Package evaluation to test DiffEqParamEstim on Julia 1.14.0-DEV.14 (ec5cf08762*) started at 2025-10-30T20:46:23.425


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

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 8.77s


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

Installing DiffEqParamEstim...
   Resolving package versions...
    Updating `~/.julia/environments/v1.14/Project.toml`
  [1130ab10] + DiffEqParamEstim v2.2.0
    Updating `~/.julia/environments/v1.14/Manifest.toml`
  [47edcb42] + ADTypes v1.18.0
  [7d9f7c33] + Accessors v0.1.42
  [79e6a3ab] + Adapt v4.4.0
  [66dad0bd] + AliasTables v1.1.3
  [4fba245c] + ArrayInterface v7.22.0
  [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 v0.8.15
  [e2ba6199] + ExprTools v0.1.10
  [55351af7] + ExproniconLite v0.10.14
  [7034ab61] + FastBroadcast v0.3.5
  [9aa1b823] + FastClosures v0.3.2
  [a4df4552] + FastPower v1.2.0
  [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 v0.2.6
  [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
  [e6f89c97] + LoggingExtras v1.2.0
  [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 v0.11.36
  [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 v3.39.0
  [189a3867] + Reexport v1.2.2
  [ae029012] + Requires v1.3.1
  [79098fc4] + Rmath v0.9.0
⌃ [7e49a35a] + RuntimeGeneratedFunctions v0.5.12
  [94e857df] + SIMDTypes v0.1.0
  [0bca4576] + SciMLBase v2.124.0
  [a6db7da4] + SciMLLogging v1.3.1
  [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 v1.3.1
  [0d7ed370] + StaticArrayInterface v1.8.0
  [1e83bf80] + StaticArraysCore v1.4.4
  [10745b16] + Statistics v1.11.1
  [82ae8749] + StatsAPI v1.7.1
  [2913bbd2] + StatsBase v0.34.7
  [4c63d2b9] + StatsFuns v1.5.2
  [7792a7ef] + StrideArraysCore v0.5.8
  [2efcf032] + SymbolicIndexingInterface v0.3.46
  [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 v1.0.0
  [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
        Info Packages marked with ⌃ have new versions available and may be upgradable.

Installation completed after 4.96s


################################################################################
# Precompilation
#

Precompiling PkgEval dependencies...

┌ Error: Failed to use TestEnv.jl; test dependencies will not be precompiled
│   exception =
│    UndefVarError: `project_rel_path` not defined in `TestEnv`
│    Suggestion: this global was defined as `Pkg.Operations.project_rel_path` but not assigned a value.
│    Stacktrace:
│     [1] get_test_dir(ctx::Pkg.Types.Context, pkgspec::PackageSpec)
│       @ TestEnv ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/common.jl:75
│     [2] test_dir_has_project_file
│       @ ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/common.jl:52 [inlined]
│     [3] maybe_gen_project_override!
│       @ ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/common.jl:83 [inlined]
│     [4] activate(pkg::String; allow_reresolve::Bool)
│       @ TestEnv ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/activate_set.jl:12
│     [5] activate(pkg::String)
│       @ TestEnv ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/activate_set.jl:9
│     [6] top-level scope
│       @ /PkgEval.jl/scripts/precompile.jl:24
│     [7] include(mod::Module, _path::String)
│       @ Base ./Base.jl:309
│     [8] exec_options(opts::Base.JLOptions)
│       @ Base ./client.jl:344
│     [9] _start()
│       @ Base ./client.jl:577
└ @ Main /PkgEval.jl/scripts/precompile.jl:26
Precompiling package dependencies...
Precompiling packages...
   3375.7 ms  ✓ SciMLOperators → SciMLOperatorsSparseArraysExt
   3758.7 ms  ✓ PenaltyFunctions
  22184.3 ms  ✓ SciMLBase
  12247.3 ms  ✓ Distributions
   6249.8 ms  ✓ DiffEqBase
   5402.0 ms  ✓ SciMLBase → SciMLBaseDistributionsExt
   4236.7 ms  ✓ DiffEqBase → DiffEqBaseSparseArraysExt
   5606.6 ms  ✓ DiffEqParamEstim
  8 dependencies successfully precompiled in 65 seconds. 123 already precompiled.

