934 evals, 2816 steps, improv/step: 0.311 (last = 0.5000), fitness=0.043835091
272.94 secs, 2940 evals, 2822 steps, improv/step: 0.311 (last = 0.1667), fitness=0.043835091
273.49 secs, 2946 evals, 2828 steps, improv/step: 0.310 (last = 0.1667), fitness=0.043835091
274.04 secs, 2952 evals, 2834 steps, improv/step: 0.311 (last = 0.5000), fitness=0.043835091
274.60 secs, 2958 evals, 2840 steps, improv/step: 0.311 (last = 0.1667), fitness=0.043835091
275.16 secs, 2964 evals, 2846 steps, improv/step: 0.310 (last = 0.1667), fitness=0.043835091
275.71 secs, 2970 evals, 2852 steps, improv/step: 0.310 (last = 0.3333), fitness=0.043835091
276.27 secs, 2976 evals, 2858 steps, improv/step: 0.310 (last = 0.0000), fitness=0.043835091
276.82 secs, 2982 evals, 2864 steps, improv/step: 0.309 (last = 0.0000), fitness=0.043835091
277.34 secs, 2988 evals, 2870 steps, improv/step: 0.308 (last = 0.0000), fitness=0.043835091
277.88 secs, 2994 evals, 2876 steps, improv/step: 0.308 (last = 0.0000), fitness=0.043835091
278.41 secs, 3000 evals, 2882 steps, improv/step: 0.307 (last = 0.0000), fitness=0.043835091
278.97 secs, 3006 evals, 2888 steps, improv/step: 0.307 (last = 0.1667), fitness=0.043835091
279.52 secs, 3012 evals, 2894 steps, improv/step: 0.307 (last = 0.3333), fitness=0.043835091
280.08 secs, 3018 evals, 2900 steps, improv/step: 0.307 (last = 0.1667), fitness=0.043835091
280.64 secs, 3024 evals, 2906 steps, improv/step: 0.306 (last = 0.0000), fitness=0.043835091
281.19 secs, 3030 evals, 2912 steps, improv/step: 0.306 (last = 0.1667), fitness=0.043835091
281.72 secs, 3036 evals, 2918 steps, improv/step: 0.305 (last = 0.1667), fitness=0.043835091
282.25 secs, 3042 evals, 2924 steps, improv/step: 0.305 (last = 0.1667), fitness=0.043835091
282.80 secs, 3048 evals, 2930 steps, improv/step: 0.305 (last = 0.3333), fitness=0.043835091
283.34 secs, 3054 evals, 2936 steps, improv/step: 0.304 (last = 0.0000), fitness=0.043835091
283.90 secs, 3060 evals, 2942 steps, improv/step: 0.304 (last = 0.1667), fitness=0.043835091
284.47 secs, 3066 evals, 2948 steps, improv/step: 0.304 (last = 0.1667), fitness=0.043835091
285.00 secs, 3072 evals, 2954 steps, improv/step: 0.304 (last = 0.5000), fitness=0.043835091
285.52 secs, 3078 evals, 2960 steps, improv/step: 0.304 (last = 0.1667), fitness=0.043835091
286.05 secs, 3084 evals, 2966 steps, improv/step: 0.304 (last = 0.5000), fitness=0.043835091
286.59 secs, 3090 evals, 2972 steps, improv/step: 0.305 (last = 0.3333), fitness=0.043835091
287.11 secs, 3096 evals, 2978 steps, improv/step: 0.304 (last = 0.1667), fitness=0.043835091
287.68 secs, 3102 evals, 2984 steps, improv/step: 0.304 (last = 0.1667), fitness=0.043835091
288.24 secs, 3108 evals, 2990 steps, improv/step: 0.304 (last = 0.1667), fitness=0.043835091
288.80 secs, 3114 evals, 2996 steps, improv/step: 0.303 (last = 0.0000), fitness=0.043835091
289.34 secs, 3120 evals, 3002 steps, improv/step: 0.303 (last = 0.5000), fitness=0.043835091
289.89 secs, 3126 evals, 3008 steps, improv/step: 0.304 (last = 0.3333), fitness=0.043835091
290.45 secs, 3132 evals, 3014 steps, improv/step: 0.304 (last = 0.3333), fitness=0.043835091
291.00 secs, 3138 evals, 3020 steps, improv/step: 0.304 (last = 0.5000), fitness=0.043835091
291.57 secs, 3144 evals, 3026 steps, improv/step: 0.304 (last = 0.1667), fitness=0.043835091
292.14 secs, 3150 evals, 3032 steps, improv/step: 0.304 (last = 0.6667), fitness=0.043835091
292.71 secs, 3156 evals, 3038 steps, improv/step: 0.304 (last = 0.3333), fitness=0.043835091
293.27 secs, 3162 evals, 3044 steps, improv/step: 0.304 (last = 0.1667), fitness=0.043835091
293.81 secs, 3168 evals, 3050 steps, improv/step: 0.304 (last = 0.1667), fitness=0.043835091
294.34 secs, 3174 evals, 3056 steps, improv/step: 0.304 (last = 0.1667), fitness=0.043835091
294.88 secs, 3180 evals, 3062 steps, improv/step: 0.304 (last = 0.3333), fitness=0.043835091
295.45 secs, 3186 evals, 3068 steps, improv/step: 0.304 (last = 0.3333), fitness=0.043835091
296.02 secs, 3192 evals, 3074 steps, improv/step: 0.303 (last = 0.0000), fitness=0.043835091
296.59 secs, 3198 evals, 3080 steps, improv/step: 0.303 (last = 0.0000), fitness=0.043835091
297.15 secs, 3204 evals, 3086 steps, improv/step: 0.303 (last = 0.3333), fitness=0.043835091
297.71 secs, 3210 evals, 3092 steps, improv/step: 0.302 (last = 0.0000), fitness=0.043835091
298.27 secs, 3216 evals, 3098 steps, improv/step: 0.302 (last = 0.5000), fitness=0.043835091
298.82 secs, 3222 evals, 3104 steps, improv/step: 0.302 (last = 0.0000), fitness=0.043835091
299.36 secs, 3228 evals, 3110 steps, improv/step: 0.302 (last = 0.1667), fitness=0.043835091
299.92 secs, 3234 evals, 3116 steps, improv/step: 0.301 (last = 0.1667), fitness=0.043835091
300.46 secs, 3240 evals, 3122 steps, improv/step: 0.301 (last = 0.3333), fitness=0.043835091
301.03 secs, 3246 evals, 3128 steps, improv/step: 0.301 (last = 0.3333), fitness=0.043835091
301.58 secs, 3252 evals, 3134 steps, improv/step: 0.301 (last = 0.1667), fitness=0.043835091
302.14 secs, 3258 evals, 3140 steps, improv/step: 0.301 (last = 0.3333), fitness=0.043835091
302.68 secs, 3264 evals, 3146 steps, improv/step: 0.301 (last = 0.1667), fitness=0.043835091
303.21 secs, 3270 evals, 3152 steps, improv/step: 0.301 (last = 0.1667), fitness=0.043835091
303.76 secs, 3276 evals, 3158 steps, improv/step: 0.301 (last = 0.3333), fitness=0.043835091
304.32 secs, 3282 evals, 3164 steps, improv/step: 0.300 (last = 0.0000), fitness=0.043835091
304.88 secs, 3288 evals, 3170 steps, improv/step: 0.300 (last = 0.1667), fitness=0.043835091
305.42 secs, 3294 evals, 3176 steps, improv/step: 0.300 (last = 0.1667), fitness=0.043835091
305.98 secs, 3300 evals, 3182 steps, improv/step: 0.300 (last = 0.5000), fitness=0.043835091
306.53 secs, 3306 evals, 3188 steps, improv/step: 0.300 (last = 0.3333), fitness=0.043835091
307.11 secs, 3312 evals, 3194 steps, improv/step: 0.300 (last = 0.1667), fitness=0.043835091
307.68 secs, 3318 evals, 3200 steps, improv/step: 0.300 (last = 0.1667), fitness=0.043835091
308.24 secs, 3324 evals, 3206 steps, improv/step: 0.300 (last = 0.3333), fitness=0.043835091
308.81 secs, 3330 evals, 3212 steps, improv/step: 0.300 (last = 0.3333), fitness=0.043835091
309.38 secs, 3336 evals, 3218 steps, improv/step: 0.300 (last = 0.1667), fitness=0.043835091
309.94 secs, 3342 evals, 3224 steps, improv/step: 0.300 (last = 0.3333), fitness=0.043835091
310.50 secs, 3348 evals, 3230 steps, improv/step: 0.300 (last = 0.3333), fitness=0.043835091
311.03 secs, 3354 evals, 3236 steps, improv/step: 0.299 (last = 0.0000), fitness=0.043835091
311.56 secs, 3360 evals, 3242 steps, improv/step: 0.299 (last = 0.0000), fitness=0.043835091
312.11 secs, 3366 evals, 3248 steps, improv/step: 0.299 (last = 0.3333), fitness=0.043835091
312.68 secs, 3372 evals, 3254 steps, improv/step: 0.298 (last = 0.1667), fitness=0.043835091
313.25 secs, 3378 evals, 3260 steps, improv/step: 0.298 (last = 0.1667), fitness=0.043835091
313.82 secs, 3384 evals, 3266 steps, improv/step: 0.298 (last = 0.3333), fitness=0.043835091
314.38 secs, 3390 evals, 3272 steps, improv/step: 0.299 (last = 0.5000), fitness=0.043835091
314.95 secs, 3396 evals, 3278 steps, improv/step: 0.298 (last = 0.1667), fitness=0.043835091
315.51 secs, 3402 evals, 3284 steps, improv/step: 0.299 (last = 0.5000), fitness=0.043835091
316.06 secs, 3408 evals, 3290 steps, improv/step: 0.298 (last = 0.1667), fitness=0.043835091
316.62 secs, 3414 evals, 3296 steps, improv/step: 0.298 (last = 0.1667), fitness=0.043835091
317.16 secs, 3420 evals, 3302 steps, improv/step: 0.298 (last = 0.0000), fitness=0.043835091
317.73 secs, 3426 evals, 3308 steps, improv/step: 0.298 (last = 0.5000), fitness=0.043835091
318.28 secs, 3432 evals, 3314 steps, improv/step: 0.298 (last = 0.3333), fitness=0.043835091
318.81 secs, 3438 evals, 3320 steps, improv/step: 0.298 (last = 0.0000), fitness=0.043835091
319.36 secs, 3444 evals, 3326 steps, improv/step: 0.298 (last = 0.5000), fitness=0.043835091
319.92 secs, 3450 evals, 3332 steps, improv/step: 0.298 (last = 0.1667), fitness=0.043835091
320.49 secs, 3456 evals, 3338 steps, improv/step: 0.297 (last = 0.0000), fitness=0.043835091
321.05 secs, 3462 evals, 3344 steps, improv/step: 0.297 (last = 0.1667), fitness=0.043835091
321.62 secs, 3468 evals, 3350 steps, improv/step: 0.297 (last = 0.3333), fitness=0.043835091
322.18 secs, 3474 evals, 3356 steps, improv/step: 0.297 (last = 0.5000), fitness=0.043835091
322.74 secs, 3480 evals, 3362 steps, improv/step: 0.297 (last = 0.1667), fitness=0.043835091
323.29 secs, 3486 evals, 3368 steps, improv/step: 0.297 (last = 0.3333), fitness=0.043835091
323.87 secs, 3492 evals, 3374 steps, improv/step: 0.297 (last = 0.3333), fitness=0.043835091
324.42 secs, 3498 evals, 3380 steps, improv/step: 0.297 (last = 0.3333), fitness=0.043835091
324.95 secs, 3504 evals, 3386 steps, improv/step: 0.297 (last = 0.3333), fitness=0.043835091
325.50 secs, 3510 evals, 3392 steps, improv/step: 0.297 (last = 0.1667), fitness=0.043835091
326.04 secs, 3516 evals, 3398 steps, improv/step: 0.297 (last = 0.3333), fitness=0.043835091
326.57 secs, 3522 evals, 3404 steps, improv/step: 0.297 (last = 0.0000), fitness=0.043835091
327.08 secs, 3528 evals, 3410 steps, improv/step: 0.297 (last = 0.3333), fitness=0.043835091
327.65 secs, 3534 evals, 3416 steps, improv/step: 0.297 (last = 0.3333), fitness=0.043835091
328.21 secs, 3540 evals, 3422 steps, improv/step: 0.297 (last = 0.3333), fitness=0.043835091
328.77 secs, 3546 evals, 3428 steps, improv/step: 0.298 (last = 0.8333), fitness=0.043835091
329.32 secs, 3552 evals, 3434 steps, improv/step: 0.298 (last = 0.3333), fitness=0.043835091
329.87 secs, 3558 evals, 3440 steps, improv/step: 0.298 (last = 0.3333), fitness=0.043835091
330.43 secs, 3564 evals, 3446 steps, improv/step: 0.297 (last = 0.0000), fitness=0.043835091
330.98 secs, 3570 evals, 3452 steps, improv/step: 0.298 (last = 0.3333), fitness=0.043835091
331.55 secs, 3576 evals, 3458 steps, improv/step: 0.297 (last = 0.0000), fitness=0.043835091
332.12 secs, 3582 evals, 3464 steps, improv/step: 0.297 (last = 0.1667), fitness=0.043835091
332.69 secs, 3588 evals, 3470 steps, improv/step: 0.297 (last = 0.1667), fitness=0.043835091
333.21 secs, 3594 evals, 3476 steps, improv/step: 0.296 (last = 0.0000), fitness=0.043835091
333.76 secs, 3600 evals, 3482 steps, improv/step: 0.296 (last = 0.5000), fitness=0.043835091
334.28 secs, 3606 evals, 3488 steps, improv/step: 0.296 (last = 0.3333), fitness=0.043835091
334.83 secs, 3612 evals, 3494 steps, improv/step: 0.297 (last = 0.3333), fitness=0.043835091
335.38 secs, 3618 evals, 3500 steps, improv/step: 0.296 (last = 0.1667), fitness=0.043835091
335.92 secs, 3624 evals, 3506 steps, improv/step: 0.297 (last = 0.5000), fitness=0.043835091
336.48 secs, 3630 evals, 3512 steps, improv/step: 0.297 (last = 0.3333), fitness=0.043835091
337.01 secs, 3636 evals, 3518 steps, improv/step: 0.297 (last = 0.3333), fitness=0.043835091
337.57 secs, 3642 evals, 3524 steps, improv/step: 0.297 (last = 0.1667), fitness=0.043835091
338.13 secs, 3648 evals, 3530 steps, improv/step: 0.296 (last = 0.0000), fitness=0.043835091
338.68 secs, 3654 evals, 3536 steps, improv/step: 0.297 (last = 0.6667), fitness=0.043835091
339.24 secs, 3660 evals, 3542 steps, improv/step: 0.296 (last = 0.1667), fitness=0.043835091
339.81 secs, 3666 evals, 3548 steps, improv/step: 0.296 (last = 0.0000), fitness=0.043835091
340.35 secs, 3672 evals, 3554 steps, improv/step: 0.296 (last = 0.3333), fitness=0.043835091
340.90 secs, 3678 evals, 3560 steps, improv/step: 0.296 (last = 0.5000), fitness=0.043835091
341.42 secs, 3684 evals, 3566 steps, improv/step: 0.296 (last = 0.3333), fitness=0.043835091
341.96 secs, 3690 evals, 3572 steps, improv/step: 0.297 (last = 0.6667), fitness=0.043835091
342.48 secs, 3696 evals, 3578 steps, improv/step: 0.297 (last = 0.5000), fitness=0.043835091
343.03 secs, 3702 evals, 3584 steps, improv/step: 0.297 (last = 0.1667), fitness=0.043835091
343.58 secs, 3708 evals, 3590 steps, improv/step: 0.297 (last = 0.0000), fitness=0.043835091
344.14 secs, 3714 evals, 3597 steps, improv/step: 0.296 (last = 0.1429), fitness=0.043835091
344.68 secs, 3720 evals, 3603 steps, improv/step: 0.296 (last = 0.1667), fitness=0.043835091
345.23 secs, 3726 evals, 3609 steps, improv/step: 0.296 (last = 0.3333), fitness=0.043835091
345.78 secs, 3732 evals, 3615 steps, improv/step: 0.296 (last = 0.1667), fitness=0.043835091
346.34 secs, 3738 evals, 3621 steps, improv/step: 0.296 (last = 0.5000), fitness=0.043835091
346.90 secs, 3744 evals, 3627 steps, improv/step: 0.297 (last = 0.5000), fitness=0.043835091
347.46 secs, 3750 evals, 3633 steps, improv/step: 0.297 (last = 0.3333), fitness=0.043835091
348.02 secs, 3756 evals, 3639 steps, improv/step: 0.297 (last = 0.5000), fitness=0.043835091
348.57 secs, 3762 evals, 3645 steps, improv/step: 0.297 (last = 0.3333), fitness=0.043835091
349.09 secs, 3768 evals, 3651 steps, improv/step: 0.297 (last = 0.1667), fitness=0.043835091
349.62 secs, 3774 evals, 3657 steps, improv/step: 0.297 (last = 0.3333), fitness=0.043835091
350.15 secs, 3780 evals, 3663 steps, improv/step: 0.297 (last = 0.1667), fitness=0.043835091
350.69 secs, 3786 evals, 3669 steps, improv/step: 0.297 (last = 0.3333), fitness=0.043835091
351.25 secs, 3792 evals, 3675 steps, improv/step: 0.297 (last = 0.1667), fitness=0.043835091
351.81 secs, 3798 evals, 3681 steps, improv/step: 0.296 (last = 0.1667), fitness=0.043835091
352.36 secs, 3804 evals, 3687 steps, improv/step: 0.297 (last = 0.5000), fitness=0.043835091
352.91 secs, 3810 evals, 3693 steps, improv/step: 0.296 (last = 0.0000), fitness=0.043835091
353.45 secs, 3816 evals, 3699 steps, improv/step: 0.296 (last = 0.1667), fitness=0.043835091
354.02 secs, 3822 evals, 3705 steps, improv/step: 0.296 (last = 0.1667), fitness=0.043835091
354.57 secs, 3828 evals, 3711 steps, improv/step: 0.296 (last = 0.5000), fitness=0.043835091
355.13 secs, 3834 evals, 3717 steps, improv/step: 0.296 (last = 0.1667), fitness=0.043835091
355.69 secs, 3840 evals, 3723 steps, improv/step: 0.296 (last = 0.1667), fitness=0.043835091
356.26 secs, 3846 evals, 3729 steps, improv/step: 0.296 (last = 0.3333), fitness=0.043835091
356.81 secs, 3852 evals, 3735 steps, improv/step: 0.295 (last = 0.0000), fitness=0.043835091
357.34 secs, 3858 evals, 3741 steps, improv/step: 0.295 (last = 0.3333), fitness=0.043835091
357.88 secs, 3864 evals, 3747 steps, improv/step: 0.296 (last = 0.5000), fitness=0.043835091
358.46 secs, 3870 evals, 3753 steps, improv/step: 0.295 (last = 0.0000), fitness=0.043835091
359.02 secs, 3876 evals, 3759 steps, improv/step: 0.295 (last = 0.1667), fitness=0.043835091
359.57 secs, 3882 evals, 3765 steps, improv/step: 0.295 (last = 0.0000), fitness=0.043835091
360.12 secs, 3888 evals, 3771 steps, improv/step: 0.294 (last = 0.0000), fitness=0.043835091
360.67 secs, 3894 evals, 3777 steps, improv/step: 0.294 (last = 0.0000), fitness=0.043835091
361.22 secs, 3900 evals, 3783 steps, improv/step: 0.293 (last = 0.1667), fitness=0.043835091
361.76 secs, 3906 evals, 3789 steps, improv/step: 0.293 (last = 0.3333), fitness=0.043835091
362.32 secs, 3912 evals, 3795 steps, improv/step: 0.294 (last = 0.3333), fitness=0.043835091
362.88 secs, 3918 evals, 3801 steps, improv/step: 0.293 (last = 0.1667), fitness=0.043835091
363.43 secs, 3924 evals, 3807 steps, improv/step: 0.294 (last = 0.5000), fitness=0.043835091
363.98 secs, 3930 evals, 3813 steps, improv/step: 0.294 (last = 0.3333), fitness=0.043835091
364.53 secs, 3936 evals, 3819 steps, improv/step: 0.294 (last = 0.1667), fitness=0.043835091
365.05 secs, 3942 evals, 3825 steps, improv/step: 0.294 (last = 0.5000), fitness=0.043835091
365.61 secs, 3948 evals, 3831 steps, improv/step: 0.294 (last = 0.1667), fitness=0.043835091
366.18 secs, 3954 evals, 3837 steps, improv/step: 0.293 (last = 0.1667), fitness=0.043835091
366.75 secs, 3960 evals, 3843 steps, improv/step: 0.294 (last = 0.3333), fitness=0.043835091
367.31 secs, 3966 evals, 3849 steps, improv/step: 0.294 (last = 0.5000), fitness=0.043835091
367.87 secs, 3972 evals, 3855 steps, improv/step: 0.294 (last = 0.6667), fitness=0.043835091
368.44 secs, 3978 evals, 3861 steps, improv/step: 0.295 (last = 0.5000), fitness=0.043835091
369.00 secs, 3984 evals, 3867 steps, improv/step: 0.295 (last = 0.1667), fitness=0.043835091
369.54 secs, 3990 evals, 3873 steps, improv/step: 0.294 (last = 0.1667), fitness=0.043835091
370.09 secs, 3996 evals, 3879 steps, improv/step: 0.295 (last = 0.5000), fitness=0.043835091
370.65 secs, 4002 evals, 3885 steps, improv/step: 0.294 (last = 0.1667), fitness=0.043835091
371.20 secs, 4008 evals, 3891 steps, improv/step: 0.295 (last = 0.3333), fitness=0.043835091
371.77 secs, 4014 evals, 3897 steps, improv/step: 0.295 (last = 0.3333), fitness=0.043835091
372.32 secs, 4020 evals, 3903 steps, improv/step: 0.295 (last = 0.3333), fitness=0.043835091
372.86 secs, 4026 evals, 3909 steps, improv/step: 0.295 (last = 0.3333), fitness=0.043835091
373.42 secs, 4032 evals, 3915 steps, improv/step: 0.295 (last = 0.3333), fitness=0.043835091
373.99 secs, 4038 evals, 3921 steps, improv/step: 0.295 (last = 0.1667), fitness=0.043835091
374.56 secs, 4044 evals, 3927 steps, improv/step: 0.294 (last = 0.1667), fitness=0.043835091
375.12 secs, 4050 evals, 3933 steps, improv/step: 0.294 (last = 0.3333), fitness=0.043835091
375.68 secs, 4056 evals, 3939 steps, improv/step: 0.294 (last = 0.3333), fitness=0.043835091
376.24 secs, 4062 evals, 3945 steps, improv/step: 0.295 (last = 0.6667), fitness=0.043835091
376.79 secs, 4068 evals, 3951 steps, improv/step: 0.295 (last = 0.5000), fitness=0.043835091
377.35 secs, 4074 evals, 3957 steps, improv/step: 0.295 (last = 0.3333), fitness=0.043835091
377.91 secs, 4080 evals, 3963 steps, improv/step: 0.296 (last = 0.5000), fitness=0.043835091
378.48 secs, 4086 evals, 3969 steps, improv/step: 0.296 (last = 0.6667), fitness=0.043835091
379.06 secs, 4092 evals, 3975 steps, improv/step: 0.296 (last = 0.0000), fitness=0.043835091
379.60 secs, 4098 evals, 3981 steps, improv/step: 0.296 (last = 0.3333), fitness=0.043835091
380.14 secs, 4104 evals, 3987 steps, improv/step: 0.296 (last = 0.3333), fitness=0.043835091
380.67 secs, 4110 evals, 3993 steps, improv/step: 0.296 (last = 0.1667), fitness=0.043835091
381.22 secs, 4116 evals, 3999 steps, improv/step: 0.296 (last = 0.3333), fitness=0.043835091
381.78 secs, 4122 evals, 4005 steps, improv/step: 0.296 (last = 0.3333), fitness=0.043835091
382.33 secs, 4128 evals, 4011 steps, improv/step: 0.296 (last = 0.1667), fitness=0.043835091
382.91 secs, 4134 evals, 4017 steps, improv/step: 0.296 (last = 0.3333), fitness=0.043835091
383.48 secs, 4140 evals, 4023 steps, improv/step: 0.296 (last = 0.5000), fitness=0.043835091
384.04 secs, 4146 evals, 4029 steps, improv/step: 0.297 (last = 0.6667), fitness=0.043835091
384.61 secs, 4152 evals, 4035 steps, improv/step: 0.297 (last = 0.3333), fitness=0.043835091
385.18 secs, 4158 evals, 4041 steps, improv/step: 0.297 (last = 0.3333), fitness=0.043835091
385.74 secs, 4164 evals, 4047 steps, improv/step: 0.297 (last = 0.3333), fitness=0.043835091
386.29 secs, 4170 evals, 4053 steps, improv/step: 0.297 (last = 0.1667), fitness=0.043835091
386.84 secs, 4176 evals, 4059 steps, improv/step: 0.296 (last = 0.0000), fitness=0.043835091
387.40 secs, 4182 evals, 4065 steps, improv/step: 0.296 (last = 0.3333), fitness=0.043835091
387.95 secs, 4188 evals, 4071 steps, improv/step: 0.296 (last = 0.3333), fitness=0.043835091
388.52 secs, 4194 evals, 4077 steps, improv/step: 0.296 (last = 0.1667), fitness=0.043835091
389.08 secs, 4200 evals, 4083 steps, improv/step: 0.296 (last = 0.5000), fitness=0.043835091
389.62 secs, 4206 evals, 4089 steps, improv/step: 0.297 (last = 0.8333), fitness=0.043835091
390.18 secs, 4212 evals, 4095 steps, improv/step: 0.297 (last = 0.3333), fitness=0.043835091
390.74 secs, 4218 evals, 4101 steps, improv/step: 0.298 (last = 0.6667), fitness=0.043835091
391.30 secs, 4224 evals, 4107 steps, improv/step: 0.297 (last = 0.0000), fitness=0.043835091
391.86 secs, 4230 evals, 4113 steps, improv/step: 0.297 (last = 0.1667), fitness=0.043835091
392.40 secs, 4236 evals, 4119 steps, improv/step: 0.297 (last = 0.3333), fitness=0.043835091
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393.50 secs, 4248 evals, 4131 steps, improv/step: 0.297 (last = 0.3333), fitness=0.043835091
394.06 secs, 4254 evals, 4137 steps, improv/step: 0.297 (last = 0.0000), fitness=0.043835091
394.62 secs, 4260 evals, 4143 steps, improv/step: 0.297 (last = 0.5000), fitness=0.043835091
395.17 secs, 4266 evals, 4149 steps, improv/step: 0.297 (last = 0.5000), fitness=0.043835091
395.73 secs, 4272 evals, 4155 steps, improv/step: 0.297 (last = 0.3333), fitness=0.043835091
396.29 secs, 4278 evals, 4161 steps, improv/step: 0.298 (last = 0.3333), fitness=0.043835091
396.83 secs, 4284 evals, 4167 steps, improv/step: 0.298 (last = 0.3333), fitness=0.043835091
397.37 secs, 4290 evals, 4173 steps, improv/step: 0.297 (last = 0.1667), fitness=0.043835091
397.93 secs, 4296 evals, 4179 steps, improv/step: 0.298 (last = 0.5000), fitness=0.043835091
398.50 secs, 4302 evals, 4185 steps, improv/step: 0.298 (last = 0.3333), fitness=0.043835091
399.06 secs, 4308 evals, 4191 steps, improv/step: 0.298 (last = 0.1667), fitness=0.043835091
399.63 secs, 4314 evals, 4197 steps, improv/step: 0.298 (last = 0.5000), fitness=0.043835091
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400.75 secs, 4326 evals, 4209 steps, improv/step: 0.298 (last = 0.3333), fitness=0.043835091
401.28 secs, 4332 evals, 4215 steps, improv/step: 0.298 (last = 0.6667), fitness=0.043835091
401.83 secs, 4338 evals, 4221 steps, improv/step: 0.298 (last = 0.1667), fitness=0.043835091
402.36 secs, 4344 evals, 4227 steps, improv/step: 0.298 (last = 0.3333), fitness=0.043835091
402.91 secs, 4350 evals, 4233 steps, improv/step: 0.298 (last = 0.3333), fitness=0.043835091
403.47 secs, 4356 evals, 4239 steps, improv/step: 0.298 (last = 0.5000), fitness=0.043835091
403.99 secs, 4362 evals, 4245 steps, improv/step: 0.298 (last = 0.0000), fitness=0.043835091
404.52 secs, 4368 evals, 4251 steps, improv/step: 0.298 (last = 0.3333), fitness=0.043835091
405.07 secs, 4374 evals, 4257 steps, improv/step: 0.298 (last = 0.1667), fitness=0.043835091
405.63 secs, 4380 evals, 4263 steps, improv/step: 0.298 (last = 0.3333), fitness=0.043835091
406.18 secs, 4386 evals, 4269 steps, improv/step: 0.298 (last = 0.5000), fitness=0.043835091
406.74 secs, 4392 evals, 4275 steps, improv/step: 0.298 (last = 0.1667), fitness=0.043835091
407.27 secs, 4398 evals, 4281 steps, improv/step: 0.298 (last = 0.5000), fitness=0.043835091
407.83 secs, 4404 evals, 4287 steps, improv/step: 0.298 (last = 0.3333), fitness=0.043835091
408.39 secs, 4410 evals, 4293 steps, improv/step: 0.299 (last = 0.5000), fitness=0.043835091
408.96 secs, 4416 evals, 4299 steps, improv/step: 0.299 (last = 0.5000), fitness=0.043835091
409.54 secs, 4422 evals, 4305 steps, improv/step: 0.299 (last = 0.5000), fitness=0.043835091
410.10 secs, 4428 evals, 4311 steps, improv/step: 0.299 (last = 0.1667), fitness=0.043835091
410.66 secs, 4434 evals, 4317 steps, improv/step: 0.299 (last = 0.5000), fitness=0.043835091
411.20 secs, 4440 evals, 4323 steps, improv/step: 0.300 (last = 0.5000), fitness=0.043835091
411.73 secs, 4446 evals, 4329 steps, improv/step: 0.299 (last = 0.0000), fitness=0.043835091
412.28 secs, 4452 evals, 4335 steps, improv/step: 0.299 (last = 0.5000), fitness=0.043835091
412.84 secs, 4458 evals, 4341 steps, improv/step: 0.299 (last = 0.3333), fitness=0.043835091
413.39 secs, 4464 evals, 4347 steps, improv/step: 0.300 (last = 0.3333), fitness=0.043835091
413.95 secs, 4470 evals, 4353 steps, improv/step: 0.299 (last = 0.0000), fitness=0.043835091
414.50 secs, 4476 evals, 4359 steps, improv/step: 0.300 (last = 0.6667), fitness=0.043835091
415.05 secs, 4482 evals, 4365 steps, improv/step: 0.299 (last = 0.1667), fitness=0.043835091
415.59 secs, 4488 evals, 4371 steps, improv/step: 0.299 (last = 0.3333), fitness=0.043835091
416.14 secs, 4494 evals, 4377 steps, improv/step: 0.299 (last = 0.1667), fitness=0.043835091
416.66 secs, 4500 evals, 4384 steps, improv/step: 0.299 (last = 0.4286), fitness=0.043835091
417.20 secs, 4506 evals, 4390 steps, improv/step: 0.300 (last = 0.3333), fitness=0.043835091
417.73 secs, 4512 evals, 4396 steps, improv/step: 0.299 (last = 0.1667), fitness=0.043835091
418.26 secs, 4518 evals, 4402 steps, improv/step: 0.300 (last = 0.8333), fitness=0.043835091
418.81 secs, 4524 evals, 4408 steps, improv/step: 0.300 (last = 0.3333), fitness=0.043835091
419.36 secs, 4530 evals, 4414 steps, improv/step: 0.300 (last = 0.1667), fitness=0.043835091
419.92 secs, 4536 evals, 4420 steps, improv/step: 0.300 (last = 0.3333), fitness=0.043835091
420.47 secs, 4542 evals, 4426 steps, improv/step: 0.300 (last = 0.0000), fitness=0.043835091
421.04 secs, 4548 evals, 4432 steps, improv/step: 0.300 (last = 0.3333), fitness=0.043835091
421.58 secs, 4554 evals, 4438 steps, improv/step: 0.300 (last = 0.3333), fitness=0.043835091
422.14 secs, 4560 evals, 4444 steps, improv/step: 0.300 (last = 0.3333), fitness=0.043835091
422.70 secs, 4566 evals, 4450 steps, improv/step: 0.299 (last = 0.0000), fitness=0.043835091
423.27 secs, 4572 evals, 4456 steps, improv/step: 0.299 (last = 0.1667), fitness=0.043835091
423.84 secs, 4578 evals, 4462 steps, improv/step: 0.299 (last = 0.0000), fitness=0.043835091
424.40 secs, 4584 evals, 4468 steps, improv/step: 0.299 (last = 0.5000), fitness=0.043835091
424.97 secs, 4590 evals, 4474 steps, improv/step: 0.299 (last = 0.1667), fitness=0.043835091
425.52 secs, 4596 evals, 4480 steps, improv/step: 0.299 (last = 0.5000), fitness=0.043835091
426.07 secs, 4602 evals, 4486 steps, improv/step: 0.299 (last = 0.1667), fitness=0.043835091
426.62 secs, 4608 evals, 4492 steps, improv/step: 0.299 (last = 0.0000), fitness=0.043835091
427.18 secs, 4614 evals, 4498 steps, improv/step: 0.298 (last = 0.0000), fitness=0.043835091
427.76 secs, 4620 evals, 4504 steps, improv/step: 0.298 (last = 0.0000), fitness=0.043835091
428.33 secs, 4626 evals, 4510 steps, improv/step: 0.298 (last = 0.3333), fitness=0.043835091
428.90 secs, 4632 evals, 4516 steps, improv/step: 0.297 (last = 0.0000), fitness=0.043835091
429.47 secs, 4638 evals, 4522 steps, improv/step: 0.297 (last = 0.0000), fitness=0.043835091
430.04 secs, 4644 evals, 4528 steps, improv/step: 0.297 (last = 0.1667), fitness=0.043835091
430.61 secs, 4650 evals, 4534 steps, improv/step: 0.297 (last = 0.3333), fitness=0.043835091
431.15 secs, 4656 evals, 4540 steps, improv/step: 0.297 (last = 0.1667), fitness=0.043835091
431.70 secs, 4662 evals, 4546 steps, improv/step: 0.297 (last = 0.1667), fitness=0.043835091
432.26 secs, 4668 evals, 4552 steps, improv/step: 0.296 (last = 0.0000), fitness=0.043835091
432.79 secs, 4674 evals, 4558 steps, improv/step: 0.296 (last = 0.1667), fitness=0.043835091
433.35 secs, 4680 evals, 4564 steps, improv/step: 0.296 (last = 0.0000), fitness=0.043835091
433.89 secs, 4686 evals, 4570 steps, improv/step: 0.295 (last = 0.0000), fitness=0.043835091
434.46 secs, 4692 evals, 4576 steps, improv/step: 0.295 (last = 0.0000), fitness=0.043835091
435.01 secs, 4698 evals, 4582 steps, improv/step: 0.295 (last = 0.1667), fitness=0.043835091
435.57 secs, 4704 evals, 4588 steps, improv/step: 0.295 (last = 0.5000), fitness=0.043835091
436.13 secs, 4710 evals, 4594 steps, improv/step: 0.295 (last = 0.5000), fitness=0.043835091
436.70 secs, 4716 evals, 4600 steps, improv/step: 0.295 (last = 0.1667), fitness=0.043835091
437.26 secs, 4722 evals, 4606 steps, improv/step: 0.295 (last = 0.0000), fitness=0.043835091
437.83 secs, 4728 evals, 4612 steps, improv/step: 0.294 (last = 0.1667), fitness=0.043835091
438.41 secs, 4734 evals, 4618 steps, improv/step: 0.294 (last = 0.3333), fitness=0.043835091
438.98 secs, 4740 evals, 4624 steps, improv/step: 0.294 (last = 0.1667), fitness=0.043835091
439.55 secs, 4746 evals, 4630 steps, improv/step: 0.294 (last = 0.0000), fitness=0.043835091
440.13 secs, 4752 evals, 4636 steps, improv/step: 0.294 (last = 0.0000), fitness=0.043835091
440.69 secs, 4758 evals, 4642 steps, improv/step: 0.294 (last = 0.3333), fitness=0.043835091
441.24 secs, 4764 evals, 4648 steps, improv/step: 0.293 (last = 0.0000), fitness=0.043835091
441.80 secs, 4770 evals, 4654 steps, improv/step: 0.293 (last = 0.3333), fitness=0.043835091
442.37 secs, 4776 evals, 4660 steps, improv/step: 0.293 (last = 0.0000), fitness=0.043835091
442.95 secs, 4782 evals, 4666 steps, improv/step: 0.293 (last = 0.0000), fitness=0.043835091
443.52 secs, 4788 evals, 4672 steps, improv/step: 0.292 (last = 0.0000), fitness=0.043835091
444.09 secs, 4794 evals, 4678 steps, improv/step: 0.292 (last = 0.0000), fitness=0.043835091
444.66 secs, 4800 evals, 4684 steps, improv/step: 0.292 (last = 0.5000), fitness=0.043835091
445.22 secs, 4806 evals, 4690 steps, improv/step: 0.292 (last = 0.0000), fitness=0.043835091
445.77 secs, 4812 evals, 4696 steps, improv/step: 0.291 (last = 0.0000), fitness=0.043835091
446.31 secs, 4818 evals, 4702 steps, improv/step: 0.291 (last = 0.0000), fitness=0.043835091
446.87 secs, 4824 evals, 4708 steps, improv/step: 0.291 (last = 0.0000), fitness=0.043835091
447.42 secs, 4830 evals, 4714 steps, improv/step: 0.291 (last = 0.5000), fitness=0.043835091
447.99 secs, 4836 evals, 4720 steps, improv/step: 0.290 (last = 0.0000), fitness=0.043835091
448.52 secs, 4842 evals, 4726 steps, improv/step: 0.291 (last = 0.3333), fitness=0.043835091
449.10 secs, 4848 evals, 4732 steps, improv/step: 0.291 (last = 0.3333), fitness=0.043835091
449.66 secs, 4854 evals, 4738 steps, improv/step: 0.290 (last = 0.1667), fitness=0.043835091
450.23 secs, 4860 evals, 4744 steps, improv/step: 0.290 (last = 0.0000), fitness=0.043835091
450.80 secs, 4866 evals, 4750 steps, improv/step: 0.290 (last = 0.1667), fitness=0.043835091
451.36 secs, 4872 evals, 4757 steps, improv/step: 0.289 (last = 0.0000), fitness=0.043835091
451.91 secs, 4878 evals, 4763 steps, improv/step: 0.289 (last = 0.0000), fitness=0.043835091
452.48 secs, 4884 evals, 4769 steps, improv/step: 0.289 (last = 0.5000), fitness=0.043835091
453.06 secs, 4890 evals, 4775 steps, improv/step: 0.290 (last = 0.5000), fitness=0.043835091
453.63 secs, 4896 evals, 4781 steps, improv/step: 0.289 (last = 0.0000), fitness=0.043835091
454.20 secs, 4902 evals, 4787 steps, improv/step: 0.289 (last = 0.0000), fitness=0.043835091
454.76 secs, 4908 evals, 4793 steps, improv/step: 0.289 (last = 0.1667), fitness=0.043835091
455.31 secs, 4914 evals, 4799 steps, improv/step: 0.289 (last = 0.1667), fitness=0.043835091
455.89 secs, 4920 evals, 4805 steps, improv/step: 0.288 (last = 0.0000), fitness=0.043835091
456.44 secs, 4926 evals, 4811 steps, improv/step: 0.288 (last = 0.1667), fitness=0.043835091
456.98 secs, 4932 evals, 4817 steps, improv/step: 0.288 (last = 0.0000), fitness=0.043835091
457.55 secs, 4938 evals, 4823 steps, improv/step: 0.288 (last = 0.3333), fitness=0.043835091
458.09 secs, 4944 evals, 4829 steps, improv/step: 0.287 (last = 0.0000), fitness=0.043835091
458.65 secs, 4950 evals, 4835 steps, improv/step: 0.287 (last = 0.1667), fitness=0.043835091
459.23 secs, 4956 evals, 4841 steps, improv/step: 0.287 (last = 0.0000), fitness=0.043835091
459.78 secs, 4962 evals, 4848 steps, improv/step: 0.287 (last = 0.1429), fitness=0.043835091
460.34 secs, 4968 evals, 4854 steps, improv/step: 0.287 (last = 0.1667), fitness=0.043835091
460.89 secs, 4974 evals, 4860 steps, improv/step: 0.286 (last = 0.1667), fitness=0.043835091
461.46 secs, 4980 evals, 4866 steps, improv/step: 0.286 (last = 0.0000), fitness=0.043835091
462.03 secs, 4986 evals, 4872 steps, improv/step: 0.286 (last = 0.0000), fitness=0.043835091
462.59 secs, 4992 evals, 4878 steps, improv/step: 0.286 (last = 0.1667), fitness=0.043835091
463.16 secs, 4998 evals, 4884 steps, improv/step: 0.285 (last = 0.0000), fitness=0.043835091
463.73 secs, 5004 evals, 4890 steps, improv/step: 0.285 (last = 0.1667), fitness=0.043835091
464.29 secs, 5010 evals, 4896 steps, improv/step: 0.285 (last = 0.5000), fitness=0.043835091
464.86 secs, 5016 evals, 4902 steps, improv/step: 0.285 (last = 0.3333), fitness=0.043835091
465.40 secs, 5022 evals, 4908 steps, improv/step: 0.285 (last = 0.3333), fitness=0.043835091
465.96 secs, 5028 evals, 4914 steps, improv/step: 0.285 (last = 0.0000), fitness=0.043835091
466.52 secs, 5034 evals, 4920 steps, improv/step: 0.285 (last = 0.3333), fitness=0.043835091
467.09 secs, 5040 evals, 4926 steps, improv/step: 0.285 (last = 0.1667), fitness=0.043835091
467.67 secs, 5046 evals, 4932 steps, improv/step: 0.285 (last = 0.3333), fitness=0.043835091
468.24 secs, 5052 evals, 4938 steps, improv/step: 0.285 (last = 0.1667), fitness=0.043835091
468.81 secs, 5058 evals, 4944 steps, improv/step: 0.285 (last = 0.1667), fitness=0.043835091
469.37 secs, 5064 evals, 4950 steps, improv/step: 0.284 (last = 0.0000), fitness=0.043835091
469.93 secs, 5070 evals, 4956 steps, improv/step: 0.284 (last = 0.1667), fitness=0.043835091
470.49 secs, 5076 evals, 4962 steps, improv/step: 0.284 (last = 0.0000), fitness=0.043835091
471.04 secs, 5082 evals, 4968 steps, improv/step: 0.284 (last = 0.0000), fitness=0.043835091
471.61 secs, 5088 evals, 4974 steps, improv/step: 0.284 (last = 0.5000), fitness=0.043835091
472.18 secs, 5094 evals, 4981 steps, improv/step: 0.283 (last = 0.0000), fitness=0.043835091
472.75 secs, 5100 evals, 4987 steps, improv/step: 0.283 (last = 0.1667), fitness=0.043835091
473.30 secs, 5106 evals, 4993 steps, improv/step: 0.283 (last = 0.0000), fitness=0.043835091
473.84 secs, 5112 evals, 4999 steps, improv/step: 0.283 (last = 0.0000), fitness=0.043835091
474.40 secs, 5118 evals, 5005 steps, improv/step: 0.282 (last = 0.0000), fitness=0.043835091
474.98 secs, 5124 evals, 5011 steps, improv/step: 0.282 (last = 0.0000), fitness=0.043835091
475.54 secs, 5130 evals, 5017 steps, improv/step: 0.282 (last = 0.0000), fitness=0.043835091
476.11 secs, 5136 evals, 5023 steps, improv/step: 0.282 (last = 0.1667), fitness=0.043835091
476.67 secs, 5142 evals, 5029 steps, improv/step: 0.281 (last = 0.1667), fitness=0.043835091
477.23 secs, 5148 evals, 5035 steps, improv/step: 0.281 (last = 0.0000), fitness=0.043835091
477.77 secs, 5154 evals, 5041 steps, improv/step: 0.281 (last = 0.3333), fitness=0.043835091
478.33 secs, 5160 evals, 5048 steps, improv/step: 0.281 (last = 0.1429), fitness=0.043835091
478.88 secs, 5166 evals, 5054 steps, improv/step: 0.281 (last = 0.1667), fitness=0.043835091
479.40 secs, 5172 evals, 5060 steps, improv/step: 0.281 (last = 0.1667), fitness=0.043835091
479.96 secs, 5178 evals, 5066 steps, improv/step: 0.280 (last = 0.1667), fitness=0.043835091
480.51 secs, 5184 evals, 5072 steps, improv/step: 0.280 (last = 0.1667), fitness=0.043835091
481.05 secs, 5190 evals, 5078 steps, improv/step: 0.280 (last = 0.0000), fitness=0.043835091
481.60 secs, 5196 evals, 5084 steps, improv/step: 0.280 (last = 0.1667), fitness=0.043835091
482.15 secs, 5202 evals, 5090 steps, improv/step: 0.280 (last = 0.1667), fitness=0.043835091
482.69 secs, 5208 evals, 5096 steps, improv/step: 0.279 (last = 0.0000), fitness=0.043835091
483.21 secs, 5214 evals, 5102 steps, improv/step: 0.279 (last = 0.0000), fitness=0.043835091
483.75 secs, 5220 evals, 5108 steps, improv/step: 0.279 (last = 0.0000), fitness=0.043835091
484.31 secs, 5226 evals, 5114 steps, improv/step: 0.279 (last = 0.1667), fitness=0.043835091
484.87 secs, 5232 evals, 5120 steps, improv/step: 0.279 (last = 0.1667), fitness=0.043835091
485.43 secs, 5238 evals, 5126 steps, improv/step: 0.278 (last = 0.0000), fitness=0.043835091
485.96 secs, 5244 evals, 5132 steps, improv/step: 0.278 (last = 0.0000), fitness=0.043835091
486.52 secs, 5250 evals, 5138 steps, improv/step: 0.278 (last = 0.0000), fitness=0.043835091
487.08 secs, 5256 evals, 5144 steps, improv/step: 0.277 (last = 0.0000), fitness=0.043835091
487.62 secs, 5262 evals, 5150 steps, improv/step: 0.277 (last = 0.0000), fitness=0.043835091
488.18 secs, 5268 evals, 5156 steps, improv/step: 0.277 (last = 0.1667), fitness=0.043835091
488.72 secs, 5274 evals, 5162 steps, improv/step: 0.277 (last = 0.1667), fitness=0.043835091
489.25 secs, 5280 evals, 5168 steps, improv/step: 0.277 (last = 0.1667), fitness=0.043835091
489.80 secs, 5286 evals, 5174 steps, improv/step: 0.276 (last = 0.0000), fitness=0.043835091
490.36 secs, 5292 evals, 5180 steps, improv/step: 0.276 (last = 0.0000), fitness=0.043835091
490.91 secs, 5298 evals, 5186 steps, improv/step: 0.276 (last = 0.0000), fitness=0.043835091
491.47 secs, 5304 evals, 5192 steps, improv/step: 0.276 (last = 0.5000), fitness=0.043835091
492.01 secs, 5310 evals, 5198 steps, improv/step: 0.276 (last = 0.1667), fitness=0.043835091
492.55 secs, 5316 evals, 5204 steps, improv/step: 0.276 (last = 0.1667), fitness=0.043835091
493.11 secs, 5322 evals, 5210 steps, improv/step: 0.275 (last = 0.0000), fitness=0.043835091
493.67 secs, 5328 evals, 5216 steps, improv/step: 0.275 (last = 0.1667), fitness=0.043835091
494.24 secs, 5334 evals, 5222 steps, improv/step: 0.275 (last = 0.1667), fitness=0.043835091
494.80 secs, 5340 evals, 5228 steps, improv/step: 0.275 (last = 0.0000), fitness=0.043835091
495.36 secs, 5346 evals, 5234 steps, improv/step: 0.275 (last = 0.3333), fitness=0.043835091
495.91 secs, 5352 evals, 5240 steps, improv/step: 0.274 (last = 0.0000), fitness=0.043835091
496.47 secs, 5358 evals, 5246 steps, improv/step: 0.274 (last = 0.0000), fitness=0.043835091
497.02 secs, 5364 evals, 5252 steps, improv/step: 0.274 (last = 0.0000), fitness=0.043835091
497.59 secs, 5370 evals, 5258 steps, improv/step: 0.273 (last = 0.0000), fitness=0.043835091
498.11 secs, 5376 evals, 5264 steps, improv/step: 0.273 (last = 0.0000), fitness=0.043835091
498.65 secs, 5382 evals, 5270 steps, improv/step: 0.273 (last = 0.5000), fitness=0.043835091
499.21 secs, 5388 evals, 5276 steps, improv/step: 0.273 (last = 0.0000), fitness=0.043835091
499.77 secs, 5394 evals, 5283 steps, improv/step: 0.273 (last = 0.0000), fitness=0.043835091
500.34 secs, 5400 evals, 5289 steps, improv/step: 0.273 (last = 0.1667), fitness=0.043835091
500.90 secs, 5406 evals, 5295 steps, improv/step: 0.273 (last = 0.1667), fitness=0.043835091
501.45 secs, 5412 evals, 5301 steps, improv/step: 0.272 (last = 0.0000), fitness=0.043835091
502.01 secs, 5418 evals, 5307 steps, improv/step: 0.272 (last = 0.0000), fitness=0.043835091
502.56 secs, 5424 evals, 5313 steps, improv/step: 0.272 (last = 0.1667), fitness=0.043835091
503.10 secs, 5430 evals, 5319 steps, improv/step: 0.271 (last = 0.0000), fitness=0.043835091
503.66 secs, 5436 evals, 5325 steps, improv/step: 0.271 (last = 0.1667), fitness=0.043835091
504.17 secs, 5442 evals, 5331 steps, improv/step: 0.271 (last = 0.0000), fitness=0.043835091
504.71 secs, 5448 evals, 5337 steps, improv/step: 0.271 (last = 0.0000), fitness=0.043835091
505.27 secs, 5454 evals, 5343 steps, improv/step: 0.271 (last = 0.1667), fitness=0.043835091
505.84 secs, 5460 evals, 5349 steps, improv/step: 0.270 (last = 0.0000), fitness=0.043835091
506.40 secs, 5466 evals, 5355 steps, improv/step: 0.270 (last = 0.0000), fitness=0.043835091
506.97 secs, 5472 evals, 5361 steps, improv/step: 0.270 (last = 0.0000), fitness=0.043835091
507.52 secs, 5478 evals, 5367 steps, improv/step: 0.270 (last = 0.1667), fitness=0.043835091
508.08 secs, 5484 evals, 5373 steps, improv/step: 0.269 (last = 0.0000), fitness=0.043835091
508.64 secs, 5490 evals, 5379 steps, improv/step: 0.269 (last = 0.0000), fitness=0.043835091
509.21 secs, 5496 evals, 5385 steps, improv/step: 0.269 (last = 0.0000), fitness=0.043835091
509.75 secs, 5502 evals, 5391 steps, improv/step: 0.268 (last = 0.0000), fitness=0.043835091
510.28 secs, 5508 evals, 5397 steps, improv/step: 0.268 (last = 0.1667), fitness=0.043835091
510.83 secs, 5514 evals, 5403 steps, improv/step: 0.268 (last = 0.1667), fitness=0.043835091
511.40 secs, 5520 evals, 5409 steps, improv/step: 0.268 (last = 0.0000), fitness=0.043835091
511.97 secs, 5526 evals, 5415 steps, improv/step: 0.268 (last = 0.0000), fitness=0.043835091
512.53 secs, 5532 evals, 5421 steps, improv/step: 0.267 (last = 0.0000), fitness=0.043835091
513.09 secs, 5538 evals, 5427 steps, improv/step: 0.267 (last = 0.0000), fitness=0.043835091
513.64 secs, 5544 evals, 5433 steps, improv/step: 0.267 (last = 0.1667), fitness=0.043835091
514.21 secs, 5550 evals, 5440 steps, improv/step: 0.267 (last = 0.0000), fitness=0.043835091
514.78 secs, 5556 evals, 5446 steps, improv/step: 0.266 (last = 0.1667), fitness=0.043835091
515.35 secs, 5562 evals, 5452 steps, improv/step: 0.266 (last = 0.0000), fitness=0.043835091
515.91 secs, 5568 evals, 5458 steps, improv/step: 0.266 (last = 0.0000), fitness=0.043835091
516.44 secs, 5574 evals, 5464 steps, improv/step: 0.266 (last = 0.0000), fitness=0.043835091
517.00 secs, 5580 evals, 5470 steps, improv/step: 0.266 (last = 0.3333), fitness=0.043835091
517.58 secs, 5586 evals, 5476 steps, improv/step: 0.265 (last = 0.0000), fitness=0.043835091
518.15 secs, 5592 evals, 5482 steps, improv/step: 0.265 (last = 0.0000), fitness=0.043835091
518.70 secs, 5598 evals, 5488 steps, improv/step: 0.265 (last = 0.1667), fitness=0.043835091
519.27 secs, 5604 evals, 5494 steps, improv/step: 0.265 (last = 0.1667), fitness=0.043835091
519.84 secs, 5610 evals, 5500 steps, improv/step: 0.265 (last = 0.0000), fitness=0.043835091
520.41 secs, 5616 evals, 5506 steps, improv/step: 0.264 (last = 0.0000), fitness=0.043835091
520.99 secs, 5622 evals, 5512 steps, improv/step: 0.264 (last = 0.0000), fitness=0.043835091