Precompilation completed after 73.09s


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

     Testing DiffEqParamEstim
      Status `/tmp/jl_LnuJiO/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 v5.1.0
  [3e6eede4] OptimizationBBO v0.4.4
  [4e6fcdb7] OptimizationNLopt v0.3.7
  [36348300] OptimizationOptimJL v0.4.7
  [1dea7af3] OrdinaryDiffEq v6.103.0
  [65888b18] ParameterizedFunctions v5.19.0
  [06bb1623] PenaltyFunctions v0.3.0
  [d236fae5] PreallocationTools v0.4.34
  [731186ca] RecursiveArrayTools v3.39.0
  [0bca4576] SciMLBase v2.124.0
  [1ed8b502] SciMLSensitivity v7.90.0
  [9672c7b4] SteadyStateDiffEq v2.7.0
  [789caeaf] StochasticDiffEq v6.84.0
  [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_LnuJiO/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 v7.22.0
  [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 v1.9.1
  [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 v0.7.10
  [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 v0.13.94
  [f151be2c] EnzymeCore v0.8.15
  [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 v1.1.0
  [a4df4552] FastPower v1.2.0
  [1a297f60] FillArrays v1.14.0
  [64ca27bc] FindFirstFunctions v1.4.2
  [6a86dc24] FiniteDiff v2.29.0
  [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 v0.2.6
  [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
  [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 v3.46.1
  [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 v10.26.1
  [2e0e35c7] Moshi v0.3.7
  [46d2c3a1] MuladdMacro v0.2.4
  [102ac46a] MultivariatePolynomials v0.5.13
  [d8a4904e] MutableArithmetics v1.6.7
  [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 v5.1.0
  [3e6eede4] OptimizationBBO v0.4.4
  [bca83a33] OptimizationBase v4.0.1
  [4e6fcdb7] OptimizationNLopt v0.3.7
  [36348300] OptimizationOptimJL v0.4.7
  [bac558e1] OrderedCollections v1.8.1
  [1dea7af3] OrdinaryDiffEq v6.103.0
  [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 v0.11.36
  [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 v3.39.0
  [189a3867] Reexport v1.2.2
  [ae029012] Requires v1.3.1
  [ae5879a3] ResettableStacks v1.1.1
  [37e2e3b7] ReverseDiff v1.16.1
  [79098fc4] Rmath v0.9.0
⌃ [7e49a35a] RuntimeGeneratedFunctions v0.5.12
  [9dfe8606] SCCNonlinearSolve v1.6.0
  [94e857df] SIMDTypes v0.1.0
  [0bca4576] SciMLBase v2.124.0
  [19f34311] SciMLJacobianOperators v0.1.11
  [a6db7da4] SciMLLogging v1.3.1
  [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 v1.1.2
  [dc90abb0] SparseInverseSubset v0.1.2
  [0a514795] SparseMatrixColorings v0.4.22
  [d4ead438] SpatialIndexing v0.1.6
  [276daf66] SpecialFunctions v2.6.1
  [aedffcd0] Static v1.3.1
  [0d7ed370] StaticArrayInterface v1.8.0
  [90137ffa] StaticArrays v1.9.15
  [1e83bf80] StaticArraysCore v1.4.4
  [10745b16] Statistics v1.11.1
  [82ae8749] StatsAPI v1.7.1
  [2913bbd2] StatsBase v0.34.7
  [4c63d2b9] StatsFuns v1.5.2
  [9672c7b4] SteadyStateDiffEq v2.7.0
  [789caeaf] StochasticDiffEq v6.84.0
  [7792a7ef] StrideArraysCore v0.5.8
  [09ab397b] StructArrays v0.7.2
  [53d494c1] StructIO v0.3.1
  [c3572dad] Sundials v5.1.0
  [2efcf032] SymbolicIndexingInterface v0.3.46
⌃ [19f23fe9] SymbolicLimits v0.2.3
⌅ [d1185830] SymbolicUtils v3.32.0
  [0c5d862f] Symbolics v6.57.0
  [3783bdb8] TableTraits v1.0.1
  [bd369af6] Tables v1.12.1
  [ed4db957] TaskLocalValues v0.1.3
  [8ea1fca8] TermInterface v2.0.0
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  [700de1a5] ZygoteRules v0.2.7
  [cd4c43a9] Dierckx_jll v0.2.0+0
⌅ [7cc45869] Enzyme_jll v0.0.205+0
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  [1d5cc7b8] IntelOpenMP_jll v2025.2.0+0
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  [ad6e5548] LibTracyClient_jll v0.9.1+6
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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/b28X4/src/utils.jl:121
┌ Warning: Independent variable t should be defined with @independent_variables t.
└ @ ModelingToolkit ~/.julia/packages/ModelingToolkit/b28X4/src/utils.jl:121
┌ Warning: Independent variable t should be defined with @independent_variables t.
└ @ ModelingToolkit ~/.julia/packages/ModelingToolkit/b28X4/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"##141"{var"###ParameterizedDiffEqFunction#143", var"###ParameterizedTGradFunction#144", var"###ParameterizedJacobianFunction#145", 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"##141"{var"###ParameterizedDiffEqFunction#143", var"###ParameterizedTGradFunction#144", var"###ParameterizedJacobianFunction#145", 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
0.51 secs, 6 evals, 3 steps, fitness=40.481667969
1.01 secs, 12 evals, 6 steps, improv/step: 0.167 (last = 0.3333), fitness=5.690705599
1.55 secs, 18 evals, 9 steps, improv/step: 0.222 (last = 0.3333), fitness=5.690705599
2.08 secs, 26 evals, 13 steps, improv/step: 0.308 (last = 0.5000), fitness=5.690705599
2.67 secs, 35 evals, 18 steps, improv/step: 0.278 (last = 0.2000), fitness=5.690705599
3.23 secs, 43 evals, 22 steps, improv/step: 0.273 (last = 0.2500), fitness=5.690705599
3.76 secs, 51 evals, 27 steps, improv/step: 0.333 (last = 0.6000), fitness=5.690705599
4.31 secs, 58 evals, 31 steps, improv/step: 0.387 (last = 0.7500), fitness=1.318105632
4.86 secs, 66 evals, 35 steps, improv/step: 0.371 (last = 0.2500), fitness=1.318105632
5.40 secs, 74 evals, 40 steps, improv/step: 0.375 (last = 0.4000), fitness=0.130259001
5.95 secs, 82 evals, 44 steps, improv/step: 0.386 (last = 0.5000), fitness=0.130259001
6.51 secs, 90 evals, 50 steps, improv/step: 0.400 (last = 0.5000), fitness=0.130259001
7.04 secs, 98 evals, 54 steps, improv/step: 0.407 (last = 0.5000), fitness=0.130259001
7.57 secs, 106 evals, 58 steps, improv/step: 0.414 (last = 0.5000), fitness=0.130259001
8.18 secs, 115 evals, 64 steps, improv/step: 0.391 (last = 0.1667), fitness=0.130259001
8.71 secs, 123 evals, 69 steps, improv/step: 0.391 (last = 0.4000), fitness=0.130259001
9.31 secs, 132 evals, 77 steps, improv/step: 0.403 (last = 0.5000), fitness=0.130259001
9.91 secs, 141 evals, 82 steps, improv/step: 0.402 (last = 0.4000), fitness=0.130259001
10.46 secs, 149 evals, 87 steps, improv/step: 0.391 (last = 0.2000), fitness=0.130259001
11.00 secs, 157 evals, 93 steps, improv/step: 0.387 (last = 0.3333), fitness=0.130259001
11.60 secs, 166 evals, 98 steps, improv/step: 0.378 (last = 0.2000), fitness=0.130259001
12.21 secs, 175 evals, 104 steps, improv/step: 0.394 (last = 0.6667), fitness=0.130259001
12.82 secs, 184 evals, 109 steps, improv/step: 0.385 (last = 0.2000), fitness=0.130259001
13.43 secs, 193 evals, 114 steps, improv/step: 0.395 (last = 0.6000), fitness=0.130259001
13.97 secs, 201 evals, 120 steps, improv/step: 0.408 (last = 0.6667), fitness=0.130259001
14.59 secs, 210 evals, 125 steps, improv/step: 0.408 (last = 0.4000), fitness=0.130259001
15.13 secs, 218 evals, 132 steps, improv/step: 0.402 (last = 0.2857), fitness=0.130259001
15.64 secs, 225 evals, 138 steps, improv/step: 0.399 (last = 0.3333), fitness=0.130259001
16.19 secs, 233 evals, 145 steps, improv/step: 0.386 (last = 0.1429), fitness=0.130259001
16.74 secs, 241 evals, 152 steps, improv/step: 0.382 (last = 0.2857), fitness=0.130259001
17.29 secs, 249 evals, 158 steps, improv/step: 0.380 (last = 0.3333), fitness=0.130259001
17.83 secs, 257 evals, 166 steps, improv/step: 0.386 (last = 0.5000), fitness=0.130259001
18.36 secs, 265 evals, 173 steps, improv/step: 0.382 (last = 0.2857), fitness=0.130259001
18.91 secs, 273 evals, 180 steps, improv/step: 0.378 (last = 0.2857), fitness=0.130259001
19.47 secs, 281 evals, 187 steps, improv/step: 0.374 (last = 0.2857), fitness=0.130259001
19.98 secs, 288 evals, 193 steps, improv/step: 0.378 (last = 0.5000), fitness=0.130259001
20.52 secs, 296 evals, 199 steps, improv/step: 0.382 (last = 0.5000), fitness=0.130259001
21.05 secs, 304 evals, 206 steps, improv/step: 0.379 (last = 0.2857), fitness=0.130259001
21.62 secs, 312 evals, 214 steps, improv/step: 0.388 (last = 0.6250), fitness=0.070372629
22.16 secs, 319 evals, 220 steps, improv/step: 0.382 (last = 0.1667), fitness=0.070372629
22.67 secs, 326 evals, 226 steps, improv/step: 0.376 (last = 0.1667), fitness=0.070372629
23.20 secs, 334 evals, 232 steps, improv/step: 0.375 (last = 0.3333), fitness=0.070372629
23.74 secs, 342 evals, 238 steps, improv/step: 0.378 (last = 0.5000), fitness=0.070372629
24.28 secs, 350 evals, 245 steps, improv/step: 0.380 (last = 0.4286), fitness=0.070372629
24.83 secs, 358 evals, 252 steps, improv/step: 0.381 (last = 0.4286), fitness=0.070372629
25.38 secs, 366 evals, 258 steps, improv/step: 0.384 (last = 0.5000), fitness=0.070372629
26.00 secs, 375 evals, 265 steps, improv/step: 0.381 (last = 0.2857), fitness=0.070372629
26.56 secs, 383 evals, 272 steps, improv/step: 0.379 (last = 0.2857), fitness=0.070372629
27.17 secs, 392 evals, 280 steps, improv/step: 0.371 (last = 0.1250), fitness=0.070372629
27.70 secs, 400 evals, 288 steps, improv/step: 0.372 (last = 0.3750), fitness=0.070372629
28.24 secs, 408 evals, 295 steps, improv/step: 0.366 (last = 0.1429), fitness=0.070372629
28.77 secs, 416 evals, 302 steps, improv/step: 0.368 (last = 0.4286), fitness=0.070372629
29.31 secs, 424 evals, 309 steps, improv/step: 0.375 (last = 0.7143), fitness=0.070372629
29.85 secs, 432 evals, 315 steps, improv/step: 0.381 (last = 0.6667), fitness=0.070372629
30.40 secs, 440 evals, 323 steps, improv/step: 0.378 (last = 0.2500), fitness=0.056681262
30.95 secs, 448 evals, 331 steps, improv/step: 0.381 (last = 0.5000), fitness=0.056681262
31.50 secs, 456 evals, 339 steps, improv/step: 0.381 (last = 0.3750), fitness=0.056681262
32.03 secs, 464 evals, 346 steps, improv/step: 0.379 (last = 0.2857), fitness=0.056681262
32.56 secs, 472 evals, 354 steps, improv/step: 0.381 (last = 0.5000), fitness=0.056681262
33.09 secs, 480 evals, 362 steps, improv/step: 0.381 (last = 0.3750), fitness=0.056681262
33.64 secs, 488 evals, 370 steps, improv/step: 0.384 (last = 0.5000), fitness=0.038103913
34.18 secs, 496 evals, 378 steps, improv/step: 0.378 (last = 0.1250), fitness=0.038103913
34.69 secs, 503 evals, 385 steps, improv/step: 0.377 (last = 0.2857), fitness=0.038103913
35.23 secs, 510 evals, 392 steps, improv/step: 0.372 (last = 0.1429), fitness=0.038103913
35.77 secs, 518 evals, 400 steps, improv/step: 0.367 (last = 0.1250), fitness=0.038103913
36.30 secs, 526 evals, 408 steps, improv/step: 0.368 (last = 0.3750), fitness=0.038103913
36.83 secs, 534 evals, 416 steps, improv/step: 0.370 (last = 0.5000), fitness=0.038103913
37.36 secs, 542 evals, 423 steps, improv/step: 0.369 (last = 0.2857), fitness=0.038103913
37.89 secs, 549 evals, 429 steps, improv/step: 0.371 (last = 0.5000), fitness=0.038103913
38.42 secs, 557 evals, 437 steps, improv/step: 0.368 (last = 0.2500), fitness=0.038103913
38.96 secs, 565 evals, 445 steps, improv/step: 0.371 (last = 0.5000), fitness=0.037621922
39.50 secs, 573 evals, 453 steps, improv/step: 0.375 (last = 0.6250), fitness=0.037481892
40.03 secs, 581 evals, 461 steps, improv/step: 0.377 (last = 0.5000), fitness=0.037481892
40.57 secs, 589 evals, 469 steps, improv/step: 0.377 (last = 0.3750), fitness=0.037481892
41.10 secs, 597 evals, 477 steps, improv/step: 0.377 (last = 0.3750), fitness=0.037481892
41.62 secs, 605 evals, 485 steps, improv/step: 0.377 (last = 0.3750), fitness=0.037481892
42.15 secs, 613 evals, 493 steps, improv/step: 0.373 (last = 0.1250), fitness=0.037481892
42.68 secs, 621 evals, 501 steps, improv/step: 0.369 (last = 0.1250), fitness=0.037481892
43.21 secs, 629 evals, 509 steps, improv/step: 0.369 (last = 0.3750), fitness=0.037481892
43.74 secs, 637 evals, 517 steps, improv/step: 0.369 (last = 0.3750), fitness=0.037481892
44.26 secs, 645 evals, 525 steps, improv/step: 0.366 (last = 0.1250), fitness=0.037481892
44.79 secs, 653 evals, 533 steps, improv/step: 0.366 (last = 0.3750), fitness=0.037481892
45.31 secs, 661 evals, 541 steps, improv/step: 0.366 (last = 0.3750), fitness=0.037448688
45.84 secs, 669 evals, 549 steps, improv/step: 0.368 (last = 0.5000), fitness=0.037448688
46.38 secs, 677 evals, 557 steps, improv/step: 0.368 (last = 0.3750), fitness=0.037448688
46.93 secs, 685 evals, 565 steps, improv/step: 0.368 (last = 0.3750), fitness=0.037448688
47.48 secs, 693 evals, 573 steps, improv/step: 0.370 (last = 0.5000), fitness=0.037448688
47.99 secs, 700 evals, 580 steps, improv/step: 0.367 (last = 0.1429), fitness=0.037448688
48.52 secs, 708 evals, 588 steps, improv/step: 0.371 (last = 0.6250), fitness=0.037448688
49.05 secs, 716 evals, 596 steps, improv/step: 0.369 (last = 0.2500), fitness=0.037448688
49.59 secs, 724 evals, 604 steps, improv/step: 0.368 (last = 0.2500), fitness=0.037448688
50.12 secs, 732 evals, 612 steps, improv/step: 0.364 (last = 0.1250), fitness=0.037448688
50.66 secs, 739 evals, 619 steps, improv/step: 0.363 (last = 0.2857), fitness=0.037448688
51.19 secs, 747 evals, 627 steps, improv/step: 0.362 (last = 0.2500), fitness=0.037448688
51.72 secs, 755 evals, 635 steps, improv/step: 0.364 (last = 0.5000), fitness=0.037448688
52.26 secs, 763 evals, 643 steps, improv/step: 0.361 (last = 0.1250), fitness=0.037448688
52.81 secs, 771 evals, 651 steps, improv/step: 0.361 (last = 0.3750), fitness=0.037448688
53.35 secs, 779 evals, 659 steps, improv/step: 0.364 (last = 0.6250), fitness=0.037448688
53.90 secs, 787 evals, 667 steps, improv/step: 0.363 (last = 0.2500), fitness=0.037448688
54.41 secs, 794 evals, 674 steps, improv/step: 0.364 (last = 0.4286), fitness=0.037448688
54.95 secs, 802 evals, 682 steps, improv/step: 0.367 (last = 0.6250), fitness=0.037448688
55.47 secs, 810 evals, 690 steps, improv/step: 0.368 (last = 0.5000), fitness=0.037448688
56.00 secs, 818 evals, 698 steps, improv/step: 0.368 (last = 0.3750), fitness=0.037448688
56.53 secs, 826 evals, 706 steps, improv/step: 0.371 (last = 0.6250), fitness=0.037425483
57.09 secs, 834 evals, 714 steps, improv/step: 0.371 (last = 0.3750), fitness=0.037425483
57.63 secs, 842 evals, 722 steps, improv/step: 0.368 (last = 0.1250), fitness=0.037425483
58.18 secs, 850 evals, 730 steps, improv/step: 0.368 (last = 0.3750), fitness=0.037425483
58.71 secs, 858 evals, 738 steps, improv/step: 0.369 (last = 0.3750), fitness=0.037425483
59.24 secs, 866 evals, 746 steps, improv/step: 0.370 (last = 0.5000), fitness=0.037425257
59.78 secs, 874 evals, 754 steps, improv/step: 0.371 (last = 0.5000), fitness=0.037425257
60.32 secs, 882 evals, 762 steps, improv/step: 0.371 (last = 0.3750), fitness=0.037421856
60.85 secs, 890 evals, 770 steps, improv/step: 0.370 (last = 0.2500), fitness=0.037421856
61.39 secs, 897 evals, 777 steps, improv/step: 0.368 (last = 0.1429), fitness=0.037421856
61.93 secs, 905 evals, 785 steps, improv/step: 0.366 (last = 0.1250), fitness=0.037421856
62.46 secs, 913 evals, 793 steps, improv/step: 0.366 (last = 0.3750), fitness=0.037421856
62.99 secs, 921 evals, 801 steps, improv/step: 0.368 (last = 0.6250), fitness=0.037421856
63.53 secs, 929 evals, 809 steps, improv/step: 0.367 (last = 0.2500), fitness=0.037420753
64.07 secs, 937 evals, 817 steps, improv/step: 0.367 (last = 0.3750), fitness=0.037420753
64.60 secs, 944 evals, 824 steps, improv/step: 0.368 (last = 0.4286), fitness=0.037420753
65.13 secs, 951 evals, 831 steps, improv/step: 0.367 (last = 0.2857), fitness=0.037420753
65.63 secs, 958 evals, 838 steps, improv/step: 0.364 (last = 0.0000), fitness=0.037420753
66.15 secs, 965 evals, 845 steps, improv/step: 0.364 (last = 0.4286), fitness=0.037420753
66.69 secs, 973 evals, 853 steps, improv/step: 0.361 (last = 0.0000), fitness=0.037420753
67.22 secs, 981 evals, 861 steps, improv/step: 0.361 (last = 0.3750), fitness=0.037420753
67.75 secs, 989 evals, 869 steps, improv/step: 0.362 (last = 0.5000), fitness=0.037420753
68.29 secs, 997 evals, 877 steps, improv/step: 0.363 (last = 0.3750), fitness=0.037420753
68.86 secs, 1005 evals, 885 steps, improv/step: 0.359 (last = 0.0000), fitness=0.037420753
69.38 secs, 1013 evals, 893 steps, improv/step: 0.358 (last = 0.2500), fitness=0.037420753
69.93 secs, 1021 evals, 901 steps, improv/step: 0.358 (last = 0.3750), fitness=0.037420753
70.46 secs, 1029 evals, 909 steps, improv/step: 0.359 (last = 0.3750), fitness=0.037420753
70.99 secs, 1037 evals, 917 steps, improv/step: 0.358 (last = 0.2500), fitness=0.037420753
71.53 secs, 1045 evals, 925 steps, improv/step: 0.358 (last = 0.3750), fitness=0.037420753
72.06 secs, 1053 evals, 933 steps, improv/step: 0.356 (last = 0.1250), fitness=0.037420753
72.60 secs, 1061 evals, 941 steps, improv/step: 0.355 (last = 0.2500), fitness=0.037420753
73.14 secs, 1069 evals, 949 steps, improv/step: 0.357 (last = 0.6250), fitness=0.037420753
73.67 secs, 1077 evals, 957 steps, improv/step: 0.357 (last = 0.3750), fitness=0.037420753
74.21 secs, 1085 evals, 965 steps, improv/step: 0.355 (last = 0.1250), fitness=0.037420753
74.75 secs, 1093 evals, 973 steps, improv/step: 0.354 (last = 0.1250), fitness=0.037420753
75.28 secs, 1101 evals, 981 steps, improv/step: 0.355 (last = 0.5000), fitness=0.037420753
75.82 secs, 1109 evals, 989 steps, improv/step: 0.356 (last = 0.5000), fitness=0.037420753
76.35 secs, 1116 evals, 996 steps, improv/step: 0.355 (last = 0.2857), fitness=0.037420753
76.85 secs, 1123 evals, 1003 steps, improv/step: 0.354 (last = 0.1429), fitness=0.037420753
77.37 secs, 1130 evals, 1010 steps, improv/step: 0.354 (last = 0.4286), fitness=0.037420753
77.87 secs, 1137 evals, 1017 steps, improv/step: 0.355 (last = 0.4286), fitness=0.037420753
78.41 secs, 1145 evals, 1025 steps, improv/step: 0.356 (last = 0.5000), fitness=0.037420753
78.95 secs, 1153 evals, 1033 steps, improv/step: 0.356 (last = 0.3750), fitness=0.037420753
79.49 secs, 1161 evals, 1041 steps, improv/step: 0.356 (last = 0.3750), fitness=0.037420753
80.03 secs, 1169 evals, 1049 steps, improv/step: 0.357 (last = 0.5000), fitness=0.037420753
80.58 secs, 1177 evals, 1057 steps, improv/step: 0.356 (last = 0.1250), fitness=0.037420753
81.09 secs, 1184 evals, 1064 steps, improv/step: 0.355 (last = 0.2857), fitness=0.037420753
81.61 secs, 1191 evals, 1071 steps, improv/step: 0.357 (last = 0.5714), fitness=0.037420753
82.15 secs, 1199 evals, 1079 steps, improv/step: 0.356 (last = 0.2500), fitness=0.037420753
82.69 secs, 1207 evals, 1087 steps, improv/step: 0.357 (last = 0.5000), fitness=0.037420753
83.22 secs, 1215 evals, 1095 steps, improv/step: 0.357 (last = 0.3750), fitness=0.037420753