521.57 secs, 5628 evals, 5518 steps, improv/step: 0.264 (last = 0.0000), fitness=0.043835091
522.11 secs, 5634 evals, 5525 steps, improv/step: 0.264 (last = 0.1429), fitness=0.043835091
522.64 secs, 5640 evals, 5532 steps, improv/step: 0.264 (last = 0.2857), fitness=0.043835091
523.23 secs, 5646 evals, 5538 steps, improv/step: 0.263 (last = 0.1667), fitness=0.043835091
523.80 secs, 5652 evals, 5544 steps, improv/step: 0.263 (last = 0.0000), fitness=0.043835091
524.36 secs, 5658 evals, 5550 steps, improv/step: 0.263 (last = 0.1667), fitness=0.043835091
524.93 secs, 5664 evals, 5557 steps, improv/step: 0.263 (last = 0.2857), fitness=0.043835091
525.50 secs, 5670 evals, 5563 steps, improv/step: 0.263 (last = 0.0000), fitness=0.043835091
526.05 secs, 5676 evals, 5570 steps, improv/step: 0.262 (last = 0.0000), fitness=0.043835091
526.61 secs, 5682 evals, 5577 steps, improv/step: 0.262 (last = 0.0000), fitness=0.043835091
527.17 secs, 5688 evals, 5583 steps, improv/step: 0.262 (last = 0.0000), fitness=0.043835091
527.74 secs, 5694 evals, 5589 steps, improv/step: 0.262 (last = 0.1667), fitness=0.043835091
528.27 secs, 5700 evals, 5595 steps, improv/step: 0.261 (last = 0.0000), fitness=0.043835091
528.81 secs, 5706 evals, 5602 steps, improv/step: 0.261 (last = 0.1429), fitness=0.043835091
529.39 secs, 5712 evals, 5608 steps, improv/step: 0.261 (last = 0.0000), fitness=0.043835091
529.96 secs, 5718 evals, 5614 steps, improv/step: 0.261 (last = 0.0000), fitness=0.043835091
530.52 secs, 5724 evals, 5620 steps, improv/step: 0.260 (last = 0.0000), fitness=0.043835091
531.08 secs, 5730 evals, 5626 steps, improv/step: 0.260 (last = 0.0000), fitness=0.043835091
531.64 secs, 5736 evals, 5632 steps, improv/step: 0.260 (last = 0.0000), fitness=0.043835091
532.21 secs, 5742 evals, 5639 steps, improv/step: 0.260 (last = 0.1429), fitness=0.043835091
532.77 secs, 5748 evals, 5645 steps, improv/step: 0.260 (last = 0.0000), fitness=0.043835091
533.34 secs, 5754 evals, 5651 steps, improv/step: 0.259 (last = 0.1667), fitness=0.043835091
533.91 secs, 5760 evals, 5658 steps, improv/step: 0.259 (last = 0.1429), fitness=0.043835091
534.48 secs, 5766 evals, 5666 steps, improv/step: 0.259 (last = 0.0000), fitness=0.043835091
535.03 secs, 5772 evals, 5672 steps, improv/step: 0.259 (last = 0.3333), fitness=0.043835091
535.60 secs, 5778 evals, 5679 steps, improv/step: 0.259 (last = 0.0000), fitness=0.043835091
536.14 secs, 5784 evals, 5686 steps, improv/step: 0.259 (last = 0.1429), fitness=0.043835091
536.67 secs, 5790 evals, 5694 steps, improv/step: 0.258 (last = 0.1250), fitness=0.043835091
537.25 secs, 5796 evals, 5700 steps, improv/step: 0.258 (last = 0.1667), fitness=0.043835091
537.83 secs, 5802 evals, 5708 steps, improv/step: 0.258 (last = 0.1250), fitness=0.043835091
538.40 secs, 5808 evals, 5715 steps, improv/step: 0.258 (last = 0.0000), fitness=0.043835091
538.97 secs, 5814 evals, 5721 steps, improv/step: 0.257 (last = 0.0000), fitness=0.043835091
539.53 secs, 5820 evals, 5729 steps, improv/step: 0.257 (last = 0.0000), fitness=0.043835091
540.09 secs, 5826 evals, 5737 steps, improv/step: 0.257 (last = 0.2500), fitness=0.043835091
540.64 secs, 5832 evals, 5743 steps, improv/step: 0.258 (last = 0.6667), fitness=0.043835091
541.22 secs, 5838 evals, 5750 steps, improv/step: 0.257 (last = 0.0000), fitness=0.043835091
541.78 secs, 5844 evals, 5759 steps, improv/step: 0.257 (last = 0.1111), fitness=0.043835091
542.32 secs, 5850 evals, 5766 steps, improv/step: 0.257 (last = 0.0000), fitness=0.043835091
542.86 secs, 5856 evals, 5773 steps, improv/step: 0.256 (last = 0.0000), fitness=0.043835091
543.44 secs, 5862 evals, 5779 steps, improv/step: 0.256 (last = 0.0000), fitness=0.043835091
544.02 secs, 5868 evals, 5787 steps, improv/step: 0.256 (last = 0.1250), fitness=0.043835091
544.59 secs, 5874 evals, 5793 steps, improv/step: 0.256 (last = 0.1667), fitness=0.043835091
545.17 secs, 5880 evals, 5800 steps, improv/step: 0.256 (last = 0.0000), fitness=0.043835091
545.73 secs, 5886 evals, 5809 steps, improv/step: 0.255 (last = 0.0000), fitness=0.043835091
546.29 secs, 5892 evals, 5816 steps, improv/step: 0.255 (last = 0.0000), fitness=0.043835091
546.85 secs, 5898 evals, 5827 steps, improv/step: 0.254 (last = 0.0000), fitness=0.043835091
547.42 secs, 5904 evals, 5835 steps, improv/step: 0.254 (last = 0.0000), fitness=0.043835091
547.98 secs, 5910 evals, 5841 steps, improv/step: 0.254 (last = 0.0000), fitness=0.043835091
548.51 secs, 5916 evals, 5851 steps, improv/step: 0.253 (last = 0.0000), fitness=0.043835091
549.08 secs, 5922 evals, 5857 steps, improv/step: 0.253 (last = 0.3333), fitness=0.043835091
549.65 secs, 5928 evals, 5863 steps, improv/step: 0.253 (last = 0.3333), fitness=0.043835091
550.23 secs, 5934 evals, 5869 steps, improv/step: 0.254 (last = 0.5000), fitness=0.043835091
550.80 secs, 5940 evals, 5876 steps, improv/step: 0.253 (last = 0.0000), fitness=0.043835091
551.35 secs, 5946 evals, 5883 steps, improv/step: 0.253 (last = 0.0000), fitness=0.043835091
551.90 secs, 5952 evals, 5890 steps, improv/step: 0.253 (last = 0.1429), fitness=0.043835091
552.48 secs, 5958 evals, 5896 steps, improv/step: 0.253 (last = 0.0000), fitness=0.043835091
553.04 secs, 5964 evals, 5903 steps, improv/step: 0.253 (last = 0.1429), fitness=0.043835091
553.60 secs, 5970 evals, 5910 steps, improv/step: 0.252 (last = 0.0000), fitness=0.043835091
554.17 secs, 5976 evals, 5918 steps, improv/step: 0.252 (last = 0.1250), fitness=0.043835091
554.72 secs, 5982 evals, 5925 steps, improv/step: 0.252 (last = 0.0000), fitness=0.043835091
555.28 secs, 5988 evals, 5932 steps, improv/step: 0.252 (last = 0.1429), fitness=0.043835091
555.80 secs, 5994 evals, 5939 steps, improv/step: 0.251 (last = 0.0000), fitness=0.043835091
556.35 secs, 6000 evals, 5945 steps, improv/step: 0.251 (last = 0.1667), fitness=0.043835091
556.92 secs, 6006 evals, 5951 steps, improv/step: 0.251 (last = 0.1667), fitness=0.043835091
557.49 secs, 6012 evals, 5958 steps, improv/step: 0.251 (last = 0.1429), fitness=0.043835091
558.06 secs, 6018 evals, 5964 steps, improv/step: 0.251 (last = 0.1667), fitness=0.043835091
558.63 secs, 6024 evals, 5971 steps, improv/step: 0.251 (last = 0.1429), fitness=0.043835091
559.20 secs, 6030 evals, 5978 steps, improv/step: 0.251 (last = 0.0000), fitness=0.043835091
559.77 secs, 6036 evals, 5986 steps, improv/step: 0.250 (last = 0.0000), fitness=0.043835091
560.33 secs, 6042 evals, 5992 steps, improv/step: 0.250 (last = 0.3333), fitness=0.043835091
560.89 secs, 6048 evals, 5998 steps, improv/step: 0.250 (last = 0.1667), fitness=0.043835091
561.45 secs, 6054 evals, 6004 steps, improv/step: 0.250 (last = 0.0000), fitness=0.043835091
561.98 secs, 6060 evals, 6012 steps, improv/step: 0.250 (last = 0.0000), fitness=0.043835091
562.55 secs, 6066 evals, 6018 steps, improv/step: 0.250 (last = 0.1667), fitness=0.043835091
563.07 secs, 6072 evals, 6026 steps, improv/step: 0.249 (last = 0.1250), fitness=0.043835091
563.61 secs, 6078 evals, 6037 steps, improv/step: 0.249 (last = 0.0000), fitness=0.043835091
564.17 secs, 6084 evals, 6046 steps, improv/step: 0.249 (last = 0.0000), fitness=0.043835091
564.75 secs, 6090 evals, 6054 steps, improv/step: 0.248 (last = 0.0000), fitness=0.043835091
565.30 secs, 6096 evals, 6061 steps, improv/step: 0.248 (last = 0.0000), fitness=0.043835091
565.86 secs, 6102 evals, 6067 steps, improv/step: 0.248 (last = 0.1667), fitness=0.043835091
566.43 secs, 6108 evals, 6077 steps, improv/step: 0.248 (last = 0.2000), fitness=0.043835091
567.01 secs, 6114 evals, 6084 steps, improv/step: 0.248 (last = 0.1429), fitness=0.043835091
567.57 secs, 6120 evals, 6093 steps, improv/step: 0.247 (last = 0.0000), fitness=0.043835091
568.14 secs, 6126 evals, 6099 steps, improv/step: 0.247 (last = 0.0000), fitness=0.043835091
568.70 secs, 6132 evals, 6106 steps, improv/step: 0.247 (last = 0.2857), fitness=0.043835091
569.24 secs, 6138 evals, 6115 steps, improv/step: 0.247 (last = 0.0000), fitness=0.043835091
569.77 secs, 6144 evals, 6124 steps, improv/step: 0.246 (last = 0.0000), fitness=0.043835091
570.34 secs, 6150 evals, 6130 steps, improv/step: 0.246 (last = 0.0000), fitness=0.043835091
570.91 secs, 6156 evals, 6138 steps, improv/step: 0.246 (last = 0.1250), fitness=0.043835091
571.49 secs, 6162 evals, 6144 steps, improv/step: 0.246 (last = 0.1667), fitness=0.043835091
572.07 secs, 6168 evals, 6153 steps, improv/step: 0.246 (last = 0.0000), fitness=0.043835091
572.63 secs, 6174 evals, 6160 steps, improv/step: 0.246 (last = 0.2857), fitness=0.043835091
573.21 secs, 6180 evals, 6169 steps, improv/step: 0.245 (last = 0.0000), fitness=0.043835091
573.78 secs, 6186 evals, 6175 steps, improv/step: 0.245 (last = 0.1667), fitness=0.043835091
574.33 secs, 6192 evals, 6186 steps, improv/step: 0.245 (last = 0.0000), fitness=0.043835091
574.89 secs, 6198 evals, 6196 steps, improv/step: 0.244 (last = 0.0000), fitness=0.043835091
575.46 secs, 6204 evals, 6205 steps, improv/step: 0.244 (last = 0.1111), fitness=0.043835091
576.02 secs, 6210 evals, 6211 steps, improv/step: 0.244 (last = 0.1667), fitness=0.043835091
576.56 secs, 6216 evals, 6220 steps, improv/step: 0.244 (last = 0.0000), fitness=0.043835091
577.09 secs, 6222 evals, 6229 steps, improv/step: 0.244 (last = 0.2222), fitness=0.043835091
577.66 secs, 6228 evals, 6241 steps, improv/step: 0.243 (last = 0.0833), fitness=0.043835091
578.21 secs, 6234 evals, 6249 steps, improv/step: 0.243 (last = 0.1250), fitness=0.043835091
578.78 secs, 6240 evals, 6257 steps, improv/step: 0.243 (last = 0.1250), fitness=0.043835091
579.35 secs, 6246 evals, 6263 steps, improv/step: 0.243 (last = 0.1667), fitness=0.043835091
579.92 secs, 6252 evals, 6273 steps, improv/step: 0.243 (last = 0.1000), fitness=0.043835091
580.48 secs, 6258 evals, 6281 steps, improv/step: 0.243 (last = 0.1250), fitness=0.043835091
581.05 secs, 6264 evals, 6291 steps, improv/step: 0.242 (last = 0.0000), fitness=0.043835091
581.61 secs, 6270 evals, 6302 steps, improv/step: 0.242 (last = 0.0000), fitness=0.043835091
582.14 secs, 6276 evals, 6309 steps, improv/step: 0.242 (last = 0.2857), fitness=0.043835091
582.69 secs, 6282 evals, 6319 steps, improv/step: 0.242 (last = 0.2000), fitness=0.043835091
583.26 secs, 6288 evals, 6329 steps, improv/step: 0.242 (last = 0.1000), fitness=0.043835091
583.84 secs, 6294 evals, 6341 steps, improv/step: 0.241 (last = 0.0000), fitness=0.043835091
584.39 secs, 6300 evals, 6357 steps, improv/step: 0.241 (last = 0.0000), fitness=0.043835091
584.95 secs, 6306 evals, 6368 steps, improv/step: 0.240 (last = 0.0909), fitness=0.043835091
585.51 secs, 6312 evals, 6378 steps, improv/step: 0.240 (last = 0.0000), fitness=0.043835091
586.08 secs, 6318 evals, 6394 steps, improv/step: 0.239 (last = 0.0000), fitness=0.043835091
586.65 secs, 6324 evals, 6405 steps, improv/step: 0.239 (last = 0.0909), fitness=0.043835091
587.22 secs, 6330 evals, 6418 steps, improv/step: 0.239 (last = 0.0000), fitness=0.043835091
587.80 secs, 6336 evals, 6436 steps, improv/step: 0.238 (last = 0.0556), fitness=0.043835091
588.37 secs, 6342 evals, 6445 steps, improv/step: 0.238 (last = 0.0000), fitness=0.043835091
588.93 secs, 6348 evals, 6456 steps, improv/step: 0.237 (last = 0.0909), fitness=0.043835091
589.51 secs, 6354 evals, 6473 steps, improv/step: 0.237 (last = 0.0588), fitness=0.043835091
590.09 secs, 6360 evals, 6485 steps, improv/step: 0.237 (last = 0.0833), fitness=0.043835091
590.66 secs, 6366 evals, 6496 steps, improv/step: 0.237 (last = 0.1818), fitness=0.043835091
591.23 secs, 6372 evals, 6533 steps, improv/step: 0.236 (last = 0.0811), fitness=0.043835091
591.77 secs, 6378 evals, 6557 steps, improv/step: 0.235 (last = 0.0000), fitness=0.043835091
592.32 secs, 6384 evals, 6570 steps, improv/step: 0.235 (last = 0.1538), fitness=0.043835091
592.89 secs, 6390 evals, 6598 steps, improv/step: 0.234 (last = 0.0714), fitness=0.043835091
593.46 secs, 6396 evals, 6611 steps, improv/step: 0.234 (last = 0.1538), fitness=0.043835091

Optimization stopped after 6714 steps and 593.56 seconds
Termination reason: Too many steps (101) without any function evaluations (probably search has converged)
Steps per second = 11.31
Function evals per second = 10.78
Improvements/step = 0.14064
Total function evaluations = 6397


Best candidate found: [1.50003]

Fitness: 0.043835091

┌ 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
0.58 secs, 6 evals, 3 steps, fitness=34.538722022
1.18 secs, 12 evals, 6 steps, improv/step: 0.167 (last = 0.3333), fitness=34.538722022
1.84 secs, 19 evals, 10 steps, improv/step: 0.400 (last = 0.7500), fitness=34.538722022
2.41 secs, 25 evals, 13 steps, improv/step: 0.538 (last = 1.0000), fitness=34.538722022
3.09 secs, 32 evals, 17 steps, improv/step: 0.647 (last = 1.0000), fitness=34.538722022
3.78 secs, 39 evals, 21 steps, improv/step: 0.667 (last = 0.7500), fitness=34.538722022
4.40 secs, 45 evals, 24 steps, improv/step: 0.667 (last = 0.6667), fitness=34.538722022
4.93 secs, 51 evals, 29 steps, improv/step: 0.655 (last = 0.6000), fitness=34.538722022
5.58 secs, 58 evals, 33 steps, improv/step: 0.576 (last = 0.0000), fitness=34.538722022
6.16 secs, 64 evals, 37 steps, improv/step: 0.568 (last = 0.5000), fitness=34.538722022
6.66 secs, 69 evals, 40 steps, improv/step: 0.550 (last = 0.3333), fitness=34.538722022
7.32 secs, 76 evals, 44 steps, improv/step: 0.545 (last = 0.5000), fitness=34.538722022
7.90 secs, 82 evals, 47 steps, improv/step: 0.532 (last = 0.3333), fitness=34.538722022
8.57 secs, 89 evals, 51 steps, improv/step: 0.549 (last = 0.7500), fitness=34.538722022
9.16 secs, 95 evals, 54 steps, improv/step: 0.556 (last = 0.6667), fitness=34.538722022
9.83 secs, 102 evals, 58 steps, improv/step: 0.552 (last = 0.5000), fitness=34.538722022
10.41 secs, 108 evals, 62 steps, improv/step: 0.548 (last = 0.5000), fitness=34.538722022
11.05 secs, 115 evals, 67 steps, improv/step: 0.552 (last = 0.6000), fitness=34.538722022
11.62 secs, 121 evals, 72 steps, improv/step: 0.528 (last = 0.2000), fitness=34.538722022
12.21 secs, 127 evals, 76 steps, improv/step: 0.500 (last = 0.0000), fitness=34.538722022
12.87 secs, 134 evals, 80 steps, improv/step: 0.475 (last = 0.0000), fitness=34.538722022
13.47 secs, 140 evals, 84 steps, improv/step: 0.464 (last = 0.2500), fitness=34.538722022
14.05 secs, 146 evals, 87 steps, improv/step: 0.471 (last = 0.6667), fitness=34.538722022
14.62 secs, 152 evals, 91 steps, improv/step: 0.462 (last = 0.2500), fitness=34.538722022
15.20 secs, 158 evals, 95 steps, improv/step: 0.463 (last = 0.5000), fitness=34.538722022
15.79 secs, 164 evals, 99 steps, improv/step: 0.455 (last = 0.2500), fitness=34.538722022
16.38 secs, 170 evals, 104 steps, improv/step: 0.462 (last = 0.6000), fitness=20.709062298
16.93 secs, 176 evals, 109 steps, improv/step: 0.459 (last = 0.4000), fitness=20.709062298
17.48 secs, 182 evals, 113 steps, improv/step: 0.451 (last = 0.2500), fitness=20.709062298
18.05 secs, 188 evals, 118 steps, improv/step: 0.432 (last = 0.0000), fitness=20.709062298
18.63 secs, 194 evals, 123 steps, improv/step: 0.423 (last = 0.2000), fitness=20.709062298
19.20 secs, 200 evals, 128 steps, improv/step: 0.422 (last = 0.4000), fitness=20.709062298
19.80 secs, 206 evals, 133 steps, improv/step: 0.421 (last = 0.4000), fitness=20.709062298
20.38 secs, 212 evals, 137 steps, improv/step: 0.431 (last = 0.7500), fitness=3.356301171
20.94 secs, 218 evals, 141 steps, improv/step: 0.426 (last = 0.2500), fitness=3.356301171
21.51 secs, 224 evals, 145 steps, improv/step: 0.414 (last = 0.0000), fitness=3.356301171
22.09 secs, 230 evals, 151 steps, improv/step: 0.417 (last = 0.5000), fitness=3.356301171
22.78 secs, 237 evals, 157 steps, improv/step: 0.414 (last = 0.3333), fitness=3.356301171
23.32 secs, 243 evals, 162 steps, improv/step: 0.414 (last = 0.4000), fitness=3.356301171
23.86 secs, 249 evals, 167 steps, improv/step: 0.413 (last = 0.4000), fitness=3.356301171
24.55 secs, 256 evals, 173 steps, improv/step: 0.405 (last = 0.1667), fitness=3.356301171
25.13 secs, 262 evals, 177 steps, improv/step: 0.407 (last = 0.5000), fitness=3.356301171
25.71 secs, 268 evals, 181 steps, improv/step: 0.398 (last = 0.0000), fitness=3.356301171
26.30 secs, 274 evals, 186 steps, improv/step: 0.387 (last = 0.0000), fitness=3.356301171
26.86 secs, 280 evals, 191 steps, improv/step: 0.387 (last = 0.4000), fitness=1.181197565
27.53 secs, 287 evals, 196 steps, improv/step: 0.383 (last = 0.2000), fitness=1.181197565
28.21 secs, 294 evals, 200 steps, improv/step: 0.375 (last = 0.0000), fitness=1.181197565
28.80 secs, 300 evals, 204 steps, improv/step: 0.377 (last = 0.5000), fitness=1.181197565
29.43 secs, 307 evals, 210 steps, improv/step: 0.376 (last = 0.3333), fitness=1.181197565
30.08 secs, 314 evals, 214 steps, improv/step: 0.379 (last = 0.5000), fitness=1.181197565
30.66 secs, 320 evals, 220 steps, improv/step: 0.377 (last = 0.3333), fitness=1.181197565
31.24 secs, 326 evals, 225 steps, improv/step: 0.373 (last = 0.2000), fitness=1.181197565
31.81 secs, 332 evals, 230 steps, improv/step: 0.370 (last = 0.2000), fitness=1.181197565
32.47 secs, 339 evals, 235 steps, improv/step: 0.366 (last = 0.2000), fitness=1.181197565
33.06 secs, 345 evals, 241 steps, improv/step: 0.369 (last = 0.5000), fitness=1.181197565
33.63 secs, 351 evals, 247 steps, improv/step: 0.360 (last = 0.0000), fitness=1.181197565
34.19 secs, 357 evals, 251 steps, improv/step: 0.359 (last = 0.2500), fitness=1.181197565
34.78 secs, 363 evals, 257 steps, improv/step: 0.362 (last = 0.5000), fitness=1.181197565
35.35 secs, 369 evals, 262 steps, improv/step: 0.359 (last = 0.2000), fitness=1.181197565
35.91 secs, 375 evals, 266 steps, improv/step: 0.353 (last = 0.0000), fitness=1.181197565
36.49 secs, 381 evals, 271 steps, improv/step: 0.365 (last = 1.0000), fitness=0.399940848
37.07 secs, 387 evals, 276 steps, improv/step: 0.366 (last = 0.4000), fitness=0.399940848
37.66 secs, 393 evals, 281 steps, improv/step: 0.363 (last = 0.2000), fitness=0.399940848
38.23 secs, 399 evals, 287 steps, improv/step: 0.359 (last = 0.1667), fitness=0.399940848
38.76 secs, 405 evals, 293 steps, improv/step: 0.355 (last = 0.1667), fitness=0.399940848
39.34 secs, 411 evals, 298 steps, improv/step: 0.352 (last = 0.2000), fitness=0.399940848
39.90 secs, 417 evals, 304 steps, improv/step: 0.352 (last = 0.3333), fitness=0.399940848
40.48 secs, 423 evals, 309 steps, improv/step: 0.350 (last = 0.2000), fitness=0.399940848
41.07 secs, 429 evals, 314 steps, improv/step: 0.350 (last = 0.4000), fitness=0.399940848
41.62 secs, 435 evals, 319 steps, improv/step: 0.357 (last = 0.8000), fitness=0.399940848
42.16 secs, 441 evals, 325 steps, improv/step: 0.351 (last = 0.0000), fitness=0.399940848
42.74 secs, 447 evals, 331 steps, improv/step: 0.344 (last = 0.0000), fitness=0.399940848
43.25 secs, 452 evals, 336 steps, improv/step: 0.345 (last = 0.4000), fitness=0.399940848
43.83 secs, 458 evals, 342 steps, improv/step: 0.342 (last = 0.1667), fitness=0.399940848
44.41 secs, 464 evals, 348 steps, improv/step: 0.339 (last = 0.1667), fitness=0.399940848
45.00 secs, 470 evals, 354 steps, improv/step: 0.339 (last = 0.3333), fitness=0.399940848
45.58 secs, 476 evals, 359 steps, improv/step: 0.340 (last = 0.4000), fitness=0.399940848
46.15 secs, 482 evals, 365 steps, improv/step: 0.337 (last = 0.1667), fitness=0.399940848
46.73 secs, 488 evals, 371 steps, improv/step: 0.337 (last = 0.3333), fitness=0.399940848
47.30 secs, 494 evals, 377 steps, improv/step: 0.332 (last = 0.0000), fitness=0.399940848
47.84 secs, 500 evals, 383 steps, improv/step: 0.332 (last = 0.3333), fitness=0.399940848
48.39 secs, 506 evals, 389 steps, improv/step: 0.332 (last = 0.3333), fitness=0.399940848
48.97 secs, 512 evals, 395 steps, improv/step: 0.334 (last = 0.5000), fitness=0.399940848
49.55 secs, 518 evals, 401 steps, improv/step: 0.332 (last = 0.1667), fitness=0.399940848
50.14 secs, 524 evals, 407 steps, improv/step: 0.327 (last = 0.0000), fitness=0.399940848
50.72 secs, 530 evals, 412 steps, improv/step: 0.323 (last = 0.0000), fitness=0.399940848
51.29 secs, 536 evals, 418 steps, improv/step: 0.325 (last = 0.5000), fitness=0.399940848
51.87 secs, 542 evals, 424 steps, improv/step: 0.325 (last = 0.3333), fitness=0.399940848
52.54 secs, 549 evals, 430 steps, improv/step: 0.323 (last = 0.1667), fitness=0.399940848
53.12 secs, 555 evals, 436 steps, improv/step: 0.323 (last = 0.3333), fitness=0.399940848
53.68 secs, 561 evals, 442 steps, improv/step: 0.321 (last = 0.1667), fitness=0.399940848
54.27 secs, 567 evals, 448 steps, improv/step: 0.319 (last = 0.1667), fitness=0.399940848
54.83 secs, 573 evals, 454 steps, improv/step: 0.324 (last = 0.6667), fitness=0.399940848
55.41 secs, 579 evals, 460 steps, improv/step: 0.324 (last = 0.3333), fitness=0.399940848
56.00 secs, 585 evals, 466 steps, improv/step: 0.322 (last = 0.1667), fitness=0.399940848