83.78 secs, 1223 evals, 1103 steps, improv/step: 0.359 (last = 0.6250), fitness=0.037420753
84.32 secs, 1231 evals, 1111 steps, improv/step: 0.359 (last = 0.3750), fitness=0.037420753
84.85 secs, 1239 evals, 1119 steps, improv/step: 0.358 (last = 0.2500), fitness=0.037420753
85.39 secs, 1247 evals, 1127 steps, improv/step: 0.357 (last = 0.1250), fitness=0.037420753
85.92 secs, 1255 evals, 1135 steps, improv/step: 0.355 (last = 0.1250), fitness=0.037420753
86.47 secs, 1263 evals, 1143 steps, improv/step: 0.356 (last = 0.5000), fitness=0.037420753
87.02 secs, 1271 evals, 1151 steps, improv/step: 0.355 (last = 0.2500), fitness=0.037420753
87.56 secs, 1279 evals, 1159 steps, improv/step: 0.355 (last = 0.3750), fitness=0.037420753
88.10 secs, 1287 evals, 1167 steps, improv/step: 0.356 (last = 0.5000), fitness=0.037420750
88.64 secs, 1295 evals, 1175 steps, improv/step: 0.358 (last = 0.6250), fitness=0.037420750
89.17 secs, 1303 evals, 1183 steps, improv/step: 0.360 (last = 0.6250), fitness=0.037420750
89.72 secs, 1311 evals, 1191 steps, improv/step: 0.359 (last = 0.2500), fitness=0.037420750
90.26 secs, 1319 evals, 1199 steps, improv/step: 0.360 (last = 0.5000), fitness=0.037420750
90.79 secs, 1327 evals, 1207 steps, improv/step: 0.360 (last = 0.3750), fitness=0.037420750
91.34 secs, 1335 evals, 1215 steps, improv/step: 0.360 (last = 0.3750), fitness=0.037420750
91.89 secs, 1343 evals, 1223 steps, improv/step: 0.359 (last = 0.1250), fitness=0.037420750
92.44 secs, 1351 evals, 1231 steps, improv/step: 0.357 (last = 0.0000), fitness=0.037420750
92.99 secs, 1359 evals, 1239 steps, improv/step: 0.357 (last = 0.3750), fitness=0.037420750
93.53 secs, 1367 evals, 1247 steps, improv/step: 0.359 (last = 0.7500), fitness=0.037420750
94.07 secs, 1375 evals, 1255 steps, improv/step: 0.359 (last = 0.3750), fitness=0.037420750
94.61 secs, 1383 evals, 1263 steps, improv/step: 0.359 (last = 0.2500), fitness=0.037420750
95.15 secs, 1391 evals, 1271 steps, improv/step: 0.358 (last = 0.2500), fitness=0.037420750
95.68 secs, 1399 evals, 1279 steps, improv/step: 0.357 (last = 0.2500), fitness=0.037420750
96.22 secs, 1407 evals, 1287 steps, improv/step: 0.357 (last = 0.3750), fitness=0.037420750
96.77 secs, 1414 evals, 1294 steps, improv/step: 0.357 (last = 0.2857), fitness=0.037420750
97.30 secs, 1422 evals, 1302 steps, improv/step: 0.356 (last = 0.2500), fitness=0.037420750
97.83 secs, 1430 evals, 1310 steps, improv/step: 0.355 (last = 0.1250), fitness=0.037420750
98.37 secs, 1438 evals, 1318 steps, improv/step: 0.355 (last = 0.3750), fitness=0.037420747
98.91 secs, 1446 evals, 1326 steps, improv/step: 0.357 (last = 0.6250), fitness=0.037420747
99.44 secs, 1454 evals, 1334 steps, improv/step: 0.355 (last = 0.1250), fitness=0.037420747
99.99 secs, 1462 evals, 1342 steps, improv/step: 0.355 (last = 0.2500), fitness=0.037420747
100.55 secs, 1470 evals, 1350 steps, improv/step: 0.355 (last = 0.3750), fitness=0.037420747
101.12 secs, 1478 evals, 1358 steps, improv/step: 0.354 (last = 0.2500), fitness=0.037420747
101.69 secs, 1485 evals, 1365 steps, improv/step: 0.355 (last = 0.5714), fitness=0.037420747
102.28 secs, 1492 evals, 1372 steps, improv/step: 0.354 (last = 0.1429), fitness=0.037420747
102.85 secs, 1499 evals, 1379 steps, improv/step: 0.355 (last = 0.4286), fitness=0.037420747
103.42 secs, 1506 evals, 1386 steps, improv/step: 0.355 (last = 0.4286), fitness=0.037420747
103.99 secs, 1513 evals, 1393 steps, improv/step: 0.355 (last = 0.4286), fitness=0.037420747
104.58 secs, 1520 evals, 1400 steps, improv/step: 0.356 (last = 0.5714), fitness=0.037420747
105.14 secs, 1527 evals, 1407 steps, improv/step: 0.356 (last = 0.2857), fitness=0.037420747
105.65 secs, 1534 evals, 1414 steps, improv/step: 0.356 (last = 0.4286), fitness=0.037420747
106.17 secs, 1541 evals, 1421 steps, improv/step: 0.355 (last = 0.1429), fitness=0.037420747
106.70 secs, 1549 evals, 1429 steps, improv/step: 0.355 (last = 0.3750), fitness=0.037420747
107.23 secs, 1557 evals, 1437 steps, improv/step: 0.355 (last = 0.2500), fitness=0.037420747
107.79 secs, 1564 evals, 1444 steps, improv/step: 0.355 (last = 0.4286), fitness=0.037420747
108.30 secs, 1570 evals, 1450 steps, improv/step: 0.355 (last = 0.3333), fitness=0.037420747
108.88 secs, 1577 evals, 1457 steps, improv/step: 0.354 (last = 0.1429), fitness=0.037420747
109.41 secs, 1584 evals, 1464 steps, improv/step: 0.355 (last = 0.5714), fitness=0.037420736
109.96 secs, 1592 evals, 1472 steps, improv/step: 0.355 (last = 0.3750), fitness=0.037420736
110.50 secs, 1600 evals, 1480 steps, improv/step: 0.355 (last = 0.2500), fitness=0.037420736
111.03 secs, 1608 evals, 1488 steps, improv/step: 0.354 (last = 0.2500), fitness=0.037420736
111.56 secs, 1616 evals, 1496 steps, improv/step: 0.355 (last = 0.5000), fitness=0.037420736
112.10 secs, 1623 evals, 1503 steps, improv/step: 0.356 (last = 0.5714), fitness=0.037420736
112.65 secs, 1631 evals, 1511 steps, improv/step: 0.355 (last = 0.2500), fitness=0.037420736
113.17 secs, 1639 evals, 1519 steps, improv/step: 0.357 (last = 0.6250), fitness=0.037420736
113.70 secs, 1647 evals, 1527 steps, improv/step: 0.357 (last = 0.3750), fitness=0.037420736
114.24 secs, 1655 evals, 1535 steps, improv/step: 0.355 (last = 0.0000), fitness=0.037420736
114.79 secs, 1663 evals, 1543 steps, improv/step: 0.356 (last = 0.6250), fitness=0.037420736
115.32 secs, 1671 evals, 1551 steps, improv/step: 0.355 (last = 0.1250), fitness=0.037420736
115.84 secs, 1678 evals, 1558 steps, improv/step: 0.356 (last = 0.5714), fitness=0.037420736
116.37 secs, 1686 evals, 1566 steps, improv/step: 0.357 (last = 0.5000), fitness=0.037420736
116.90 secs, 1694 evals, 1574 steps, improv/step: 0.356 (last = 0.2500), fitness=0.037420736
117.43 secs, 1702 evals, 1582 steps, improv/step: 0.356 (last = 0.2500), fitness=0.037420736
118.00 secs, 1710 evals, 1590 steps, improv/step: 0.355 (last = 0.2500), fitness=0.037420736
118.55 secs, 1718 evals, 1598 steps, improv/step: 0.357 (last = 0.6250), fitness=0.037420736
119.07 secs, 1726 evals, 1606 steps, improv/step: 0.357 (last = 0.5000), fitness=0.037420736
119.61 secs, 1734 evals, 1614 steps, improv/step: 0.358 (last = 0.5000), fitness=0.037420736
120.16 secs, 1742 evals, 1622 steps, improv/step: 0.359 (last = 0.6250), fitness=0.037420736
120.71 secs, 1750 evals, 1630 steps, improv/step: 0.360 (last = 0.3750), fitness=0.037420736
121.24 secs, 1758 evals, 1638 steps, improv/step: 0.360 (last = 0.5000), fitness=0.037420736
121.80 secs, 1765 evals, 1645 steps, improv/step: 0.360 (last = 0.2857), fitness=0.037420736
122.32 secs, 1773 evals, 1653 steps, improv/step: 0.359 (last = 0.2500), fitness=0.037420736
122.85 secs, 1781 evals, 1661 steps, improv/step: 0.359 (last = 0.3750), fitness=0.037420735
123.38 secs, 1789 evals, 1669 steps, improv/step: 0.359 (last = 0.2500), fitness=0.037420735
123.91 secs, 1797 evals, 1677 steps, improv/step: 0.359 (last = 0.3750), fitness=0.037420735
124.44 secs, 1805 evals, 1685 steps, improv/step: 0.360 (last = 0.6250), fitness=0.037420735
124.98 secs, 1813 evals, 1693 steps, improv/step: 0.359 (last = 0.1250), fitness=0.037420735
125.51 secs, 1821 evals, 1701 steps, improv/step: 0.360 (last = 0.5000), fitness=0.037420735
126.04 secs, 1829 evals, 1709 steps, improv/step: 0.360 (last = 0.5000), fitness=0.037420735
126.57 secs, 1837 evals, 1717 steps, improv/step: 0.359 (last = 0.1250), fitness=0.037420735
127.10 secs, 1845 evals, 1725 steps, improv/step: 0.359 (last = 0.2500), fitness=0.037420735
127.64 secs, 1852 evals, 1732 steps, improv/step: 0.360 (last = 0.5714), fitness=0.037420735
128.18 secs, 1860 evals, 1740 steps, improv/step: 0.359 (last = 0.1250), fitness=0.037420735
128.71 secs, 1868 evals, 1748 steps, improv/step: 0.358 (last = 0.1250), fitness=0.037420735
129.24 secs, 1876 evals, 1756 steps, improv/step: 0.358 (last = 0.3750), fitness=0.037420735
129.78 secs, 1884 evals, 1764 steps, improv/step: 0.357 (last = 0.1250), fitness=0.037420735
130.30 secs, 1892 evals, 1772 steps, improv/step: 0.357 (last = 0.5000), fitness=0.037420735
130.85 secs, 1900 evals, 1780 steps, improv/step: 0.357 (last = 0.2500), fitness=0.037420735
131.39 secs, 1908 evals, 1788 steps, improv/step: 0.357 (last = 0.3750), fitness=0.037420735
131.92 secs, 1916 evals, 1796 steps, improv/step: 0.357 (last = 0.3750), fitness=0.037420735
132.46 secs, 1924 evals, 1804 steps, improv/step: 0.356 (last = 0.1250), fitness=0.037420735
132.99 secs, 1932 evals, 1812 steps, improv/step: 0.356 (last = 0.3750), fitness=0.037420735
133.53 secs, 1940 evals, 1820 steps, improv/step: 0.354 (last = 0.0000), fitness=0.037420735
134.06 secs, 1948 evals, 1828 steps, improv/step: 0.353 (last = 0.1250), fitness=0.037420735
134.60 secs, 1956 evals, 1836 steps, improv/step: 0.354 (last = 0.5000), fitness=0.037420735
135.12 secs, 1964 evals, 1844 steps, improv/step: 0.354 (last = 0.2500), fitness=0.037420735
135.66 secs, 1972 evals, 1852 steps, improv/step: 0.355 (last = 0.6250), fitness=0.037420735
136.19 secs, 1980 evals, 1860 steps, improv/step: 0.354 (last = 0.1250), fitness=0.037420735
136.72 secs, 1988 evals, 1868 steps, improv/step: 0.353 (last = 0.1250), fitness=0.037420735
137.27 secs, 1996 evals, 1876 steps, improv/step: 0.351 (last = 0.0000), fitness=0.037420735
137.80 secs, 2004 evals, 1884 steps, improv/step: 0.350 (last = 0.1250), fitness=0.037420735
138.33 secs, 2012 evals, 1892 steps, improv/step: 0.350 (last = 0.2500), fitness=0.037420735
138.87 secs, 2020 evals, 1900 steps, improv/step: 0.349 (last = 0.2500), fitness=0.037420735
139.40 secs, 2028 evals, 1908 steps, improv/step: 0.349 (last = 0.2500), fitness=0.037420735
139.94 secs, 2036 evals, 1916 steps, improv/step: 0.349 (last = 0.3750), fitness=0.037420735
140.47 secs, 2044 evals, 1924 steps, improv/step: 0.348 (last = 0.0000), fitness=0.037420735
140.99 secs, 2052 evals, 1932 steps, improv/step: 0.347 (last = 0.2500), fitness=0.037420735
141.53 secs, 2060 evals, 1940 steps, improv/step: 0.347 (last = 0.3750), fitness=0.037420735
142.06 secs, 2068 evals, 1948 steps, improv/step: 0.348 (last = 0.5000), fitness=0.037420735
142.60 secs, 2076 evals, 1956 steps, improv/step: 0.348 (last = 0.3750), fitness=0.037420735
143.15 secs, 2083 evals, 1963 steps, improv/step: 0.348 (last = 0.2857), fitness=0.037420735
143.68 secs, 2091 evals, 1971 steps, improv/step: 0.348 (last = 0.2500), fitness=0.037420735
144.21 secs, 2099 evals, 1979 steps, improv/step: 0.347 (last = 0.1250), fitness=0.037420735
144.76 secs, 2107 evals, 1987 steps, improv/step: 0.345 (last = 0.0000), fitness=0.037420735
145.29 secs, 2115 evals, 1995 steps, improv/step: 0.344 (last = 0.0000), fitness=0.037420735
145.86 secs, 2123 evals, 2003 steps, improv/step: 0.343 (last = 0.2500), fitness=0.037420735
146.41 secs, 2131 evals, 2011 steps, improv/step: 0.343 (last = 0.2500), fitness=0.037420735
146.96 secs, 2139 evals, 2019 steps, improv/step: 0.343 (last = 0.2500), fitness=0.037420735
147.50 secs, 2146 evals, 2026 steps, improv/step: 0.343 (last = 0.2857), fitness=0.037420735
148.04 secs, 2154 evals, 2034 steps, improv/step: 0.342 (last = 0.2500), fitness=0.037420734
148.57 secs, 2162 evals, 2042 steps, improv/step: 0.341 (last = 0.1250), fitness=0.037420734
149.10 secs, 2170 evals, 2050 steps, improv/step: 0.342 (last = 0.6250), fitness=0.037420734
149.63 secs, 2178 evals, 2058 steps, improv/step: 0.341 (last = 0.0000), fitness=0.037420734
150.16 secs, 2186 evals, 2066 steps, improv/step: 0.340 (last = 0.1250), fitness=0.037420734
150.70 secs, 2194 evals, 2074 steps, improv/step: 0.339 (last = 0.1250), fitness=0.037420734
151.23 secs, 2202 evals, 2082 steps, improv/step: 0.339 (last = 0.2500), fitness=0.037420734
151.76 secs, 2210 evals, 2090 steps, improv/step: 0.339 (last = 0.3750), fitness=0.037420734
152.30 secs, 2218 evals, 2098 steps, improv/step: 0.338 (last = 0.0000), fitness=0.037420734
152.82 secs, 2226 evals, 2106 steps, improv/step: 0.338 (last = 0.2500), fitness=0.037420734
153.34 secs, 2234 evals, 2114 steps, improv/step: 0.337 (last = 0.1250), fitness=0.037420734
153.88 secs, 2242 evals, 2122 steps, improv/step: 0.337 (last = 0.3750), fitness=0.037420734
154.42 secs, 2249 evals, 2129 steps, improv/step: 0.336 (last = 0.0000), fitness=0.037420734
154.92 secs, 2256 evals, 2136 steps, improv/step: 0.335 (last = 0.1429), fitness=0.037420734
155.46 secs, 2264 evals, 2144 steps, improv/step: 0.336 (last = 0.5000), fitness=0.037420734
155.99 secs, 2272 evals, 2152 steps, improv/step: 0.336 (last = 0.2500), fitness=0.037420734
156.52 secs, 2280 evals, 2160 steps, improv/step: 0.335 (last = 0.2500), fitness=0.037420734
157.07 secs, 2288 evals, 2168 steps, improv/step: 0.336 (last = 0.6250), fitness=0.037420734
157.60 secs, 2296 evals, 2176 steps, improv/step: 0.336 (last = 0.3750), fitness=0.037420734
158.18 secs, 2304 evals, 2184 steps, improv/step: 0.337 (last = 0.5000), fitness=0.037420734
158.70 secs, 2311 evals, 2191 steps, improv/step: 0.337 (last = 0.4286), fitness=0.037420734
159.23 secs, 2319 evals, 2199 steps, improv/step: 0.337 (last = 0.1250), fitness=0.037420734
159.76 secs, 2327 evals, 2207 steps, improv/step: 0.337 (last = 0.5000), fitness=0.037420734
160.30 secs, 2335 evals, 2215 steps, improv/step: 0.338 (last = 0.5000), fitness=0.037420734
160.83 secs, 2343 evals, 2223 steps, improv/step: 0.339 (last = 0.6250), fitness=0.037420734
161.36 secs, 2351 evals, 2231 steps, improv/step: 0.339 (last = 0.3750), fitness=0.037420734
161.90 secs, 2359 evals, 2239 steps, improv/step: 0.339 (last = 0.5000), fitness=0.037420734
162.42 secs, 2367 evals, 2247 steps, improv/step: 0.340 (last = 0.5000), fitness=0.037420734
162.95 secs, 2375 evals, 2255 steps, improv/step: 0.340 (last = 0.3750), fitness=0.037420734
163.49 secs, 2383 evals, 2263 steps, improv/step: 0.340 (last = 0.3750), fitness=0.037420734
164.02 secs, 2391 evals, 2271 steps, improv/step: 0.341 (last = 0.6250), fitness=0.037420734
164.56 secs, 2399 evals, 2279 steps, improv/step: 0.341 (last = 0.2500), fitness=0.037420734
165.09 secs, 2407 evals, 2287 steps, improv/step: 0.341 (last = 0.3750), fitness=0.037420734
165.62 secs, 2415 evals, 2295 steps, improv/step: 0.341 (last = 0.3750), fitness=0.037420734
166.16 secs, 2423 evals, 2303 steps, improv/step: 0.341 (last = 0.3750), fitness=0.037420734
166.70 secs, 2431 evals, 2311 steps, improv/step: 0.341 (last = 0.2500), fitness=0.037420734
167.25 secs, 2439 evals, 2319 steps, improv/step: 0.341 (last = 0.3750), fitness=0.037420734
167.80 secs, 2447 evals, 2327 steps, improv/step: 0.340 (last = 0.1250), fitness=0.037420734
168.33 secs, 2455 evals, 2335 steps, improv/step: 0.340 (last = 0.1250), fitness=0.037420734
168.87 secs, 2463 evals, 2343 steps, improv/step: 0.340 (last = 0.3750), fitness=0.037420734
169.41 secs, 2471 evals, 2351 steps, improv/step: 0.340 (last = 0.5000), fitness=0.037420734
169.94 secs, 2479 evals, 2359 steps, improv/step: 0.340 (last = 0.1250), fitness=0.037420734
170.47 secs, 2487 evals, 2367 steps, improv/step: 0.339 (last = 0.2500), fitness=0.037420734
171.01 secs, 2495 evals, 2375 steps, improv/step: 0.339 (last = 0.2500), fitness=0.037420734
171.54 secs, 2503 evals, 2383 steps, improv/step: 0.339 (last = 0.3750), fitness=0.037420734
172.07 secs, 2511 evals, 2391 steps, improv/step: 0.339 (last = 0.2500), fitness=0.037420734
172.61 secs, 2519 evals, 2399 steps, improv/step: 0.338 (last = 0.1250), fitness=0.037420734
173.16 secs, 2527 evals, 2407 steps, improv/step: 0.339 (last = 0.5000), fitness=0.037420734
173.70 secs, 2534 evals, 2414 steps, improv/step: 0.338 (last = 0.2857), fitness=0.037420734
174.25 secs, 2542 evals, 2422 steps, improv/step: 0.339 (last = 0.3750), fitness=0.037420734
174.77 secs, 2550 evals, 2430 steps, improv/step: 0.338 (last = 0.2500), fitness=0.037420734
175.31 secs, 2558 evals, 2438 steps, improv/step: 0.338 (last = 0.1250), fitness=0.037420734
175.85 secs, 2566 evals, 2446 steps, improv/step: 0.337 (last = 0.1250), fitness=0.037420734
176.36 secs, 2573 evals, 2453 steps, improv/step: 0.336 (last = 0.1429), fitness=0.037420734
176.91 secs, 2581 evals, 2461 steps, improv/step: 0.336 (last = 0.2500), fitness=0.037420734
177.44 secs, 2589 evals, 2469 steps, improv/step: 0.335 (last = 0.0000), fitness=0.037420734
177.97 secs, 2597 evals, 2477 steps, improv/step: 0.334 (last = 0.1250), fitness=0.037420734
178.51 secs, 2605 evals, 2485 steps, improv/step: 0.334 (last = 0.3750), fitness=0.037420734
179.04 secs, 2613 evals, 2493 steps, improv/step: 0.334 (last = 0.2500), fitness=0.037420734
179.58 secs, 2621 evals, 2501 steps, improv/step: 0.333 (last = 0.1250), fitness=0.037420734
180.14 secs, 2629 evals, 2509 steps, improv/step: 0.333 (last = 0.2500), fitness=0.037420734
180.67 secs, 2637 evals, 2517 steps, improv/step: 0.332 (last = 0.0000), fitness=0.037420734
181.20 secs, 2645 evals, 2525 steps, improv/step: 0.332 (last = 0.2500), fitness=0.037420734
181.73 secs, 2653 evals, 2533 steps, improv/step: 0.332 (last = 0.2500), fitness=0.037420734
182.25 secs, 2660 evals, 2540 steps, improv/step: 0.332 (last = 0.4286), fitness=0.037420734
182.78 secs, 2668 evals, 2548 steps, improv/step: 0.332 (last = 0.3750), fitness=0.037420734
183.34 secs, 2676 evals, 2556 steps, improv/step: 0.332 (last = 0.2500), fitness=0.037420734
183.87 secs, 2684 evals, 2564 steps, improv/step: 0.332 (last = 0.2500), fitness=0.037420734
184.40 secs, 2692 evals, 2572 steps, improv/step: 0.331 (last = 0.1250), fitness=0.037420734
184.92 secs, 2699 evals, 2579 steps, improv/step: 0.330 (last = 0.0000), fitness=0.037420734
185.43 secs, 2705 evals, 2585 steps, improv/step: 0.330 (last = 0.3333), fitness=0.037420734
185.99 secs, 2713 evals, 2593 steps, improv/step: 0.330 (last = 0.3750), fitness=0.037420734
186.53 secs, 2721 evals, 2601 steps, improv/step: 0.331 (last = 0.7500), fitness=0.037420734
187.06 secs, 2729 evals, 2609 steps, improv/step: 0.332 (last = 0.3750), fitness=0.037420734
187.59 secs, 2737 evals, 2617 steps, improv/step: 0.331 (last = 0.1250), fitness=0.037420734
188.13 secs, 2745 evals, 2625 steps, improv/step: 0.330 (last = 0.1250), fitness=0.037420734
188.66 secs, 2753 evals, 2633 steps, improv/step: 0.330 (last = 0.2500), fitness=0.037420734
189.20 secs, 2760 evals, 2640 steps, improv/step: 0.330 (last = 0.1429), fitness=0.037420734
189.74 secs, 2768 evals, 2648 steps, improv/step: 0.329 (last = 0.0000), fitness=0.037420734
190.28 secs, 2776 evals, 2656 steps, improv/step: 0.328 (last = 0.2500), fitness=0.037420734
190.81 secs, 2784 evals, 2664 steps, improv/step: 0.328 (last = 0.3750), fitness=0.037420734
191.35 secs, 2792 evals, 2672 steps, improv/step: 0.329 (last = 0.5000), fitness=0.037420734
191.88 secs, 2800 evals, 2680 steps, improv/step: 0.329 (last = 0.3750), fitness=0.037420734
192.44 secs, 2808 evals, 2688 steps, improv/step: 0.329 (last = 0.2500), fitness=0.037420734
193.02 secs, 2816 evals, 2696 steps, improv/step: 0.328 (last = 0.0000), fitness=0.037420734
193.56 secs, 2824 evals, 2704 steps, improv/step: 0.328 (last = 0.3750), fitness=0.037420734
194.09 secs, 2832 evals, 2712 steps, improv/step: 0.329 (last = 0.5000), fitness=0.037420734
194.62 secs, 2840 evals, 2720 steps, improv/step: 0.328 (last = 0.0000), fitness=0.037420734
195.15 secs, 2848 evals, 2728 steps, improv/step: 0.327 (last = 0.0000), fitness=0.037420734
195.73 secs, 2856 evals, 2736 steps, improv/step: 0.327 (last = 0.3750), fitness=0.037420734
196.27 secs, 2864 evals, 2744 steps, improv/step: 0.326 (last = 0.0000), fitness=0.037420734
196.81 secs, 2872 evals, 2752 steps, improv/step: 0.326 (last = 0.5000), fitness=0.037420734
197.33 secs, 2879 evals, 2759 steps, improv/step: 0.327 (last = 0.5714), fitness=0.037420734
197.89 secs, 2887 evals, 2767 steps, improv/step: 0.327 (last = 0.5000), fitness=0.037420734
198.43 secs, 2895 evals, 2775 steps, improv/step: 0.327 (last = 0.2500), fitness=0.037420734
198.97 secs, 2903 evals, 2783 steps, improv/step: 0.328 (last = 0.5000), fitness=0.037420734
199.50 secs, 2911 evals, 2791 steps, improv/step: 0.328 (last = 0.5000), fitness=0.037420734
200.03 secs, 2919 evals, 2799 steps, improv/step: 0.328 (last = 0.2500), fitness=0.037420734
200.56 secs, 2927 evals, 2807 steps, improv/step: 0.329 (last = 0.6250), fitness=0.037420734
201.09 secs, 2935 evals, 2815 steps, improv/step: 0.329 (last = 0.3750), fitness=0.037420734
201.65 secs, 2943 evals, 2823 steps, improv/step: 0.329 (last = 0.5000), fitness=0.037420734
202.21 secs, 2951 evals, 2831 steps, improv/step: 0.330 (last = 0.3750), fitness=0.037420734
202.74 secs, 2959 evals, 2839 steps, improv/step: 0.329 (last = 0.2500), fitness=0.037420734
203.28 secs, 2967 evals, 2847 steps, improv/step: 0.329 (last = 0.3750), fitness=0.037420734
203.81 secs, 2975 evals, 2855 steps, improv/step: 0.330 (last = 0.5000), fitness=0.037420734
204.38 secs, 2983 evals, 2863 steps, improv/step: 0.331 (last = 0.8750), fitness=0.037420734
204.92 secs, 2990 evals, 2870 steps, improv/step: 0.331 (last = 0.2857), fitness=0.037420734
205.46 secs, 2998 evals, 2878 steps, improv/step: 0.331 (last = 0.2500), fitness=0.037420734
205.99 secs, 3006 evals, 2886 steps, improv/step: 0.330 (last = 0.0000), fitness=0.037420734
206.54 secs, 3014 evals, 2894 steps, improv/step: 0.330 (last = 0.2500), fitness=0.037420734
207.08 secs, 3022 evals, 2902 steps, improv/step: 0.330 (last = 0.5000), fitness=0.037420734
207.61 secs, 3030 evals, 2910 steps, improv/step: 0.331 (last = 0.3750), fitness=0.037420734
208.15 secs, 3038 evals, 2918 steps, improv/step: 0.330 (last = 0.0000), fitness=0.037420734
208.68 secs, 3046 evals, 2926 steps, improv/step: 0.330 (last = 0.3750), fitness=0.037420734
209.21 secs, 3054 evals, 2934 steps, improv/step: 0.329 (last = 0.1250), fitness=0.037420734
209.74 secs, 3062 evals, 2942 steps, improv/step: 0.330 (last = 0.5000), fitness=0.037420734
210.27 secs, 3070 evals, 2950 steps, improv/step: 0.329 (last = 0.1250), fitness=0.037420734
210.81 secs, 3078 evals, 2958 steps, improv/step: 0.329 (last = 0.2500), fitness=0.037420734
211.35 secs, 3086 evals, 2966 steps, improv/step: 0.329 (last = 0.5000), fitness=0.037420734
211.89 secs, 3094 evals, 2974 steps, improv/step: 0.329 (last = 0.2500), fitness=0.037420734
212.43 secs, 3102 evals, 2982 steps, improv/step: 0.329 (last = 0.1250), fitness=0.037420734
212.97 secs, 3109 evals, 2989 steps, improv/step: 0.329 (last = 0.2857), fitness=0.037420734
213.50 secs, 3117 evals, 2997 steps, improv/step: 0.329 (last = 0.3750), fitness=0.037420734
214.04 secs, 3125 evals, 3005 steps, improv/step: 0.328 (last = 0.2500), fitness=0.037420734
214.56 secs, 3133 evals, 3013 steps, improv/step: 0.328 (last = 0.0000), fitness=0.037420734
215.10 secs, 3141 evals, 3021 steps, improv/step: 0.328 (last = 0.3750), fitness=0.037420734
215.64 secs, 3149 evals, 3029 steps, improv/step: 0.327 (last = 0.1250), fitness=0.037420734
216.21 secs, 3156 evals, 3036 steps, improv/step: 0.327 (last = 0.2857), fitness=0.037420734
216.76 secs, 3164 evals, 3044 steps, improv/step: 0.328 (last = 0.6250), fitness=0.037420734
217.26 secs, 3171 evals, 3051 steps, improv/step: 0.328 (last = 0.5714), fitness=0.037420734
217.84 secs, 3178 evals, 3058 steps, improv/step: 0.329 (last = 0.5714), fitness=0.037420734
218.40 secs, 3185 evals, 3065 steps, improv/step: 0.329 (last = 0.2857), fitness=0.037420734
218.91 secs, 3192 evals, 3072 steps, improv/step: 0.329 (last = 0.2857), fitness=0.037420734
219.43 secs, 3199 evals, 3079 steps, improv/step: 0.329 (last = 0.4286), fitness=0.037420734
219.98 secs, 3206 evals, 3086 steps, improv/step: 0.329 (last = 0.2857), fitness=0.037420734
220.54 secs, 3214 evals, 3094 steps, improv/step: 0.329 (last = 0.5000), fitness=0.037420734
221.07 secs, 3222 evals, 3102 steps, improv/step: 0.329 (last = 0.1250), fitness=0.037420734
221.60 secs, 3230 evals, 3110 steps, improv/step: 0.328 (last = 0.0000), fitness=0.037420734
222.16 secs, 3237 evals, 3117 steps, improv/step: 0.328 (last = 0.4286), fitness=0.037420734
222.69 secs, 3245 evals, 3125 steps, improv/step: 0.328 (last = 0.2500), fitness=0.037420734
223.22 secs, 3253 evals, 3133 steps, improv/step: 0.328 (last = 0.2500), fitness=0.037420734
223.77 secs, 3261 evals, 3141 steps, improv/step: 0.327 (last = 0.0000), fitness=0.037420734
224.30 secs, 3269 evals, 3149 steps, improv/step: 0.327 (last = 0.5000), fitness=0.037420734
224.81 secs, 3276 evals, 3156 steps, improv/step: 0.327 (last = 0.1429), fitness=0.037420734
225.35 secs, 3284 evals, 3164 steps, improv/step: 0.327 (last = 0.5000), fitness=0.037420734
225.88 secs, 3292 evals, 3172 steps, improv/step: 0.328 (last = 0.3750), fitness=0.037420734
226.41 secs, 3300 evals, 3180 steps, improv/step: 0.327 (last = 0.2500), fitness=0.037420734
226.95 secs, 3308 evals, 3188 steps, improv/step: 0.328 (last = 0.5000), fitness=0.037420734
227.48 secs, 3316 evals, 3196 steps, improv/step: 0.328 (last = 0.5000), fitness=0.037420734
228.02 secs, 3324 evals, 3204 steps, improv/step: 0.328 (last = 0.2500), fitness=0.037420734
228.56 secs, 3332 evals, 3212 steps, improv/step: 0.328 (last = 0.1250), fitness=0.037420734
229.10 secs, 3340 evals, 3220 steps, improv/step: 0.327 (last = 0.1250), fitness=0.037420734
229.63 secs, 3348 evals, 3228 steps, improv/step: 0.327 (last = 0.2500), fitness=0.037420734
230.17 secs, 3356 evals, 3236 steps, improv/step: 0.327 (last = 0.2500), fitness=0.037420734
230.72 secs, 3364 evals, 3244 steps, improv/step: 0.327 (last = 0.3750), fitness=0.037420734
231.25 secs, 3372 evals, 3252 steps, improv/step: 0.326 (last = 0.1250), fitness=0.037420734
231.79 secs, 3380 evals, 3260 steps, improv/step: 0.326 (last = 0.2500), fitness=0.037420734
232.33 secs, 3388 evals, 3268 steps, improv/step: 0.326 (last = 0.2500), fitness=0.037420734
232.89 secs, 3396 evals, 3276 steps, improv/step: 0.325 (last = 0.0000), fitness=0.037420734
233.42 secs, 3404 evals, 3284 steps, improv/step: 0.325 (last = 0.3750), fitness=0.037420734
233.97 secs, 3412 evals, 3292 steps, improv/step: 0.325 (last = 0.2500), fitness=0.037420734
234.52 secs, 3420 evals, 3300 steps, improv/step: 0.325 (last = 0.3750), fitness=0.037420734
235.09 secs, 3428 evals, 3308 steps, improv/step: 0.326 (last = 0.6250), fitness=0.037420734
235.64 secs, 3435 evals, 3315 steps, improv/step: 0.326 (last = 0.5714), fitness=0.037420734
236.17 secs, 3442 evals, 3322 steps, improv/step: 0.327 (last = 0.4286), fitness=0.037420734
236.73 secs, 3450 evals, 3330 steps, improv/step: 0.327 (last = 0.6250), fitness=0.037420734
237.24 secs, 3457 evals, 3337 steps, improv/step: 0.328 (last = 0.4286), fitness=0.037420734
237.77 secs, 3465 evals, 3345 steps, improv/step: 0.327 (last = 0.1250), fitness=0.037420734
238.31 secs, 3473 evals, 3353 steps, improv/step: 0.327 (last = 0.2500), fitness=0.037420734
238.86 secs, 3481 evals, 3361 steps, improv/step: 0.327 (last = 0.2500), fitness=0.037420734
239.41 secs, 3489 evals, 3369 steps, improv/step: 0.327 (last = 0.2500), fitness=0.037420734
239.94 secs, 3497 evals, 3377 steps, improv/step: 0.326 (last = 0.2500), fitness=0.037420734
240.49 secs, 3505 evals, 3385 steps, improv/step: 0.327 (last = 0.5000), fitness=0.037420734
241.03 secs, 3513 evals, 3393 steps, improv/step: 0.327 (last = 0.3750), fitness=0.037420734
241.56 secs, 3521 evals, 3401 steps, improv/step: 0.327 (last = 0.2500), fitness=0.037420734
242.09 secs, 3529 evals, 3409 steps, improv/step: 0.326 (last = 0.1250), fitness=0.037420734
242.63 secs, 3537 evals, 3417 steps, improv/step: 0.327 (last = 0.5000), fitness=0.037420734
243.15 secs, 3545 evals, 3425 steps, improv/step: 0.326 (last = 0.2500), fitness=0.037420734
243.69 secs, 3553 evals, 3433 steps, improv/step: 0.326 (last = 0.1250), fitness=0.037420734
244.23 secs, 3561 evals, 3441 steps, improv/step: 0.326 (last = 0.5000), fitness=0.037420734
244.76 secs, 3569 evals, 3449 steps, improv/step: 0.326 (last = 0.1250), fitness=0.037420734
245.31 secs, 3577 evals, 3457 steps, improv/step: 0.326 (last = 0.2500), fitness=0.037420734
245.84 secs, 3584 evals, 3464 steps, improv/step: 0.325 (last = 0.1429), fitness=0.037420734
246.37 secs, 3592 evals, 3472 steps, improv/step: 0.325 (last = 0.2500), fitness=0.037420734
246.91 secs, 3600 evals, 3480 steps, improv/step: 0.325 (last = 0.2500), fitness=0.037420734
247.44 secs, 3608 evals, 3488 steps, improv/step: 0.325 (last = 0.2500), fitness=0.037420734
247.97 secs, 3616 evals, 3496 steps, improv/step: 0.325 (last = 0.5000), fitness=0.037420734
248.51 secs, 3624 evals, 3504 steps, improv/step: 0.324 (last = 0.0000), fitness=0.037420734
249.04 secs, 3632 evals, 3512 steps, improv/step: 0.325 (last = 0.5000), fitness=0.037420734
249.59 secs, 3640 evals, 3520 steps, improv/step: 0.325 (last = 0.2500), fitness=0.037420734
250.13 secs, 3648 evals, 3528 steps, improv/step: 0.325 (last = 0.5000), fitness=0.037420734
250.64 secs, 3655 evals, 3535 steps, improv/step: 0.325 (last = 0.4286), fitness=0.037420734
251.16 secs, 3662 evals, 3542 steps, improv/step: 0.325 (last = 0.2857), fitness=0.037420734
251.70 secs, 3670 evals, 3550 steps, improv/step: 0.325 (last = 0.2500), fitness=0.037420734
252.22 secs, 3678 evals, 3558 steps, improv/step: 0.325 (last = 0.3750), fitness=0.037420734
252.76 secs, 3686 evals, 3566 steps, improv/step: 0.325 (last = 0.2500), fitness=0.037420734
253.31 secs, 3694 evals, 3574 steps, improv/step: 0.325 (last = 0.1250), fitness=0.037420734
253.83 secs, 3702 evals, 3582 steps, improv/step: 0.325 (last = 0.3750), fitness=0.037420734
254.36 secs, 3710 evals, 3590 steps, improv/step: 0.324 (last = 0.1250), fitness=0.037420734
254.89 secs, 3718 evals, 3598 steps, improv/step: 0.324 (last = 0.0000), fitness=0.037420734
255.42 secs, 3726 evals, 3606 steps, improv/step: 0.324 (last = 0.5000), fitness=0.037420734
255.95 secs, 3734 evals, 3614 steps, improv/step: 0.324 (last = 0.5000), fitness=0.037420734
256.48 secs, 3742 evals, 3622 steps, improv/step: 0.324 (last = 0.1250), fitness=0.037420734
257.02 secs, 3750 evals, 3630 steps, improv/step: 0.324 (last = 0.3750), fitness=0.037420734
257.55 secs, 3758 evals, 3638 steps, improv/step: 0.324 (last = 0.2500), fitness=0.037420734
258.08 secs, 3766 evals, 3646 steps, improv/step: 0.324 (last = 0.3750), fitness=0.037420734
258.61 secs, 3774 evals, 3654 steps, improv/step: 0.324 (last = 0.2500), fitness=0.037420734
259.14 secs, 3782 evals, 3662 steps, improv/step: 0.324 (last = 0.2500), fitness=0.037420734
259.66 secs, 3790 evals, 3670 steps, improv/step: 0.323 (last = 0.2500), fitness=0.037420734
260.19 secs, 3798 evals, 3678 steps, improv/step: 0.323 (last = 0.1250), fitness=0.037420734
260.72 secs, 3806 evals, 3686 steps, improv/step: 0.323 (last = 0.1250), fitness=0.037420734
261.25 secs, 3814 evals, 3694 steps, improv/step: 0.322 (last = 0.2500), fitness=0.037420734
261.78 secs, 3822 evals, 3702 steps, improv/step: 0.322 (last = 0.0000), fitness=0.037420734
262.32 secs, 3830 evals, 3710 steps, improv/step: 0.322 (last = 0.2500), fitness=0.037420734
262.86 secs, 3838 evals, 3718 steps, improv/step: 0.322 (last = 0.6250), fitness=0.037420734
263.41 secs, 3846 evals, 3726 steps, improv/step: 0.322 (last = 0.3750), fitness=0.037420734
263.97 secs, 3854 evals, 3734 steps, improv/step: 0.322 (last = 0.3750), fitness=0.037420734
264.53 secs, 3862 evals, 3742 steps, improv/step: 0.323 (last = 0.6250), fitness=0.037420734
265.07 secs, 3870 evals, 3750 steps, improv/step: 0.323 (last = 0.1250), fitness=0.037420734
265.61 secs, 3878 evals, 3758 steps, improv/step: 0.322 (last = 0.1250), fitness=0.037420734
266.13 secs, 3885 evals, 3765 steps, improv/step: 0.322 (last = 0.1429), fitness=0.037420734
266.64 secs, 3892 evals, 3772 steps, improv/step: 0.322 (last = 0.2857), fitness=0.037420734
267.19 secs, 3900 evals, 3780 steps, improv/step: 0.322 (last = 0.3750), fitness=0.037420734
267.75 secs, 3908 evals, 3788 steps, improv/step: 0.322 (last = 0.2500), fitness=0.037420734
268.28 secs, 3916 evals, 3796 steps, improv/step: 0.321 (last = 0.1250), fitness=0.037420734
268.81 secs, 3924 evals, 3804 steps, improv/step: 0.322 (last = 0.5000), fitness=0.037420734
269.34 secs, 3932 evals, 3812 steps, improv/step: 0.322 (last = 0.6250), fitness=0.037420734
269.89 secs, 3940 evals, 3820 steps, improv/step: 0.322 (last = 0.1250), fitness=0.037420734
270.44 secs, 3947 evals, 3827 steps, improv/step: 0.322 (last = 0.4286), fitness=0.037420734
270.99 secs, 3954 evals, 3834 steps, improv/step: 0.322 (last = 0.1429), fitness=0.037420734
271.53 secs, 3962 evals, 3842 steps, improv/step: 0.321 (last = 0.0000), fitness=0.037420734
272.07 secs, 3970 evals, 3850 steps, improv/step: 0.321 (last = 0.2500), fitness=0.037420734
272.61 secs, 3978 evals, 3858 steps, improv/step: 0.321 (last = 0.2500), fitness=0.037420734
273.15 secs, 3986 evals, 3866 steps, improv/step: 0.320 (last = 0.1250), fitness=0.037420734
273.67 secs, 3994 evals, 3874 steps, improv/step: 0.320 (last = 0.2500), fitness=0.037420734
274.24 secs, 4002 evals, 3882 steps, improv/step: 0.320 (last = 0.2500), fitness=0.037420734
274.76 secs, 4009 evals, 3889 steps, improv/step: 0.320 (last = 0.2857), fitness=0.037420734
275.26 secs, 4016 evals, 3896 steps, improv/step: 0.320 (last = 0.2857), fitness=0.037420734
275.78 secs, 4024 evals, 3904 steps, improv/step: 0.320 (last = 0.2500), fitness=0.037420734
276.33 secs, 4032 evals, 3912 steps, improv/step: 0.320 (last = 0.1250), fitness=0.037420734
276.91 secs, 4040 evals, 3920 steps, improv/step: 0.319 (last = 0.0000), fitness=0.037420734
277.44 secs, 4048 evals, 3928 steps, improv/step: 0.319 (last = 0.3750), fitness=0.037420734
278.01 secs, 4056 evals, 3936 steps, improv/step: 0.319 (last = 0.2500), fitness=0.037420734
278.53 secs, 4064 evals, 3944 steps, improv/step: 0.318 (last = 0.0000), fitness=0.037420734
279.06 secs, 4072 evals, 3952 steps, improv/step: 0.318 (last = 0.3750), fitness=0.037420734
279.60 secs, 4080 evals, 3960 steps, improv/step: 0.318 (last = 0.1250), fitness=0.037420734
280.13 secs, 4088 evals, 3968 steps, improv/step: 0.318 (last = 0.3750), fitness=0.037420734
280.66 secs, 4096 evals, 3976 steps, improv/step: 0.318 (last = 0.2500), fitness=0.037420734
281.20 secs, 4104 evals, 3984 steps, improv/step: 0.318 (last = 0.3750), fitness=0.037420734
281.75 secs, 4111 evals, 3991 steps, improv/step: 0.318 (last = 0.1429), fitness=0.037420734
282.28 secs, 4119 evals, 3999 steps, improv/step: 0.317 (last = 0.1250), fitness=0.037420734
282.81 secs, 4127 evals, 4007 steps, improv/step: 0.317 (last = 0.1250), fitness=0.037420734
283.37 secs, 4134 evals, 4014 steps, improv/step: 0.317 (last = 0.2857), fitness=0.037420734
283.92 secs, 4141 evals, 4021 steps, improv/step: 0.317 (last = 0.2857), fitness=0.037420734
284.43 secs, 4147 evals, 4027 steps, improv/step: 0.316 (last = 0.0000), fitness=0.037420734
284.98 secs, 4154 evals, 4034 steps, improv/step: 0.316 (last = 0.1429), fitness=0.037420734
285.48 secs, 4161 evals, 4041 steps, improv/step: 0.316 (last = 0.1429), fitness=0.037420734
286.00 secs, 4168 evals, 4048 steps, improv/step: 0.315 (last = 0.0000), fitness=0.037420734
286.53 secs, 4176 evals, 4056 steps, improv/step: 0.315 (last = 0.3750), fitness=0.037420734
287.08 secs, 4184 evals, 4064 steps, improv/step: 0.315 (last = 0.1250), fitness=0.037420734
287.65 secs, 4191 evals, 4071 steps, improv/step: 0.315 (last = 0.2857), fitness=0.037420734
288.19 secs, 4198 evals, 4078 steps, improv/step: 0.314 (last = 0.0000), fitness=0.037420734
288.71 secs, 4206 evals, 4086 steps, improv/step: 0.314 (last = 0.0000), fitness=0.037420734
289.25 secs, 4214 evals, 4094 steps, improv/step: 0.314 (last = 0.2500), fitness=0.037420734
289.77 secs, 4222 evals, 4102 steps, improv/step: 0.314 (last = 0.2500), fitness=0.037420734
290.29 secs, 4230 evals, 4110 steps, improv/step: 0.313 (last = 0.2500), fitness=0.037420734
290.82 secs, 4238 evals, 4118 steps, improv/step: 0.313 (last = 0.1250), fitness=0.037420734
291.36 secs, 4246 evals, 4126 steps, improv/step: 0.313 (last = 0.2500), fitness=0.037420734
291.89 secs, 4254 evals, 4134 steps, improv/step: 0.313 (last = 0.1250), fitness=0.037420734
292.39 secs, 4261 evals, 4141 steps, improv/step: 0.313 (last = 0.5714), fitness=0.037420734
292.92 secs, 4269 evals, 4149 steps, improv/step: 0.313 (last = 0.2500), fitness=0.037420734
293.45 secs, 4277 evals, 4157 steps, improv/step: 0.312 (last = 0.0000), fitness=0.037420734
293.98 secs, 4285 evals, 4165 steps, improv/step: 0.312 (last = 0.2500), fitness=0.037420734
294.50 secs, 4293 evals, 4173 steps, improv/step: 0.312 (last = 0.3750), fitness=0.037420734
295.02 secs, 4301 evals, 4181 steps, improv/step: 0.312 (last = 0.0000), fitness=0.037420734
295.55 secs, 4309 evals, 4189 steps, improv/step: 0.312 (last = 0.2500), fitness=0.037420734
296.09 secs, 4317 evals, 4197 steps, improv/step: 0.311 (last = 0.1250), fitness=0.037420734
296.62 secs, 4325 evals, 4205 steps, improv/step: 0.311 (last = 0.2500), fitness=0.037420734