56.59 secs, 591 evals, 472 steps, improv/step: 0.320 (last = 0.1667), fitness=0.399940848
57.18 secs, 597 evals, 478 steps, improv/step: 0.318 (last = 0.1667), fitness=0.399940848
57.72 secs, 603 evals, 484 steps, improv/step: 0.316 (last = 0.1667), fitness=0.399940848
58.28 secs, 609 evals, 490 steps, improv/step: 0.316 (last = 0.3333), fitness=0.399940848
58.87 secs, 615 evals, 496 steps, improv/step: 0.317 (last = 0.3333), fitness=0.399940848
59.62 secs, 620 evals, 501 steps, improv/step: 0.317 (last = 0.4000), fitness=0.399940848
60.20 secs, 626 evals, 507 steps, improv/step: 0.316 (last = 0.1667), fitness=0.399940848
60.78 secs, 632 evals, 513 steps, improv/step: 0.314 (last = 0.1667), fitness=0.399940848
61.35 secs, 638 evals, 519 steps, improv/step: 0.310 (last = 0.0000), fitness=0.399940848
61.92 secs, 644 evals, 525 steps, improv/step: 0.309 (last = 0.1667), fitness=0.399940848
62.50 secs, 650 evals, 531 steps, improv/step: 0.305 (last = 0.0000), fitness=0.399940848
63.09 secs, 656 evals, 537 steps, improv/step: 0.304 (last = 0.1667), fitness=0.399940848
63.66 secs, 662 evals, 543 steps, improv/step: 0.304 (last = 0.3333), fitness=0.399940848
64.22 secs, 668 evals, 548 steps, improv/step: 0.305 (last = 0.4000), fitness=0.399940848
64.79 secs, 674 evals, 553 steps, improv/step: 0.304 (last = 0.2000), fitness=0.399940848
65.39 secs, 680 evals, 559 steps, improv/step: 0.304 (last = 0.3333), fitness=0.399940848
65.97 secs, 686 evals, 565 steps, improv/step: 0.304 (last = 0.3333), fitness=0.399940848
66.51 secs, 692 evals, 571 steps, improv/step: 0.305 (last = 0.3333), fitness=0.399940848
67.06 secs, 698 evals, 577 steps, improv/step: 0.307 (last = 0.5000), fitness=0.399940848
67.60 secs, 704 evals, 583 steps, improv/step: 0.307 (last = 0.3333), fitness=0.399940848
68.15 secs, 710 evals, 589 steps, improv/step: 0.309 (last = 0.5000), fitness=0.399940848
68.73 secs, 716 evals, 595 steps, improv/step: 0.308 (last = 0.1667), fitness=0.399940848
69.33 secs, 722 evals, 601 steps, improv/step: 0.304 (last = 0.0000), fitness=0.399940848
69.89 secs, 728 evals, 607 steps, improv/step: 0.301 (last = 0.0000), fitness=0.399940848
70.47 secs, 734 evals, 613 steps, improv/step: 0.302 (last = 0.3333), fitness=0.180639002
71.04 secs, 740 evals, 619 steps, improv/step: 0.300 (last = 0.1667), fitness=0.180639002
71.61 secs, 746 evals, 624 steps, improv/step: 0.298 (last = 0.0000), fitness=0.180639002
72.18 secs, 752 evals, 629 steps, improv/step: 0.296 (last = 0.0000), fitness=0.180639002
72.75 secs, 758 evals, 635 steps, improv/step: 0.293 (last = 0.0000), fitness=0.180639002
73.32 secs, 764 evals, 641 steps, improv/step: 0.292 (last = 0.1667), fitness=0.180639002
73.91 secs, 770 evals, 646 steps, improv/step: 0.291 (last = 0.2000), fitness=0.180639002
74.48 secs, 776 evals, 652 steps, improv/step: 0.290 (last = 0.1667), fitness=0.180639002
75.06 secs, 782 evals, 658 steps, improv/step: 0.289 (last = 0.1667), fitness=0.180639002
75.64 secs, 788 evals, 664 steps, improv/step: 0.288 (last = 0.1667), fitness=0.180639002
76.22 secs, 794 evals, 670 steps, improv/step: 0.287 (last = 0.1667), fitness=0.101919187
76.79 secs, 800 evals, 676 steps, improv/step: 0.286 (last = 0.1667), fitness=0.101919187
77.36 secs, 806 evals, 682 steps, improv/step: 0.289 (last = 0.6667), fitness=0.101919187
77.91 secs, 812 evals, 688 steps, improv/step: 0.291 (last = 0.5000), fitness=0.101919187
78.48 secs, 818 evals, 694 steps, improv/step: 0.291 (last = 0.3333), fitness=0.101919187
79.04 secs, 824 evals, 700 steps, improv/step: 0.290 (last = 0.1667), fitness=0.101919187
79.62 secs, 830 evals, 706 steps, improv/step: 0.292 (last = 0.5000), fitness=0.101919187
80.19 secs, 836 evals, 712 steps, improv/step: 0.294 (last = 0.5000), fitness=0.101919187
80.77 secs, 842 evals, 718 steps, improv/step: 0.294 (last = 0.3333), fitness=0.101919187
81.35 secs, 848 evals, 724 steps, improv/step: 0.294 (last = 0.3333), fitness=0.101919187
81.92 secs, 854 evals, 729 steps, improv/step: 0.294 (last = 0.2000), fitness=0.101919187
82.51 secs, 860 evals, 735 steps, improv/step: 0.294 (last = 0.3333), fitness=0.101919187
83.10 secs, 866 evals, 741 steps, improv/step: 0.291 (last = 0.0000), fitness=0.101919187
83.68 secs, 872 evals, 747 steps, improv/step: 0.289 (last = 0.0000), fitness=0.101919187
84.26 secs, 878 evals, 753 steps, improv/step: 0.291 (last = 0.5000), fitness=0.101919187
84.85 secs, 884 evals, 759 steps, improv/step: 0.291 (last = 0.3333), fitness=0.101919187
85.43 secs, 890 evals, 765 steps, improv/step: 0.290 (last = 0.1667), fitness=0.101919187
86.03 secs, 896 evals, 771 steps, improv/step: 0.291 (last = 0.3333), fitness=0.101919187
86.61 secs, 902 evals, 777 steps, improv/step: 0.290 (last = 0.1667), fitness=0.101919187
87.16 secs, 908 evals, 783 steps, improv/step: 0.289 (last = 0.1667), fitness=0.101919187
87.69 secs, 914 evals, 789 steps, improv/step: 0.289 (last = 0.3333), fitness=0.101919187
88.23 secs, 920 evals, 795 steps, improv/step: 0.289 (last = 0.3333), fitness=0.101919187
88.77 secs, 926 evals, 801 steps, improv/step: 0.291 (last = 0.5000), fitness=0.060254330
89.31 secs, 932 evals, 807 steps, improv/step: 0.291 (last = 0.3333), fitness=0.060254330
89.89 secs, 938 evals, 813 steps, improv/step: 0.292 (last = 0.3333), fitness=0.060254330
90.48 secs, 944 evals, 819 steps, improv/step: 0.293 (last = 0.5000), fitness=0.060254330
91.06 secs, 950 evals, 825 steps, improv/step: 0.292 (last = 0.1667), fitness=0.060254330
91.63 secs, 956 evals, 831 steps, improv/step: 0.292 (last = 0.3333), fitness=0.060254330
92.19 secs, 962 evals, 837 steps, improv/step: 0.292 (last = 0.1667), fitness=0.060254330
92.75 secs, 968 evals, 843 steps, improv/step: 0.292 (last = 0.3333), fitness=0.060254330
93.33 secs, 974 evals, 849 steps, improv/step: 0.292 (last = 0.3333), fitness=0.060254330
93.90 secs, 980 evals, 855 steps, improv/step: 0.294 (last = 0.5000), fitness=0.060254330
94.48 secs, 986 evals, 861 steps, improv/step: 0.293 (last = 0.1667), fitness=0.060254330
95.07 secs, 992 evals, 867 steps, improv/step: 0.293 (last = 0.3333), fitness=0.060254330
95.66 secs, 997 evals, 872 steps, improv/step: 0.294 (last = 0.4000), fitness=0.060254330
96.23 secs, 1003 evals, 878 steps, improv/step: 0.295 (last = 0.5000), fitness=0.060254330
96.79 secs, 1009 evals, 884 steps, improv/step: 0.295 (last = 0.3333), fitness=0.060254330
97.34 secs, 1015 evals, 890 steps, improv/step: 0.296 (last = 0.3333), fitness=0.060254330
97.88 secs, 1021 evals, 896 steps, improv/step: 0.295 (last = 0.1667), fitness=0.060254330
98.46 secs, 1027 evals, 902 steps, improv/step: 0.293 (last = 0.0000), fitness=0.060254330
99.02 secs, 1033 evals, 908 steps, improv/step: 0.292 (last = 0.1667), fitness=0.060254330
99.58 secs, 1039 evals, 914 steps, improv/step: 0.290 (last = 0.0000), fitness=0.060254330
100.15 secs, 1045 evals, 920 steps, improv/step: 0.289 (last = 0.1667), fitness=0.060254330
100.70 secs, 1051 evals, 926 steps, improv/step: 0.288 (last = 0.1667), fitness=0.060254330
101.27 secs, 1057 evals, 932 steps, improv/step: 0.289 (last = 0.3333), fitness=0.060254330
101.87 secs, 1063 evals, 938 steps, improv/step: 0.288 (last = 0.1667), fitness=0.060254330
102.44 secs, 1069 evals, 944 steps, improv/step: 0.288 (last = 0.3333), fitness=0.051707202
103.02 secs, 1075 evals, 950 steps, improv/step: 0.287 (last = 0.1667), fitness=0.051707202
103.60 secs, 1081 evals, 956 steps, improv/step: 0.288 (last = 0.3333), fitness=0.051707202
104.18 secs, 1087 evals, 962 steps, improv/step: 0.288 (last = 0.3333), fitness=0.051707202
104.74 secs, 1093 evals, 968 steps, improv/step: 0.288 (last = 0.3333), fitness=0.051707202
105.27 secs, 1099 evals, 974 steps, improv/step: 0.289 (last = 0.3333), fitness=0.051707202
105.81 secs, 1105 evals, 980 steps, improv/step: 0.288 (last = 0.1667), fitness=0.051707202
106.36 secs, 1111 evals, 986 steps, improv/step: 0.286 (last = 0.0000), fitness=0.051707202
106.92 secs, 1117 evals, 992 steps, improv/step: 0.285 (last = 0.1667), fitness=0.051707202
107.48 secs, 1123 evals, 998 steps, improv/step: 0.287 (last = 0.5000), fitness=0.051707202
108.06 secs, 1129 evals, 1004 steps, improv/step: 0.287 (last = 0.3333), fitness=0.051707202
108.62 secs, 1135 evals, 1010 steps, improv/step: 0.285 (last = 0.0000), fitness=0.051707202
109.19 secs, 1141 evals, 1016 steps, improv/step: 0.285 (last = 0.3333), fitness=0.051707202
109.77 secs, 1147 evals, 1022 steps, improv/step: 0.287 (last = 0.5000), fitness=0.051707202
110.36 secs, 1153 evals, 1028 steps, improv/step: 0.286 (last = 0.1667), fitness=0.051707202
110.94 secs, 1159 evals, 1034 steps, improv/step: 0.285 (last = 0.1667), fitness=0.051707202
111.52 secs, 1165 evals, 1040 steps, improv/step: 0.285 (last = 0.1667), fitness=0.051707202
112.11 secs, 1171 evals, 1046 steps, improv/step: 0.286 (last = 0.5000), fitness=0.051707202
112.67 secs, 1177 evals, 1052 steps, improv/step: 0.286 (last = 0.3333), fitness=0.051707202
113.21 secs, 1183 evals, 1058 steps, improv/step: 0.286 (last = 0.3333), fitness=0.051707202
113.76 secs, 1189 evals, 1064 steps, improv/step: 0.285 (last = 0.0000), fitness=0.051707202
114.35 secs, 1195 evals, 1070 steps, improv/step: 0.285 (last = 0.3333), fitness=0.051707202
114.86 secs, 1200 evals, 1075 steps, improv/step: 0.285 (last = 0.2000), fitness=0.051707202
115.44 secs, 1206 evals, 1081 steps, improv/step: 0.284 (last = 0.1667), fitness=0.051707202
116.00 secs, 1212 evals, 1087 steps, improv/step: 0.284 (last = 0.3333), fitness=0.051707202
116.57 secs, 1218 evals, 1093 steps, improv/step: 0.285 (last = 0.3333), fitness=0.051707202
117.12 secs, 1224 evals, 1099 steps, improv/step: 0.285 (last = 0.3333), fitness=0.051707202
117.70 secs, 1230 evals, 1105 steps, improv/step: 0.284 (last = 0.1667), fitness=0.050121730
118.28 secs, 1236 evals, 1111 steps, improv/step: 0.284 (last = 0.1667), fitness=0.050121730
118.87 secs, 1242 evals, 1117 steps, improv/step: 0.284 (last = 0.3333), fitness=0.050121730
119.44 secs, 1248 evals, 1123 steps, improv/step: 0.282 (last = 0.0000), fitness=0.050121730
120.02 secs, 1254 evals, 1129 steps, improv/step: 0.282 (last = 0.1667), fitness=0.050121730
120.59 secs, 1260 evals, 1135 steps, improv/step: 0.281 (last = 0.1667), fitness=0.050121730
121.17 secs, 1266 evals, 1141 steps, improv/step: 0.280 (last = 0.1667), fitness=0.050121730
121.71 secs, 1272 evals, 1147 steps, improv/step: 0.279 (last = 0.0000), fitness=0.050121730
122.25 secs, 1278 evals, 1153 steps, improv/step: 0.280 (last = 0.5000), fitness=0.050121730
122.77 secs, 1284 evals, 1159 steps, improv/step: 0.279 (last = 0.0000), fitness=0.050121730
123.36 secs, 1290 evals, 1165 steps, improv/step: 0.279 (last = 0.3333), fitness=0.050121730
123.93 secs, 1296 evals, 1171 steps, improv/step: 0.279 (last = 0.3333), fitness=0.050121730
124.49 secs, 1302 evals, 1177 steps, improv/step: 0.280 (last = 0.3333), fitness=0.050121730
125.08 secs, 1308 evals, 1183 steps, improv/step: 0.280 (last = 0.3333), fitness=0.050121730
125.64 secs, 1314 evals, 1189 steps, improv/step: 0.279 (last = 0.1667), fitness=0.050121730
126.21 secs, 1320 evals, 1195 steps, improv/step: 0.279 (last = 0.3333), fitness=0.050121730
126.78 secs, 1326 evals, 1201 steps, improv/step: 0.281 (last = 0.5000), fitness=0.050121730
127.36 secs, 1332 evals, 1207 steps, improv/step: 0.280 (last = 0.1667), fitness=0.050121730
127.94 secs, 1338 evals, 1213 steps, improv/step: 0.282 (last = 0.6667), fitness=0.050121730
128.52 secs, 1344 evals, 1219 steps, improv/step: 0.281 (last = 0.1667), fitness=0.050121730
129.10 secs, 1350 evals, 1225 steps, improv/step: 0.282 (last = 0.5000), fitness=0.050121730
129.68 secs, 1356 evals, 1231 steps, improv/step: 0.284 (last = 0.5000), fitness=0.050121730
130.23 secs, 1362 evals, 1237 steps, improv/step: 0.285 (last = 0.5000), fitness=0.050121730
130.77 secs, 1368 evals, 1243 steps, improv/step: 0.285 (last = 0.3333), fitness=0.050121730
131.29 secs, 1374 evals, 1249 steps, improv/step: 0.285 (last = 0.3333), fitness=0.050121730
131.87 secs, 1380 evals, 1255 steps, improv/step: 0.284 (last = 0.1667), fitness=0.050121730
132.45 secs, 1386 evals, 1261 steps, improv/step: 0.287 (last = 0.8333), fitness=0.050121730
133.03 secs, 1392 evals, 1267 steps, improv/step: 0.287 (last = 0.1667), fitness=0.050121730
133.62 secs, 1398 evals, 1273 steps, improv/step: 0.288 (last = 0.5000), fitness=0.043846926
134.19 secs, 1404 evals, 1279 steps, improv/step: 0.287 (last = 0.1667), fitness=0.043846926
134.75 secs, 1410 evals, 1285 steps, improv/step: 0.288 (last = 0.5000), fitness=0.043846926
135.32 secs, 1416 evals, 1291 steps, improv/step: 0.288 (last = 0.3333), fitness=0.043846926
135.91 secs, 1422 evals, 1297 steps, improv/step: 0.287 (last = 0.0000), fitness=0.043846926
136.47 secs, 1428 evals, 1303 steps, improv/step: 0.288 (last = 0.5000), fitness=0.043846926
137.04 secs, 1434 evals, 1309 steps, improv/step: 0.287 (last = 0.1667), fitness=0.043846926
137.62 secs, 1440 evals, 1315 steps, improv/step: 0.287 (last = 0.1667), fitness=0.043846926
138.20 secs, 1446 evals, 1321 steps, improv/step: 0.288 (last = 0.5000), fitness=0.043846926
138.76 secs, 1452 evals, 1327 steps, improv/step: 0.287 (last = 0.1667), fitness=0.043846926
139.29 secs, 1458 evals, 1333 steps, improv/step: 0.289 (last = 0.6667), fitness=0.043846926
139.84 secs, 1464 evals, 1339 steps, improv/step: 0.288 (last = 0.1667), fitness=0.043846926
140.43 secs, 1470 evals, 1345 steps, improv/step: 0.288 (last = 0.3333), fitness=0.043846926
140.99 secs, 1476 evals, 1351 steps, improv/step: 0.288 (last = 0.1667), fitness=0.043846926
141.55 secs, 1482 evals, 1357 steps, improv/step: 0.287 (last = 0.1667), fitness=0.043846926
142.13 secs, 1488 evals, 1363 steps, improv/step: 0.287 (last = 0.1667), fitness=0.043846926
142.70 secs, 1494 evals, 1369 steps, improv/step: 0.287 (last = 0.3333), fitness=0.043846926
143.28 secs, 1500 evals, 1375 steps, improv/step: 0.288 (last = 0.5000), fitness=0.043846926
143.85 secs, 1506 evals, 1381 steps, improv/step: 0.288 (last = 0.3333), fitness=0.043846926
144.43 secs, 1512 evals, 1387 steps, improv/step: 0.288 (last = 0.1667), fitness=0.043846926
145.01 secs, 1518 evals, 1393 steps, improv/step: 0.288 (last = 0.3333), fitness=0.043846926
145.59 secs, 1524 evals, 1399 steps, improv/step: 0.289 (last = 0.5000), fitness=0.043846926
146.17 secs, 1530 evals, 1405 steps, improv/step: 0.288 (last = 0.1667), fitness=0.043846926
146.75 secs, 1536 evals, 1411 steps, improv/step: 0.290 (last = 0.6667), fitness=0.043779660
147.28 secs, 1542 evals, 1417 steps, improv/step: 0.290 (last = 0.3333), fitness=0.043779660
147.82 secs, 1548 evals, 1423 steps, improv/step: 0.292 (last = 0.6667), fitness=0.043779660
148.35 secs, 1554 evals, 1429 steps, improv/step: 0.293 (last = 0.5000), fitness=0.043779660
148.93 secs, 1560 evals, 1435 steps, improv/step: 0.293 (last = 0.3333), fitness=0.043779660
149.51 secs, 1566 evals, 1441 steps, improv/step: 0.294 (last = 0.6667), fitness=0.043779660
150.09 secs, 1572 evals, 1447 steps, improv/step: 0.296 (last = 0.6667), fitness=0.043779660
150.67 secs, 1578 evals, 1453 steps, improv/step: 0.295 (last = 0.1667), fitness=0.043779660
151.25 secs, 1584 evals, 1459 steps, improv/step: 0.295 (last = 0.3333), fitness=0.043779660
151.83 secs, 1590 evals, 1465 steps, improv/step: 0.295 (last = 0.1667), fitness=0.043779660
152.40 secs, 1596 evals, 1471 steps, improv/step: 0.294 (last = 0.1667), fitness=0.043779660
152.96 secs, 1602 evals, 1477 steps, improv/step: 0.293 (last = 0.0000), fitness=0.043779660
153.53 secs, 1608 evals, 1483 steps, improv/step: 0.293 (last = 0.3333), fitness=0.043779660
154.09 secs, 1614 evals, 1489 steps, improv/step: 0.294 (last = 0.5000), fitness=0.043779660
154.66 secs, 1620 evals, 1495 steps, improv/step: 0.294 (last = 0.1667), fitness=0.043779660
155.21 secs, 1626 evals, 1501 steps, improv/step: 0.292 (last = 0.0000), fitness=0.043779660
155.74 secs, 1632 evals, 1507 steps, improv/step: 0.292 (last = 0.1667), fitness=0.043779660
156.29 secs, 1638 evals, 1513 steps, improv/step: 0.291 (last = 0.1667), fitness=0.043779660
156.87 secs, 1644 evals, 1519 steps, improv/step: 0.291 (last = 0.1667), fitness=0.043779660
157.46 secs, 1650 evals, 1525 steps, improv/step: 0.291 (last = 0.3333), fitness=0.043779660
158.04 secs, 1656 evals, 1531 steps, improv/step: 0.290 (last = 0.0000), fitness=0.043779660
158.62 secs, 1662 evals, 1537 steps, improv/step: 0.290 (last = 0.1667), fitness=0.043779660
159.21 secs, 1668 evals, 1543 steps, improv/step: 0.290 (last = 0.5000), fitness=0.043779660
159.78 secs, 1674 evals, 1549 steps, improv/step: 0.291 (last = 0.5000), fitness=0.043779660
160.35 secs, 1680 evals, 1555 steps, improv/step: 0.291 (last = 0.1667), fitness=0.043779660
160.91 secs, 1686 evals, 1561 steps, improv/step: 0.292 (last = 0.6667), fitness=0.043779660
161.50 secs, 1692 evals, 1567 steps, improv/step: 0.292 (last = 0.3333), fitness=0.043779660
162.07 secs, 1698 evals, 1573 steps, improv/step: 0.292 (last = 0.1667), fitness=0.043779660
162.63 secs, 1704 evals, 1579 steps, improv/step: 0.291 (last = 0.1667), fitness=0.043779660
163.17 secs, 1710 evals, 1585 steps, improv/step: 0.290 (last = 0.0000), fitness=0.043779660
163.76 secs, 1716 evals, 1591 steps, improv/step: 0.290 (last = 0.3333), fitness=0.043779660
164.27 secs, 1721 evals, 1596 steps, improv/step: 0.290 (last = 0.2000), fitness=0.043779660
164.85 secs, 1727 evals, 1602 steps, improv/step: 0.291 (last = 0.5000), fitness=0.043779660
165.45 secs, 1733 evals, 1608 steps, improv/step: 0.290 (last = 0.0000), fitness=0.043779660
165.98 secs, 1738 evals, 1613 steps, improv/step: 0.290 (last = 0.2000), fitness=0.043779660
166.57 secs, 1744 evals, 1619 steps, improv/step: 0.290 (last = 0.3333), fitness=0.043779660
167.15 secs, 1750 evals, 1625 steps, improv/step: 0.290 (last = 0.3333), fitness=0.043779660
167.71 secs, 1756 evals, 1631 steps, improv/step: 0.290 (last = 0.3333), fitness=0.043779660
168.28 secs, 1762 evals, 1637 steps, improv/step: 0.291 (last = 0.5000), fitness=0.043779660
168.84 secs, 1768 evals, 1643 steps, improv/step: 0.290 (last = 0.1667), fitness=0.043779660
169.40 secs, 1774 evals, 1649 steps, improv/step: 0.291 (last = 0.5000), fitness=0.043779660
169.97 secs, 1780 evals, 1655 steps, improv/step: 0.291 (last = 0.3333), fitness=0.043779660
170.50 secs, 1786 evals, 1661 steps, improv/step: 0.292 (last = 0.5000), fitness=0.043779660
171.04 secs, 1792 evals, 1667 steps, improv/step: 0.292 (last = 0.3333), fitness=0.043779660
171.57 secs, 1798 evals, 1673 steps, improv/step: 0.292 (last = 0.1667), fitness=0.043779660
172.16 secs, 1804 evals, 1679 steps, improv/step: 0.291 (last = 0.1667), fitness=0.043779660
172.73 secs, 1810 evals, 1685 steps, improv/step: 0.290 (last = 0.0000), fitness=0.043779660
173.30 secs, 1816 evals, 1691 steps, improv/step: 0.290 (last = 0.1667), fitness=0.043779660
173.87 secs, 1822 evals, 1697 steps, improv/step: 0.292 (last = 0.8333), fitness=0.043779660
174.45 secs, 1828 evals, 1703 steps, improv/step: 0.291 (last = 0.1667), fitness=0.043779660
175.03 secs, 1834 evals, 1709 steps, improv/step: 0.291 (last = 0.1667), fitness=0.043779660
175.58 secs, 1840 evals, 1715 steps, improv/step: 0.291 (last = 0.3333), fitness=0.043779660
176.13 secs, 1846 evals, 1721 steps, improv/step: 0.291 (last = 0.1667), fitness=0.043779660
176.70 secs, 1852 evals, 1727 steps, improv/step: 0.291 (last = 0.5000), fitness=0.043779660
177.24 secs, 1858 evals, 1733 steps, improv/step: 0.292 (last = 0.5000), fitness=0.043779660
177.81 secs, 1864 evals, 1739 steps, improv/step: 0.292 (last = 0.3333), fitness=0.043779660
178.36 secs, 1870 evals, 1745 steps, improv/step: 0.293 (last = 0.5000), fitness=0.043779660
178.88 secs, 1876 evals, 1751 steps, improv/step: 0.292 (last = 0.1667), fitness=0.043779660
179.43 secs, 1882 evals, 1757 steps, improv/step: 0.293 (last = 0.3333), fitness=0.043779660
179.99 secs, 1888 evals, 1763 steps, improv/step: 0.292 (last = 0.1667), fitness=0.043779660
180.57 secs, 1894 evals, 1769 steps, improv/step: 0.292 (last = 0.1667), fitness=0.043779660
181.11 secs, 1900 evals, 1775 steps, improv/step: 0.291 (last = 0.1667), fitness=0.043779660
181.66 secs, 1906 evals, 1781 steps, improv/step: 0.290 (last = 0.0000), fitness=0.043779660
182.23 secs, 1912 evals, 1787 steps, improv/step: 0.290 (last = 0.3333), fitness=0.043779660
182.79 secs, 1918 evals, 1793 steps, improv/step: 0.291 (last = 0.3333), fitness=0.043779660
183.36 secs, 1924 evals, 1799 steps, improv/step: 0.291 (last = 0.5000), fitness=0.043779660
183.93 secs, 1930 evals, 1805 steps, improv/step: 0.291 (last = 0.1667), fitness=0.043779660
184.50 secs, 1936 evals, 1811 steps, improv/step: 0.292 (last = 0.6667), fitness=0.043779660