297.16 secs, 4332 evals, 4212 steps, improv/step: 0.311 (last = 0.2857), fitness=0.037420734
297.68 secs, 4340 evals, 4220 steps, improv/step: 0.311 (last = 0.1250), fitness=0.037420734
298.22 secs, 4348 evals, 4228 steps, improv/step: 0.310 (last = 0.1250), fitness=0.037420734
298.75 secs, 4356 evals, 4236 steps, improv/step: 0.310 (last = 0.2500), fitness=0.037420734
299.27 secs, 4364 evals, 4244 steps, improv/step: 0.310 (last = 0.0000), fitness=0.037420734
299.81 secs, 4372 evals, 4252 steps, improv/step: 0.310 (last = 0.3750), fitness=0.037420734
300.33 secs, 4380 evals, 4260 steps, improv/step: 0.310 (last = 0.2500), fitness=0.037420734
300.85 secs, 4388 evals, 4268 steps, improv/step: 0.310 (last = 0.2500), fitness=0.037420734
301.39 secs, 4396 evals, 4276 steps, improv/step: 0.309 (last = 0.1250), fitness=0.037420734
301.92 secs, 4404 evals, 4284 steps, improv/step: 0.309 (last = 0.2500), fitness=0.037420734
302.44 secs, 4412 evals, 4292 steps, improv/step: 0.309 (last = 0.2500), fitness=0.037420734
302.98 secs, 4420 evals, 4300 steps, improv/step: 0.308 (last = 0.0000), fitness=0.037420734
303.50 secs, 4428 evals, 4308 steps, improv/step: 0.308 (last = 0.0000), fitness=0.037420734
304.03 secs, 4436 evals, 4316 steps, improv/step: 0.307 (last = 0.1250), fitness=0.037420734
304.56 secs, 4444 evals, 4324 steps, improv/step: 0.307 (last = 0.1250), fitness=0.037420734
305.10 secs, 4452 evals, 4332 steps, improv/step: 0.307 (last = 0.1250), fitness=0.037420734
305.64 secs, 4460 evals, 4340 steps, improv/step: 0.307 (last = 0.2500), fitness=0.037420734
306.17 secs, 4468 evals, 4348 steps, improv/step: 0.307 (last = 0.2500), fitness=0.037420734
306.70 secs, 4476 evals, 4356 steps, improv/step: 0.306 (last = 0.1250), fitness=0.037420734
307.23 secs, 4484 evals, 4364 steps, improv/step: 0.306 (last = 0.1250), fitness=0.037420734
307.76 secs, 4492 evals, 4372 steps, improv/step: 0.305 (last = 0.0000), fitness=0.037420734
308.28 secs, 4500 evals, 4380 steps, improv/step: 0.305 (last = 0.0000), fitness=0.037420734
308.82 secs, 4508 evals, 4388 steps, improv/step: 0.304 (last = 0.0000), fitness=0.037420734
309.34 secs, 4516 evals, 4396 steps, improv/step: 0.304 (last = 0.1250), fitness=0.037420734
309.86 secs, 4524 evals, 4404 steps, improv/step: 0.304 (last = 0.2500), fitness=0.037420734
310.39 secs, 4532 evals, 4412 steps, improv/step: 0.303 (last = 0.0000), fitness=0.037420734
310.92 secs, 4540 evals, 4420 steps, improv/step: 0.303 (last = 0.1250), fitness=0.037420734
311.45 secs, 4548 evals, 4428 steps, improv/step: 0.303 (last = 0.1250), fitness=0.037420734
311.98 secs, 4556 evals, 4436 steps, improv/step: 0.302 (last = 0.0000), fitness=0.037420734
312.52 secs, 4563 evals, 4443 steps, improv/step: 0.302 (last = 0.2857), fitness=0.037420734
313.06 secs, 4571 evals, 4451 steps, improv/step: 0.302 (last = 0.0000), fitness=0.037420734
313.59 secs, 4579 evals, 4459 steps, improv/step: 0.301 (last = 0.1250), fitness=0.037420734
314.11 secs, 4587 evals, 4467 steps, improv/step: 0.301 (last = 0.0000), fitness=0.037420734
314.63 secs, 4595 evals, 4475 steps, improv/step: 0.300 (last = 0.0000), fitness=0.037420734
315.17 secs, 4603 evals, 4483 steps, improv/step: 0.300 (last = 0.0000), fitness=0.037420734
315.70 secs, 4611 evals, 4491 steps, improv/step: 0.299 (last = 0.2500), fitness=0.037420734
316.23 secs, 4619 evals, 4500 steps, improv/step: 0.299 (last = 0.1111), fitness=0.037420734
316.77 secs, 4627 evals, 4508 steps, improv/step: 0.299 (last = 0.3750), fitness=0.037420734
317.29 secs, 4635 evals, 4516 steps, improv/step: 0.299 (last = 0.1250), fitness=0.037420734
317.83 secs, 4643 evals, 4524 steps, improv/step: 0.299 (last = 0.1250), fitness=0.037420734
318.36 secs, 4651 evals, 4532 steps, improv/step: 0.298 (last = 0.0000), fitness=0.037420734
318.89 secs, 4659 evals, 4540 steps, improv/step: 0.298 (last = 0.1250), fitness=0.037420734
319.43 secs, 4667 evals, 4548 steps, improv/step: 0.297 (last = 0.1250), fitness=0.037420734
319.96 secs, 4675 evals, 4557 steps, improv/step: 0.297 (last = 0.1111), fitness=0.037420734
320.49 secs, 4683 evals, 4565 steps, improv/step: 0.297 (last = 0.1250), fitness=0.037420734
321.03 secs, 4691 evals, 4573 steps, improv/step: 0.296 (last = 0.0000), fitness=0.037420734
321.57 secs, 4699 evals, 4581 steps, improv/step: 0.296 (last = 0.3750), fitness=0.037420734
322.11 secs, 4707 evals, 4589 steps, improv/step: 0.296 (last = 0.1250), fitness=0.037420734
322.66 secs, 4715 evals, 4597 steps, improv/step: 0.296 (last = 0.1250), fitness=0.037420734
323.20 secs, 4723 evals, 4605 steps, improv/step: 0.295 (last = 0.0000), fitness=0.037420734
323.74 secs, 4731 evals, 4613 steps, improv/step: 0.295 (last = 0.1250), fitness=0.037420734
324.28 secs, 4739 evals, 4621 steps, improv/step: 0.295 (last = 0.1250), fitness=0.037420734
324.81 secs, 4747 evals, 4629 steps, improv/step: 0.294 (last = 0.1250), fitness=0.037420734
325.34 secs, 4755 evals, 4637 steps, improv/step: 0.294 (last = 0.2500), fitness=0.037420734
325.91 secs, 4763 evals, 4645 steps, improv/step: 0.294 (last = 0.0000), fitness=0.037420734
326.44 secs, 4771 evals, 4653 steps, improv/step: 0.294 (last = 0.2500), fitness=0.037420734
326.97 secs, 4779 evals, 4661 steps, improv/step: 0.293 (last = 0.1250), fitness=0.037420734
327.54 secs, 4787 evals, 4669 steps, improv/step: 0.293 (last = 0.1250), fitness=0.037420734
328.09 secs, 4794 evals, 4677 steps, improv/step: 0.293 (last = 0.0000), fitness=0.037420734
328.62 secs, 4802 evals, 4685 steps, improv/step: 0.293 (last = 0.2500), fitness=0.037420734
329.18 secs, 4810 evals, 4693 steps, improv/step: 0.292 (last = 0.1250), fitness=0.037420734
329.71 secs, 4818 evals, 4701 steps, improv/step: 0.292 (last = 0.1250), fitness=0.037420734
330.24 secs, 4826 evals, 4709 steps, improv/step: 0.292 (last = 0.1250), fitness=0.037420734
330.76 secs, 4834 evals, 4717 steps, improv/step: 0.292 (last = 0.2500), fitness=0.037420734
331.29 secs, 4842 evals, 4725 steps, improv/step: 0.291 (last = 0.1250), fitness=0.037420734
331.85 secs, 4850 evals, 4733 steps, improv/step: 0.291 (last = 0.1250), fitness=0.037420734
332.38 secs, 4858 evals, 4742 steps, improv/step: 0.291 (last = 0.0000), fitness=0.037420734
332.92 secs, 4866 evals, 4750 steps, improv/step: 0.290 (last = 0.0000), fitness=0.037420734
333.45 secs, 4874 evals, 4758 steps, improv/step: 0.290 (last = 0.0000), fitness=0.037420734
333.96 secs, 4882 evals, 4766 steps, improv/step: 0.289 (last = 0.1250), fitness=0.037420734
334.47 secs, 4890 evals, 4774 steps, improv/step: 0.289 (last = 0.0000), fitness=0.037420734
334.98 secs, 4898 evals, 4782 steps, improv/step: 0.288 (last = 0.0000), fitness=0.037420734
335.49 secs, 4906 evals, 4790 steps, improv/step: 0.288 (last = 0.1250), fitness=0.037420734
336.00 secs, 4914 evals, 4798 steps, improv/step: 0.288 (last = 0.0000), fitness=0.037420734
336.52 secs, 4922 evals, 4806 steps, improv/step: 0.287 (last = 0.1250), fitness=0.037420734
337.03 secs, 4930 evals, 4814 steps, improv/step: 0.287 (last = 0.1250), fitness=0.037420734
337.55 secs, 4938 evals, 4822 steps, improv/step: 0.287 (last = 0.1250), fitness=0.037420734
338.05 secs, 4946 evals, 4830 steps, improv/step: 0.286 (last = 0.0000), fitness=0.037420734
338.56 secs, 4954 evals, 4838 steps, improv/step: 0.286 (last = 0.0000), fitness=0.037420734
339.11 secs, 4962 evals, 4846 steps, improv/step: 0.286 (last = 0.1250), fitness=0.037420734
339.64 secs, 4970 evals, 4854 steps, improv/step: 0.285 (last = 0.0000), fitness=0.037420734
340.20 secs, 4978 evals, 4862 steps, improv/step: 0.285 (last = 0.1250), fitness=0.037420734
340.72 secs, 4985 evals, 4870 steps, improv/step: 0.284 (last = 0.0000), fitness=0.037420734
341.24 secs, 4992 evals, 4877 steps, improv/step: 0.284 (last = 0.1429), fitness=0.037420734
341.76 secs, 5000 evals, 4885 steps, improv/step: 0.284 (last = 0.0000), fitness=0.037420734
342.29 secs, 5008 evals, 4893 steps, improv/step: 0.283 (last = 0.0000), fitness=0.037420734
342.82 secs, 5016 evals, 4901 steps, improv/step: 0.283 (last = 0.0000), fitness=0.037420734
343.35 secs, 5023 evals, 4908 steps, improv/step: 0.282 (last = 0.0000), fitness=0.037420734
343.88 secs, 5031 evals, 4916 steps, improv/step: 0.282 (last = 0.0000), fitness=0.037420734
344.40 secs, 5039 evals, 4924 steps, improv/step: 0.282 (last = 0.1250), fitness=0.037420734
344.92 secs, 5047 evals, 4932 steps, improv/step: 0.281 (last = 0.1250), fitness=0.037420734
345.44 secs, 5055 evals, 4940 steps, improv/step: 0.281 (last = 0.1250), fitness=0.037420734
345.96 secs, 5063 evals, 4948 steps, improv/step: 0.281 (last = 0.1250), fitness=0.037420734
346.48 secs, 5071 evals, 4956 steps, improv/step: 0.281 (last = 0.1250), fitness=0.037420734
347.03 secs, 5079 evals, 4964 steps, improv/step: 0.280 (last = 0.0000), fitness=0.037420734
347.57 secs, 5087 evals, 4972 steps, improv/step: 0.280 (last = 0.0000), fitness=0.037420734
348.10 secs, 5095 evals, 4980 steps, improv/step: 0.279 (last = 0.0000), fitness=0.037420734
348.62 secs, 5103 evals, 4989 steps, improv/step: 0.279 (last = 0.1111), fitness=0.037420734
349.15 secs, 5111 evals, 4998 steps, improv/step: 0.279 (last = 0.0000), fitness=0.037420734
349.68 secs, 5119 evals, 5006 steps, improv/step: 0.278 (last = 0.0000), fitness=0.037420734
350.21 secs, 5127 evals, 5014 steps, improv/step: 0.278 (last = 0.0000), fitness=0.037420734
350.74 secs, 5135 evals, 5022 steps, improv/step: 0.277 (last = 0.0000), fitness=0.037420734
351.28 secs, 5143 evals, 5030 steps, improv/step: 0.277 (last = 0.0000), fitness=0.037420734
351.81 secs, 5151 evals, 5038 steps, improv/step: 0.276 (last = 0.1250), fitness=0.037420734
352.34 secs, 5159 evals, 5047 steps, improv/step: 0.276 (last = 0.0000), fitness=0.037420734
352.87 secs, 5167 evals, 5056 steps, improv/step: 0.276 (last = 0.0000), fitness=0.037420734
353.40 secs, 5175 evals, 5064 steps, improv/step: 0.275 (last = 0.0000), fitness=0.037420734
353.92 secs, 5183 evals, 5072 steps, improv/step: 0.275 (last = 0.1250), fitness=0.037420734
354.44 secs, 5191 evals, 5080 steps, improv/step: 0.274 (last = 0.0000), fitness=0.037420734
354.97 secs, 5199 evals, 5088 steps, improv/step: 0.274 (last = 0.0000), fitness=0.037420734
355.49 secs, 5207 evals, 5096 steps, improv/step: 0.274 (last = 0.1250), fitness=0.037420734
356.02 secs, 5215 evals, 5104 steps, improv/step: 0.273 (last = 0.0000), fitness=0.037420734
356.55 secs, 5223 evals, 5112 steps, improv/step: 0.273 (last = 0.0000), fitness=0.037420734
357.07 secs, 5231 evals, 5120 steps, improv/step: 0.273 (last = 0.1250), fitness=0.037420734
357.59 secs, 5239 evals, 5129 steps, improv/step: 0.272 (last = 0.0000), fitness=0.037420734
358.11 secs, 5247 evals, 5139 steps, improv/step: 0.272 (last = 0.0000), fitness=0.037420734
358.63 secs, 5254 evals, 5146 steps, improv/step: 0.271 (last = 0.0000), fitness=0.037420734
359.18 secs, 5262 evals, 5154 steps, improv/step: 0.271 (last = 0.2500), fitness=0.037420734
359.70 secs, 5270 evals, 5162 steps, improv/step: 0.271 (last = 0.2500), fitness=0.037420734
360.23 secs, 5278 evals, 5170 steps, improv/step: 0.271 (last = 0.1250), fitness=0.037420734
360.76 secs, 5286 evals, 5179 steps, improv/step: 0.271 (last = 0.0000), fitness=0.037420734
361.29 secs, 5294 evals, 5188 steps, improv/step: 0.270 (last = 0.1111), fitness=0.037420734
361.83 secs, 5302 evals, 5196 steps, improv/step: 0.270 (last = 0.0000), fitness=0.037420734
362.36 secs, 5310 evals, 5204 steps, improv/step: 0.270 (last = 0.1250), fitness=0.037420734
362.92 secs, 5318 evals, 5212 steps, improv/step: 0.269 (last = 0.0000), fitness=0.037420734
363.46 secs, 5326 evals, 5220 steps, improv/step: 0.269 (last = 0.0000), fitness=0.037420734
363.99 secs, 5334 evals, 5229 steps, improv/step: 0.268 (last = 0.0000), fitness=0.037420734
364.52 secs, 5342 evals, 5238 steps, improv/step: 0.268 (last = 0.3333), fitness=0.037420734
365.07 secs, 5350 evals, 5247 steps, improv/step: 0.268 (last = 0.0000), fitness=0.037420734
365.62 secs, 5358 evals, 5255 steps, improv/step: 0.268 (last = 0.2500), fitness=0.037420734
366.14 secs, 5366 evals, 5263 steps, improv/step: 0.268 (last = 0.2500), fitness=0.037420734
366.68 secs, 5374 evals, 5271 steps, improv/step: 0.268 (last = 0.1250), fitness=0.037420734
367.20 secs, 5382 evals, 5279 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037420734
367.74 secs, 5390 evals, 5287 steps, improv/step: 0.267 (last = 0.1250), fitness=0.037420734
368.27 secs, 5398 evals, 5295 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037420734
368.79 secs, 5406 evals, 5303 steps, improv/step: 0.266 (last = 0.0000), fitness=0.037420734
369.32 secs, 5414 evals, 5311 steps, improv/step: 0.266 (last = 0.1250), fitness=0.037420734
369.85 secs, 5422 evals, 5319 steps, improv/step: 0.266 (last = 0.0000), fitness=0.037420734
370.38 secs, 5430 evals, 5327 steps, improv/step: 0.265 (last = 0.1250), fitness=0.037420734
370.92 secs, 5438 evals, 5335 steps, improv/step: 0.265 (last = 0.1250), fitness=0.037420734
371.44 secs, 5446 evals, 5343 steps, improv/step: 0.265 (last = 0.2500), fitness=0.037420734
371.97 secs, 5454 evals, 5351 steps, improv/step: 0.265 (last = 0.2500), fitness=0.037420734
372.51 secs, 5462 evals, 5359 steps, improv/step: 0.265 (last = 0.2500), fitness=0.037420734
373.03 secs, 5470 evals, 5367 steps, improv/step: 0.265 (last = 0.1250), fitness=0.037420734
373.56 secs, 5478 evals, 5375 steps, improv/step: 0.265 (last = 0.1250), fitness=0.037420734
374.09 secs, 5485 evals, 5382 steps, improv/step: 0.264 (last = 0.0000), fitness=0.037420734
374.63 secs, 5493 evals, 5393 steps, improv/step: 0.264 (last = 0.2727), fitness=0.037420734
375.16 secs, 5501 evals, 5402 steps, improv/step: 0.264 (last = 0.1111), fitness=0.037420734
375.69 secs, 5509 evals, 5410 steps, improv/step: 0.264 (last = 0.0000), fitness=0.037420734
376.23 secs, 5517 evals, 5418 steps, improv/step: 0.264 (last = 0.2500), fitness=0.037420734
376.76 secs, 5525 evals, 5427 steps, improv/step: 0.264 (last = 0.2222), fitness=0.037420734
377.29 secs, 5533 evals, 5436 steps, improv/step: 0.263 (last = 0.1111), fitness=0.037420734
377.82 secs, 5541 evals, 5445 steps, improv/step: 0.263 (last = 0.0000), fitness=0.037420734
378.36 secs, 5549 evals, 5456 steps, improv/step: 0.263 (last = 0.1818), fitness=0.037420734
378.89 secs, 5557 evals, 5465 steps, improv/step: 0.263 (last = 0.1111), fitness=0.037420734
379.42 secs, 5565 evals, 5474 steps, improv/step: 0.262 (last = 0.0000), fitness=0.037420734
379.95 secs, 5573 evals, 5482 steps, improv/step: 0.262 (last = 0.0000), fitness=0.037420734
380.53 secs, 5581 evals, 5491 steps, improv/step: 0.262 (last = 0.2222), fitness=0.037420734
381.04 secs, 5587 evals, 5498 steps, improv/step: 0.261 (last = 0.0000), fitness=0.037420734
381.56 secs, 5594 evals, 5505 steps, improv/step: 0.261 (last = 0.1429), fitness=0.037420734
382.08 secs, 5602 evals, 5513 steps, improv/step: 0.261 (last = 0.2500), fitness=0.037420734
382.60 secs, 5610 evals, 5521 steps, improv/step: 0.261 (last = 0.1250), fitness=0.037420734
383.13 secs, 5618 evals, 5532 steps, improv/step: 0.261 (last = 0.0909), fitness=0.037420734
383.66 secs, 5626 evals, 5540 steps, improv/step: 0.260 (last = 0.1250), fitness=0.037420734
384.19 secs, 5634 evals, 5552 steps, improv/step: 0.260 (last = 0.0833), fitness=0.037420734
384.72 secs, 5642 evals, 5565 steps, improv/step: 0.260 (last = 0.3077), fitness=0.037420734
385.24 secs, 5650 evals, 5574 steps, improv/step: 0.260 (last = 0.2222), fitness=0.037420734
385.77 secs, 5658 evals, 5584 steps, improv/step: 0.260 (last = 0.3000), fitness=0.037420734
386.30 secs, 5666 evals, 5604 steps, improv/step: 0.259 (last = 0.0500), fitness=0.037420734
386.83 secs, 5674 evals, 5621 steps, improv/step: 0.259 (last = 0.0588), fitness=0.037420734
387.35 secs, 5682 evals, 5633 steps, improv/step: 0.259 (last = 0.1667), fitness=0.037420734
387.88 secs, 5690 evals, 5649 steps, improv/step: 0.258 (last = 0.1250), fitness=0.037420734
388.41 secs, 5698 evals, 5669 steps, improv/step: 0.258 (last = 0.0500), fitness=0.037420734
388.94 secs, 5706 evals, 5687 steps, improv/step: 0.257 (last = 0.0556), fitness=0.037420734
389.49 secs, 5713 evals, 5699 steps, improv/step: 0.257 (last = 0.0833), fitness=0.037420734
390.03 secs, 5721 evals, 5719 steps, improv/step: 0.256 (last = 0.0500), fitness=0.037420734
390.57 secs, 5729 evals, 5737 steps, improv/step: 0.255 (last = 0.0556), fitness=0.037420734
391.10 secs, 5737 evals, 5752 steps, improv/step: 0.255 (last = 0.0667), fitness=0.037420734
391.63 secs, 5745 evals, 5776 steps, improv/step: 0.254 (last = 0.0000), fitness=0.037420734
392.16 secs, 5753 evals, 5792 steps, improv/step: 0.253 (last = 0.0625), fitness=0.037420734
392.69 secs, 5761 evals, 5805 steps, improv/step: 0.253 (last = 0.0769), fitness=0.037420734
393.22 secs, 5769 evals, 5830 steps, improv/step: 0.252 (last = 0.0400), fitness=0.037420734
393.75 secs, 5777 evals, 5849 steps, improv/step: 0.251 (last = 0.0526), fitness=0.037420734
394.28 secs, 5785 evals, 5875 steps, improv/step: 0.250 (last = 0.0385), fitness=0.037420734
394.81 secs, 5793 evals, 5895 steps, improv/step: 0.250 (last = 0.1000), fitness=0.037420734
395.35 secs, 5801 evals, 5912 steps, improv/step: 0.249 (last = 0.0588), fitness=0.037420734
395.88 secs, 5809 evals, 5925 steps, improv/step: 0.249 (last = 0.0000), fitness=0.037420734
396.41 secs, 5817 evals, 5956 steps, improv/step: 0.247 (last = 0.0323), fitness=0.037420734
396.95 secs, 5825 evals, 5971 steps, improv/step: 0.247 (last = 0.0667), fitness=0.037420734
397.48 secs, 5833 evals, 5992 steps, improv/step: 0.246 (last = 0.0476), fitness=0.037420734
398.04 secs, 5841 evals, 6015 steps, improv/step: 0.245 (last = 0.0000), fitness=0.037420734
398.56 secs, 5848 evals, 6036 steps, improv/step: 0.245 (last = 0.0000), fitness=0.037420734
399.11 secs, 5856 evals, 6063 steps, improv/step: 0.244 (last = 0.0741), fitness=0.037420734
399.63 secs, 5864 evals, 6085 steps, improv/step: 0.243 (last = 0.0455), fitness=0.037420734
400.17 secs, 5872 evals, 6131 steps, improv/step: 0.241 (last = 0.0217), fitness=0.037420734
400.74 secs, 5880 evals, 6160 steps, improv/step: 0.240 (last = 0.0345), fitness=0.037420734
401.29 secs, 5888 evals, 6212 steps, improv/step: 0.239 (last = 0.0385), fitness=0.037420734
401.84 secs, 5896 evals, 6323 steps, improv/step: 0.235 (last = 0.0180), fitness=0.037420734