185.09 secs, 1942 evals, 1817 steps, improv/step: 0.292 (last = 0.1667), fitness=0.043779660
185.66 secs, 1948 evals, 1823 steps, improv/step: 0.292 (last = 0.5000), fitness=0.043779660
186.21 secs, 1954 evals, 1829 steps, improv/step: 0.293 (last = 0.5000), fitness=0.043779660
186.76 secs, 1960 evals, 1835 steps, improv/step: 0.295 (last = 0.8333), fitness=0.043779660
187.34 secs, 1966 evals, 1841 steps, improv/step: 0.296 (last = 0.6667), fitness=0.043779660
187.92 secs, 1972 evals, 1847 steps, improv/step: 0.297 (last = 0.5000), fitness=0.043779660
188.50 secs, 1978 evals, 1853 steps, improv/step: 0.296 (last = 0.1667), fitness=0.043779660
189.09 secs, 1984 evals, 1859 steps, improv/step: 0.297 (last = 0.5000), fitness=0.043779660
189.66 secs, 1990 evals, 1865 steps, improv/step: 0.297 (last = 0.1667), fitness=0.043779660
190.21 secs, 1996 evals, 1871 steps, improv/step: 0.297 (last = 0.5000), fitness=0.043779660
190.77 secs, 2002 evals, 1877 steps, improv/step: 0.297 (last = 0.1667), fitness=0.043779660
191.34 secs, 2008 evals, 1883 steps, improv/step: 0.297 (last = 0.3333), fitness=0.043779660
191.91 secs, 2014 evals, 1889 steps, improv/step: 0.296 (last = 0.0000), fitness=0.043779660
192.49 secs, 2020 evals, 1895 steps, improv/step: 0.295 (last = 0.0000), fitness=0.043779660
193.07 secs, 2026 evals, 1901 steps, improv/step: 0.295 (last = 0.1667), fitness=0.043779660
193.62 secs, 2032 evals, 1907 steps, improv/step: 0.294 (last = 0.0000), fitness=0.043779660
194.16 secs, 2038 evals, 1913 steps, improv/step: 0.293 (last = 0.1667), fitness=0.043779660
194.70 secs, 2044 evals, 1919 steps, improv/step: 0.293 (last = 0.3333), fitness=0.043779660
195.28 secs, 2050 evals, 1925 steps, improv/step: 0.292 (last = 0.0000), fitness=0.043779660
195.87 secs, 2056 evals, 1931 steps, improv/step: 0.293 (last = 0.3333), fitness=0.043779660
196.45 secs, 2062 evals, 1937 steps, improv/step: 0.293 (last = 0.3333), fitness=0.043779660
197.03 secs, 2068 evals, 1943 steps, improv/step: 0.293 (last = 0.3333), fitness=0.043779660
197.62 secs, 2074 evals, 1949 steps, improv/step: 0.293 (last = 0.5000), fitness=0.043779660
198.18 secs, 2080 evals, 1955 steps, improv/step: 0.293 (last = 0.1667), fitness=0.043779660
198.74 secs, 2086 evals, 1961 steps, improv/step: 0.293 (last = 0.1667), fitness=0.043779660
199.31 secs, 2092 evals, 1967 steps, improv/step: 0.293 (last = 0.5000), fitness=0.043779660
199.88 secs, 2098 evals, 1973 steps, improv/step: 0.294 (last = 0.5000), fitness=0.043779660
200.46 secs, 2104 evals, 1979 steps, improv/step: 0.295 (last = 0.5000), fitness=0.043779660
201.06 secs, 2110 evals, 1985 steps, improv/step: 0.294 (last = 0.0000), fitness=0.043779660
201.64 secs, 2116 evals, 1991 steps, improv/step: 0.293 (last = 0.0000), fitness=0.043779660
202.23 secs, 2122 evals, 1997 steps, improv/step: 0.293 (last = 0.5000), fitness=0.043779660
202.82 secs, 2128 evals, 2003 steps, improv/step: 0.294 (last = 0.3333), fitness=0.043779660
203.40 secs, 2134 evals, 2009 steps, improv/step: 0.294 (last = 0.5000), fitness=0.043779660
203.97 secs, 2140 evals, 2015 steps, improv/step: 0.294 (last = 0.1667), fitness=0.043779660
204.55 secs, 2146 evals, 2021 steps, improv/step: 0.293 (last = 0.0000), fitness=0.043779660
205.12 secs, 2152 evals, 2027 steps, improv/step: 0.293 (last = 0.3333), fitness=0.043779660
205.70 secs, 2158 evals, 2033 steps, improv/step: 0.293 (last = 0.3333), fitness=0.043779660
206.22 secs, 2163 evals, 2038 steps, improv/step: 0.293 (last = 0.4000), fitness=0.043779660
206.81 secs, 2169 evals, 2044 steps, improv/step: 0.294 (last = 0.5000), fitness=0.043779660
207.39 secs, 2173 evals, 2048 steps, improv/step: 0.294 (last = 0.2500), fitness=0.043779660
207.92 secs, 2179 evals, 2054 steps, improv/step: 0.294 (last = 0.1667), fitness=0.043779660
208.56 secs, 2185 evals, 2060 steps, improv/step: 0.293 (last = 0.0000), fitness=0.043779660
209.13 secs, 2191 evals, 2066 steps, improv/step: 0.293 (last = 0.3333), fitness=0.043779660
209.68 secs, 2197 evals, 2072 steps, improv/step: 0.292 (last = 0.1667), fitness=0.043779660
210.24 secs, 2203 evals, 2078 steps, improv/step: 0.292 (last = 0.1667), fitness=0.043779660
210.81 secs, 2209 evals, 2084 steps, improv/step: 0.292 (last = 0.1667), fitness=0.043779660
211.39 secs, 2215 evals, 2090 steps, improv/step: 0.292 (last = 0.3333), fitness=0.043779660
211.97 secs, 2221 evals, 2096 steps, improv/step: 0.292 (last = 0.3333), fitness=0.043779660
212.55 secs, 2227 evals, 2102 steps, improv/step: 0.292 (last = 0.3333), fitness=0.043779660
213.12 secs, 2233 evals, 2108 steps, improv/step: 0.292 (last = 0.1667), fitness=0.043779660
213.69 secs, 2239 evals, 2114 steps, improv/step: 0.291 (last = 0.0000), fitness=0.043779660
214.26 secs, 2245 evals, 2120 steps, improv/step: 0.292 (last = 0.5000), fitness=0.043779660
214.82 secs, 2251 evals, 2126 steps, improv/step: 0.292 (last = 0.3333), fitness=0.043779660
215.35 secs, 2257 evals, 2132 steps, improv/step: 0.291 (last = 0.1667), fitness=0.043779660
215.89 secs, 2263 evals, 2138 steps, improv/step: 0.291 (last = 0.1667), fitness=0.043779660
216.49 secs, 2269 evals, 2144 steps, improv/step: 0.291 (last = 0.3333), fitness=0.043779660
217.08 secs, 2275 evals, 2150 steps, improv/step: 0.291 (last = 0.3333), fitness=0.043779660
217.65 secs, 2281 evals, 2156 steps, improv/step: 0.291 (last = 0.1667), fitness=0.043779660
218.22 secs, 2287 evals, 2162 steps, improv/step: 0.292 (last = 0.6667), fitness=0.043779660
218.79 secs, 2293 evals, 2168 steps, improv/step: 0.292 (last = 0.1667), fitness=0.043779660
219.39 secs, 2299 evals, 2174 steps, improv/step: 0.291 (last = 0.1667), fitness=0.043779660
219.97 secs, 2305 evals, 2180 steps, improv/step: 0.291 (last = 0.3333), fitness=0.043779660
220.55 secs, 2311 evals, 2186 steps, improv/step: 0.291 (last = 0.1667), fitness=0.043779660
221.12 secs, 2317 evals, 2192 steps, improv/step: 0.291 (last = 0.1667), fitness=0.043779660
221.71 secs, 2323 evals, 2198 steps, improv/step: 0.291 (last = 0.3333), fitness=0.043779660
222.28 secs, 2329 evals, 2204 steps, improv/step: 0.291 (last = 0.5000), fitness=0.043778181
222.82 secs, 2335 evals, 2210 steps, improv/step: 0.291 (last = 0.3333), fitness=0.043778181
223.36 secs, 2341 evals, 2216 steps, improv/step: 0.291 (last = 0.1667), fitness=0.043778181
223.95 secs, 2347 evals, 2222 steps, improv/step: 0.291 (last = 0.1667), fitness=0.043778181
224.53 secs, 2353 evals, 2228 steps, improv/step: 0.291 (last = 0.3333), fitness=0.043778181
225.10 secs, 2359 evals, 2234 steps, improv/step: 0.291 (last = 0.3333), fitness=0.043778181
225.66 secs, 2365 evals, 2240 steps, improv/step: 0.291 (last = 0.1667), fitness=0.043778181
226.21 secs, 2371 evals, 2246 steps, improv/step: 0.291 (last = 0.3333), fitness=0.043778181
226.78 secs, 2377 evals, 2252 steps, improv/step: 0.290 (last = 0.1667), fitness=0.043778181
227.35 secs, 2383 evals, 2258 steps, improv/step: 0.291 (last = 0.6667), fitness=0.043778181
227.94 secs, 2389 evals, 2264 steps, improv/step: 0.291 (last = 0.0000), fitness=0.043778181
228.48 secs, 2395 evals, 2270 steps, improv/step: 0.291 (last = 0.3333), fitness=0.043778181
229.00 secs, 2401 evals, 2276 steps, improv/step: 0.290 (last = 0.1667), fitness=0.043778181
229.56 secs, 2407 evals, 2282 steps, improv/step: 0.291 (last = 0.3333), fitness=0.043778181
230.15 secs, 2413 evals, 2288 steps, improv/step: 0.290 (last = 0.1667), fitness=0.043777289
230.73 secs, 2419 evals, 2294 steps, improv/step: 0.291 (last = 0.5000), fitness=0.043777289
231.31 secs, 2425 evals, 2300 steps, improv/step: 0.290 (last = 0.1667), fitness=0.043777289
231.89 secs, 2431 evals, 2306 steps, improv/step: 0.291 (last = 0.3333), fitness=0.043777289
232.48 secs, 2437 evals, 2312 steps, improv/step: 0.290 (last = 0.1667), fitness=0.043777289
233.04 secs, 2443 evals, 2318 steps, improv/step: 0.290 (last = 0.1667), fitness=0.043777289
233.59 secs, 2449 evals, 2325 steps, improv/step: 0.289 (last = 0.1429), fitness=0.043777289
234.17 secs, 2455 evals, 2331 steps, improv/step: 0.289 (last = 0.0000), fitness=0.043777289
234.72 secs, 2461 evals, 2337 steps, improv/step: 0.289 (last = 0.3333), fitness=0.043777289
235.29 secs, 2467 evals, 2343 steps, improv/step: 0.289 (last = 0.1667), fitness=0.043777289
235.86 secs, 2473 evals, 2349 steps, improv/step: 0.288 (last = 0.0000), fitness=0.043777289
236.42 secs, 2479 evals, 2355 steps, improv/step: 0.288 (last = 0.3333), fitness=0.043777289
236.99 secs, 2485 evals, 2361 steps, improv/step: 0.288 (last = 0.3333), fitness=0.043777289
237.52 secs, 2491 evals, 2367 steps, improv/step: 0.288 (last = 0.3333), fitness=0.043777289
238.05 secs, 2497 evals, 2373 steps, improv/step: 0.288 (last = 0.3333), fitness=0.043777289
238.62 secs, 2503 evals, 2379 steps, improv/step: 0.288 (last = 0.1667), fitness=0.043777289
239.19 secs, 2509 evals, 2385 steps, improv/step: 0.289 (last = 0.6667), fitness=0.043777289
239.76 secs, 2515 evals, 2391 steps, improv/step: 0.288 (last = 0.0000), fitness=0.043777289
240.32 secs, 2521 evals, 2397 steps, improv/step: 0.288 (last = 0.3333), fitness=0.043777289
240.88 secs, 2527 evals, 2403 steps, improv/step: 0.289 (last = 0.5000), fitness=0.043777289
241.44 secs, 2533 evals, 2409 steps, improv/step: 0.289 (last = 0.3333), fitness=0.043777289
242.01 secs, 2539 evals, 2415 steps, improv/step: 0.289 (last = 0.1667), fitness=0.043777289
242.59 secs, 2545 evals, 2421 steps, improv/step: 0.288 (last = 0.1667), fitness=0.043777289
243.17 secs, 2551 evals, 2427 steps, improv/step: 0.288 (last = 0.3333), fitness=0.043777289
243.75 secs, 2557 evals, 2433 steps, improv/step: 0.289 (last = 0.5000), fitness=0.043777289
244.32 secs, 2563 evals, 2439 steps, improv/step: 0.289 (last = 0.3333), fitness=0.043777289
244.86 secs, 2569 evals, 2445 steps, improv/step: 0.289 (last = 0.3333), fitness=0.043777289
245.39 secs, 2575 evals, 2451 steps, improv/step: 0.290 (last = 0.5000), fitness=0.043777289
245.92 secs, 2581 evals, 2457 steps, improv/step: 0.290 (last = 0.3333), fitness=0.043777289
246.50 secs, 2587 evals, 2463 steps, improv/step: 0.290 (last = 0.3333), fitness=0.043777289
247.08 secs, 2593 evals, 2469 steps, improv/step: 0.290 (last = 0.1667), fitness=0.043777289
247.66 secs, 2599 evals, 2475 steps, improv/step: 0.289 (last = 0.0000), fitness=0.043777289
248.24 secs, 2605 evals, 2481 steps, improv/step: 0.288 (last = 0.0000), fitness=0.043777289
248.80 secs, 2611 evals, 2487 steps, improv/step: 0.289 (last = 0.6667), fitness=0.043777289
249.36 secs, 2617 evals, 2493 steps, improv/step: 0.288 (last = 0.0000), fitness=0.043777289
249.92 secs, 2623 evals, 2499 steps, improv/step: 0.288 (last = 0.1667), fitness=0.043777289
250.47 secs, 2629 evals, 2505 steps, improv/step: 0.288 (last = 0.3333), fitness=0.043777153
251.05 secs, 2635 evals, 2511 steps, improv/step: 0.288 (last = 0.1667), fitness=0.043777153
251.63 secs, 2641 evals, 2517 steps, improv/step: 0.288 (last = 0.3333), fitness=0.043777153
252.21 secs, 2647 evals, 2523 steps, improv/step: 0.288 (last = 0.3333), fitness=0.043777153
252.75 secs, 2653 evals, 2529 steps, improv/step: 0.289 (last = 0.5000), fitness=0.043777153
253.31 secs, 2659 evals, 2535 steps, improv/step: 0.290 (last = 0.6667), fitness=0.043777153
253.90 secs, 2665 evals, 2541 steps, improv/step: 0.289 (last = 0.1667), fitness=0.043777153
254.47 secs, 2671 evals, 2547 steps, improv/step: 0.289 (last = 0.3333), fitness=0.043777153
255.03 secs, 2677 evals, 2553 steps, improv/step: 0.289 (last = 0.3333), fitness=0.043777153
255.58 secs, 2683 evals, 2559 steps, improv/step: 0.290 (last = 0.3333), fitness=0.043777153
256.15 secs, 2689 evals, 2565 steps, improv/step: 0.290 (last = 0.3333), fitness=0.043777153
256.70 secs, 2695 evals, 2571 steps, improv/step: 0.289 (last = 0.1667), fitness=0.043777153
257.23 secs, 2701 evals, 2577 steps, improv/step: 0.289 (last = 0.3333), fitness=0.043777153
257.77 secs, 2707 evals, 2583 steps, improv/step: 0.289 (last = 0.1667), fitness=0.043777153
258.33 secs, 2713 evals, 2589 steps, improv/step: 0.289 (last = 0.1667), fitness=0.043777153
258.89 secs, 2719 evals, 2595 steps, improv/step: 0.289 (last = 0.1667), fitness=0.043777153
259.44 secs, 2725 evals, 2601 steps, improv/step: 0.288 (last = 0.1667), fitness=0.043777153
260.01 secs, 2731 evals, 2607 steps, improv/step: 0.288 (last = 0.0000), fitness=0.043777153
260.58 secs, 2737 evals, 2613 steps, improv/step: 0.288 (last = 0.3333), fitness=0.043777153
261.09 secs, 2742 evals, 2618 steps, improv/step: 0.288 (last = 0.4000), fitness=0.043777153
261.67 secs, 2748 evals, 2624 steps, improv/step: 0.288 (last = 0.3333), fitness=0.043777153
262.24 secs, 2754 evals, 2630 steps, improv/step: 0.288 (last = 0.1667), fitness=0.043777153
262.81 secs, 2760 evals, 2636 steps, improv/step: 0.288 (last = 0.1667), fitness=0.043777153
263.38 secs, 2766 evals, 2642 steps, improv/step: 0.289 (last = 0.8333), fitness=0.043777153
263.96 secs, 2772 evals, 2648 steps, improv/step: 0.289 (last = 0.1667), fitness=0.043777112
264.49 secs, 2778 evals, 2654 steps, improv/step: 0.288 (last = 0.0000), fitness=0.043777112
265.01 secs, 2784 evals, 2660 steps, improv/step: 0.288 (last = 0.3333), fitness=0.043777112
265.56 secs, 2790 evals, 2666 steps, improv/step: 0.289 (last = 0.6667), fitness=0.043777112
266.14 secs, 2796 evals, 2672 steps, improv/step: 0.289 (last = 0.3333), fitness=0.043777112
266.72 secs, 2802 evals, 2678 steps, improv/step: 0.288 (last = 0.0000), fitness=0.043777112
267.30 secs, 2808 evals, 2684 steps, improv/step: 0.288 (last = 0.3333), fitness=0.043777112
267.88 secs, 2814 evals, 2690 steps, improv/step: 0.289 (last = 0.6667), fitness=0.043777097
268.47 secs, 2820 evals, 2696 steps, improv/step: 0.289 (last = 0.3333), fitness=0.043777097
269.03 secs, 2826 evals, 2702 steps, improv/step: 0.289 (last = 0.3333), fitness=0.043777097
269.57 secs, 2832 evals, 2708 steps, improv/step: 0.290 (last = 0.5000), fitness=0.043777097
270.14 secs, 2838 evals, 2714 steps, improv/step: 0.290 (last = 0.5000), fitness=0.043777097
270.69 secs, 2844 evals, 2720 steps, improv/step: 0.290 (last = 0.1667), fitness=0.043777097
271.27 secs, 2850 evals, 2726 steps, improv/step: 0.290 (last = 0.3333), fitness=0.043777097
271.84 secs, 2856 evals, 2732 steps, improv/step: 0.290 (last = 0.3333), fitness=0.043777097
272.41 secs, 2862 evals, 2738 steps, improv/step: 0.290 (last = 0.0000), fitness=0.043777097
272.99 secs, 2868 evals, 2744 steps, improv/step: 0.290 (last = 0.5000), fitness=0.043777097
273.54 secs, 2874 evals, 2750 steps, improv/step: 0.289 (last = 0.0000), fitness=0.043777097
274.07 secs, 2880 evals, 2756 steps, improv/step: 0.289 (last = 0.1667), fitness=0.043777097
274.60 secs, 2886 evals, 2762 steps, improv/step: 0.289 (last = 0.1667), fitness=0.043777097
275.16 secs, 2892 evals, 2768 steps, improv/step: 0.289 (last = 0.5000), fitness=0.043777097
275.74 secs, 2898 evals, 2774 steps, improv/step: 0.289 (last = 0.0000), fitness=0.043777097
276.31 secs, 2904 evals, 2780 steps, improv/step: 0.289 (last = 0.5000), fitness=0.043777097
276.90 secs, 2910 evals, 2786 steps, improv/step: 0.289 (last = 0.0000), fitness=0.043777097
277.48 secs, 2916 evals, 2792 steps, improv/step: 0.289 (last = 0.5000), fitness=0.043777097
278.06 secs, 2922 evals, 2798 steps, improv/step: 0.289 (last = 0.3333), fitness=0.043777097
278.64 secs, 2928 evals, 2804 steps, improv/step: 0.289 (last = 0.1667), fitness=0.043777097
279.20 secs, 2934 evals, 2810 steps, improv/step: 0.288 (last = 0.0000), fitness=0.043777097
279.75 secs, 2940 evals, 2816 steps, improv/step: 0.288 (last = 0.1667), fitness=0.043777097
280.31 secs, 2946 evals, 2822 steps, improv/step: 0.288 (last = 0.3333), fitness=0.043777097
280.88 secs, 2952 evals, 2828 steps, improv/step: 0.288 (last = 0.1667), fitness=0.043777097
281.42 secs, 2958 evals, 2834 steps, improv/step: 0.288 (last = 0.3333), fitness=0.043777097
281.95 secs, 2964 evals, 2840 steps, improv/step: 0.288 (last = 0.5000), fitness=0.043777097
282.47 secs, 2970 evals, 2846 steps, improv/step: 0.289 (last = 0.6667), fitness=0.043777097
283.06 secs, 2976 evals, 2852 steps, improv/step: 0.289 (last = 0.1667), fitness=0.043777097
283.64 secs, 2982 evals, 2858 steps, improv/step: 0.288 (last = 0.0000), fitness=0.043777097
284.19 secs, 2988 evals, 2864 steps, improv/step: 0.289 (last = 0.5000), fitness=0.043777097
284.74 secs, 2994 evals, 2870 steps, improv/step: 0.288 (last = 0.0000), fitness=0.043777097
285.29 secs, 3000 evals, 2876 steps, improv/step: 0.288 (last = 0.1667), fitness=0.043777097
285.85 secs, 3006 evals, 2882 steps, improv/step: 0.288 (last = 0.1667), fitness=0.043777097
286.40 secs, 3012 evals, 2888 steps, improv/step: 0.288 (last = 0.3333), fitness=0.043777084
286.98 secs, 3018 evals, 2894 steps, improv/step: 0.287 (last = 0.0000), fitness=0.043777084
287.55 secs, 3024 evals, 2900 steps, improv/step: 0.287 (last = 0.0000), fitness=0.043777084
288.12 secs, 3030 evals, 2906 steps, improv/step: 0.286 (last = 0.0000), fitness=0.043777084
288.68 secs, 3036 evals, 2912 steps, improv/step: 0.286 (last = 0.1667), fitness=0.043777084
289.24 secs, 3042 evals, 2918 steps, improv/step: 0.286 (last = 0.3333), fitness=0.043777084
289.77 secs, 3048 evals, 2924 steps, improv/step: 0.286 (last = 0.3333), fitness=0.043777084
290.28 secs, 3054 evals, 2930 steps, improv/step: 0.286 (last = 0.1667), fitness=0.043777084
290.84 secs, 3060 evals, 2936 steps, improv/step: 0.286 (last = 0.3333), fitness=0.043777084
291.41 secs, 3066 evals, 2942 steps, improv/step: 0.286 (last = 0.3333), fitness=0.043777084
291.95 secs, 3072 evals, 2948 steps, improv/step: 0.285 (last = 0.0000), fitness=0.043777084
292.50 secs, 3078 evals, 2954 steps, improv/step: 0.285 (last = 0.3333), fitness=0.043777084
293.04 secs, 3084 evals, 2960 steps, improv/step: 0.285 (last = 0.1667), fitness=0.043777084
293.60 secs, 3090 evals, 2966 steps, improv/step: 0.285 (last = 0.3333), fitness=0.043777084
294.16 secs, 3096 evals, 2972 steps, improv/step: 0.285 (last = 0.1667), fitness=0.043777084
294.72 secs, 3102 evals, 2978 steps, improv/step: 0.284 (last = 0.0000), fitness=0.043777084
295.28 secs, 3108 evals, 2984 steps, improv/step: 0.285 (last = 0.5000), fitness=0.043777084
295.84 secs, 3114 evals, 2990 steps, improv/step: 0.285 (last = 0.3333), fitness=0.043777084
296.40 secs, 3120 evals, 2996 steps, improv/step: 0.285 (last = 0.3333), fitness=0.043777064
296.94 secs, 3126 evals, 3002 steps, improv/step: 0.285 (last = 0.3333), fitness=0.043777064
297.47 secs, 3132 evals, 3008 steps, improv/step: 0.285 (last = 0.1667), fitness=0.043777064
297.99 secs, 3138 evals, 3014 steps, improv/step: 0.285 (last = 0.3333), fitness=0.043777064
298.55 secs, 3144 evals, 3020 steps, improv/step: 0.286 (last = 0.6667), fitness=0.043777064
299.12 secs, 3150 evals, 3026 steps, improv/step: 0.286 (last = 0.3333), fitness=0.043777064
299.69 secs, 3156 evals, 3032 steps, improv/step: 0.285 (last = 0.0000), fitness=0.043777064
300.25 secs, 3162 evals, 3038 steps, improv/step: 0.285 (last = 0.0000), fitness=0.043777064
300.81 secs, 3168 evals, 3044 steps, improv/step: 0.285 (last = 0.3333), fitness=0.043777064
301.37 secs, 3174 evals, 3050 steps, improv/step: 0.285 (last = 0.1667), fitness=0.043777064
301.94 secs, 3180 evals, 3056 steps, improv/step: 0.284 (last = 0.1667), fitness=0.043777064
302.48 secs, 3186 evals, 3062 steps, improv/step: 0.284 (last = 0.1667), fitness=0.043777064
303.02 secs, 3192 evals, 3068 steps, improv/step: 0.284 (last = 0.1667), fitness=0.043777064
303.57 secs, 3198 evals, 3074 steps, improv/step: 0.284 (last = 0.3333), fitness=0.043777064
304.10 secs, 3204 evals, 3080 steps, improv/step: 0.284 (last = 0.1667), fitness=0.043777064
304.62 secs, 3210 evals, 3086 steps, improv/step: 0.284 (last = 0.1667), fitness=0.043777064
305.13 secs, 3216 evals, 3092 steps, improv/step: 0.283 (last = 0.1667), fitness=0.043777064
305.69 secs, 3222 evals, 3098 steps, improv/step: 0.283 (last = 0.3333), fitness=0.043777064
306.24 secs, 3228 evals, 3104 steps, improv/step: 0.284 (last = 0.5000), fitness=0.043777064
306.78 secs, 3234 evals, 3110 steps, improv/step: 0.284 (last = 0.1667), fitness=0.043777064
307.34 secs, 3240 evals, 3116 steps, improv/step: 0.283 (last = 0.1667), fitness=0.043777064
307.90 secs, 3246 evals, 3122 steps, improv/step: 0.284 (last = 0.5000), fitness=0.043777064
308.45 secs, 3252 evals, 3128 steps, improv/step: 0.284 (last = 0.1667), fitness=0.043777064
309.01 secs, 3258 evals, 3134 steps, improv/step: 0.283 (last = 0.1667), fitness=0.043777064
309.56 secs, 3264 evals, 3140 steps, improv/step: 0.283 (last = 0.1667), fitness=0.043777064
310.13 secs, 3270 evals, 3146 steps, improv/step: 0.283 (last = 0.1667), fitness=0.043777064
310.69 secs, 3276 evals, 3152 steps, improv/step: 0.283 (last = 0.5000), fitness=0.043777064
311.25 secs, 3282 evals, 3158 steps, improv/step: 0.283 (last = 0.3333), fitness=0.043777064
311.77 secs, 3288 evals, 3164 steps, improv/step: 0.284 (last = 0.5000), fitness=0.043777064
312.28 secs, 3294 evals, 3170 steps, improv/step: 0.284 (last = 0.1667), fitness=0.043777064
312.78 secs, 3300 evals, 3176 steps, improv/step: 0.284 (last = 0.5000), fitness=0.043777064
313.32 secs, 3306 evals, 3182 steps, improv/step: 0.284 (last = 0.1667), fitness=0.043777064
313.87 secs, 3312 evals, 3188 steps, improv/step: 0.284 (last = 0.3333), fitness=0.043777064
314.40 secs, 3318 evals, 3194 steps, improv/step: 0.284 (last = 0.3333), fitness=0.043777064
314.94 secs, 3324 evals, 3200 steps, improv/step: 0.284 (last = 0.3333), fitness=0.043777064
315.48 secs, 3330 evals, 3206 steps, improv/step: 0.284 (last = 0.0000), fitness=0.043777064
316.04 secs, 3336 evals, 3212 steps, improv/step: 0.284 (last = 0.5000), fitness=0.043777064
316.60 secs, 3342 evals, 3218 steps, improv/step: 0.283 (last = 0.0000), fitness=0.043777064
317.18 secs, 3348 evals, 3224 steps, improv/step: 0.283 (last = 0.0000), fitness=0.043777064
317.74 secs, 3354 evals, 3230 steps, improv/step: 0.283 (last = 0.1667), fitness=0.043777064
318.33 secs, 3360 evals, 3236 steps, improv/step: 0.283 (last = 0.5000), fitness=0.043777064
318.89 secs, 3366 evals, 3242 steps, improv/step: 0.283 (last = 0.5000), fitness=0.043777064
319.42 secs, 3372 evals, 3248 steps, improv/step: 0.284 (last = 0.3333), fitness=0.043777064
319.95 secs, 3378 evals, 3254 steps, improv/step: 0.284 (last = 0.5000), fitness=0.043777064
320.48 secs, 3384 evals, 3260 steps, improv/step: 0.284 (last = 0.5000), fitness=0.043777064
321.05 secs, 3390 evals, 3266 steps, improv/step: 0.284 (last = 0.1667), fitness=0.043777064
321.61 secs, 3396 evals, 3272 steps, improv/step: 0.284 (last = 0.1667), fitness=0.043777064
322.17 secs, 3402 evals, 3278 steps, improv/step: 0.284 (last = 0.3333), fitness=0.043777064
322.74 secs, 3408 evals, 3284 steps, improv/step: 0.284 (last = 0.3333), fitness=0.043777064
323.32 secs, 3414 evals, 3290 steps, improv/step: 0.284 (last = 0.0000), fitness=0.043777064
323.88 secs, 3420 evals, 3296 steps, improv/step: 0.284 (last = 0.5000), fitness=0.043777064
324.45 secs, 3426 evals, 3302 steps, improv/step: 0.284 (last = 0.3333), fitness=0.043777064
325.01 secs, 3432 evals, 3308 steps, improv/step: 0.284 (last = 0.3333), fitness=0.043777064
325.55 secs, 3438 evals, 3314 steps, improv/step: 0.284 (last = 0.3333), fitness=0.043777064
326.10 secs, 3444 evals, 3320 steps, improv/step: 0.284 (last = 0.3333), fitness=0.043777063
326.63 secs, 3450 evals, 3326 steps, improv/step: 0.284 (last = 0.3333), fitness=0.043777063
327.15 secs, 3456 evals, 3332 steps, improv/step: 0.284 (last = 0.1667), fitness=0.043777063
327.66 secs, 3462 evals, 3338 steps, improv/step: 0.284 (last = 0.1667), fitness=0.043777063
328.22 secs, 3468 evals, 3344 steps, improv/step: 0.284 (last = 0.3333), fitness=0.043777063
328.77 secs, 3474 evals, 3350 steps, improv/step: 0.284 (last = 0.1667), fitness=0.043777063
329.31 secs, 3480 evals, 3356 steps, improv/step: 0.284 (last = 0.1667), fitness=0.043777063
329.87 secs, 3486 evals, 3362 steps, improv/step: 0.283 (last = 0.1667), fitness=0.043777058
330.43 secs, 3492 evals, 3368 steps, improv/step: 0.284 (last = 0.3333), fitness=0.043777058
330.99 secs, 3498 evals, 3374 steps, improv/step: 0.283 (last = 0.0000), fitness=0.043777058
331.56 secs, 3504 evals, 3380 steps, improv/step: 0.283 (last = 0.1667), fitness=0.043777058
332.12 secs, 3510 evals, 3386 steps, improv/step: 0.283 (last = 0.3333), fitness=0.043777058
332.69 secs, 3516 evals, 3392 steps, improv/step: 0.283 (last = 0.1667), fitness=0.043777058
333.26 secs, 3522 evals, 3398 steps, improv/step: 0.283 (last = 0.1667), fitness=0.043777058
333.82 secs, 3528 evals, 3404 steps, improv/step: 0.282 (last = 0.1667), fitness=0.043777058
334.35 secs, 3534 evals, 3410 steps, improv/step: 0.282 (last = 0.1667), fitness=0.043777054
334.86 secs, 3540 evals, 3416 steps, improv/step: 0.282 (last = 0.5000), fitness=0.043777054
335.37 secs, 3546 evals, 3422 steps, improv/step: 0.282 (last = 0.1667), fitness=0.043777054
335.91 secs, 3552 evals, 3428 steps, improv/step: 0.283 (last = 0.5000), fitness=0.043777054
336.46 secs, 3558 evals, 3434 steps, improv/step: 0.282 (last = 0.1667), fitness=0.043777054
337.00 secs, 3564 evals, 3440 steps, improv/step: 0.282 (last = 0.1667), fitness=0.043777054
337.55 secs, 3570 evals, 3446 steps, improv/step: 0.282 (last = 0.1667), fitness=0.043777054
338.10 secs, 3576 evals, 3452 steps, improv/step: 0.282 (last = 0.3333), fitness=0.043777054
338.68 secs, 3582 evals, 3458 steps, improv/step: 0.282 (last = 0.3333), fitness=0.043777054
339.24 secs, 3588 evals, 3464 steps, improv/step: 0.282 (last = 0.1667), fitness=0.043777054
339.81 secs, 3594 evals, 3470 steps, improv/step: 0.282 (last = 0.0000), fitness=0.043777054
340.38 secs, 3600 evals, 3476 steps, improv/step: 0.282 (last = 0.3333), fitness=0.043777054
340.95 secs, 3606 evals, 3482 steps, improv/step: 0.281 (last = 0.0000), fitness=0.043777054
341.49 secs, 3612 evals, 3488 steps, improv/step: 0.281 (last = 0.3333), fitness=0.043777054
342.04 secs, 3618 evals, 3494 steps, improv/step: 0.281 (last = 0.3333), fitness=0.043777054
342.56 secs, 3624 evals, 3500 steps, improv/step: 0.281 (last = 0.3333), fitness=0.043777054
343.11 secs, 3630 evals, 3506 steps, improv/step: 0.281 (last = 0.1667), fitness=0.043777054
343.67 secs, 3636 evals, 3512 steps, improv/step: 0.281 (last = 0.1667), fitness=0.043777054
344.23 secs, 3642 evals, 3518 steps, improv/step: 0.281 (last = 0.1667), fitness=0.043777054
344.78 secs, 3648 evals, 3524 steps, improv/step: 0.281 (last = 0.3333), fitness=0.043777054
345.32 secs, 3654 evals, 3530 steps, improv/step: 0.281 (last = 0.3333), fitness=0.043777054
345.86 secs, 3660 evals, 3536 steps, improv/step: 0.281 (last = 0.0000), fitness=0.043777054
346.41 secs, 3666 evals, 3542 steps, improv/step: 0.280 (last = 0.1667), fitness=0.043777054
346.97 secs, 3672 evals, 3548 steps, improv/step: 0.281 (last = 0.6667), fitness=0.043777054
347.52 secs, 3678 evals, 3554 steps, improv/step: 0.281 (last = 0.3333), fitness=0.043777054
348.09 secs, 3684 evals, 3560 steps, improv/step: 0.281 (last = 0.3333), fitness=0.043777054
348.64 secs, 3690 evals, 3566 steps, improv/step: 0.282 (last = 0.6667), fitness=0.043777054
349.22 secs, 3696 evals, 3572 steps, improv/step: 0.282 (last = 0.5000), fitness=0.043777054
349.77 secs, 3702 evals, 3578 steps, improv/step: 0.282 (last = 0.0000), fitness=0.043777054
350.29 secs, 3708 evals, 3584 steps, improv/step: 0.282 (last = 0.1667), fitness=0.043777054
350.80 secs, 3714 evals, 3590 steps, improv/step: 0.281 (last = 0.1667), fitness=0.043777054
351.33 secs, 3720 evals, 3596 steps, improv/step: 0.281 (last = 0.1667), fitness=0.043777054
351.88 secs, 3726 evals, 3602 steps, improv/step: 0.281 (last = 0.1667), fitness=0.043777054
352.43 secs, 3732 evals, 3608 steps, improv/step: 0.280 (last = 0.0000), fitness=0.043777054
352.99 secs, 3738 evals, 3614 steps, improv/step: 0.280 (last = 0.0000), fitness=0.043777054
353.54 secs, 3744 evals, 3620 steps, improv/step: 0.280 (last = 0.1667), fitness=0.043777054
354.10 secs, 3750 evals, 3626 steps, improv/step: 0.280 (last = 0.5000), fitness=0.043777054
354.63 secs, 3756 evals, 3632 steps, improv/step: 0.280 (last = 0.1667), fitness=0.043777054
355.17 secs, 3762 evals, 3638 steps, improv/step: 0.280 (last = 0.3333), fitness=0.043777054
355.71 secs, 3768 evals, 3644 steps, improv/step: 0.280 (last = 0.3333), fitness=0.043777054
356.24 secs, 3774 evals, 3650 steps, improv/step: 0.280 (last = 0.1667), fitness=0.043777054
356.78 secs, 3780 evals, 3656 steps, improv/step: 0.280 (last = 0.3333), fitness=0.043777054
357.32 secs, 3786 evals, 3662 steps, improv/step: 0.280 (last = 0.3333), fitness=0.043777054
357.85 secs, 3792 evals, 3668 steps, improv/step: 0.280 (last = 0.1667), fitness=0.043777054
358.36 secs, 3798 evals, 3674 steps, improv/step: 0.280 (last = 0.3333), fitness=0.043777054
358.87 secs, 3804 evals, 3680 steps, improv/step: 0.280 (last = 0.1667), fitness=0.043777054
359.41 secs, 3810 evals, 3686 steps, improv/step: 0.280 (last = 0.3333), fitness=0.043777054
359.96 secs, 3816 evals, 3692 steps, improv/step: 0.280 (last = 0.3333), fitness=0.043777054
360.51 secs, 3822 evals, 3698 steps, improv/step: 0.280 (last = 0.0000), fitness=0.043777054
361.07 secs, 3828 evals, 3704 steps, improv/step: 0.280 (last = 0.3333), fitness=0.043777054
361.62 secs, 3834 evals, 3710 steps, improv/step: 0.279 (last = 0.0000), fitness=0.043777054
362.16 secs, 3840 evals, 3716 steps, improv/step: 0.279 (last = 0.1667), fitness=0.043777054
362.69 secs, 3846 evals, 3722 steps, improv/step: 0.279 (last = 0.1667), fitness=0.043777054
363.23 secs, 3852 evals, 3728 steps, improv/step: 0.279 (last = 0.1667), fitness=0.043777054
363.79 secs, 3858 evals, 3734 steps, improv/step: 0.279 (last = 0.5000), fitness=0.043777054
364.34 secs, 3864 evals, 3740 steps, improv/step: 0.279 (last = 0.3333), fitness=0.043777054
364.89 secs, 3870 evals, 3746 steps, improv/step: 0.279 (last = 0.5000), fitness=0.043777054
365.42 secs, 3876 evals, 3752 steps, improv/step: 0.279 (last = 0.0000), fitness=0.043777054
366.00 secs, 3883 evals, 3759 steps, improv/step: 0.279 (last = 0.0000), fitness=0.043777054
366.52 secs, 3889 evals, 3765 steps, improv/step: 0.279 (last = 0.3333), fitness=0.043777054
367.07 secs, 3895 evals, 3771 steps, improv/step: 0.279 (last = 0.5000), fitness=0.043777054
367.63 secs, 3901 evals, 3777 steps, improv/step: 0.279 (last = 0.3333), fitness=0.043777054
368.19 secs, 3907 evals, 3783 steps, improv/step: 0.279 (last = 0.3333), fitness=0.043777054
368.75 secs, 3913 evals, 3789 steps, improv/step: 0.279 (last = 0.1667), fitness=0.043777054
369.30 secs, 3919 evals, 3795 steps, improv/step: 0.279 (last = 0.1667), fitness=0.043777054
369.85 secs, 3925 evals, 3801 steps, improv/step: 0.279 (last = 0.1667), fitness=0.043777054
370.38 secs, 3931 evals, 3807 steps, improv/step: 0.278 (last = 0.0000), fitness=0.043777054
370.93 secs, 3937 evals, 3813 steps, improv/step: 0.278 (last = 0.1667), fitness=0.043777054
371.46 secs, 3943 evals, 3819 steps, improv/step: 0.278 (last = 0.3333), fitness=0.043777054
372.01 secs, 3949 evals, 3825 steps, improv/step: 0.278 (last = 0.3333), fitness=0.043777054
372.54 secs, 3955 evals, 3831 steps, improv/step: 0.279 (last = 0.5000), fitness=0.043777054
373.05 secs, 3961 evals, 3837 steps, improv/step: 0.278 (last = 0.1667), fitness=0.043777054
373.56 secs, 3967 evals, 3843 steps, improv/step: 0.278 (last = 0.1667), fitness=0.043777054
374.11 secs, 3973 evals, 3849 steps, improv/step: 0.278 (last = 0.0000), fitness=0.043777054
374.68 secs, 3979 evals, 3855 steps, improv/step: 0.278 (last = 0.1667), fitness=0.043777054
375.23 secs, 3985 evals, 3861 steps, improv/step: 0.278 (last = 0.5000), fitness=0.043777054
375.77 secs, 3991 evals, 3867 steps, improv/step: 0.278 (last = 0.1667), fitness=0.043777054
376.30 secs, 3997 evals, 3873 steps, improv/step: 0.278 (last = 0.3333), fitness=0.043777054
376.84 secs, 4003 evals, 3879 steps, improv/step: 0.278 (last = 0.1667), fitness=0.043777054
377.39 secs, 4009 evals, 3885 steps, improv/step: 0.277 (last = 0.1667), fitness=0.043777054
377.95 secs, 4015 evals, 3891 steps, improv/step: 0.277 (last = 0.0000), fitness=0.043777054
378.51 secs, 4021 evals, 3897 steps, improv/step: 0.277 (last = 0.3333), fitness=0.043777054
379.07 secs, 4027 evals, 3903 steps, improv/step: 0.277 (last = 0.0000), fitness=0.043777054
379.65 secs, 4033 evals, 3909 steps, improv/step: 0.277 (last = 0.3333), fitness=0.043777054
380.20 secs, 4039 evals, 3915 steps, improv/step: 0.277 (last = 0.1667), fitness=0.043777054
380.72 secs, 4045 evals, 3921 steps, improv/step: 0.277 (last = 0.3333), fitness=0.043777054
381.23 secs, 4051 evals, 3927 steps, improv/step: 0.277 (last = 0.3333), fitness=0.043777054
381.80 secs, 4057 evals, 3933 steps, improv/step: 0.277 (last = 0.5000), fitness=0.043777054
382.34 secs, 4063 evals, 3939 steps, improv/step: 0.277 (last = 0.1667), fitness=0.043777054
382.88 secs, 4069 evals, 3945 steps, improv/step: 0.277 (last = 0.1667), fitness=0.043777054
383.43 secs, 4075 evals, 3951 steps, improv/step: 0.277 (last = 0.5000), fitness=0.043777054
383.99 secs, 4081 evals, 3957 steps, improv/step: 0.277 (last = 0.0000), fitness=0.043777054
384.55 secs, 4087 evals, 3963 steps, improv/step: 0.277 (last = 0.3333), fitness=0.043777054
385.12 secs, 4093 evals, 3969 steps, improv/step: 0.276 (last = 0.0000), fitness=0.043777054
385.67 secs, 4099 evals, 3975 steps, improv/step: 0.276 (last = 0.0000), fitness=0.043777054
386.20 secs, 4105 evals, 3981 steps, improv/step: 0.276 (last = 0.3333), fitness=0.043777054
386.73 secs, 4111 evals, 3987 steps, improv/step: 0.276 (last = 0.3333), fitness=0.043777054
387.27 secs, 4117 evals, 3993 steps, improv/step: 0.276 (last = 0.1667), fitness=0.043777054
387.83 secs, 4123 evals, 3999 steps, improv/step: 0.276 (last = 0.0000), fitness=0.043777054
388.38 secs, 4129 evals, 4005 steps, improv/step: 0.275 (last = 0.1667), fitness=0.043777054
388.96 secs, 4135 evals, 4011 steps, improv/step: 0.275 (last = 0.3333), fitness=0.043777054
389.52 secs, 4141 evals, 4017 steps, improv/step: 0.275 (last = 0.0000), fitness=0.043777054
390.08 secs, 4147 evals, 4023 steps, improv/step: 0.275 (last = 0.3333), fitness=0.043777054
390.63 secs, 4153 evals, 4029 steps, improv/step: 0.275 (last = 0.0000), fitness=0.043777054
391.18 secs, 4159 evals, 4035 steps, improv/step: 0.275 (last = 0.1667), fitness=0.043777054
391.73 secs, 4165 evals, 4041 steps, improv/step: 0.275 (last = 0.3333), fitness=0.043777054
392.28 secs, 4171 evals, 4047 steps, improv/step: 0.275 (last = 0.1667), fitness=0.043777054
392.84 secs, 4177 evals, 4053 steps, improv/step: 0.275 (last = 0.3333), fitness=0.043777054
393.38 secs, 4183 evals, 4059 steps, improv/step: 0.275 (last = 0.3333), fitness=0.043777054
393.94 secs, 4189 evals, 4065 steps, improv/step: 0.275 (last = 0.1667), fitness=0.043777054
394.49 secs, 4195 evals, 4071 steps, improv/step: 0.274 (last = 0.0000), fitness=0.043777054
395.05 secs, 4201 evals, 4077 steps, improv/step: 0.274 (last = 0.1667), fitness=0.043777054
395.61 secs, 4207 evals, 4083 steps, improv/step: 0.274 (last = 0.1667), fitness=0.043777054
396.18 secs, 4213 evals, 4089 steps, improv/step: 0.274 (last = 0.3333), fitness=0.043777054
396.74 secs, 4219 evals, 4095 steps, improv/step: 0.274 (last = 0.3333), fitness=0.043777054
397.29 secs, 4225 evals, 4101 steps, improv/step: 0.274 (last = 0.3333), fitness=0.043777054
397.87 secs, 4231 evals, 4107 steps, improv/step: 0.275 (last = 0.6667), fitness=0.043777054
398.45 secs, 4237 evals, 4113 steps, improv/step: 0.275 (last = 0.3333), fitness=0.043777054
399.01 secs, 4243 evals, 4119 steps, improv/step: 0.275 (last = 0.1667), fitness=0.043777054
399.55 secs, 4249 evals, 4125 steps, improv/step: 0.275 (last = 0.3333), fitness=0.043777054
400.11 secs, 4255 evals, 4131 steps, improv/step: 0.275 (last = 0.3333), fitness=0.043777054
400.65 secs, 4261 evals, 4137 steps, improv/step: 0.275 (last = 0.3333), fitness=0.043777054
401.19 secs, 4267 evals, 4143 steps, improv/step: 0.274 (last = 0.0000), fitness=0.043777054
401.71 secs, 4273 evals, 4149 steps, improv/step: 0.275 (last = 0.3333), fitness=0.043777054
402.27 secs, 4279 evals, 4155 steps, improv/step: 0.274 (last = 0.1667), fitness=0.043777054
402.82 secs, 4285 evals, 4161 steps, improv/step: 0.274 (last = 0.0000), fitness=0.043777054
403.38 secs, 4291 evals, 4167 steps, improv/step: 0.274 (last = 0.1667), fitness=0.043777054
403.93 secs, 4297 evals, 4173 steps, improv/step: 0.274 (last = 0.3333), fitness=0.043777054
404.51 secs, 4303 evals, 4179 steps, improv/step: 0.274 (last = 0.1667), fitness=0.043777054
405.08 secs, 4309 evals, 4185 steps, improv/step: 0.274 (last = 0.5000), fitness=0.043777054
405.65 secs, 4315 evals, 4191 steps, improv/step: 0.274 (last = 0.0000), fitness=0.043777054
406.20 secs, 4321 evals, 4197 steps, improv/step: 0.273 (last = 0.0000), fitness=0.043777054
406.76 secs, 4327 evals, 4203 steps, improv/step: 0.273 (last = 0.3333), fitness=0.043777054
407.33 secs, 4333 evals, 4209 steps, improv/step: 0.273 (last = 0.0000), fitness=0.043777054
407.89 secs, 4339 evals, 4215 steps, improv/step: 0.273 (last = 0.3333), fitness=0.043777054
408.45 secs, 4345 evals, 4221 steps, improv/step: 0.273 (last = 0.3333), fitness=0.043777054
409.01 secs, 4351 evals, 4227 steps, improv/step: 0.273 (last = 0.1667), fitness=0.043777054
409.54 secs, 4357 evals, 4233 steps, improv/step: 0.273 (last = 0.3333), fitness=0.043777054
410.05 secs, 4363 evals, 4239 steps, improv/step: 0.273 (last = 0.5000), fitness=0.043777054
410.62 secs, 4369 evals, 4245 steps, improv/step: 0.273 (last = 0.1667), fitness=0.043777054
411.18 secs, 4375 evals, 4251 steps, improv/step: 0.273 (last = 0.0000), fitness=0.043777054
411.74 secs, 4381 evals, 4257 steps, improv/step: 0.272 (last = 0.0000), fitness=0.043777054
412.31 secs, 4387 evals, 4263 steps, improv/step: 0.272 (last = 0.1667), fitness=0.043777054
412.83 secs, 4393 evals, 4269 steps, improv/step: 0.272 (last = 0.0000), fitness=0.043777054
413.37 secs, 4399 evals, 4275 steps, improv/step: 0.272 (last = 0.1667), fitness=0.043777054
413.92 secs, 4405 evals, 4281 steps, improv/step: 0.272 (last = 0.1667), fitness=0.043777054
414.47 secs, 4411 evals, 4287 steps, improv/step: 0.272 (last = 0.3333), fitness=0.043777054
415.03 secs, 4417 evals, 4293 steps, improv/step: 0.272 (last = 0.1667), fitness=0.043777054
415.58 secs, 4423 evals, 4299 steps, improv/step: 0.271 (last = 0.1667), fitness=0.043777054
416.15 secs, 4429 evals, 4305 steps, improv/step: 0.271 (last = 0.0000), fitness=0.043777054
416.69 secs, 4435 evals, 4311 steps, improv/step: 0.271 (last = 0.0000), fitness=0.043777054
417.25 secs, 4441 evals, 4317 steps, improv/step: 0.271 (last = 0.3333), fitness=0.043777053
417.80 secs, 4447 evals, 4323 steps, improv/step: 0.271 (last = 0.3333), fitness=0.043777053
418.36 secs, 4453 evals, 4329 steps, improv/step: 0.271 (last = 0.1667), fitness=0.043777053
418.93 secs, 4459 evals, 4335 steps, improv/step: 0.270 (last = 0.0000), fitness=0.043777053
419.49 secs, 4465 evals, 4341 steps, improv/step: 0.271 (last = 0.5000), fitness=0.043777053
420.04 secs, 4471 evals, 4347 steps, improv/step: 0.271 (last = 0.1667), fitness=0.043777053
420.60 secs, 4477 evals, 4353 steps, improv/step: 0.270 (last = 0.0000), fitness=0.043777053
421.16 secs, 4483 evals, 4359 steps, improv/step: 0.270 (last = 0.0000), fitness=0.043777053
421.70 secs, 4489 evals, 4365 steps, improv/step: 0.269 (last = 0.0000), fitness=0.043777053
422.26 secs, 4495 evals, 4371 steps, improv/step: 0.270 (last = 0.3333), fitness=0.043777053
422.80 secs, 4501 evals, 4377 steps, improv/step: 0.269 (last = 0.1667), fitness=0.043777053
423.35 secs, 4507 evals, 4383 steps, improv/step: 0.269 (last = 0.0000), fitness=0.043777053
423.90 secs, 4513 evals, 4389 steps, improv/step: 0.269 (last = 0.1667), fitness=0.043777053
424.46 secs, 4519 evals, 4395 steps, improv/step: 0.268 (last = 0.0000), fitness=0.043777053
425.02 secs, 4525 evals, 4401 steps, improv/step: 0.269 (last = 0.3333), fitness=0.043777053
425.58 secs, 4531 evals, 4407 steps, improv/step: 0.268 (last = 0.1667), fitness=0.043777053
426.10 secs, 4537 evals, 4413 steps, improv/step: 0.268 (last = 0.1667), fitness=0.043777053
426.63 secs, 4543 evals, 4419 steps, improv/step: 0.268 (last = 0.1667), fitness=0.043777053
427.19 secs, 4549 evals, 4425 steps, improv/step: 0.268 (last = 0.0000), fitness=0.043777053
427.74 secs, 4555 evals, 4431 steps, improv/step: 0.268 (last = 0.1667), fitness=0.043777053
428.29 secs, 4561 evals, 4437 steps, improv/step: 0.268 (last = 0.1667), fitness=0.043777053
428.83 secs, 4567 evals, 4443 steps, improv/step: 0.267 (last = 0.1667), fitness=0.043777053
429.37 secs, 4573 evals, 4449 steps, improv/step: 0.267 (last = 0.0000), fitness=0.043777053
429.92 secs, 4579 evals, 4455 steps, improv/step: 0.267 (last = 0.0000), fitness=0.043777053
430.48 secs, 4585 evals, 4461 steps, improv/step: 0.267 (last = 0.1667), fitness=0.043777053
431.04 secs, 4591 evals, 4467 steps, improv/step: 0.266 (last = 0.1667), fitness=0.043777053
431.60 secs, 4597 evals, 4473 steps, improv/step: 0.266 (last = 0.0000), fitness=0.043777053
432.16 secs, 4603 evals, 4479 steps, improv/step: 0.266 (last = 0.1667), fitness=0.043777053
432.71 secs, 4609 evals, 4485 steps, improv/step: 0.266 (last = 0.0000), fitness=0.043777053
433.26 secs, 4615 evals, 4491 steps, improv/step: 0.265 (last = 0.1667), fitness=0.043777053
433.80 secs, 4621 evals, 4497 steps, improv/step: 0.265 (last = 0.0000), fitness=0.043777053