Optimization stopped after 6428 steps and 401.91 seconds
Termination reason: Too many steps (101) without any function evaluations (probably search has converged)
Steps per second = 15.99
Function evals per second = 14.67
Improvements/step = 0.13509
Total function evaluations = 5897


Best candidate found: [1.50001]

Fitness: 0.037420734

┌ 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"##149"{var"###ParameterizedDiffEqFunction#151", var"###ParameterizedTGradFunction#152", var"###ParameterizedJacobianFunction#153", 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"##149"{var"###ParameterizedDiffEqFunction#151", var"###ParameterizedTGradFunction#152", var"###ParameterizedJacobianFunction#153", 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
0.55 secs, 8 evals, 4 steps, improv/step: 0.750 (last = 0.7500), fitness=765.995548916
1.15 secs, 16 evals, 8 steps, improv/step: 0.500 (last = 0.2500), fitness=765.995548916
1.70 secs, 24 evals, 12 steps, improv/step: 0.417 (last = 0.2500), fitness=377.650884039
2.25 secs, 32 evals, 16 steps, improv/step: 0.562 (last = 1.0000), fitness=41.699825356
2.80 secs, 40 evals, 20 steps, improv/step: 0.500 (last = 0.2500), fitness=41.699825356
3.37 secs, 48 evals, 24 steps, improv/step: 0.458 (last = 0.2500), fitness=41.699825356
3.98 secs, 57 evals, 29 steps, improv/step: 0.414 (last = 0.2000), fitness=41.699825356
4.52 secs, 65 evals, 33 steps, improv/step: 0.364 (last = 0.0000), fitness=41.699825356
5.06 secs, 73 evals, 38 steps, improv/step: 0.316 (last = 0.0000), fitness=41.699825356
5.60 secs, 81 evals, 42 steps, improv/step: 0.333 (last = 0.5000), fitness=41.699825356
6.14 secs, 89 evals, 47 steps, improv/step: 0.298 (last = 0.0000), fitness=41.699825356
6.68 secs, 97 evals, 52 steps, improv/step: 0.327 (last = 0.6000), fitness=41.699825356
7.30 secs, 105 evals, 56 steps, improv/step: 0.304 (last = 0.0000), fitness=41.699825356
7.92 secs, 114 evals, 61 steps, improv/step: 0.295 (last = 0.2000), fitness=41.699825356
8.46 secs, 122 evals, 66 steps, improv/step: 0.303 (last = 0.4000), fitness=41.699825356
9.00 secs, 130 evals, 71 steps, improv/step: 0.338 (last = 0.8000), fitness=41.699825356
9.63 secs, 139 evals, 77 steps, improv/step: 0.338 (last = 0.3333), fitness=41.699825356
10.17 secs, 147 evals, 82 steps, improv/step: 0.329 (last = 0.2000), fitness=41.699825356
10.70 secs, 155 evals, 88 steps, improv/step: 0.330 (last = 0.3333), fitness=32.378698543
11.25 secs, 163 evals, 93 steps, improv/step: 0.333 (last = 0.4000), fitness=32.378698543
11.81 secs, 171 evals, 98 steps, improv/step: 0.347 (last = 0.6000), fitness=32.378698543
12.43 secs, 180 evals, 104 steps, improv/step: 0.356 (last = 0.5000), fitness=9.647973524
12.98 secs, 188 evals, 111 steps, improv/step: 0.360 (last = 0.4286), fitness=9.647973524
13.50 secs, 196 evals, 117 steps, improv/step: 0.368 (last = 0.5000), fitness=9.647973524
14.04 secs, 204 evals, 123 steps, improv/step: 0.366 (last = 0.3333), fitness=9.647973524
14.65 secs, 213 evals, 130 steps, improv/step: 0.354 (last = 0.1429), fitness=9.647973524
15.18 secs, 221 evals, 135 steps, improv/step: 0.356 (last = 0.4000), fitness=9.647973524
15.80 secs, 230 evals, 142 steps, improv/step: 0.352 (last = 0.2857), fitness=9.647973524
16.33 secs, 238 evals, 148 steps, improv/step: 0.338 (last = 0.0000), fitness=9.647973524
16.87 secs, 246 evals, 153 steps, improv/step: 0.346 (last = 0.6000), fitness=9.647973524
17.42 secs, 254 evals, 161 steps, improv/step: 0.335 (last = 0.1250), fitness=9.647973524
17.95 secs, 262 evals, 167 steps, improv/step: 0.341 (last = 0.5000), fitness=9.647973524
18.49 secs, 270 evals, 173 steps, improv/step: 0.335 (last = 0.1667), fitness=9.647973524
19.03 secs, 278 evals, 179 steps, improv/step: 0.330 (last = 0.1667), fitness=9.647973524
19.57 secs, 286 evals, 186 steps, improv/step: 0.317 (last = 0.0000), fitness=9.647973524
20.10 secs, 294 evals, 192 steps, improv/step: 0.312 (last = 0.1667), fitness=9.647973524
20.72 secs, 303 evals, 200 steps, improv/step: 0.310 (last = 0.2500), fitness=9.647973524
21.33 secs, 312 evals, 207 steps, improv/step: 0.304 (last = 0.1429), fitness=9.647973524
21.96 secs, 321 evals, 214 steps, improv/step: 0.313 (last = 0.5714), fitness=9.647973524
22.50 secs, 328 evals, 221 steps, improv/step: 0.321 (last = 0.5714), fitness=9.647973524
23.05 secs, 336 evals, 229 steps, improv/step: 0.314 (last = 0.1250), fitness=9.647973524
23.60 secs, 344 evals, 235 steps, improv/step: 0.323 (last = 0.6667), fitness=8.418457497
24.13 secs, 352 evals, 241 steps, improv/step: 0.336 (last = 0.8333), fitness=8.418457497
24.68 secs, 360 evals, 249 steps, improv/step: 0.329 (last = 0.1250), fitness=8.418457497
25.23 secs, 368 evals, 257 steps, improv/step: 0.323 (last = 0.1250), fitness=8.418457497
25.77 secs, 376 evals, 264 steps, improv/step: 0.333 (last = 0.7143), fitness=8.418457497
26.31 secs, 384 evals, 272 steps, improv/step: 0.338 (last = 0.5000), fitness=8.418457497
26.86 secs, 392 evals, 280 steps, improv/step: 0.339 (last = 0.3750), fitness=8.418457497
27.40 secs, 400 evals, 286 steps, improv/step: 0.336 (last = 0.1667), fitness=8.418457497
27.92 secs, 407 evals, 292 steps, improv/step: 0.332 (last = 0.1667), fitness=8.418457497
28.47 secs, 415 evals, 300 steps, improv/step: 0.323 (last = 0.0000), fitness=8.418457497
28.97 secs, 422 evals, 305 steps, improv/step: 0.321 (last = 0.2000), fitness=8.418457497
29.60 secs, 431 evals, 312 steps, improv/step: 0.321 (last = 0.2857), fitness=8.418457497
30.15 secs, 439 evals, 320 steps, improv/step: 0.328 (last = 0.6250), fitness=8.418457497
30.69 secs, 447 evals, 328 steps, improv/step: 0.326 (last = 0.2500), fitness=8.418457497
31.23 secs, 455 evals, 335 steps, improv/step: 0.328 (last = 0.4286), fitness=8.418457497
31.77 secs, 463 evals, 343 steps, improv/step: 0.329 (last = 0.3750), fitness=8.418457497
32.31 secs, 471 evals, 351 steps, improv/step: 0.328 (last = 0.2500), fitness=8.418457497
32.83 secs, 478 evals, 358 steps, improv/step: 0.321 (last = 0.0000), fitness=8.418457497
33.40 secs, 486 evals, 366 steps, improv/step: 0.320 (last = 0.2500), fitness=8.418457497
33.95 secs, 494 evals, 373 steps, improv/step: 0.319 (last = 0.2857), fitness=8.418457497
34.51 secs, 502 evals, 381 steps, improv/step: 0.318 (last = 0.2500), fitness=8.418457497
35.11 secs, 511 evals, 389 steps, improv/step: 0.319 (last = 0.3750), fitness=8.418457497
35.65 secs, 519 evals, 396 steps, improv/step: 0.316 (last = 0.1429), fitness=8.418457497
36.20 secs, 527 evals, 404 steps, improv/step: 0.314 (last = 0.2500), fitness=8.418457497
36.73 secs, 535 evals, 412 steps, improv/step: 0.311 (last = 0.1250), fitness=8.418457497
37.28 secs, 543 evals, 420 steps, improv/step: 0.310 (last = 0.2500), fitness=8.418457497
37.82 secs, 550 evals, 427 steps, improv/step: 0.307 (last = 0.1429), fitness=8.418457497
38.38 secs, 558 evals, 435 steps, improv/step: 0.303 (last = 0.1250), fitness=8.418457497
38.92 secs, 566 evals, 443 steps, improv/step: 0.305 (last = 0.3750), fitness=8.418457497
39.54 secs, 575 evals, 451 steps, improv/step: 0.304 (last = 0.2500), fitness=2.187408161
40.09 secs, 583 evals, 459 steps, improv/step: 0.303 (last = 0.2500), fitness=2.187408161
40.63 secs, 591 evals, 467 steps, improv/step: 0.304 (last = 0.3750), fitness=2.062390725
41.18 secs, 599 evals, 475 steps, improv/step: 0.309 (last = 0.6250), fitness=0.354997566
41.72 secs, 607 evals, 483 steps, improv/step: 0.308 (last = 0.2500), fitness=0.354997566
42.26 secs, 615 evals, 491 steps, improv/step: 0.308 (last = 0.2500), fitness=0.354997566
42.79 secs, 622 evals, 498 steps, improv/step: 0.307 (last = 0.2857), fitness=0.354997566
43.33 secs, 630 evals, 506 steps, improv/step: 0.306 (last = 0.2500), fitness=0.354997566
43.87 secs, 638 evals, 514 steps, improv/step: 0.305 (last = 0.2500), fitness=0.354997566
44.42 secs, 646 evals, 522 steps, improv/step: 0.301 (last = 0.0000), fitness=0.354997566
44.95 secs, 654 evals, 530 steps, improv/step: 0.304 (last = 0.5000), fitness=0.354997566
45.52 secs, 662 evals, 538 steps, improv/step: 0.307 (last = 0.5000), fitness=0.354997566
46.06 secs, 670 evals, 545 steps, improv/step: 0.310 (last = 0.5714), fitness=0.354997566
46.62 secs, 678 evals, 553 steps, improv/step: 0.307 (last = 0.1250), fitness=0.354997566
47.17 secs, 686 evals, 561 steps, improv/step: 0.303 (last = 0.0000), fitness=0.354997566
47.71 secs, 694 evals, 569 steps, improv/step: 0.299 (last = 0.0000), fitness=0.354997566
48.25 secs, 702 evals, 577 steps, improv/step: 0.298 (last = 0.2500), fitness=0.354997566
48.80 secs, 710 evals, 585 steps, improv/step: 0.296 (last = 0.1250), fitness=0.354997566
49.35 secs, 718 evals, 593 steps, improv/step: 0.295 (last = 0.2500), fitness=0.354997566
49.91 secs, 726 evals, 601 steps, improv/step: 0.296 (last = 0.3750), fitness=0.354997566
50.48 secs, 734 evals, 609 steps, improv/step: 0.297 (last = 0.3750), fitness=0.354997566
51.02 secs, 742 evals, 617 steps, improv/step: 0.297 (last = 0.2500), fitness=0.354997566
51.56 secs, 750 evals, 624 steps, improv/step: 0.295 (last = 0.1429), fitness=0.354997566
52.10 secs, 758 evals, 631 steps, improv/step: 0.295 (last = 0.2857), fitness=0.354997566
52.63 secs, 766 evals, 639 steps, improv/step: 0.294 (last = 0.2500), fitness=0.354997566
53.14 secs, 773 evals, 646 steps, improv/step: 0.296 (last = 0.4286), fitness=0.354997566
53.65 secs, 780 evals, 653 steps, improv/step: 0.297 (last = 0.4286), fitness=0.354997566
54.19 secs, 788 evals, 661 steps, improv/step: 0.297 (last = 0.2500), fitness=0.354997566
54.75 secs, 796 evals, 669 steps, improv/step: 0.294 (last = 0.1250), fitness=0.354997566
55.31 secs, 803 evals, 676 steps, improv/step: 0.296 (last = 0.4286), fitness=0.354997566
55.84 secs, 811 evals, 684 steps, improv/step: 0.295 (last = 0.2500), fitness=0.354997566
56.38 secs, 819 evals, 692 steps, improv/step: 0.296 (last = 0.3750), fitness=0.354997566
56.92 secs, 827 evals, 700 steps, improv/step: 0.299 (last = 0.5000), fitness=0.354997566
57.46 secs, 835 evals, 708 steps, improv/step: 0.297 (last = 0.1250), fitness=0.354997566
57.97 secs, 842 evals, 715 steps, improv/step: 0.297 (last = 0.2857), fitness=0.354997566
58.52 secs, 850 evals, 723 steps, improv/step: 0.295 (last = 0.1250), fitness=0.354997566
59.03 secs, 857 evals, 730 steps, improv/step: 0.296 (last = 0.4286), fitness=0.354997566
59.61 secs, 864 evals, 737 steps, improv/step: 0.293 (last = 0.0000), fitness=0.354997566
60.13 secs, 871 evals, 744 steps, improv/step: 0.292 (last = 0.1429), fitness=0.354997566
60.66 secs, 879 evals, 752 steps, improv/step: 0.290 (last = 0.1250), fitness=0.354997566
61.20 secs, 887 evals, 760 steps, improv/step: 0.288 (last = 0.1250), fitness=0.354997566
61.73 secs, 894 evals, 767 steps, improv/step: 0.286 (last = 0.0000), fitness=0.354997566
62.27 secs, 902 evals, 775 steps, improv/step: 0.286 (last = 0.3750), fitness=0.354997566
62.82 secs, 910 evals, 783 steps, improv/step: 0.284 (last = 0.0000), fitness=0.354997566
63.37 secs, 918 evals, 791 steps, improv/step: 0.284 (last = 0.3750), fitness=0.354997566
63.92 secs, 926 evals, 799 steps, improv/step: 0.283 (last = 0.1250), fitness=0.354997566
64.46 secs, 934 evals, 807 steps, improv/step: 0.284 (last = 0.3750), fitness=0.354997566
65.01 secs, 942 evals, 815 steps, improv/step: 0.282 (last = 0.1250), fitness=0.354997566
65.55 secs, 950 evals, 823 steps, improv/step: 0.281 (last = 0.1250), fitness=0.354997566
66.10 secs, 958 evals, 830 steps, improv/step: 0.281 (last = 0.2857), fitness=0.354997566
66.66 secs, 966 evals, 838 steps, improv/step: 0.279 (last = 0.1250), fitness=0.354997566
67.20 secs, 974 evals, 846 steps, improv/step: 0.280 (last = 0.3750), fitness=0.354997566
67.76 secs, 982 evals, 854 steps, improv/step: 0.278 (last = 0.0000), fitness=0.354997566
68.30 secs, 990 evals, 862 steps, improv/step: 0.278 (last = 0.3750), fitness=0.354997566
68.86 secs, 997 evals, 869 steps, improv/step: 0.277 (last = 0.1429), fitness=0.354997566
69.40 secs, 1005 evals, 877 steps, improv/step: 0.277 (last = 0.2500), fitness=0.354997566
69.94 secs, 1013 evals, 885 steps, improv/step: 0.277 (last = 0.2500), fitness=0.354997566
70.47 secs, 1021 evals, 893 steps, improv/step: 0.279 (last = 0.5000), fitness=0.354997566
71.03 secs, 1029 evals, 901 steps, improv/step: 0.277 (last = 0.1250), fitness=0.354997566
71.57 secs, 1037 evals, 909 steps, improv/step: 0.277 (last = 0.2500), fitness=0.354997566
72.09 secs, 1044 evals, 916 steps, improv/step: 0.277 (last = 0.2857), fitness=0.148978764
72.63 secs, 1052 evals, 924 steps, improv/step: 0.276 (last = 0.1250), fitness=0.148978764
73.16 secs, 1060 evals, 932 steps, improv/step: 0.277 (last = 0.3750), fitness=0.148978764
73.70 secs, 1068 evals, 940 steps, improv/step: 0.277 (last = 0.2500), fitness=0.148978764
74.25 secs, 1076 evals, 948 steps, improv/step: 0.277 (last = 0.3750), fitness=0.148978764
74.79 secs, 1084 evals, 956 steps, improv/step: 0.278 (last = 0.3750), fitness=0.148978764
75.32 secs, 1092 evals, 964 steps, improv/step: 0.277 (last = 0.1250), fitness=0.148978764
75.87 secs, 1100 evals, 972 steps, improv/step: 0.276 (last = 0.1250), fitness=0.148978764
76.40 secs, 1108 evals, 980 steps, improv/step: 0.273 (last = 0.0000), fitness=0.148978764
76.94 secs, 1116 evals, 988 steps, improv/step: 0.272 (last = 0.1250), fitness=0.148978764
77.48 secs, 1124 evals, 996 steps, improv/step: 0.274 (last = 0.5000), fitness=0.148978764
78.02 secs, 1132 evals, 1004 steps, improv/step: 0.274 (last = 0.2500), fitness=0.148978764
78.56 secs, 1140 evals, 1012 steps, improv/step: 0.273 (last = 0.1250), fitness=0.148978764
79.11 secs, 1148 evals, 1020 steps, improv/step: 0.273 (last = 0.2500), fitness=0.148978764
79.64 secs, 1156 evals, 1028 steps, improv/step: 0.273 (last = 0.3750), fitness=0.148978764
80.19 secs, 1164 evals, 1036 steps, improv/step: 0.271 (last = 0.0000), fitness=0.148978764
80.74 secs, 1172 evals, 1044 steps, improv/step: 0.272 (last = 0.3750), fitness=0.148978764
81.28 secs, 1180 evals, 1052 steps, improv/step: 0.272 (last = 0.2500), fitness=0.148978764
81.83 secs, 1188 evals, 1060 steps, improv/step: 0.273 (last = 0.3750), fitness=0.148978764
82.37 secs, 1196 evals, 1068 steps, improv/step: 0.272 (last = 0.1250), fitness=0.148978764
82.91 secs, 1204 evals, 1076 steps, improv/step: 0.271 (last = 0.2500), fitness=0.148978764
83.46 secs, 1212 evals, 1084 steps, improv/step: 0.270 (last = 0.1250), fitness=0.148978764
83.97 secs, 1219 evals, 1091 steps, improv/step: 0.270 (last = 0.2857), fitness=0.148978764
84.48 secs, 1226 evals, 1098 steps, improv/step: 0.270 (last = 0.1429), fitness=0.148978764
85.03 secs, 1234 evals, 1106 steps, improv/step: 0.270 (last = 0.3750), fitness=0.148978764
85.57 secs, 1242 evals, 1114 steps, improv/step: 0.270 (last = 0.2500), fitness=0.132048101
86.10 secs, 1250 evals, 1122 steps, improv/step: 0.268 (last = 0.0000), fitness=0.132048101
86.64 secs, 1258 evals, 1130 steps, improv/step: 0.267 (last = 0.1250), fitness=0.132048101
87.18 secs, 1266 evals, 1138 steps, improv/step: 0.266 (last = 0.1250), fitness=0.132048101
87.73 secs, 1274 evals, 1146 steps, improv/step: 0.266 (last = 0.2500), fitness=0.132048101
88.29 secs, 1282 evals, 1154 steps, improv/step: 0.266 (last = 0.2500), fitness=0.132048101
88.83 secs, 1290 evals, 1162 steps, improv/step: 0.267 (last = 0.3750), fitness=0.111444138
89.36 secs, 1298 evals, 1170 steps, improv/step: 0.265 (last = 0.0000), fitness=0.111444138
89.91 secs, 1306 evals, 1178 steps, improv/step: 0.264 (last = 0.1250), fitness=0.111444138
90.45 secs, 1314 evals, 1186 steps, improv/step: 0.264 (last = 0.2500), fitness=0.111444138
90.98 secs, 1322 evals, 1194 steps, improv/step: 0.264 (last = 0.2500), fitness=0.111444138
91.53 secs, 1330 evals, 1202 steps, improv/step: 0.264 (last = 0.2500), fitness=0.111444138
92.06 secs, 1338 evals, 1210 steps, improv/step: 0.264 (last = 0.2500), fitness=0.111444138
92.63 secs, 1346 evals, 1218 steps, improv/step: 0.264 (last = 0.3750), fitness=0.111444138
93.16 secs, 1354 evals, 1226 steps, improv/step: 0.263 (last = 0.1250), fitness=0.111444138
93.70 secs, 1362 evals, 1234 steps, improv/step: 0.263 (last = 0.2500), fitness=0.111444138
94.25 secs, 1370 evals, 1242 steps, improv/step: 0.263 (last = 0.2500), fitness=0.111444138
94.79 secs, 1378 evals, 1250 steps, improv/step: 0.263 (last = 0.2500), fitness=0.049860111
95.33 secs, 1386 evals, 1258 steps, improv/step: 0.264 (last = 0.3750), fitness=0.049860111
95.88 secs, 1394 evals, 1266 steps, improv/step: 0.265 (last = 0.5000), fitness=0.049860111
96.42 secs, 1402 evals, 1274 steps, improv/step: 0.265 (last = 0.1250), fitness=0.049860111
96.95 secs, 1410 evals, 1282 steps, improv/step: 0.264 (last = 0.1250), fitness=0.049860111
97.50 secs, 1418 evals, 1290 steps, improv/step: 0.263 (last = 0.1250), fitness=0.049860111
98.03 secs, 1426 evals, 1298 steps, improv/step: 0.264 (last = 0.5000), fitness=0.049860111
98.56 secs, 1434 evals, 1306 steps, improv/step: 0.265 (last = 0.3750), fitness=0.049860111
99.11 secs, 1442 evals, 1314 steps, improv/step: 0.265 (last = 0.2500), fitness=0.049860111
99.66 secs, 1449 evals, 1321 steps, improv/step: 0.266 (last = 0.4286), fitness=0.049860111
100.19 secs, 1457 evals, 1329 steps, improv/step: 0.266 (last = 0.2500), fitness=0.049860111
100.74 secs, 1465 evals, 1337 steps, improv/step: 0.265 (last = 0.1250), fitness=0.049860111
101.27 secs, 1473 evals, 1345 steps, improv/step: 0.265 (last = 0.3750), fitness=0.049860111
101.77 secs, 1480 evals, 1352 steps, improv/step: 0.265 (last = 0.1429), fitness=0.049860111
102.28 secs, 1487 evals, 1359 steps, improv/step: 0.265 (last = 0.2857), fitness=0.049860111
102.85 secs, 1495 evals, 1367 steps, improv/step: 0.263 (last = 0.0000), fitness=0.049860111
103.39 secs, 1503 evals, 1375 steps, improv/step: 0.264 (last = 0.3750), fitness=0.049860111
103.93 secs, 1511 evals, 1383 steps, improv/step: 0.264 (last = 0.2500), fitness=0.049860111
104.46 secs, 1519 evals, 1391 steps, improv/step: 0.265 (last = 0.3750), fitness=0.049860111
105.03 secs, 1527 evals, 1399 steps, improv/step: 0.263 (last = 0.0000), fitness=0.049860111
105.56 secs, 1534 evals, 1406 steps, improv/step: 0.263 (last = 0.2857), fitness=0.049860111
106.11 secs, 1542 evals, 1414 steps, improv/step: 0.263 (last = 0.2500), fitness=0.049860111
106.68 secs, 1550 evals, 1422 steps, improv/step: 0.264 (last = 0.3750), fitness=0.049860111
107.22 secs, 1558 evals, 1430 steps, improv/step: 0.264 (last = 0.3750), fitness=0.049860111
107.76 secs, 1566 evals, 1438 steps, improv/step: 0.266 (last = 0.5000), fitness=0.049860111
108.30 secs, 1574 evals, 1446 steps, improv/step: 0.266 (last = 0.3750), fitness=0.049860111
108.80 secs, 1581 evals, 1453 steps, improv/step: 0.266 (last = 0.2857), fitness=0.049860111
109.36 secs, 1589 evals, 1461 steps, improv/step: 0.267 (last = 0.3750), fitness=0.049860111
109.91 secs, 1597 evals, 1469 steps, improv/step: 0.267 (last = 0.2500), fitness=0.049860111
110.45 secs, 1605 evals, 1477 steps, improv/step: 0.266 (last = 0.1250), fitness=0.049860111
110.98 secs, 1613 evals, 1485 steps, improv/step: 0.266 (last = 0.2500), fitness=0.049860111
111.54 secs, 1620 evals, 1492 steps, improv/step: 0.265 (last = 0.0000), fitness=0.049860111
112.10 secs, 1628 evals, 1500 steps, improv/step: 0.265 (last = 0.3750), fitness=0.049860111
112.63 secs, 1636 evals, 1508 steps, improv/step: 0.267 (last = 0.5000), fitness=0.049860111
113.19 secs, 1644 evals, 1516 steps, improv/step: 0.268 (last = 0.5000), fitness=0.049860111
113.72 secs, 1651 evals, 1523 steps, improv/step: 0.267 (last = 0.0000), fitness=0.049860111
114.27 secs, 1659 evals, 1531 steps, improv/step: 0.266 (last = 0.2500), fitness=0.049860111
114.79 secs, 1666 evals, 1538 steps, improv/step: 0.266 (last = 0.1429), fitness=0.049860111
115.34 secs, 1674 evals, 1546 steps, improv/step: 0.265 (last = 0.1250), fitness=0.049860111
115.86 secs, 1682 evals, 1554 steps, improv/step: 0.265 (last = 0.2500), fitness=0.049860111
116.41 secs, 1690 evals, 1562 steps, improv/step: 0.265 (last = 0.2500), fitness=0.049860111
116.93 secs, 1698 evals, 1570 steps, improv/step: 0.264 (last = 0.1250), fitness=0.049860111
117.45 secs, 1706 evals, 1578 steps, improv/step: 0.264 (last = 0.2500), fitness=0.049860111
117.97 secs, 1714 evals, 1586 steps, improv/step: 0.264 (last = 0.2500), fitness=0.041489380
118.51 secs, 1722 evals, 1594 steps, improv/step: 0.265 (last = 0.3750), fitness=0.041489380
119.03 secs, 1730 evals, 1602 steps, improv/step: 0.265 (last = 0.2500), fitness=0.041489380
119.55 secs, 1738 evals, 1610 steps, improv/step: 0.265 (last = 0.3750), fitness=0.041489380
120.07 secs, 1746 evals, 1618 steps, improv/step: 0.265 (last = 0.2500), fitness=0.040807990
120.60 secs, 1754 evals, 1626 steps, improv/step: 0.264 (last = 0.0000), fitness=0.040807990
121.13 secs, 1762 evals, 1634 steps, improv/step: 0.264 (last = 0.2500), fitness=0.040807990
121.66 secs, 1770 evals, 1642 steps, improv/step: 0.266 (last = 0.6250), fitness=0.040807990
122.18 secs, 1778 evals, 1650 steps, improv/step: 0.264 (last = 0.0000), fitness=0.040807990
122.71 secs, 1786 evals, 1658 steps, improv/step: 0.265 (last = 0.3750), fitness=0.040807990
123.24 secs, 1794 evals, 1666 steps, improv/step: 0.265 (last = 0.2500), fitness=0.040807990
123.76 secs, 1802 evals, 1674 steps, improv/step: 0.264 (last = 0.1250), fitness=0.040807990
124.31 secs, 1810 evals, 1682 steps, improv/step: 0.266 (last = 0.6250), fitness=0.039280112
124.84 secs, 1818 evals, 1690 steps, improv/step: 0.266 (last = 0.3750), fitness=0.039280112
125.35 secs, 1826 evals, 1698 steps, improv/step: 0.265 (last = 0.0000), fitness=0.039280112
125.88 secs, 1834 evals, 1706 steps, improv/step: 0.265 (last = 0.2500), fitness=0.039280112
126.40 secs, 1842 evals, 1714 steps, improv/step: 0.265 (last = 0.3750), fitness=0.039280112
126.94 secs, 1850 evals, 1722 steps, improv/step: 0.266 (last = 0.3750), fitness=0.039280112
127.46 secs, 1858 evals, 1730 steps, improv/step: 0.265 (last = 0.0000), fitness=0.039280112
127.99 secs, 1866 evals, 1738 steps, improv/step: 0.264 (last = 0.0000), fitness=0.039280112
128.53 secs, 1874 evals, 1746 steps, improv/step: 0.262 (last = 0.0000), fitness=0.039280112
129.06 secs, 1882 evals, 1754 steps, improv/step: 0.262 (last = 0.1250), fitness=0.039280112
129.61 secs, 1890 evals, 1762 steps, improv/step: 0.262 (last = 0.2500), fitness=0.039280112
130.18 secs, 1897 evals, 1769 steps, improv/step: 0.261 (last = 0.1429), fitness=0.039280112
130.75 secs, 1905 evals, 1777 steps, improv/step: 0.261 (last = 0.2500), fitness=0.039280112
131.28 secs, 1913 evals, 1786 steps, improv/step: 0.260 (last = 0.1111), fitness=0.039280112
131.82 secs, 1920 evals, 1793 steps, improv/step: 0.260 (last = 0.2857), fitness=0.039280112
132.37 secs, 1928 evals, 1801 steps, improv/step: 0.260 (last = 0.1250), fitness=0.039280112
132.90 secs, 1936 evals, 1809 steps, improv/step: 0.260 (last = 0.2500), fitness=0.039280112
133.44 secs, 1944 evals, 1817 steps, improv/step: 0.259 (last = 0.1250), fitness=0.039280112
133.96 secs, 1952 evals, 1825 steps, improv/step: 0.258 (last = 0.0000), fitness=0.039280112
134.49 secs, 1960 evals, 1833 steps, improv/step: 0.259 (last = 0.3750), fitness=0.039280112
135.02 secs, 1968 evals, 1841 steps, improv/step: 0.259 (last = 0.2500), fitness=0.039280112
135.56 secs, 1976 evals, 1849 steps, improv/step: 0.259 (last = 0.2500), fitness=0.039280112
136.10 secs, 1984 evals, 1857 steps, improv/step: 0.257 (last = 0.0000), fitness=0.039280112
136.64 secs, 1992 evals, 1865 steps, improv/step: 0.257 (last = 0.2500), fitness=0.039269958
137.18 secs, 2000 evals, 1873 steps, improv/step: 0.258 (last = 0.3750), fitness=0.039269958
137.73 secs, 2008 evals, 1881 steps, improv/step: 0.258 (last = 0.2500), fitness=0.039269958
138.26 secs, 2016 evals, 1889 steps, improv/step: 0.259 (last = 0.5000), fitness=0.039269958
138.81 secs, 2024 evals, 1897 steps, improv/step: 0.259 (last = 0.3750), fitness=0.039269958
139.36 secs, 2032 evals, 1905 steps, improv/step: 0.259 (last = 0.1250), fitness=0.039269958