434.34 secs, 4627 evals, 4503 steps, improv/step: 0.265 (last = 0.0000), fitness=0.043777053
434.87 secs, 4633 evals, 4509 steps, improv/step: 0.265 (last = 0.1667), fitness=0.043777053
435.39 secs, 4639 evals, 4515 steps, improv/step: 0.264 (last = 0.0000), fitness=0.043777053
435.93 secs, 4645 evals, 4521 steps, improv/step: 0.264 (last = 0.1667), fitness=0.043777053
436.45 secs, 4651 evals, 4527 steps, improv/step: 0.264 (last = 0.0000), fitness=0.043777053
436.96 secs, 4657 evals, 4533 steps, improv/step: 0.263 (last = 0.0000), fitness=0.043777053
437.50 secs, 4663 evals, 4539 steps, improv/step: 0.263 (last = 0.1667), fitness=0.043777053
438.05 secs, 4669 evals, 4545 steps, improv/step: 0.263 (last = 0.0000), fitness=0.043777053
438.59 secs, 4675 evals, 4551 steps, improv/step: 0.263 (last = 0.0000), fitness=0.043777053
439.12 secs, 4681 evals, 4557 steps, improv/step: 0.262 (last = 0.0000), fitness=0.043777053
439.69 secs, 4687 evals, 4563 steps, improv/step: 0.262 (last = 0.0000), fitness=0.043777053
440.25 secs, 4693 evals, 4569 steps, improv/step: 0.262 (last = 0.1667), fitness=0.043777053
440.81 secs, 4699 evals, 4575 steps, improv/step: 0.262 (last = 0.1667), fitness=0.043777053
441.35 secs, 4705 evals, 4581 steps, improv/step: 0.262 (last = 0.1667), fitness=0.043777053
441.87 secs, 4711 evals, 4587 steps, improv/step: 0.261 (last = 0.0000), fitness=0.043777053
442.42 secs, 4717 evals, 4593 steps, improv/step: 0.261 (last = 0.1667), fitness=0.043777053
442.96 secs, 4723 evals, 4599 steps, improv/step: 0.261 (last = 0.1667), fitness=0.043777053
443.51 secs, 4729 evals, 4605 steps, improv/step: 0.261 (last = 0.0000), fitness=0.043777053
444.05 secs, 4735 evals, 4611 steps, improv/step: 0.261 (last = 0.3333), fitness=0.043777053
444.60 secs, 4741 evals, 4617 steps, improv/step: 0.260 (last = 0.0000), fitness=0.043777053
445.15 secs, 4747 evals, 4623 steps, improv/step: 0.260 (last = 0.0000), fitness=0.043777053
445.69 secs, 4753 evals, 4629 steps, improv/step: 0.260 (last = 0.0000), fitness=0.043777053
446.23 secs, 4759 evals, 4635 steps, improv/step: 0.259 (last = 0.0000), fitness=0.043777053
446.78 secs, 4765 evals, 4641 steps, improv/step: 0.259 (last = 0.3333), fitness=0.043777053
447.32 secs, 4771 evals, 4647 steps, improv/step: 0.259 (last = 0.0000), fitness=0.043777053
447.88 secs, 4777 evals, 4653 steps, improv/step: 0.259 (last = 0.3333), fitness=0.043777053
448.43 secs, 4783 evals, 4659 steps, improv/step: 0.259 (last = 0.1667), fitness=0.043777053
448.99 secs, 4789 evals, 4665 steps, improv/step: 0.259 (last = 0.0000), fitness=0.043777053
449.54 secs, 4795 evals, 4671 steps, improv/step: 0.259 (last = 0.3333), fitness=0.043777053
450.09 secs, 4801 evals, 4677 steps, improv/step: 0.259 (last = 0.1667), fitness=0.043777053
450.65 secs, 4807 evals, 4683 steps, improv/step: 0.259 (last = 0.3333), fitness=0.043777053
451.20 secs, 4813 evals, 4689 steps, improv/step: 0.259 (last = 0.1667), fitness=0.043777053
451.76 secs, 4819 evals, 4695 steps, improv/step: 0.259 (last = 0.1667), fitness=0.043777053
452.27 secs, 4825 evals, 4701 steps, improv/step: 0.258 (last = 0.1667), fitness=0.043777053
452.82 secs, 4831 evals, 4707 steps, improv/step: 0.258 (last = 0.0000), fitness=0.043777053
453.36 secs, 4837 evals, 4713 steps, improv/step: 0.258 (last = 0.0000), fitness=0.043777053
453.89 secs, 4843 evals, 4719 steps, improv/step: 0.258 (last = 0.1667), fitness=0.043777053
454.42 secs, 4849 evals, 4725 steps, improv/step: 0.257 (last = 0.0000), fitness=0.043777053
454.95 secs, 4855 evals, 4731 steps, improv/step: 0.257 (last = 0.3333), fitness=0.043777053
455.48 secs, 4861 evals, 4737 steps, improv/step: 0.257 (last = 0.0000), fitness=0.043777053
456.02 secs, 4867 evals, 4743 steps, improv/step: 0.257 (last = 0.0000), fitness=0.043777053
456.56 secs, 4873 evals, 4749 steps, improv/step: 0.256 (last = 0.0000), fitness=0.043777053
457.14 secs, 4880 evals, 4756 steps, improv/step: 0.256 (last = 0.1429), fitness=0.043777053
457.68 secs, 4886 evals, 4762 steps, improv/step: 0.256 (last = 0.0000), fitness=0.043777053
458.23 secs, 4892 evals, 4768 steps, improv/step: 0.256 (last = 0.1667), fitness=0.043777053
458.78 secs, 4898 evals, 4774 steps, improv/step: 0.256 (last = 0.1667), fitness=0.043777053
459.32 secs, 4904 evals, 4780 steps, improv/step: 0.255 (last = 0.0000), fitness=0.043777053
459.89 secs, 4910 evals, 4786 steps, improv/step: 0.255 (last = 0.0000), fitness=0.043777053
460.45 secs, 4916 evals, 4792 steps, improv/step: 0.255 (last = 0.0000), fitness=0.043777053
461.01 secs, 4922 evals, 4798 steps, improv/step: 0.255 (last = 0.1667), fitness=0.043777052
461.56 secs, 4928 evals, 4804 steps, improv/step: 0.255 (last = 0.1667), fitness=0.043777052
462.12 secs, 4934 evals, 4810 steps, improv/step: 0.254 (last = 0.1667), fitness=0.043777052
462.66 secs, 4940 evals, 4816 steps, improv/step: 0.254 (last = 0.0000), fitness=0.043777052
463.20 secs, 4946 evals, 4823 steps, improv/step: 0.254 (last = 0.1429), fitness=0.043777052
463.76 secs, 4952 evals, 4829 steps, improv/step: 0.254 (last = 0.0000), fitness=0.043777052
464.33 secs, 4958 evals, 4835 steps, improv/step: 0.254 (last = 0.1667), fitness=0.043777052
464.88 secs, 4964 evals, 4841 steps, improv/step: 0.253 (last = 0.0000), fitness=0.043777052
465.43 secs, 4970 evals, 4847 steps, improv/step: 0.253 (last = 0.1667), fitness=0.043777052
465.98 secs, 4976 evals, 4853 steps, improv/step: 0.253 (last = 0.0000), fitness=0.043777052
466.54 secs, 4982 evals, 4859 steps, improv/step: 0.253 (last = 0.0000), fitness=0.043777052
467.09 secs, 4988 evals, 4865 steps, improv/step: 0.252 (last = 0.0000), fitness=0.043777052
467.64 secs, 4994 evals, 4871 steps, improv/step: 0.252 (last = 0.0000), fitness=0.043777052
468.21 secs, 5000 evals, 4877 steps, improv/step: 0.252 (last = 0.0000), fitness=0.043777052
468.77 secs, 5006 evals, 4883 steps, improv/step: 0.251 (last = 0.1667), fitness=0.043777052
469.33 secs, 5012 evals, 4889 steps, improv/step: 0.251 (last = 0.1667), fitness=0.043777052
469.90 secs, 5018 evals, 4895 steps, improv/step: 0.251 (last = 0.0000), fitness=0.043777052
470.46 secs, 5024 evals, 4901 steps, improv/step: 0.251 (last = 0.0000), fitness=0.043777052
471.00 secs, 5030 evals, 4907 steps, improv/step: 0.251 (last = 0.1667), fitness=0.043777052
471.55 secs, 5036 evals, 4913 steps, improv/step: 0.251 (last = 0.3333), fitness=0.043777052
472.09 secs, 5042 evals, 4919 steps, improv/step: 0.250 (last = 0.0000), fitness=0.043777052
472.64 secs, 5048 evals, 4925 steps, improv/step: 0.251 (last = 0.3333), fitness=0.043777052
473.20 secs, 5054 evals, 4931 steps, improv/step: 0.250 (last = 0.1667), fitness=0.043777052
473.75 secs, 5060 evals, 4937 steps, improv/step: 0.250 (last = 0.1667), fitness=0.043777052
474.32 secs, 5066 evals, 4943 steps, improv/step: 0.250 (last = 0.1667), fitness=0.043777052
474.89 secs, 5072 evals, 4949 steps, improv/step: 0.250 (last = 0.1667), fitness=0.043777052
475.45 secs, 5078 evals, 4955 steps, improv/step: 0.250 (last = 0.3333), fitness=0.043777052
476.01 secs, 5084 evals, 4961 steps, improv/step: 0.250 (last = 0.0000), fitness=0.043777052
476.58 secs, 5090 evals, 4967 steps, improv/step: 0.250 (last = 0.0000), fitness=0.043777052
477.14 secs, 5096 evals, 4973 steps, improv/step: 0.250 (last = 0.1667), fitness=0.043777052
477.69 secs, 5102 evals, 4979 steps, improv/step: 0.249 (last = 0.0000), fitness=0.043777052
478.24 secs, 5108 evals, 4985 steps, improv/step: 0.249 (last = 0.1667), fitness=0.043777052
478.80 secs, 5114 evals, 4991 steps, improv/step: 0.249 (last = 0.1667), fitness=0.043777052
479.36 secs, 5120 evals, 4997 steps, improv/step: 0.249 (last = 0.0000), fitness=0.043777052
479.92 secs, 5126 evals, 5003 steps, improv/step: 0.248 (last = 0.0000), fitness=0.043777052
480.48 secs, 5132 evals, 5009 steps, improv/step: 0.248 (last = 0.0000), fitness=0.043777052
481.04 secs, 5138 evals, 5015 steps, improv/step: 0.248 (last = 0.0000), fitness=0.043777052
481.59 secs, 5144 evals, 5021 steps, improv/step: 0.248 (last = 0.0000), fitness=0.043777052
482.15 secs, 5150 evals, 5027 steps, improv/step: 0.248 (last = 0.3333), fitness=0.043777052
482.70 secs, 5156 evals, 5033 steps, improv/step: 0.248 (last = 0.5000), fitness=0.043777052
483.26 secs, 5162 evals, 5039 steps, improv/step: 0.248 (last = 0.0000), fitness=0.043777052
483.80 secs, 5168 evals, 5045 steps, improv/step: 0.248 (last = 0.1667), fitness=0.043777052
484.35 secs, 5174 evals, 5051 steps, improv/step: 0.247 (last = 0.0000), fitness=0.043777052
484.91 secs, 5180 evals, 5057 steps, improv/step: 0.247 (last = 0.0000), fitness=0.043777052
485.46 secs, 5186 evals, 5063 steps, improv/step: 0.247 (last = 0.0000), fitness=0.043777052
486.02 secs, 5192 evals, 5069 steps, improv/step: 0.246 (last = 0.0000), fitness=0.043777052
486.59 secs, 5198 evals, 5075 steps, improv/step: 0.246 (last = 0.1667), fitness=0.043777052
487.16 secs, 5204 evals, 5081 steps, improv/step: 0.246 (last = 0.0000), fitness=0.043777052
487.72 secs, 5210 evals, 5087 steps, improv/step: 0.246 (last = 0.5000), fitness=0.043777052
488.27 secs, 5216 evals, 5093 steps, improv/step: 0.246 (last = 0.0000), fitness=0.043777052
488.80 secs, 5222 evals, 5099 steps, improv/step: 0.246 (last = 0.0000), fitness=0.043777052
489.36 secs, 5228 evals, 5105 steps, improv/step: 0.245 (last = 0.0000), fitness=0.043777052
489.90 secs, 5234 evals, 5111 steps, improv/step: 0.245 (last = 0.1667), fitness=0.043777052
490.44 secs, 5240 evals, 5117 steps, improv/step: 0.245 (last = 0.0000), fitness=0.043777052
490.98 secs, 5246 evals, 5123 steps, improv/step: 0.245 (last = 0.1667), fitness=0.043777052
491.52 secs, 5252 evals, 5129 steps, improv/step: 0.245 (last = 0.0000), fitness=0.043777052
492.06 secs, 5258 evals, 5135 steps, improv/step: 0.244 (last = 0.0000), fitness=0.043777052
492.59 secs, 5264 evals, 5141 steps, improv/step: 0.244 (last = 0.1667), fitness=0.043777052
493.15 secs, 5270 evals, 5147 steps, improv/step: 0.244 (last = 0.0000), fitness=0.043777052
493.70 secs, 5276 evals, 5153 steps, improv/step: 0.244 (last = 0.0000), fitness=0.043777052
494.23 secs, 5282 evals, 5159 steps, improv/step: 0.244 (last = 0.3333), fitness=0.043777052
494.77 secs, 5288 evals, 5165 steps, improv/step: 0.244 (last = 0.1667), fitness=0.043777052
495.33 secs, 5294 evals, 5171 steps, improv/step: 0.243 (last = 0.0000), fitness=0.043777052
495.88 secs, 5300 evals, 5177 steps, improv/step: 0.243 (last = 0.0000), fitness=0.043777052
496.44 secs, 5306 evals, 5183 steps, improv/step: 0.243 (last = 0.1667), fitness=0.043777052
497.00 secs, 5312 evals, 5189 steps, improv/step: 0.243 (last = 0.0000), fitness=0.043777052
497.56 secs, 5318 evals, 5195 steps, improv/step: 0.243 (last = 0.0000), fitness=0.043777052
498.11 secs, 5324 evals, 5201 steps, improv/step: 0.242 (last = 0.0000), fitness=0.043777052
498.67 secs, 5330 evals, 5207 steps, improv/step: 0.242 (last = 0.0000), fitness=0.043777052
499.23 secs, 5336 evals, 5213 steps, improv/step: 0.242 (last = 0.1667), fitness=0.043777052
499.78 secs, 5342 evals, 5219 steps, improv/step: 0.242 (last = 0.1667), fitness=0.043777052
500.34 secs, 5348 evals, 5225 steps, improv/step: 0.242 (last = 0.1667), fitness=0.043777052
500.86 secs, 5354 evals, 5231 steps, improv/step: 0.241 (last = 0.0000), fitness=0.043777052
501.44 secs, 5360 evals, 5237 steps, improv/step: 0.241 (last = 0.1667), fitness=0.043777052
502.01 secs, 5366 evals, 5243 steps, improv/step: 0.241 (last = 0.0000), fitness=0.043777052
502.58 secs, 5372 evals, 5249 steps, improv/step: 0.241 (last = 0.0000), fitness=0.043777052
503.15 secs, 5378 evals, 5255 steps, improv/step: 0.241 (last = 0.0000), fitness=0.043777052
503.71 secs, 5384 evals, 5261 steps, improv/step: 0.240 (last = 0.0000), fitness=0.043777052
504.26 secs, 5390 evals, 5267 steps, improv/step: 0.240 (last = 0.0000), fitness=0.043777052
504.82 secs, 5396 evals, 5273 steps, improv/step: 0.240 (last = 0.0000), fitness=0.043777052
505.39 secs, 5402 evals, 5279 steps, improv/step: 0.239 (last = 0.0000), fitness=0.043777052
505.97 secs, 5408 evals, 5285 steps, improv/step: 0.239 (last = 0.0000), fitness=0.043777052
506.53 secs, 5414 evals, 5291 steps, improv/step: 0.239 (last = 0.0000), fitness=0.043777052
507.09 secs, 5420 evals, 5297 steps, improv/step: 0.239 (last = 0.1667), fitness=0.043777052
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510.52 secs, 5456 evals, 5333 steps, improv/step: 0.238 (last = 0.3333), fitness=0.043777052
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512.82 secs, 5480 evals, 5357 steps, improv/step: 0.238 (last = 0.0000), fitness=0.043777052
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515.61 secs, 5510 evals, 5387 steps, improv/step: 0.236 (last = 0.0000), fitness=0.043777052
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517.26 secs, 5528 evals, 5405 steps, improv/step: 0.236 (last = 0.1667), fitness=0.043777052
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527.46 secs, 5636 evals, 5514 steps, improv/step: 0.233 (last = 0.5000), fitness=0.043777052
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530.71 secs, 5672 evals, 5550 steps, improv/step: 0.232 (last = 0.0000), fitness=0.043777052
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533.50 secs, 5702 evals, 5580 steps, improv/step: 0.230 (last = 0.1667), fitness=0.043777052
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540.86 secs, 5780 evals, 5658 steps, improv/step: 0.228 (last = 0.0000), fitness=0.043777052
541.43 secs, 5786 evals, 5664 steps, improv/step: 0.228 (last = 0.1667), fitness=0.043777052
542.00 secs, 5792 evals, 5670 steps, improv/step: 0.228 (last = 0.0000), fitness=0.043777052
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546.01 secs, 5834 evals, 5712 steps, improv/step: 0.227 (last = 0.1667), fitness=0.043777052
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547.08 secs, 5846 evals, 5724 steps, improv/step: 0.226 (last = 0.0000), fitness=0.043777052
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550.49 secs, 5881 evals, 5759 steps, improv/step: 0.225 (last = 0.2000), fitness=0.043777052
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555.11 secs, 5929 evals, 5807 steps, improv/step: 0.224 (last = 0.0000), fitness=0.043777052
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556.27 secs, 5941 evals, 5819 steps, improv/step: 0.223 (last = 0.0000), fitness=0.043777052
556.82 secs, 5947 evals, 5825 steps, improv/step: 0.223 (last = 0.1667), fitness=0.043777052
557.38 secs, 5953 evals, 5831 steps, improv/step: 0.223 (last = 0.0000), fitness=0.043777052
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558.51 secs, 5965 evals, 5843 steps, improv/step: 0.223 (last = 0.0000), fitness=0.043777052
559.09 secs, 5971 evals, 5849 steps, improv/step: 0.222 (last = 0.0000), fitness=0.043777052
559.67 secs, 5977 evals, 5855 steps, improv/step: 0.222 (last = 0.0000), fitness=0.043777052
560.26 secs, 5983 evals, 5861 steps, improv/step: 0.222 (last = 0.0000), fitness=0.043777052
560.86 secs, 5989 evals, 5867 steps, improv/step: 0.222 (last = 0.0000), fitness=0.043777052
561.44 secs, 5995 evals, 5873 steps, improv/step: 0.222 (last = 0.3333), fitness=0.043777052
562.03 secs, 6001 evals, 5879 steps, improv/step: 0.222 (last = 0.0000), fitness=0.043777052
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563.20 secs, 6013 evals, 5891 steps, improv/step: 0.222 (last = 0.1667), fitness=0.043777052
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564.35 secs, 6025 evals, 5903 steps, improv/step: 0.221 (last = 0.0000), fitness=0.043777052
564.88 secs, 6031 evals, 5909 steps, improv/step: 0.221 (last = 0.1667), fitness=0.043777052
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568.90 secs, 6073 evals, 5951 steps, improv/step: 0.220 (last = 0.1667), fitness=0.043777052
569.48 secs, 6079 evals, 5957 steps, improv/step: 0.220 (last = 0.0000), fitness=0.043777052
570.04 secs, 6085 evals, 5963 steps, improv/step: 0.220 (last = 0.1667), fitness=0.043777052
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572.81 secs, 6114 evals, 5992 steps, improv/step: 0.219 (last = 0.0000), fitness=0.043777052
573.34 secs, 6120 evals, 5998 steps, improv/step: 0.219 (last = 0.1667), fitness=0.043777052
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575.54 secs, 6144 evals, 6022 steps, improv/step: 0.218 (last = 0.1667), fitness=0.043777052
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578.86 secs, 6180 evals, 6058 steps, improv/step: 0.217 (last = 0.0000), fitness=0.043777052
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580.51 secs, 6198 evals, 6076 steps, improv/step: 0.216 (last = 0.0000), fitness=0.043777052
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600.86 secs, 6414 evals, 6292 steps, improv/step: 0.210 (last = 0.0000), fitness=0.043777051
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602.52 secs, 6432 evals, 6310 steps, improv/step: 0.209 (last = 0.0000), fitness=0.043777051
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607.00 secs, 6480 evals, 6358 steps, improv/step: 0.208 (last = 0.0000), fitness=0.043777051
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608.13 secs, 6492 evals, 6370 steps, improv/step: 0.208 (last = 0.0000), fitness=0.043777051
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609.25 secs, 6504 evals, 6382 steps, improv/step: 0.208 (last = 0.1667), fitness=0.043777051
609.80 secs, 6510 evals, 6388 steps, improv/step: 0.207 (last = 0.0000), fitness=0.043777051
610.34 secs, 6516 evals, 6394 steps, improv/step: 0.207 (last = 0.0000), fitness=0.043777051
610.91 secs, 6522 evals, 6400 steps, improv/step: 0.207 (last = 0.0000), fitness=0.043777051
611.47 secs, 6528 evals, 6406 steps, improv/step: 0.207 (last = 0.0000), fitness=0.043777051
612.03 secs, 6534 evals, 6412 steps, improv/step: 0.207 (last = 0.1667), fitness=0.043777051
612.60 secs, 6540 evals, 6418 steps, improv/step: 0.207 (last = 0.0000), fitness=0.043777051
613.14 secs, 6546 evals, 6424 steps, improv/step: 0.206 (last = 0.0000), fitness=0.043777051
613.66 secs, 6552 evals, 6430 steps, improv/step: 0.206 (last = 0.0000), fitness=0.043777051
614.19 secs, 6558 evals, 6436 steps, improv/step: 0.206 (last = 0.0000), fitness=0.043777051
614.74 secs, 6564 evals, 6442 steps, improv/step: 0.206 (last = 0.0000), fitness=0.043777051
615.31 secs, 6570 evals, 6448 steps, improv/step: 0.206 (last = 0.1667), fitness=0.043777051
615.90 secs, 6576 evals, 6454 steps, improv/step: 0.206 (last = 0.0000), fitness=0.043777051
616.47 secs, 6582 evals, 6460 steps, improv/step: 0.206 (last = 0.5000), fitness=0.043777051
617.05 secs, 6588 evals, 6466 steps, improv/step: 0.206 (last = 0.0000), fitness=0.043777051
617.62 secs, 6594 evals, 6472 steps, improv/step: 0.206 (last = 0.0000), fitness=0.043777051
618.17 secs, 6600 evals, 6478 steps, improv/step: 0.205 (last = 0.0000), fitness=0.043777051
618.72 secs, 6606 evals, 6484 steps, improv/step: 0.205 (last = 0.0000), fitness=0.043777051
619.29 secs, 6612 evals, 6490 steps, improv/step: 0.205 (last = 0.0000), fitness=0.043777051
619.80 secs, 6618 evals, 6496 steps, improv/step: 0.205 (last = 0.0000), fitness=0.043777051
620.31 secs, 6623 evals, 6501 steps, improv/step: 0.205 (last = 0.0000), fitness=0.043777051
620.88 secs, 6629 evals, 6507 steps, improv/step: 0.205 (last = 0.1667), fitness=0.043777051
621.45 secs, 6635 evals, 6513 steps, improv/step: 0.204 (last = 0.0000), fitness=0.043777051
622.02 secs, 6641 evals, 6519 steps, improv/step: 0.204 (last = 0.0000), fitness=0.043777051
622.59 secs, 6647 evals, 6525 steps, improv/step: 0.204 (last = 0.0000), fitness=0.043777051
623.15 secs, 6653 evals, 6531 steps, improv/step: 0.204 (last = 0.0000), fitness=0.043777051
623.71 secs, 6659 evals, 6537 steps, improv/step: 0.204 (last = 0.1667), fitness=0.043777051
624.26 secs, 6665 evals, 6543 steps, improv/step: 0.204 (last = 0.0000), fitness=0.043777051
624.82 secs, 6671 evals, 6549 steps, improv/step: 0.203 (last = 0.0000), fitness=0.043777051
625.38 secs, 6677 evals, 6555 steps, improv/step: 0.203 (last = 0.1667), fitness=0.043777051
625.95 secs, 6683 evals, 6561 steps, improv/step: 0.203 (last = 0.0000), fitness=0.043777051
626.51 secs, 6689 evals, 6567 steps, improv/step: 0.203 (last = 0.0000), fitness=0.043777051
627.07 secs, 6695 evals, 6573 steps, improv/step: 0.203 (last = 0.0000), fitness=0.043777051
627.62 secs, 6701 evals, 6579 steps, improv/step: 0.203 (last = 0.0000), fitness=0.043777051
628.18 secs, 6707 evals, 6585 steps, improv/step: 0.202 (last = 0.0000), fitness=0.043777051
628.74 secs, 6713 evals, 6591 steps, improv/step: 0.202 (last = 0.0000), fitness=0.043777051
629.30 secs, 6719 evals, 6597 steps, improv/step: 0.202 (last = 0.0000), fitness=0.043777051