139.90 secs, 2040 evals, 1913 steps, improv/step: 0.259 (last = 0.2500), fitness=0.039269958
140.44 secs, 2048 evals, 1921 steps, improv/step: 0.258 (last = 0.1250), fitness=0.039269958
140.98 secs, 2056 evals, 1929 steps, improv/step: 0.258 (last = 0.2500), fitness=0.039269958
141.52 secs, 2064 evals, 1937 steps, improv/step: 0.258 (last = 0.1250), fitness=0.039269958
142.07 secs, 2072 evals, 1945 steps, improv/step: 0.258 (last = 0.2500), fitness=0.039269958
142.61 secs, 2080 evals, 1953 steps, improv/step: 0.257 (last = 0.1250), fitness=0.039269958
143.15 secs, 2088 evals, 1961 steps, improv/step: 0.257 (last = 0.1250), fitness=0.039269958
143.69 secs, 2096 evals, 1969 steps, improv/step: 0.257 (last = 0.5000), fitness=0.039269958
144.24 secs, 2104 evals, 1977 steps, improv/step: 0.258 (last = 0.3750), fitness=0.037712191
144.78 secs, 2112 evals, 1985 steps, improv/step: 0.259 (last = 0.5000), fitness=0.037712191
145.34 secs, 2120 evals, 1993 steps, improv/step: 0.259 (last = 0.2500), fitness=0.037712191
145.90 secs, 2127 evals, 2000 steps, improv/step: 0.259 (last = 0.1429), fitness=0.037712191
146.46 secs, 2135 evals, 2008 steps, improv/step: 0.258 (last = 0.1250), fitness=0.037712191
147.01 secs, 2143 evals, 2016 steps, improv/step: 0.257 (last = 0.0000), fitness=0.037712191
147.56 secs, 2151 evals, 2024 steps, improv/step: 0.257 (last = 0.2500), fitness=0.037712191
148.10 secs, 2159 evals, 2032 steps, improv/step: 0.256 (last = 0.1250), fitness=0.037712191
148.65 secs, 2167 evals, 2040 steps, improv/step: 0.255 (last = 0.0000), fitness=0.037712191
149.21 secs, 2175 evals, 2048 steps, improv/step: 0.254 (last = 0.0000), fitness=0.037712191
149.77 secs, 2183 evals, 2056 steps, improv/step: 0.253 (last = 0.0000), fitness=0.037712191
150.32 secs, 2191 evals, 2064 steps, improv/step: 0.254 (last = 0.3750), fitness=0.037712191
150.91 secs, 2199 evals, 2072 steps, improv/step: 0.254 (last = 0.3750), fitness=0.037712191
151.42 secs, 2206 evals, 2079 steps, improv/step: 0.254 (last = 0.1429), fitness=0.037712191
151.96 secs, 2214 evals, 2087 steps, improv/step: 0.253 (last = 0.1250), fitness=0.037712191
152.51 secs, 2222 evals, 2095 steps, improv/step: 0.254 (last = 0.5000), fitness=0.037712191
153.06 secs, 2230 evals, 2103 steps, improv/step: 0.254 (last = 0.1250), fitness=0.037712191
153.60 secs, 2238 evals, 2111 steps, improv/step: 0.254 (last = 0.2500), fitness=0.037712191
154.16 secs, 2246 evals, 2119 steps, improv/step: 0.254 (last = 0.3750), fitness=0.037712191
154.71 secs, 2254 evals, 2127 steps, improv/step: 0.253 (last = 0.0000), fitness=0.037712191
155.25 secs, 2262 evals, 2135 steps, improv/step: 0.254 (last = 0.5000), fitness=0.037712191
155.76 secs, 2269 evals, 2142 steps, improv/step: 0.255 (last = 0.5714), fitness=0.037712191
156.32 secs, 2277 evals, 2150 steps, improv/step: 0.255 (last = 0.2500), fitness=0.037712191
156.89 secs, 2285 evals, 2158 steps, improv/step: 0.255 (last = 0.1250), fitness=0.037712191
157.40 secs, 2292 evals, 2165 steps, improv/step: 0.254 (last = 0.0000), fitness=0.037712191
157.96 secs, 2300 evals, 2173 steps, improv/step: 0.254 (last = 0.1250), fitness=0.037712191
158.52 secs, 2308 evals, 2181 steps, improv/step: 0.254 (last = 0.2500), fitness=0.037712191
159.06 secs, 2316 evals, 2189 steps, improv/step: 0.253 (last = 0.1250), fitness=0.037712191
159.59 secs, 2324 evals, 2197 steps, improv/step: 0.253 (last = 0.1250), fitness=0.037712191
160.14 secs, 2332 evals, 2205 steps, improv/step: 0.252 (last = 0.0000), fitness=0.037712191
160.68 secs, 2340 evals, 2213 steps, improv/step: 0.253 (last = 0.6250), fitness=0.037712191
161.24 secs, 2347 evals, 2220 steps, improv/step: 0.253 (last = 0.2857), fitness=0.037712191
161.79 secs, 2355 evals, 2228 steps, improv/step: 0.253 (last = 0.2500), fitness=0.037712191
162.34 secs, 2363 evals, 2236 steps, improv/step: 0.253 (last = 0.2500), fitness=0.037712191
162.87 secs, 2371 evals, 2244 steps, improv/step: 0.253 (last = 0.1250), fitness=0.037712191
163.41 secs, 2379 evals, 2252 steps, improv/step: 0.253 (last = 0.2500), fitness=0.037602769
163.95 secs, 2387 evals, 2260 steps, improv/step: 0.252 (last = 0.1250), fitness=0.037602769
164.48 secs, 2395 evals, 2268 steps, improv/step: 0.252 (last = 0.2500), fitness=0.037602769
165.03 secs, 2403 evals, 2276 steps, improv/step: 0.252 (last = 0.2500), fitness=0.037602769
165.55 secs, 2410 evals, 2283 steps, improv/step: 0.252 (last = 0.2857), fitness=0.037602769
166.09 secs, 2418 evals, 2291 steps, improv/step: 0.254 (last = 0.6250), fitness=0.037602769
166.63 secs, 2426 evals, 2299 steps, improv/step: 0.253 (last = 0.1250), fitness=0.037602769
167.17 secs, 2434 evals, 2307 steps, improv/step: 0.254 (last = 0.5000), fitness=0.037527302
167.73 secs, 2442 evals, 2315 steps, improv/step: 0.254 (last = 0.1250), fitness=0.037527302
168.26 secs, 2450 evals, 2323 steps, improv/step: 0.253 (last = 0.0000), fitness=0.037527302
168.80 secs, 2458 evals, 2331 steps, improv/step: 0.254 (last = 0.6250), fitness=0.037527302
169.34 secs, 2466 evals, 2339 steps, improv/step: 0.255 (last = 0.6250), fitness=0.037527302
169.89 secs, 2474 evals, 2347 steps, improv/step: 0.256 (last = 0.3750), fitness=0.037527302
170.44 secs, 2482 evals, 2355 steps, improv/step: 0.256 (last = 0.3750), fitness=0.037527302
170.98 secs, 2490 evals, 2363 steps, improv/step: 0.256 (last = 0.1250), fitness=0.037527302
171.52 secs, 2498 evals, 2371 steps, improv/step: 0.255 (last = 0.0000), fitness=0.037527302
172.04 secs, 2505 evals, 2378 steps, improv/step: 0.255 (last = 0.4286), fitness=0.037466642
172.59 secs, 2513 evals, 2386 steps, improv/step: 0.255 (last = 0.2500), fitness=0.037466642
173.17 secs, 2521 evals, 2394 steps, improv/step: 0.256 (last = 0.3750), fitness=0.037466642
173.71 secs, 2528 evals, 2401 steps, improv/step: 0.256 (last = 0.4286), fitness=0.037466642
174.26 secs, 2536 evals, 2409 steps, improv/step: 0.256 (last = 0.2500), fitness=0.037425915
174.81 secs, 2544 evals, 2417 steps, improv/step: 0.256 (last = 0.2500), fitness=0.037425915
175.36 secs, 2552 evals, 2425 steps, improv/step: 0.256 (last = 0.3750), fitness=0.037425915
175.89 secs, 2558 evals, 2431 steps, improv/step: 0.256 (last = 0.0000), fitness=0.037425915
176.41 secs, 2564 evals, 2437 steps, improv/step: 0.256 (last = 0.1667), fitness=0.037425915
176.92 secs, 2571 evals, 2444 steps, improv/step: 0.255 (last = 0.1429), fitness=0.037425915
177.47 secs, 2579 evals, 2452 steps, improv/step: 0.256 (last = 0.5000), fitness=0.037425915
178.02 secs, 2587 evals, 2460 steps, improv/step: 0.257 (last = 0.3750), fitness=0.037425915
178.56 secs, 2595 evals, 2468 steps, improv/step: 0.256 (last = 0.2500), fitness=0.037425915
179.10 secs, 2603 evals, 2476 steps, improv/step: 0.257 (last = 0.5000), fitness=0.037425915
179.64 secs, 2611 evals, 2484 steps, improv/step: 0.258 (last = 0.3750), fitness=0.037425915
180.18 secs, 2619 evals, 2492 steps, improv/step: 0.257 (last = 0.0000), fitness=0.037425915
180.68 secs, 2626 evals, 2499 steps, improv/step: 0.257 (last = 0.2857), fitness=0.037425915
181.22 secs, 2634 evals, 2507 steps, improv/step: 0.256 (last = 0.1250), fitness=0.037425915
181.77 secs, 2642 evals, 2515 steps, improv/step: 0.256 (last = 0.2500), fitness=0.037425915
182.32 secs, 2650 evals, 2523 steps, improv/step: 0.257 (last = 0.3750), fitness=0.037425915
182.87 secs, 2658 evals, 2531 steps, improv/step: 0.257 (last = 0.2500), fitness=0.037425915
183.43 secs, 2666 evals, 2539 steps, improv/step: 0.257 (last = 0.3750), fitness=0.037425915
183.98 secs, 2674 evals, 2547 steps, improv/step: 0.257 (last = 0.2500), fitness=0.037425807
184.53 secs, 2682 evals, 2555 steps, improv/step: 0.257 (last = 0.2500), fitness=0.037425807
185.10 secs, 2690 evals, 2563 steps, improv/step: 0.258 (last = 0.3750), fitness=0.037425807
185.60 secs, 2697 evals, 2570 steps, improv/step: 0.258 (last = 0.5714), fitness=0.037425807
186.14 secs, 2705 evals, 2578 steps, improv/step: 0.259 (last = 0.3750), fitness=0.037425807
186.70 secs, 2713 evals, 2586 steps, improv/step: 0.259 (last = 0.5000), fitness=0.037425807
187.26 secs, 2721 evals, 2594 steps, improv/step: 0.259 (last = 0.1250), fitness=0.037425807
187.80 secs, 2729 evals, 2602 steps, improv/step: 0.260 (last = 0.5000), fitness=0.037425807
188.35 secs, 2737 evals, 2610 steps, improv/step: 0.260 (last = 0.2500), fitness=0.037425807
188.85 secs, 2744 evals, 2617 steps, improv/step: 0.261 (last = 0.5714), fitness=0.037425807
189.42 secs, 2752 evals, 2625 steps, improv/step: 0.261 (last = 0.2500), fitness=0.037425807
189.97 secs, 2760 evals, 2633 steps, improv/step: 0.261 (last = 0.3750), fitness=0.037425807
190.53 secs, 2768 evals, 2641 steps, improv/step: 0.261 (last = 0.1250), fitness=0.037425807
191.08 secs, 2776 evals, 2649 steps, improv/step: 0.261 (last = 0.3750), fitness=0.037425807
191.66 secs, 2784 evals, 2657 steps, improv/step: 0.260 (last = 0.0000), fitness=0.037425807
192.21 secs, 2791 evals, 2665 steps, improv/step: 0.260 (last = 0.1250), fitness=0.037424622
192.72 secs, 2798 evals, 2672 steps, improv/step: 0.260 (last = 0.4286), fitness=0.037421584
193.26 secs, 2806 evals, 2680 steps, improv/step: 0.260 (last = 0.2500), fitness=0.037421584
193.80 secs, 2814 evals, 2688 steps, improv/step: 0.260 (last = 0.2500), fitness=0.037421584
194.36 secs, 2822 evals, 2696 steps, improv/step: 0.259 (last = 0.0000), fitness=0.037421584
194.90 secs, 2830 evals, 2704 steps, improv/step: 0.259 (last = 0.1250), fitness=0.037421584
195.45 secs, 2838 evals, 2712 steps, improv/step: 0.259 (last = 0.3750), fitness=0.037421584
196.01 secs, 2846 evals, 2720 steps, improv/step: 0.259 (last = 0.2500), fitness=0.037421584
196.55 secs, 2854 evals, 2728 steps, improv/step: 0.258 (last = 0.0000), fitness=0.037421584
197.06 secs, 2862 evals, 2736 steps, improv/step: 0.259 (last = 0.3750), fitness=0.037421584
197.58 secs, 2870 evals, 2744 steps, improv/step: 0.259 (last = 0.3750), fitness=0.037421584
198.11 secs, 2878 evals, 2752 steps, improv/step: 0.259 (last = 0.2500), fitness=0.037421584
198.64 secs, 2886 evals, 2760 steps, improv/step: 0.259 (last = 0.3750), fitness=0.037421584
199.17 secs, 2894 evals, 2768 steps, improv/step: 0.260 (last = 0.3750), fitness=0.037421584
199.70 secs, 2902 evals, 2776 steps, improv/step: 0.260 (last = 0.2500), fitness=0.037421584
200.22 secs, 2910 evals, 2784 steps, improv/step: 0.260 (last = 0.3750), fitness=0.037421584
200.75 secs, 2918 evals, 2792 steps, improv/step: 0.260 (last = 0.2500), fitness=0.037421584
201.28 secs, 2926 evals, 2800 steps, improv/step: 0.260 (last = 0.1250), fitness=0.037421584
201.84 secs, 2934 evals, 2808 steps, improv/step: 0.261 (last = 0.6250), fitness=0.037421584
202.38 secs, 2942 evals, 2816 steps, improv/step: 0.261 (last = 0.2500), fitness=0.037421584
202.93 secs, 2950 evals, 2824 steps, improv/step: 0.260 (last = 0.1250), fitness=0.037421584
203.47 secs, 2958 evals, 2832 steps, improv/step: 0.261 (last = 0.3750), fitness=0.037421584
204.02 secs, 2966 evals, 2840 steps, improv/step: 0.260 (last = 0.1250), fitness=0.037421584
204.57 secs, 2974 evals, 2848 steps, improv/step: 0.260 (last = 0.1250), fitness=0.037421584
205.12 secs, 2982 evals, 2856 steps, improv/step: 0.260 (last = 0.2500), fitness=0.037421584
205.67 secs, 2990 evals, 2864 steps, improv/step: 0.260 (last = 0.5000), fitness=0.037421584
206.22 secs, 2998 evals, 2872 steps, improv/step: 0.260 (last = 0.2500), fitness=0.037420858
206.76 secs, 3006 evals, 2880 steps, improv/step: 0.260 (last = 0.1250), fitness=0.037420852
207.31 secs, 3013 evals, 2887 steps, improv/step: 0.260 (last = 0.1429), fitness=0.037420852
207.85 secs, 3020 evals, 2894 steps, improv/step: 0.260 (last = 0.2857), fitness=0.037420852
208.38 secs, 3028 evals, 2902 steps, improv/step: 0.260 (last = 0.3750), fitness=0.037420852
208.91 secs, 3036 evals, 2910 steps, improv/step: 0.260 (last = 0.1250), fitness=0.037420852
209.45 secs, 3044 evals, 2918 steps, improv/step: 0.260 (last = 0.2500), fitness=0.037420852
209.99 secs, 3052 evals, 2926 steps, improv/step: 0.261 (last = 0.6250), fitness=0.037420852
210.53 secs, 3060 evals, 2934 steps, improv/step: 0.261 (last = 0.2500), fitness=0.037420852
211.07 secs, 3068 evals, 2942 steps, improv/step: 0.261 (last = 0.5000), fitness=0.037420852
211.61 secs, 3076 evals, 2950 steps, improv/step: 0.261 (last = 0.1250), fitness=0.037420852
212.15 secs, 3084 evals, 2958 steps, improv/step: 0.262 (last = 0.5000), fitness=0.037420852
212.68 secs, 3092 evals, 2966 steps, improv/step: 0.262 (last = 0.2500), fitness=0.037420852
213.24 secs, 3100 evals, 2974 steps, improv/step: 0.262 (last = 0.2500), fitness=0.037420852
213.79 secs, 3107 evals, 2981 steps, improv/step: 0.261 (last = 0.1429), fitness=0.037420852
214.33 secs, 3115 evals, 2989 steps, improv/step: 0.261 (last = 0.2500), fitness=0.037420852
214.87 secs, 3123 evals, 2997 steps, improv/step: 0.261 (last = 0.2500), fitness=0.037420852
215.43 secs, 3131 evals, 3005 steps, improv/step: 0.262 (last = 0.3750), fitness=0.037420852
215.97 secs, 3139 evals, 3013 steps, improv/step: 0.262 (last = 0.3750), fitness=0.037420852
216.53 secs, 3147 evals, 3021 steps, improv/step: 0.263 (last = 0.6250), fitness=0.037420852
217.08 secs, 3155 evals, 3029 steps, improv/step: 0.263 (last = 0.5000), fitness=0.037420852
217.64 secs, 3163 evals, 3037 steps, improv/step: 0.263 (last = 0.1250), fitness=0.037420852
218.19 secs, 3171 evals, 3045 steps, improv/step: 0.263 (last = 0.3750), fitness=0.037420852
218.75 secs, 3179 evals, 3053 steps, improv/step: 0.263 (last = 0.2500), fitness=0.037420852
219.32 secs, 3186 evals, 3060 steps, improv/step: 0.264 (last = 0.5714), fitness=0.037420852
219.84 secs, 3193 evals, 3067 steps, improv/step: 0.264 (last = 0.1429), fitness=0.037420852
220.35 secs, 3200 evals, 3074 steps, improv/step: 0.264 (last = 0.4286), fitness=0.037420852
220.91 secs, 3208 evals, 3082 steps, improv/step: 0.264 (last = 0.3750), fitness=0.037420852
221.41 secs, 3215 evals, 3089 steps, improv/step: 0.264 (last = 0.1429), fitness=0.037420852
221.93 secs, 3222 evals, 3096 steps, improv/step: 0.264 (last = 0.2857), fitness=0.037420852
222.46 secs, 3229 evals, 3103 steps, improv/step: 0.264 (last = 0.1429), fitness=0.037420852
223.00 secs, 3236 evals, 3110 steps, improv/step: 0.264 (last = 0.4286), fitness=0.037420852
223.55 secs, 3244 evals, 3118 steps, improv/step: 0.264 (last = 0.2500), fitness=0.037420852
224.10 secs, 3252 evals, 3126 steps, improv/step: 0.265 (last = 0.5000), fitness=0.037420852
224.67 secs, 3260 evals, 3134 steps, improv/step: 0.265 (last = 0.3750), fitness=0.037420852
225.23 secs, 3268 evals, 3142 steps, improv/step: 0.264 (last = 0.0000), fitness=0.037420852
225.79 secs, 3276 evals, 3150 steps, improv/step: 0.265 (last = 0.5000), fitness=0.037420852
226.35 secs, 3284 evals, 3158 steps, improv/step: 0.265 (last = 0.1250), fitness=0.037420852
226.91 secs, 3292 evals, 3166 steps, improv/step: 0.265 (last = 0.2500), fitness=0.037420852
227.46 secs, 3300 evals, 3174 steps, improv/step: 0.265 (last = 0.2500), fitness=0.037420852
227.98 secs, 3307 evals, 3181 steps, improv/step: 0.265 (last = 0.5714), fitness=0.037420852
228.48 secs, 3314 evals, 3188 steps, improv/step: 0.265 (last = 0.1429), fitness=0.037420852
229.04 secs, 3322 evals, 3196 steps, improv/step: 0.265 (last = 0.1250), fitness=0.037420852
229.60 secs, 3330 evals, 3204 steps, improv/step: 0.266 (last = 0.6250), fitness=0.037420852
230.12 secs, 3337 evals, 3211 steps, improv/step: 0.266 (last = 0.2857), fitness=0.037420852
230.67 secs, 3345 evals, 3219 steps, improv/step: 0.265 (last = 0.1250), fitness=0.037420852
231.23 secs, 3353 evals, 3227 steps, improv/step: 0.265 (last = 0.1250), fitness=0.037420852
231.79 secs, 3361 evals, 3235 steps, improv/step: 0.265 (last = 0.1250), fitness=0.037420852
232.34 secs, 3369 evals, 3243 steps, improv/step: 0.265 (last = 0.5000), fitness=0.037420852
232.89 secs, 3377 evals, 3251 steps, improv/step: 0.265 (last = 0.0000), fitness=0.037420852
233.44 secs, 3385 evals, 3259 steps, improv/step: 0.264 (last = 0.2500), fitness=0.037420852
233.99 secs, 3393 evals, 3267 steps, improv/step: 0.264 (last = 0.1250), fitness=0.037420852
234.54 secs, 3401 evals, 3275 steps, improv/step: 0.264 (last = 0.2500), fitness=0.037420852
235.08 secs, 3409 evals, 3283 steps, improv/step: 0.264 (last = 0.3750), fitness=0.037420852
235.63 secs, 3417 evals, 3291 steps, improv/step: 0.264 (last = 0.2500), fitness=0.037420852
236.19 secs, 3425 evals, 3299 steps, improv/step: 0.265 (last = 0.5000), fitness=0.037420852
236.73 secs, 3433 evals, 3307 steps, improv/step: 0.265 (last = 0.1250), fitness=0.037420852
237.28 secs, 3441 evals, 3315 steps, improv/step: 0.265 (last = 0.5000), fitness=0.037420740
237.84 secs, 3449 evals, 3323 steps, improv/step: 0.265 (last = 0.0000), fitness=0.037420740
238.40 secs, 3456 evals, 3330 steps, improv/step: 0.265 (last = 0.4286), fitness=0.037420740
238.96 secs, 3464 evals, 3338 steps, improv/step: 0.265 (last = 0.2500), fitness=0.037420740
239.51 secs, 3472 evals, 3346 steps, improv/step: 0.265 (last = 0.3750), fitness=0.037420739
240.06 secs, 3480 evals, 3354 steps, improv/step: 0.265 (last = 0.2500), fitness=0.037420739
240.57 secs, 3487 evals, 3361 steps, improv/step: 0.265 (last = 0.2857), fitness=0.037420739
241.08 secs, 3493 evals, 3367 steps, improv/step: 0.265 (last = 0.1667), fitness=0.037420739
241.65 secs, 3501 evals, 3375 steps, improv/step: 0.265 (last = 0.3750), fitness=0.037420739
242.19 secs, 3509 evals, 3383 steps, improv/step: 0.265 (last = 0.2500), fitness=0.037420739
242.75 secs, 3517 evals, 3391 steps, improv/step: 0.265 (last = 0.2500), fitness=0.037420739
243.30 secs, 3525 evals, 3399 steps, improv/step: 0.265 (last = 0.2500), fitness=0.037420739
243.85 secs, 3533 evals, 3407 steps, improv/step: 0.265 (last = 0.1250), fitness=0.037420739
244.40 secs, 3540 evals, 3414 steps, improv/step: 0.264 (last = 0.1429), fitness=0.037420739
244.95 secs, 3548 evals, 3422 steps, improv/step: 0.265 (last = 0.3750), fitness=0.037420739
245.48 secs, 3556 evals, 3430 steps, improv/step: 0.265 (last = 0.5000), fitness=0.037420739
246.05 secs, 3564 evals, 3438 steps, improv/step: 0.265 (last = 0.1250), fitness=0.037420739
246.59 secs, 3572 evals, 3446 steps, improv/step: 0.265 (last = 0.2500), fitness=0.037420739
247.14 secs, 3580 evals, 3454 steps, improv/step: 0.265 (last = 0.2500), fitness=0.037420739
247.69 secs, 3588 evals, 3462 steps, improv/step: 0.265 (last = 0.5000), fitness=0.037420739
248.24 secs, 3596 evals, 3470 steps, improv/step: 0.266 (last = 0.3750), fitness=0.037420739
248.78 secs, 3604 evals, 3478 steps, improv/step: 0.265 (last = 0.1250), fitness=0.037420739
249.33 secs, 3612 evals, 3486 steps, improv/step: 0.266 (last = 0.5000), fitness=0.037420739
249.87 secs, 3620 evals, 3494 steps, improv/step: 0.266 (last = 0.1250), fitness=0.037420739
250.40 secs, 3628 evals, 3502 steps, improv/step: 0.266 (last = 0.2500), fitness=0.037420739
250.95 secs, 3636 evals, 3510 steps, improv/step: 0.266 (last = 0.5000), fitness=0.037420739
251.50 secs, 3644 evals, 3518 steps, improv/step: 0.266 (last = 0.1250), fitness=0.037420739
252.07 secs, 3652 evals, 3526 steps, improv/step: 0.266 (last = 0.3750), fitness=0.037420739
252.58 secs, 3658 evals, 3532 steps, improv/step: 0.266 (last = 0.0000), fitness=0.037420739
253.09 secs, 3664 evals, 3538 steps, improv/step: 0.266 (last = 0.5000), fitness=0.037420739
253.65 secs, 3671 evals, 3545 steps, improv/step: 0.267 (last = 0.8571), fitness=0.037420739
254.21 secs, 3679 evals, 3553 steps, improv/step: 0.267 (last = 0.3750), fitness=0.037420739
254.75 secs, 3687 evals, 3561 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037420739
255.29 secs, 3695 evals, 3569 steps, improv/step: 0.267 (last = 0.3750), fitness=0.037420738
255.84 secs, 3703 evals, 3577 steps, improv/step: 0.267 (last = 0.1250), fitness=0.037420738
256.38 secs, 3711 evals, 3585 steps, improv/step: 0.266 (last = 0.1250), fitness=0.037420738
256.92 secs, 3719 evals, 3593 steps, improv/step: 0.267 (last = 0.5000), fitness=0.037420738
257.49 secs, 3727 evals, 3601 steps, improv/step: 0.267 (last = 0.5000), fitness=0.037420735
258.05 secs, 3735 evals, 3609 steps, improv/step: 0.268 (last = 0.3750), fitness=0.037420735
258.61 secs, 3743 evals, 3617 steps, improv/step: 0.267 (last = 0.1250), fitness=0.037420735
259.13 secs, 3750 evals, 3624 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037420735
259.69 secs, 3758 evals, 3632 steps, improv/step: 0.267 (last = 0.2500), fitness=0.037420735
260.21 secs, 3765 evals, 3639 steps, improv/step: 0.267 (last = 0.1429), fitness=0.037420735
260.76 secs, 3773 evals, 3647 steps, improv/step: 0.267 (last = 0.3750), fitness=0.037420735
261.31 secs, 3781 evals, 3655 steps, improv/step: 0.267 (last = 0.2500), fitness=0.037420735
261.88 secs, 3789 evals, 3663 steps, improv/step: 0.267 (last = 0.3750), fitness=0.037420735
262.43 secs, 3797 evals, 3671 steps, improv/step: 0.267 (last = 0.1250), fitness=0.037420735
262.99 secs, 3805 evals, 3679 steps, improv/step: 0.267 (last = 0.2500), fitness=0.037420735
263.55 secs, 3813 evals, 3687 steps, improv/step: 0.267 (last = 0.2500), fitness=0.037420735
264.10 secs, 3821 evals, 3695 steps, improv/step: 0.266 (last = 0.1250), fitness=0.037420735
264.65 secs, 3829 evals, 3703 steps, improv/step: 0.267 (last = 0.3750), fitness=0.037420735
265.15 secs, 3836 evals, 3710 steps, improv/step: 0.267 (last = 0.2857), fitness=0.037420735
265.70 secs, 3844 evals, 3718 steps, improv/step: 0.267 (last = 0.3750), fitness=0.037420735
266.25 secs, 3852 evals, 3726 steps, improv/step: 0.267 (last = 0.3750), fitness=0.037420735
266.81 secs, 3860 evals, 3734 steps, improv/step: 0.267 (last = 0.2500), fitness=0.037420735
267.35 secs, 3868 evals, 3742 steps, improv/step: 0.267 (last = 0.1250), fitness=0.037420735
267.88 secs, 3876 evals, 3750 steps, improv/step: 0.267 (last = 0.3750), fitness=0.037420735
268.42 secs, 3884 evals, 3758 steps, improv/step: 0.267 (last = 0.2500), fitness=0.037420735
268.96 secs, 3891 evals, 3765 steps, improv/step: 0.267 (last = 0.2857), fitness=0.037420735
269.51 secs, 3899 evals, 3773 steps, improv/step: 0.267 (last = 0.3750), fitness=0.037420735
270.05 secs, 3907 evals, 3781 steps, improv/step: 0.268 (last = 0.6250), fitness=0.037420735
270.58 secs, 3915 evals, 3789 steps, improv/step: 0.268 (last = 0.1250), fitness=0.037420735
271.11 secs, 3923 evals, 3797 steps, improv/step: 0.267 (last = 0.1250), fitness=0.037420735
271.65 secs, 3931 evals, 3805 steps, improv/step: 0.267 (last = 0.2500), fitness=0.037420735
272.19 secs, 3939 evals, 3813 steps, improv/step: 0.268 (last = 0.3750), fitness=0.037420735
272.72 secs, 3947 evals, 3821 steps, improv/step: 0.268 (last = 0.5000), fitness=0.037420735
273.27 secs, 3955 evals, 3829 steps, improv/step: 0.268 (last = 0.3750), fitness=0.037420734
273.80 secs, 3963 evals, 3837 steps, improv/step: 0.268 (last = 0.3750), fitness=0.037420734
274.33 secs, 3971 evals, 3845 steps, improv/step: 0.268 (last = 0.0000), fitness=0.037420734
274.85 secs, 3979 evals, 3853 steps, improv/step: 0.268 (last = 0.2500), fitness=0.037420734
275.38 secs, 3987 evals, 3861 steps, improv/step: 0.268 (last = 0.3750), fitness=0.037420734
275.91 secs, 3995 evals, 3869 steps, improv/step: 0.268 (last = 0.1250), fitness=0.037420734
276.44 secs, 4003 evals, 3877 steps, improv/step: 0.268 (last = 0.3750), fitness=0.037420734
276.96 secs, 4011 evals, 3885 steps, improv/step: 0.268 (last = 0.2500), fitness=0.037420733
277.51 secs, 4019 evals, 3893 steps, improv/step: 0.268 (last = 0.2500), fitness=0.037420733
278.03 secs, 4027 evals, 3901 steps, improv/step: 0.268 (last = 0.3750), fitness=0.037420732
278.56 secs, 4035 evals, 3909 steps, improv/step: 0.268 (last = 0.3750), fitness=0.037420732
279.09 secs, 4043 evals, 3917 steps, improv/step: 0.268 (last = 0.2500), fitness=0.037420732
279.64 secs, 4051 evals, 3925 steps, improv/step: 0.269 (last = 0.3750), fitness=0.037420732
280.16 secs, 4058 evals, 3932 steps, improv/step: 0.269 (last = 0.2857), fitness=0.037420732
280.68 secs, 4066 evals, 3940 steps, improv/step: 0.268 (last = 0.0000), fitness=0.037420732