629.86 secs, 6725 evals, 6603 steps, improv/step: 0.202 (last = 0.1667), fitness=0.043777051
630.40 secs, 6731 evals, 6609 steps, improv/step: 0.202 (last = 0.0000), fitness=0.043777051
630.97 secs, 6737 evals, 6615 steps, improv/step: 0.202 (last = 0.0000), fitness=0.043777051
631.52 secs, 6743 evals, 6621 steps, improv/step: 0.201 (last = 0.0000), fitness=0.043777051
632.10 secs, 6749 evals, 6627 steps, improv/step: 0.201 (last = 0.1667), fitness=0.043777051
632.68 secs, 6755 evals, 6633 steps, improv/step: 0.201 (last = 0.0000), fitness=0.043777051
633.22 secs, 6761 evals, 6639 steps, improv/step: 0.201 (last = 0.0000), fitness=0.043777051
633.75 secs, 6767 evals, 6645 steps, improv/step: 0.201 (last = 0.0000), fitness=0.043777051
634.29 secs, 6773 evals, 6651 steps, improv/step: 0.201 (last = 0.1667), fitness=0.043777051
634.88 secs, 6779 evals, 6657 steps, improv/step: 0.201 (last = 0.0000), fitness=0.043777051
635.46 secs, 6785 evals, 6663 steps, improv/step: 0.201 (last = 0.0000), fitness=0.043777051
636.03 secs, 6791 evals, 6669 steps, improv/step: 0.200 (last = 0.0000), fitness=0.043777051
636.60 secs, 6797 evals, 6675 steps, improv/step: 0.200 (last = 0.1667), fitness=0.043777051
637.16 secs, 6803 evals, 6681 steps, improv/step: 0.200 (last = 0.0000), fitness=0.043777051
637.71 secs, 6809 evals, 6687 steps, improv/step: 0.200 (last = 0.0000), fitness=0.043777051
638.27 secs, 6815 evals, 6693 steps, improv/step: 0.200 (last = 0.0000), fitness=0.043777051
638.82 secs, 6821 evals, 6699 steps, improv/step: 0.200 (last = 0.0000), fitness=0.043777051
639.39 secs, 6827 evals, 6705 steps, improv/step: 0.199 (last = 0.0000), fitness=0.043777051
639.95 secs, 6833 evals, 6711 steps, improv/step: 0.199 (last = 0.0000), fitness=0.043777051
640.50 secs, 6839 evals, 6717 steps, improv/step: 0.199 (last = 0.0000), fitness=0.043777051
641.08 secs, 6845 evals, 6723 steps, improv/step: 0.199 (last = 0.0000), fitness=0.043777051
641.63 secs, 6851 evals, 6729 steps, improv/step: 0.199 (last = 0.0000), fitness=0.043777051
642.16 secs, 6857 evals, 6735 steps, improv/step: 0.199 (last = 0.0000), fitness=0.043777051
642.73 secs, 6863 evals, 6741 steps, improv/step: 0.198 (last = 0.0000), fitness=0.043777051
643.30 secs, 6869 evals, 6747 steps, improv/step: 0.198 (last = 0.0000), fitness=0.043777051
643.87 secs, 6875 evals, 6753 steps, improv/step: 0.198 (last = 0.0000), fitness=0.043777051
644.38 secs, 6881 evals, 6759 steps, improv/step: 0.198 (last = 0.1667), fitness=0.043777051
644.92 secs, 6887 evals, 6765 steps, improv/step: 0.198 (last = 0.0000), fitness=0.043777051
645.43 secs, 6893 evals, 6771 steps, improv/step: 0.198 (last = 0.0000), fitness=0.043777051
645.94 secs, 6899 evals, 6777 steps, improv/step: 0.197 (last = 0.0000), fitness=0.043777051
646.46 secs, 6905 evals, 6783 steps, improv/step: 0.197 (last = 0.0000), fitness=0.043777051
647.02 secs, 6911 evals, 6789 steps, improv/step: 0.197 (last = 0.0000), fitness=0.043777051
647.55 secs, 6917 evals, 6795 steps, improv/step: 0.197 (last = 0.0000), fitness=0.043777051
648.08 secs, 6923 evals, 6801 steps, improv/step: 0.197 (last = 0.1667), fitness=0.043777051
648.62 secs, 6929 evals, 6807 steps, improv/step: 0.197 (last = 0.0000), fitness=0.043777051
649.15 secs, 6935 evals, 6813 steps, improv/step: 0.197 (last = 0.0000), fitness=0.043777051
649.69 secs, 6941 evals, 6819 steps, improv/step: 0.196 (last = 0.0000), fitness=0.043777051
650.24 secs, 6947 evals, 6825 steps, improv/step: 0.196 (last = 0.1667), fitness=0.043777051
650.79 secs, 6953 evals, 6831 steps, improv/step: 0.196 (last = 0.0000), fitness=0.043777051
651.34 secs, 6959 evals, 6837 steps, improv/step: 0.196 (last = 0.0000), fitness=0.043777051
651.92 secs, 6965 evals, 6843 steps, improv/step: 0.196 (last = 0.0000), fitness=0.043777051
652.49 secs, 6971 evals, 6849 steps, improv/step: 0.196 (last = 0.1667), fitness=0.043777051
653.04 secs, 6977 evals, 6855 steps, improv/step: 0.196 (last = 0.0000), fitness=0.043777051
653.61 secs, 6983 evals, 6861 steps, improv/step: 0.196 (last = 0.1667), fitness=0.043777051
654.17 secs, 6989 evals, 6867 steps, improv/step: 0.196 (last = 0.1667), fitness=0.043777051
654.73 secs, 6995 evals, 6873 steps, improv/step: 0.195 (last = 0.0000), fitness=0.043777051
655.26 secs, 7001 evals, 6879 steps, improv/step: 0.195 (last = 0.0000), fitness=0.043777051
655.82 secs, 7007 evals, 6885 steps, improv/step: 0.195 (last = 0.1667), fitness=0.043777051
656.40 secs, 7013 evals, 6891 steps, improv/step: 0.195 (last = 0.1667), fitness=0.043777051
656.98 secs, 7019 evals, 6897 steps, improv/step: 0.195 (last = 0.0000), fitness=0.043777051
657.56 secs, 7025 evals, 6903 steps, improv/step: 0.195 (last = 0.0000), fitness=0.043777051
658.14 secs, 7031 evals, 6909 steps, improv/step: 0.195 (last = 0.0000), fitness=0.043777051
658.71 secs, 7037 evals, 6915 steps, improv/step: 0.195 (last = 0.0000), fitness=0.043777051
659.29 secs, 7043 evals, 6921 steps, improv/step: 0.194 (last = 0.0000), fitness=0.043777051
659.86 secs, 7049 evals, 6927 steps, improv/step: 0.194 (last = 0.0000), fitness=0.043777051
660.43 secs, 7055 evals, 6933 steps, improv/step: 0.194 (last = 0.0000), fitness=0.043777051
660.99 secs, 7061 evals, 6939 steps, improv/step: 0.194 (last = 0.1667), fitness=0.043777051
661.56 secs, 7067 evals, 6945 steps, improv/step: 0.194 (last = 0.0000), fitness=0.043777051
662.14 secs, 7073 evals, 6951 steps, improv/step: 0.194 (last = 0.1667), fitness=0.043777051
662.69 secs, 7079 evals, 6957 steps, improv/step: 0.194 (last = 0.1667), fitness=0.043777051
663.24 secs, 7085 evals, 6963 steps, improv/step: 0.194 (last = 0.1667), fitness=0.043777051
663.77 secs, 7091 evals, 6969 steps, improv/step: 0.194 (last = 0.0000), fitness=0.043777051
664.31 secs, 7097 evals, 6975 steps, improv/step: 0.194 (last = 0.1667), fitness=0.043777051
664.86 secs, 7103 evals, 6981 steps, improv/step: 0.193 (last = 0.0000), fitness=0.043777051
665.41 secs, 7109 evals, 6987 steps, improv/step: 0.193 (last = 0.0000), fitness=0.043777051
666.00 secs, 7115 evals, 6993 steps, improv/step: 0.193 (last = 0.0000), fitness=0.043777051
666.55 secs, 7121 evals, 6999 steps, improv/step: 0.193 (last = 0.0000), fitness=0.043777051
667.12 secs, 7127 evals, 7005 steps, improv/step: 0.193 (last = 0.0000), fitness=0.043777051
667.66 secs, 7133 evals, 7011 steps, improv/step: 0.193 (last = 0.1667), fitness=0.043777051
668.20 secs, 7139 evals, 7017 steps, improv/step: 0.193 (last = 0.0000), fitness=0.043777051
668.75 secs, 7145 evals, 7023 steps, improv/step: 0.193 (last = 0.1667), fitness=0.043777051
669.29 secs, 7151 evals, 7029 steps, improv/step: 0.192 (last = 0.0000), fitness=0.043777051
669.83 secs, 7157 evals, 7035 steps, improv/step: 0.192 (last = 0.0000), fitness=0.043777051
670.39 secs, 7163 evals, 7041 steps, improv/step: 0.192 (last = 0.0000), fitness=0.043777051
670.93 secs, 7169 evals, 7047 steps, improv/step: 0.192 (last = 0.0000), fitness=0.043777051
671.49 secs, 7175 evals, 7053 steps, improv/step: 0.192 (last = 0.0000), fitness=0.043777051
672.03 secs, 7181 evals, 7059 steps, improv/step: 0.192 (last = 0.1667), fitness=0.043777051
672.59 secs, 7187 evals, 7065 steps, improv/step: 0.192 (last = 0.0000), fitness=0.043777051
673.11 secs, 7193 evals, 7071 steps, improv/step: 0.191 (last = 0.0000), fitness=0.043777051
673.67 secs, 7199 evals, 7077 steps, improv/step: 0.191 (last = 0.0000), fitness=0.043777051
674.22 secs, 7205 evals, 7083 steps, improv/step: 0.191 (last = 0.0000), fitness=0.043777051
674.74 secs, 7211 evals, 7089 steps, improv/step: 0.191 (last = 0.3333), fitness=0.043777051
675.25 secs, 7217 evals, 7095 steps, improv/step: 0.191 (last = 0.0000), fitness=0.043777051
675.80 secs, 7223 evals, 7101 steps, improv/step: 0.191 (last = 0.0000), fitness=0.043777051
676.38 secs, 7229 evals, 7107 steps, improv/step: 0.191 (last = 0.0000), fitness=0.043777051
676.94 secs, 7235 evals, 7113 steps, improv/step: 0.190 (last = 0.0000), fitness=0.043777051
677.47 secs, 7241 evals, 7119 steps, improv/step: 0.190 (last = 0.0000), fitness=0.043777051
678.00 secs, 7247 evals, 7125 steps, improv/step: 0.190 (last = 0.1667), fitness=0.043777051
678.52 secs, 7253 evals, 7131 steps, improv/step: 0.190 (last = 0.0000), fitness=0.043777051
679.03 secs, 7259 evals, 7137 steps, improv/step: 0.190 (last = 0.1667), fitness=0.043777051
679.56 secs, 7265 evals, 7143 steps, improv/step: 0.190 (last = 0.0000), fitness=0.043777051
680.07 secs, 7271 evals, 7149 steps, improv/step: 0.190 (last = 0.0000), fitness=0.043777051
680.61 secs, 7277 evals, 7155 steps, improv/step: 0.190 (last = 0.0000), fitness=0.043777051
681.12 secs, 7283 evals, 7161 steps, improv/step: 0.190 (last = 0.3333), fitness=0.043777051
681.64 secs, 7289 evals, 7167 steps, improv/step: 0.190 (last = 0.0000), fitness=0.043777051
682.17 secs, 7295 evals, 7173 steps, improv/step: 0.189 (last = 0.0000), fitness=0.043777051
682.70 secs, 7301 evals, 7179 steps, improv/step: 0.189 (last = 0.0000), fitness=0.043777051
683.22 secs, 7307 evals, 7185 steps, improv/step: 0.189 (last = 0.1667), fitness=0.043777051
683.73 secs, 7313 evals, 7191 steps, improv/step: 0.189 (last = 0.0000), fitness=0.043777051
684.24 secs, 7319 evals, 7197 steps, improv/step: 0.189 (last = 0.1667), fitness=0.043777051
684.81 secs, 7325 evals, 7203 steps, improv/step: 0.189 (last = 0.3333), fitness=0.043777051
685.34 secs, 7331 evals, 7209 steps, improv/step: 0.189 (last = 0.0000), fitness=0.043777051
685.89 secs, 7337 evals, 7215 steps, improv/step: 0.189 (last = 0.0000), fitness=0.043777051
686.46 secs, 7343 evals, 7221 steps, improv/step: 0.189 (last = 0.0000), fitness=0.043777051
687.01 secs, 7349 evals, 7227 steps, improv/step: 0.189 (last = 0.0000), fitness=0.043777051
687.54 secs, 7355 evals, 7233 steps, improv/step: 0.188 (last = 0.0000), fitness=0.043777051
688.10 secs, 7361 evals, 7239 steps, improv/step: 0.188 (last = 0.0000), fitness=0.043777051
688.64 secs, 7367 evals, 7245 steps, improv/step: 0.188 (last = 0.1667), fitness=0.043777051
689.19 secs, 7373 evals, 7251 steps, improv/step: 0.188 (last = 0.1667), fitness=0.043777051
689.76 secs, 7379 evals, 7257 steps, improv/step: 0.188 (last = 0.0000), fitness=0.043777051
690.32 secs, 7385 evals, 7263 steps, improv/step: 0.188 (last = 0.1667), fitness=0.043777051
690.89 secs, 7391 evals, 7269 steps, improv/step: 0.188 (last = 0.0000), fitness=0.043777051
691.44 secs, 7397 evals, 7275 steps, improv/step: 0.188 (last = 0.0000), fitness=0.043777051
691.99 secs, 7403 evals, 7281 steps, improv/step: 0.188 (last = 0.0000), fitness=0.043777051
692.56 secs, 7409 evals, 7287 steps, improv/step: 0.187 (last = 0.0000), fitness=0.043777051

======================================================================================
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 214 running 1 of 1

signal (10): User defined signal 1
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:296 [inlined]
firstcaller at ./deprecated.jl:291 [inlined]
macro expansion at ./deprecated.jl:271 [inlined]
macro expansion at ./logging/logging.jl:401 [inlined]
_depwarn at ./deprecated.jl:266
jfptr__depwarn_68879.1 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#957 at ./deprecated.jl:257 [inlined]
depwarn at ./deprecated.jl:252 [inlined]
getindex at ./deprecated.jl:215
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: 0x7d7ec4756f42) 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: 0x7d7ec4755742) 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: 0x7d7ec47355e8) 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: 0x7d7edc6d5e22) 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_55095.1 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_50137.1 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: 0x7d7f037e2249) 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)

693.13 secs, 7414 evals, 7292 steps, improv/step: 0.187 (last = 0.0000), fitness=0.043777051

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

694.35 secs, 7416 evals, 7294 steps, improv/step: 0.187 (last = 0.0000)
======================================================================================
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
wait at ./task.jl:1217
wait_forever at ./task.jl:1139
jfptr_wait_forever_63682.1 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)


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

, fitness=0.043777051┌ 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 0x00007f0d38d4fb20 Total snapshots: 406. Utilization: 0%
   ╎406 @Base/task.jl:1139  wait_forever()
405╎ 406 @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 0x00007d7ee97fc010 Total snapshots: 236. Utilization: 100%
   ╎236 @Base/client.jl:577  _start()
   ╎ 236 @Base/client.jl:310  exec_options(opts::Base.JLOptions)
   ╎  236 @Base/boot.jl:489  eval(m::Module, e::Any)
   ╎   236 @Base/Base.jl:311  (::Base.IncludeInto)(fname::String)
   ╎    236 @Base/Base.jl:310  include(mapexpr::Function, mod::Module, _path::S…
   ╎     236 @Base/loading.jl:3014  _include(mapexpr::Function, mod::Module, _p…
   ╎    ╎ 236 @Base/loading.jl:2954  include_string(mapexpr::typeof(identity), …
   ╎    ╎  236 @Base/boot.jl:489  eval(m::Module, e::Any)
   ╎    ╎   236 @DiffEqParamEstim/…l:353  top-level scope
   ╎    ╎    236 @Base/timing.jl:689  macro expansion
   ╎    ╎     236 @DiffEqParamEstim/…l:4  macro expansion
   ╎    ╎    ╎ 236 @Test/src/Test.jl:1954  macro expansion
   ╎    ╎    ╎  236 @DiffEqParamEstim/…:5  macro expansion
   ╎    ╎    ╎   236 @Base/Base.jl:311  (::Base.IncludeInto)(fname::String)
   ╎    ╎    ╎    236 @Base/Base.jl:310  include(mapexpr::Function, mod::Module…
   ╎    ╎    ╎     236 @Base/loading.jl:3014  _include(mapexpr::Function, mod::…
   ╎    ╎    ╎    ╎ 236 @Base/loading.jl:2954  include_string(mapexpr::typeof(i…
   ╎    ╎    ╎    ╎  236 @Base/boot.jl:489  eval(m::Module, e::Any)
   ╎    ╎    ╎    ╎   236 @BlackBoxOptim/…:91  kwcall(::@NamedTuple{SearchRange…
   ╎    ╎    ╎    ╎    236 @BlackBoxOptim/…:91  bboptimize
   ╎    ╎    ╎    ╎     236 @BlackBoxOptim/…:93  bboptimize(functionOrProblem::…
   ╎    ╎    ╎    ╎    ╎ 236 @BlackBoxOptim/…:470  run!(oc::BlackBoxOptim.OptCo…
   ╎    ╎    ╎    ╎    ╎  236 @BlackBoxOptim/…:321  run!(ctrl::BlackBoxOptim.Op…
   ╎    ╎    ╎    ╎    ╎   236 @BlackBoxOptim/…:274  step!
   ╎    ╎    ╎    ╎    ╎    236 @BlackBoxOptim/…:183  rank_by_fitness!
   ╎    ╎    ╎    ╎    ╎     236 @BlackBoxOptim/…:51  update_fitness!
   ╎    ╎    ╎    ╎    ╎    ╎ 236 @BlackBoxOptim/…:51  #update_fitness!#48
   ╎    ╎    ╎    ╎    ╎    ╎  236 @BlackBoxOptim/…:41  update_fitness!
   ╎    ╎    ╎    ╎    ╎    ╎   236 @BlackBoxOptim/…:45  update_fitness!(f::Not…
   ╎    ╎    ╎    ╎    ╎    ╎    236 @BlackBoxOptim/…:23  update_fitness!
   ╎    ╎    ╎    ╎    ╎    ╎     236 @BlackBoxOptim/…:26  #update_fitness!#45
   ╎    ╎    ╎    ╎    ╎    ╎    ╎ 236 @BlackBoxOptim/…:150  fitness
   ╎    ╎    ╎    ╎    ╎    ╎    ╎  236 @BlackBoxOptim/…:61  fitness
   ╎    ╎    ╎    ╎    ╎    ╎    ╎   236 @SciMLBase/…:4258  OptimizationFunction
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    236 @DiffEqParamEstim/…:10  #37
   ╎    ╎    ╎    ╎    ╎    ╎    ╎     236 @DiffEqParamEstim/…:18  #37
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ 236 @DiffEqParamEstim/…:103  (::L2Loss{…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  236 @Base/…ed.jl:215  getindex(VA::ODE…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎   236 @Base/…ed.jl:252  depwarn
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎    236 @Base/…ed.jl:257  #depwarn#957
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎     236 @Base/…on.jl:1327  invokelatest…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +1 236 @Base/…on.jl:1333  #invokelates…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +2 236 @Base/…ed.jl:266  _depwarn(msg:…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +3 234 @Base/…ng.jl:401  macro expansi…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +4 27  @Base/…ed.jl:270  macro expansi…
 26╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 26  @Base/…or.jl:124  backtrace()
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 1   @Base/…or.jl:125  backtrace()
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 1   @Base/…or.jl:89  _reformat_bt(b…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 1   @Base/…ay.jl:1345  push!
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +8 1   @Base/…ay.jl:1348  _push!
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +9 1   @Base/…ay.jl:1205  _growend!
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ +10 1   @Base/…ay.jl:1181  _growend_int…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ +11 1   @Base/…ay.jl:1101  array_new_me…
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ +12 1   @Base/…ot.jl:588  GenericMemory
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +4 207 @Base/…ed.jl:271  macro expansi…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 207 @Base/…ed.jl:291  firstcaller
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 207 @Base/…ed.jl:296  firstcaller
204╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 205 @Base/…es.jl:110  lookup(pointe…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 1   @Base/…es.jl:115  lookup(pointe…
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +8 1   @Base/…ls.jl:980  getindex
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 1   @Base/…es.jl:121  lookup(pointe…
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +8 1   @Base/…ls.jl:980  getindex
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +3 2   @Base/…ng.jl:407  macro expansi…
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +4 1   @Base/…ck.jl:272  (::Base.var"#…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +4 1   @Base/…er.jl:51  shouldlog(logg…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 1   @Base/…ck.jl:376  macro expansi…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 1   @Base/…ct.jl:505  get
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 1   @Base/…ct.jl:248  ht_keyindex(h…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +8 1   @Base/…ct.jl:134  isslotempty
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +9 1   @Base/…ls.jl:395  getindex
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ +10 1   @Base/…ls.jl:385  checkbounds

709.36 secs, 7417 evals, 7295 steps, improv/step: 0.187 (last = 0.0000), fitness=0.043777051
709.94 secs, 7423 evals, 7301 steps, improv/step: 0.187 (last = 0.0000), fitness=0.043777051
710.51 secs, 7429 evals, 7307 steps, improv/step: 0.187 (last = 0.0000), fitness=0.043777051
711.08 secs, 7435 evals, 7313 steps, improv/step: 0.187 (last = 0.0000), fitness=0.043777051
711.62 secs, 7441 evals, 7319 steps, improv/step: 0.187 (last = 0.0000), fitness=0.043777051
712.17 secs, 7447 evals, 7325 steps, improv/step: 0.186 (last = 0.0000), fitness=0.043777051
712.69 secs, 7453 evals, 7331 steps, improv/step: 0.186 (last = 0.0000), fitness=0.043777051
713.23 secs, 7459 evals, 7337 steps, improv/step: 0.186 (last = 0.0000), fitness=0.043777051
713.73 secs, 7464 evals, 7342 steps, improv/step: 0.186 (last = 0.0000), fitness=0.043777051
714.25 secs, 7470 evals, 7348 steps, improv/step: 0.186 (last = 0.0000), fitness=0.043777051
714.77 secs, 7476 evals, 7354 steps, improv/step: 0.186 (last = 0.0000), fitness=0.043777051
715.30 secs, 7482 evals, 7360 steps, improv/step: 0.186 (last = 0.0000), fitness=0.043777051

[214] signal 15: Terminated
in expression starting at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/test/tests_on_odes/l2loss_test.jl:14
local_find_proc_info at /opt/julia/bin/../lib/julia/libunwind.so.8 (unknown line)
_ULx86_64_Ifind_dynamic_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:296 [inlined]
firstcaller at ./deprecated.jl:291 [inlined]
macro expansion at ./deprecated.jl:271 [inlined]
macro expansion at ./logging/logging.jl:401 [inlined]
_depwarn at ./deprecated.jl:266
jfptr__depwarn_68879.1 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#957 at ./deprecated.jl:257 [inlined]
depwarn at ./deprecated.jl:252 [inlined]
getindex at ./deprecated.jl:215
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: 0x7d7ec4756f42) 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: 0x7d7ec4755742) 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: 0x7d7ec47355e8) 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: 0x7d7edc6d5e22) 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_55095.1 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_50137.1 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: 0x7d7f037e2249) 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: 428194166 (Pool: 428193214; Big: 952); GC: 638

PkgEval terminated after 2726.65s: test duration exceeded the time limit