281.20 secs, 4074 evals, 3948 steps, improv/step: 0.268 (last = 0.3750), fitness=0.037420732
281.73 secs, 4082 evals, 3956 steps, improv/step: 0.268 (last = 0.2500), fitness=0.037420723
282.25 secs, 4090 evals, 3964 steps, improv/step: 0.268 (last = 0.2500), fitness=0.037420723
282.77 secs, 4098 evals, 3972 steps, improv/step: 0.268 (last = 0.1250), fitness=0.037420723
283.30 secs, 4106 evals, 3980 steps, improv/step: 0.268 (last = 0.2500), fitness=0.037420723
283.81 secs, 4113 evals, 3987 steps, improv/step: 0.268 (last = 0.1429), fitness=0.037420723
284.36 secs, 4120 evals, 3994 steps, improv/step: 0.268 (last = 0.7143), fitness=0.037420723
284.88 secs, 4128 evals, 4002 steps, improv/step: 0.268 (last = 0.2500), fitness=0.037420723
285.42 secs, 4136 evals, 4010 steps, improv/step: 0.268 (last = 0.2500), fitness=0.037420723
285.94 secs, 4144 evals, 4018 steps, improv/step: 0.269 (last = 0.3750), fitness=0.037420723
286.47 secs, 4152 evals, 4026 steps, improv/step: 0.269 (last = 0.3750), fitness=0.037420723
287.00 secs, 4160 evals, 4034 steps, improv/step: 0.269 (last = 0.2500), fitness=0.037420723
287.52 secs, 4168 evals, 4042 steps, improv/step: 0.268 (last = 0.1250), fitness=0.037420723
288.07 secs, 4176 evals, 4050 steps, improv/step: 0.268 (last = 0.1250), fitness=0.037420723
288.60 secs, 4184 evals, 4058 steps, improv/step: 0.268 (last = 0.2500), fitness=0.037420723
289.12 secs, 4192 evals, 4066 steps, improv/step: 0.268 (last = 0.0000), fitness=0.037420723
289.66 secs, 4200 evals, 4074 steps, improv/step: 0.267 (last = 0.1250), fitness=0.037420723
290.19 secs, 4208 evals, 4082 steps, improv/step: 0.267 (last = 0.2500), fitness=0.037420723
290.71 secs, 4216 evals, 4090 steps, improv/step: 0.267 (last = 0.1250), fitness=0.037420723
291.23 secs, 4223 evals, 4097 steps, improv/step: 0.267 (last = 0.1429), fitness=0.037420723
291.76 secs, 4231 evals, 4105 steps, improv/step: 0.267 (last = 0.6250), fitness=0.037420723
292.31 secs, 4239 evals, 4113 steps, improv/step: 0.268 (last = 0.5000), fitness=0.037420723
292.85 secs, 4247 evals, 4121 steps, improv/step: 0.268 (last = 0.2500), fitness=0.037420723
293.38 secs, 4255 evals, 4129 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037420723
293.92 secs, 4263 evals, 4137 steps, improv/step: 0.267 (last = 0.1250), fitness=0.037420723
294.46 secs, 4271 evals, 4145 steps, improv/step: 0.267 (last = 0.3750), fitness=0.037420723
294.99 secs, 4279 evals, 4153 steps, improv/step: 0.267 (last = 0.1250), fitness=0.037420723
295.52 secs, 4287 evals, 4161 steps, improv/step: 0.267 (last = 0.5000), fitness=0.037420723
296.05 secs, 4295 evals, 4169 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037420723
296.58 secs, 4303 evals, 4177 steps, improv/step: 0.267 (last = 0.1250), fitness=0.037420723
297.12 secs, 4311 evals, 4185 steps, improv/step: 0.267 (last = 0.2500), fitness=0.037420723
297.64 secs, 4319 evals, 4193 steps, improv/step: 0.266 (last = 0.1250), fitness=0.037420723
298.15 secs, 4327 evals, 4201 steps, improv/step: 0.266 (last = 0.1250), fitness=0.037420723
298.66 secs, 4335 evals, 4209 steps, improv/step: 0.266 (last = 0.2500), fitness=0.037420723
299.18 secs, 4343 evals, 4217 steps, improv/step: 0.266 (last = 0.1250), fitness=0.037420723
299.69 secs, 4350 evals, 4224 steps, improv/step: 0.266 (last = 0.2857), fitness=0.037420723
300.23 secs, 4358 evals, 4232 steps, improv/step: 0.265 (last = 0.0000), fitness=0.037420723
300.78 secs, 4366 evals, 4240 steps, improv/step: 0.265 (last = 0.2500), fitness=0.037420723
301.30 secs, 4374 evals, 4248 steps, improv/step: 0.265 (last = 0.2500), fitness=0.037420723
301.82 secs, 4382 evals, 4256 steps, improv/step: 0.265 (last = 0.2500), fitness=0.037420723
302.35 secs, 4390 evals, 4264 steps, improv/step: 0.265 (last = 0.1250), fitness=0.037420723
302.89 secs, 4398 evals, 4272 steps, improv/step: 0.265 (last = 0.2500), fitness=0.037420723
303.42 secs, 4406 evals, 4280 steps, improv/step: 0.265 (last = 0.3750), fitness=0.037420723
303.95 secs, 4414 evals, 4288 steps, improv/step: 0.265 (last = 0.2500), fitness=0.037420723
304.48 secs, 4422 evals, 4296 steps, improv/step: 0.265 (last = 0.0000), fitness=0.037420723
305.01 secs, 4430 evals, 4304 steps, improv/step: 0.264 (last = 0.1250), fitness=0.037420723
305.54 secs, 4438 evals, 4312 steps, improv/step: 0.264 (last = 0.2500), fitness=0.037420723
306.07 secs, 4446 evals, 4320 steps, improv/step: 0.264 (last = 0.1250), fitness=0.037420723
306.61 secs, 4454 evals, 4328 steps, improv/step: 0.264 (last = 0.2500), fitness=0.037420723
307.14 secs, 4462 evals, 4336 steps, improv/step: 0.264 (last = 0.1250), fitness=0.037420723
307.67 secs, 4470 evals, 4344 steps, improv/step: 0.264 (last = 0.3750), fitness=0.037420723
308.20 secs, 4478 evals, 4352 steps, improv/step: 0.264 (last = 0.2500), fitness=0.037420723
308.72 secs, 4486 evals, 4360 steps, improv/step: 0.264 (last = 0.2500), fitness=0.037420723
309.24 secs, 4494 evals, 4368 steps, improv/step: 0.264 (last = 0.1250), fitness=0.037420723
309.76 secs, 4502 evals, 4376 steps, improv/step: 0.264 (last = 0.2500), fitness=0.037420723
310.28 secs, 4510 evals, 4384 steps, improv/step: 0.264 (last = 0.2500), fitness=0.037420723
310.81 secs, 4518 evals, 4392 steps, improv/step: 0.263 (last = 0.0000), fitness=0.037420723
311.37 secs, 4526 evals, 4400 steps, improv/step: 0.263 (last = 0.1250), fitness=0.037420723
311.89 secs, 4534 evals, 4408 steps, improv/step: 0.263 (last = 0.1250), fitness=0.037420722
312.44 secs, 4542 evals, 4416 steps, improv/step: 0.263 (last = 0.2500), fitness=0.037420722
312.98 secs, 4550 evals, 4424 steps, improv/step: 0.263 (last = 0.2500), fitness=0.037420722
313.51 secs, 4558 evals, 4432 steps, improv/step: 0.262 (last = 0.0000), fitness=0.037420722
314.04 secs, 4566 evals, 4440 steps, improv/step: 0.262 (last = 0.0000), fitness=0.037420722
314.58 secs, 4574 evals, 4448 steps, improv/step: 0.261 (last = 0.0000), fitness=0.037420722
315.11 secs, 4581 evals, 4455 steps, improv/step: 0.261 (last = 0.2857), fitness=0.037420722
315.66 secs, 4589 evals, 4463 steps, improv/step: 0.261 (last = 0.2500), fitness=0.037420722
316.21 secs, 4597 evals, 4471 steps, improv/step: 0.261 (last = 0.1250), fitness=0.037420722
316.76 secs, 4605 evals, 4479 steps, improv/step: 0.261 (last = 0.0000), fitness=0.037420722
317.30 secs, 4613 evals, 4487 steps, improv/step: 0.261 (last = 0.3750), fitness=0.037420722
317.83 secs, 4621 evals, 4495 steps, improv/step: 0.260 (last = 0.0000), fitness=0.037420722
318.37 secs, 4629 evals, 4503 steps, improv/step: 0.260 (last = 0.2500), fitness=0.037420722
318.92 secs, 4637 evals, 4511 steps, improv/step: 0.260 (last = 0.3750), fitness=0.037420722
319.46 secs, 4645 evals, 4519 steps, improv/step: 0.260 (last = 0.2500), fitness=0.037420722
319.99 secs, 4653 evals, 4527 steps, improv/step: 0.260 (last = 0.1250), fitness=0.037420722
320.53 secs, 4661 evals, 4535 steps, improv/step: 0.260 (last = 0.0000), fitness=0.037420722
321.06 secs, 4669 evals, 4543 steps, improv/step: 0.260 (last = 0.3750), fitness=0.037420722
321.60 secs, 4677 evals, 4551 steps, improv/step: 0.260 (last = 0.0000), fitness=0.037420722
322.14 secs, 4685 evals, 4559 steps, improv/step: 0.259 (last = 0.0000), fitness=0.037420722
322.67 secs, 4693 evals, 4567 steps, improv/step: 0.259 (last = 0.2500), fitness=0.037420722
323.22 secs, 4701 evals, 4575 steps, improv/step: 0.259 (last = 0.1250), fitness=0.037420722
323.75 secs, 4709 evals, 4583 steps, improv/step: 0.259 (last = 0.2500), fitness=0.037420722
324.29 secs, 4717 evals, 4591 steps, improv/step: 0.258 (last = 0.0000), fitness=0.037420722
324.84 secs, 4725 evals, 4599 steps, improv/step: 0.259 (last = 0.3750), fitness=0.037420722
325.38 secs, 4733 evals, 4607 steps, improv/step: 0.258 (last = 0.0000), fitness=0.037420722
325.94 secs, 4741 evals, 4615 steps, improv/step: 0.258 (last = 0.2500), fitness=0.037420722
326.49 secs, 4749 evals, 4623 steps, improv/step: 0.258 (last = 0.1250), fitness=0.037420722
327.02 secs, 4757 evals, 4631 steps, improv/step: 0.257 (last = 0.0000), fitness=0.037420722
327.56 secs, 4765 evals, 4639 steps, improv/step: 0.257 (last = 0.0000), fitness=0.037420722
328.11 secs, 4773 evals, 4647 steps, improv/step: 0.257 (last = 0.0000), fitness=0.037420722
328.64 secs, 4781 evals, 4655 steps, improv/step: 0.256 (last = 0.1250), fitness=0.037420722
329.18 secs, 4789 evals, 4663 steps, improv/step: 0.256 (last = 0.0000), fitness=0.037420722
329.73 secs, 4797 evals, 4671 steps, improv/step: 0.255 (last = 0.0000), fitness=0.037420722
330.28 secs, 4805 evals, 4679 steps, improv/step: 0.256 (last = 0.3750), fitness=0.037420722
330.80 secs, 4812 evals, 4686 steps, improv/step: 0.255 (last = 0.0000), fitness=0.037420722
331.33 secs, 4820 evals, 4694 steps, improv/step: 0.255 (last = 0.1250), fitness=0.037420722
331.87 secs, 4828 evals, 4702 steps, improv/step: 0.255 (last = 0.3750), fitness=0.037420722
332.39 secs, 4836 evals, 4710 steps, improv/step: 0.255 (last = 0.3750), fitness=0.037420722
332.93 secs, 4844 evals, 4718 steps, improv/step: 0.256 (last = 0.3750), fitness=0.037420722
333.46 secs, 4852 evals, 4726 steps, improv/step: 0.255 (last = 0.0000), fitness=0.037420722
334.00 secs, 4860 evals, 4734 steps, improv/step: 0.255 (last = 0.0000), fitness=0.037420722
334.54 secs, 4868 evals, 4742 steps, improv/step: 0.254 (last = 0.0000), fitness=0.037420722
335.07 secs, 4876 evals, 4750 steps, improv/step: 0.254 (last = 0.2500), fitness=0.037420722
335.61 secs, 4884 evals, 4758 steps, improv/step: 0.254 (last = 0.2500), fitness=0.037420722
336.14 secs, 4892 evals, 4766 steps, improv/step: 0.254 (last = 0.0000), fitness=0.037420722
336.68 secs, 4900 evals, 4774 steps, improv/step: 0.254 (last = 0.1250), fitness=0.037420722
337.24 secs, 4908 evals, 4782 steps, improv/step: 0.253 (last = 0.0000), fitness=0.037420722
337.77 secs, 4916 evals, 4790 steps, improv/step: 0.253 (last = 0.1250), fitness=0.037420722
338.31 secs, 4924 evals, 4798 steps, improv/step: 0.253 (last = 0.1250), fitness=0.037420722
338.84 secs, 4932 evals, 4806 steps, improv/step: 0.252 (last = 0.0000), fitness=0.037420722
339.37 secs, 4940 evals, 4814 steps, improv/step: 0.252 (last = 0.1250), fitness=0.037420722
339.91 secs, 4948 evals, 4822 steps, improv/step: 0.252 (last = 0.1250), fitness=0.037420722
340.42 secs, 4955 evals, 4829 steps, improv/step: 0.252 (last = 0.1429), fitness=0.037420722
340.93 secs, 4963 evals, 4837 steps, improv/step: 0.252 (last = 0.3750), fitness=0.037420722
341.45 secs, 4971 evals, 4845 steps, improv/step: 0.252 (last = 0.0000), fitness=0.037420722
341.98 secs, 4979 evals, 4853 steps, improv/step: 0.252 (last = 0.2500), fitness=0.037420722
342.52 secs, 4987 evals, 4861 steps, improv/step: 0.251 (last = 0.1250), fitness=0.037420722
343.06 secs, 4995 evals, 4869 steps, improv/step: 0.251 (last = 0.0000), fitness=0.037420722
343.61 secs, 5003 evals, 4877 steps, improv/step: 0.251 (last = 0.0000), fitness=0.037420722
344.13 secs, 5011 evals, 4885 steps, improv/step: 0.250 (last = 0.1250), fitness=0.037420722
344.66 secs, 5019 evals, 4893 steps, improv/step: 0.250 (last = 0.2500), fitness=0.037420722
345.18 secs, 5027 evals, 4901 steps, improv/step: 0.250 (last = 0.0000), fitness=0.037420722
345.76 secs, 5035 evals, 4909 steps, improv/step: 0.250 (last = 0.2500), fitness=0.037420722
346.26 secs, 5042 evals, 4916 steps, improv/step: 0.250 (last = 0.1429), fitness=0.037420722
346.81 secs, 5050 evals, 4924 steps, improv/step: 0.249 (last = 0.0000), fitness=0.037420722
347.36 secs, 5058 evals, 4932 steps, improv/step: 0.249 (last = 0.0000), fitness=0.037420722
347.90 secs, 5066 evals, 4940 steps, improv/step: 0.249 (last = 0.1250), fitness=0.037420722
348.42 secs, 5074 evals, 4948 steps, improv/step: 0.248 (last = 0.0000), fitness=0.037420722
348.94 secs, 5082 evals, 4956 steps, improv/step: 0.248 (last = 0.2500), fitness=0.037420722
349.47 secs, 5090 evals, 4964 steps, improv/step: 0.248 (last = 0.1250), fitness=0.037420722
349.99 secs, 5098 evals, 4972 steps, improv/step: 0.248 (last = 0.1250), fitness=0.037420722
350.51 secs, 5106 evals, 4980 steps, improv/step: 0.248 (last = 0.0000), fitness=0.037420722
351.03 secs, 5114 evals, 4988 steps, improv/step: 0.248 (last = 0.2500), fitness=0.037420722
351.55 secs, 5122 evals, 4996 steps, improv/step: 0.247 (last = 0.0000), fitness=0.037420722
352.08 secs, 5130 evals, 5004 steps, improv/step: 0.247 (last = 0.1250), fitness=0.037420722
352.63 secs, 5138 evals, 5012 steps, improv/step: 0.247 (last = 0.1250), fitness=0.037420721
353.15 secs, 5146 evals, 5020 steps, improv/step: 0.246 (last = 0.0000), fitness=0.037420721
353.68 secs, 5154 evals, 5028 steps, improv/step: 0.247 (last = 0.3750), fitness=0.037420721
354.21 secs, 5162 evals, 5036 steps, improv/step: 0.247 (last = 0.2500), fitness=0.037420721
354.73 secs, 5170 evals, 5044 steps, improv/step: 0.246 (last = 0.0000), fitness=0.037420721
355.25 secs, 5178 evals, 5052 steps, improv/step: 0.246 (last = 0.3750), fitness=0.037420721
355.79 secs, 5186 evals, 5060 steps, improv/step: 0.246 (last = 0.1250), fitness=0.037420721
356.31 secs, 5194 evals, 5068 steps, improv/step: 0.246 (last = 0.1250), fitness=0.037420721
356.83 secs, 5202 evals, 5076 steps, improv/step: 0.246 (last = 0.0000), fitness=0.037420721
357.36 secs, 5210 evals, 5084 steps, improv/step: 0.245 (last = 0.0000), fitness=0.037420721
357.88 secs, 5218 evals, 5092 steps, improv/step: 0.245 (last = 0.0000), fitness=0.037420721
358.41 secs, 5226 evals, 5100 steps, improv/step: 0.245 (last = 0.1250), fitness=0.037420718
358.93 secs, 5234 evals, 5108 steps, improv/step: 0.245 (last = 0.1250), fitness=0.037420718
359.45 secs, 5242 evals, 5116 steps, improv/step: 0.244 (last = 0.1250), fitness=0.037420718
359.99 secs, 5250 evals, 5124 steps, improv/step: 0.244 (last = 0.0000), fitness=0.037420718
360.51 secs, 5258 evals, 5132 steps, improv/step: 0.244 (last = 0.0000), fitness=0.037420718
361.06 secs, 5266 evals, 5140 steps, improv/step: 0.243 (last = 0.0000), fitness=0.037420718
361.57 secs, 5273 evals, 5147 steps, improv/step: 0.243 (last = 0.2857), fitness=0.037420718
362.09 secs, 5281 evals, 5155 steps, improv/step: 0.243 (last = 0.0000), fitness=0.037420718
362.61 secs, 5289 evals, 5163 steps, improv/step: 0.243 (last = 0.1250), fitness=0.037420718
363.13 secs, 5297 evals, 5171 steps, improv/step: 0.243 (last = 0.1250), fitness=0.037420718
363.65 secs, 5305 evals, 5179 steps, improv/step: 0.242 (last = 0.0000), fitness=0.037420718
364.17 secs, 5313 evals, 5187 steps, improv/step: 0.242 (last = 0.1250), fitness=0.037420718
364.69 secs, 5321 evals, 5195 steps, improv/step: 0.242 (last = 0.1250), fitness=0.037420718
365.21 secs, 5329 evals, 5203 steps, improv/step: 0.242 (last = 0.1250), fitness=0.037420718
365.72 secs, 5337 evals, 5211 steps, improv/step: 0.241 (last = 0.1250), fitness=0.037420718
366.24 secs, 5345 evals, 5219 steps, improv/step: 0.241 (last = 0.0000), fitness=0.037420718
366.75 secs, 5353 evals, 5227 steps, improv/step: 0.241 (last = 0.2500), fitness=0.037420718
367.27 secs, 5361 evals, 5235 steps, improv/step: 0.241 (last = 0.1250), fitness=0.037420718
367.79 secs, 5369 evals, 5243 steps, improv/step: 0.241 (last = 0.2500), fitness=0.037420718
368.30 secs, 5377 evals, 5251 steps, improv/step: 0.241 (last = 0.1250), fitness=0.037420718
368.81 secs, 5385 evals, 5259 steps, improv/step: 0.241 (last = 0.1250), fitness=0.037420718
369.34 secs, 5393 evals, 5267 steps, improv/step: 0.240 (last = 0.0000), fitness=0.037420718
369.85 secs, 5401 evals, 5275 steps, improv/step: 0.240 (last = 0.0000), fitness=0.037420718
370.37 secs, 5409 evals, 5283 steps, improv/step: 0.239 (last = 0.0000), fitness=0.037420718
370.89 secs, 5417 evals, 5291 steps, improv/step: 0.239 (last = 0.1250), fitness=0.037420718
371.41 secs, 5425 evals, 5299 steps, improv/step: 0.239 (last = 0.1250), fitness=0.037420718
371.93 secs, 5433 evals, 5307 steps, improv/step: 0.239 (last = 0.0000), fitness=0.037420718
372.44 secs, 5441 evals, 5315 steps, improv/step: 0.238 (last = 0.0000), fitness=0.037420718
372.95 secs, 5449 evals, 5323 steps, improv/step: 0.238 (last = 0.1250), fitness=0.037420718
373.46 secs, 5457 evals, 5331 steps, improv/step: 0.238 (last = 0.3750), fitness=0.037420718
373.98 secs, 5465 evals, 5339 steps, improv/step: 0.238 (last = 0.2500), fitness=0.037420718
374.50 secs, 5473 evals, 5347 steps, improv/step: 0.238 (last = 0.1250), fitness=0.037420718
375.03 secs, 5481 evals, 5355 steps, improv/step: 0.238 (last = 0.1250), fitness=0.037420718
375.55 secs, 5489 evals, 5363 steps, improv/step: 0.238 (last = 0.0000), fitness=0.037420718
376.07 secs, 5497 evals, 5371 steps, improv/step: 0.237 (last = 0.0000), fitness=0.037420718
376.59 secs, 5504 evals, 5378 steps, improv/step: 0.237 (last = 0.0000), fitness=0.037420718
377.13 secs, 5512 evals, 5386 steps, improv/step: 0.237 (last = 0.1250), fitness=0.037420718
377.66 secs, 5520 evals, 5394 steps, improv/step: 0.237 (last = 0.0000), fitness=0.037420718
378.22 secs, 5528 evals, 5402 steps, improv/step: 0.236 (last = 0.0000), fitness=0.037420718
378.74 secs, 5536 evals, 5410 steps, improv/step: 0.236 (last = 0.1250), fitness=0.037420718
379.26 secs, 5544 evals, 5418 steps, improv/step: 0.236 (last = 0.1250), fitness=0.037420718
379.79 secs, 5552 evals, 5426 steps, improv/step: 0.236 (last = 0.1250), fitness=0.037420718
380.31 secs, 5560 evals, 5434 steps, improv/step: 0.235 (last = 0.0000), fitness=0.037420718
380.84 secs, 5568 evals, 5442 steps, improv/step: 0.235 (last = 0.0000), fitness=0.037420718
381.36 secs, 5576 evals, 5450 steps, improv/step: 0.235 (last = 0.0000), fitness=0.037420718
381.88 secs, 5584 evals, 5458 steps, improv/step: 0.234 (last = 0.0000), fitness=0.037420718
382.40 secs, 5592 evals, 5466 steps, improv/step: 0.234 (last = 0.1250), fitness=0.037420718
382.93 secs, 5600 evals, 5474 steps, improv/step: 0.234 (last = 0.1250), fitness=0.037420718
383.45 secs, 5608 evals, 5482 steps, improv/step: 0.234 (last = 0.0000), fitness=0.037420718
384.00 secs, 5616 evals, 5490 steps, improv/step: 0.234 (last = 0.1250), fitness=0.037420718
384.52 secs, 5624 evals, 5498 steps, improv/step: 0.233 (last = 0.1250), fitness=0.037420718
385.05 secs, 5632 evals, 5506 steps, improv/step: 0.233 (last = 0.1250), fitness=0.037420718
385.58 secs, 5640 evals, 5514 steps, improv/step: 0.233 (last = 0.0000), fitness=0.037420718
386.10 secs, 5648 evals, 5522 steps, improv/step: 0.233 (last = 0.0000), fitness=0.037420718
386.61 secs, 5656 evals, 5530 steps, improv/step: 0.232 (last = 0.0000), fitness=0.037420718
387.13 secs, 5664 evals, 5538 steps, improv/step: 0.232 (last = 0.2500), fitness=0.037420718
387.64 secs, 5672 evals, 5546 steps, improv/step: 0.232 (last = 0.0000), fitness=0.037420718
388.16 secs, 5680 evals, 5554 steps, improv/step: 0.232 (last = 0.0000), fitness=0.037420718
388.68 secs, 5688 evals, 5562 steps, improv/step: 0.231 (last = 0.1250), fitness=0.037420718
389.20 secs, 5696 evals, 5570 steps, improv/step: 0.231 (last = 0.0000), fitness=0.037420718
389.72 secs, 5704 evals, 5578 steps, improv/step: 0.231 (last = 0.0000), fitness=0.037420718
390.24 secs, 5712 evals, 5586 steps, improv/step: 0.231 (last = 0.1250), fitness=0.037420718
390.78 secs, 5720 evals, 5594 steps, improv/step: 0.230 (last = 0.0000), fitness=0.037420718
391.31 secs, 5728 evals, 5602 steps, improv/step: 0.230 (last = 0.1250), fitness=0.037420718
391.86 secs, 5736 evals, 5610 steps, improv/step: 0.230 (last = 0.1250), fitness=0.037420718
392.43 secs, 5744 evals, 5618 steps, improv/step: 0.230 (last = 0.1250), fitness=0.037420718
392.95 secs, 5752 evals, 5626 steps, improv/step: 0.230 (last = 0.1250), fitness=0.037420718
393.48 secs, 5760 evals, 5634 steps, improv/step: 0.230 (last = 0.2500), fitness=0.037420718
394.00 secs, 5768 evals, 5642 steps, improv/step: 0.230 (last = 0.1250), fitness=0.037420718
394.53 secs, 5776 evals, 5650 steps, improv/step: 0.229 (last = 0.0000), fitness=0.037420718
395.06 secs, 5784 evals, 5658 steps, improv/step: 0.229 (last = 0.0000), fitness=0.037420718
395.58 secs, 5792 evals, 5666 steps, improv/step: 0.229 (last = 0.1250), fitness=0.037420718
396.11 secs, 5800 evals, 5674 steps, improv/step: 0.228 (last = 0.0000), fitness=0.037420718
396.64 secs, 5808 evals, 5682 steps, improv/step: 0.228 (last = 0.0000), fitness=0.037420718
397.16 secs, 5816 evals, 5690 steps, improv/step: 0.228 (last = 0.0000), fitness=0.037420718
397.70 secs, 5824 evals, 5698 steps, improv/step: 0.228 (last = 0.1250), fitness=0.037420718
398.22 secs, 5832 evals, 5706 steps, improv/step: 0.227 (last = 0.0000), fitness=0.037420718
398.75 secs, 5840 evals, 5714 steps, improv/step: 0.227 (last = 0.0000), fitness=0.037420718
399.29 secs, 5848 evals, 5722 steps, improv/step: 0.227 (last = 0.2500), fitness=0.037420718
399.81 secs, 5856 evals, 5730 steps, improv/step: 0.227 (last = 0.0000), fitness=0.037420718
400.34 secs, 5864 evals, 5738 steps, improv/step: 0.226 (last = 0.0000), fitness=0.037420718
400.88 secs, 5872 evals, 5746 steps, improv/step: 0.226 (last = 0.1250), fitness=0.037420718
401.40 secs, 5880 evals, 5754 steps, improv/step: 0.226 (last = 0.0000), fitness=0.037420718
401.94 secs, 5888 evals, 5762 steps, improv/step: 0.226 (last = 0.0000), fitness=0.037420718
402.46 secs, 5896 evals, 5770 steps, improv/step: 0.225 (last = 0.0000), fitness=0.037420718
402.98 secs, 5904 evals, 5778 steps, improv/step: 0.225 (last = 0.0000), fitness=0.037420718
403.52 secs, 5912 evals, 5786 steps, improv/step: 0.225 (last = 0.0000), fitness=0.037420718
404.05 secs, 5920 evals, 5794 steps, improv/step: 0.224 (last = 0.0000), fitness=0.037420718
404.59 secs, 5928 evals, 5802 steps, improv/step: 0.224 (last = 0.1250), fitness=0.037420718
405.12 secs, 5936 evals, 5810 steps, improv/step: 0.224 (last = 0.0000), fitness=0.037420718
405.65 secs, 5944 evals, 5818 steps, improv/step: 0.224 (last = 0.0000), fitness=0.037420718
406.19 secs, 5952 evals, 5826 steps, improv/step: 0.223 (last = 0.0000), fitness=0.037420718
406.73 secs, 5960 evals, 5834 steps, improv/step: 0.223 (last = 0.0000), fitness=0.037420718
407.31 secs, 5968 evals, 5842 steps, improv/step: 0.223 (last = 0.0000), fitness=0.037420718
407.87 secs, 5976 evals, 5850 steps, improv/step: 0.223 (last = 0.1250), fitness=0.037420718
408.41 secs, 5984 evals, 5858 steps, improv/step: 0.222 (last = 0.0000), fitness=0.037420718
408.94 secs, 5992 evals, 5866 steps, improv/step: 0.222 (last = 0.1250), fitness=0.037420718
409.47 secs, 6000 evals, 5874 steps, improv/step: 0.222 (last = 0.0000), fitness=0.037420718
410.02 secs, 6008 evals, 5882 steps, improv/step: 0.222 (last = 0.0000), fitness=0.037420718
410.55 secs, 6016 evals, 5890 steps, improv/step: 0.221 (last = 0.0000), fitness=0.037420718
411.07 secs, 6024 evals, 5898 steps, improv/step: 0.221 (last = 0.1250), fitness=0.037420718
411.61 secs, 6032 evals, 5906 steps, improv/step: 0.221 (last = 0.0000), fitness=0.037420718
412.14 secs, 6040 evals, 5914 steps, improv/step: 0.220 (last = 0.0000), fitness=0.037420718
412.69 secs, 6048 evals, 5922 steps, improv/step: 0.220 (last = 0.0000), fitness=0.037420718
413.22 secs, 6056 evals, 5930 steps, improv/step: 0.220 (last = 0.0000), fitness=0.037420718
413.74 secs, 6064 evals, 5938 steps, improv/step: 0.220 (last = 0.1250), fitness=0.037420718
414.28 secs, 6072 evals, 5946 steps, improv/step: 0.219 (last = 0.0000), fitness=0.037420718
414.80 secs, 6080 evals, 5954 steps, improv/step: 0.219 (last = 0.1250), fitness=0.037420718
415.33 secs, 6088 evals, 5962 steps, improv/step: 0.219 (last = 0.0000), fitness=0.037420718
415.88 secs, 6096 evals, 5970 steps, improv/step: 0.219 (last = 0.1250), fitness=0.037420718
416.43 secs, 6104 evals, 5978 steps, improv/step: 0.219 (last = 0.0000), fitness=0.037420718
416.96 secs, 6112 evals, 5986 steps, improv/step: 0.218 (last = 0.0000), fitness=0.037420718
417.48 secs, 6120 evals, 5994 steps, improv/step: 0.218 (last = 0.0000), fitness=0.037420718
418.00 secs, 6128 evals, 6002 steps, improv/step: 0.218 (last = 0.1250), fitness=0.037420718
418.53 secs, 6136 evals, 6010 steps, improv/step: 0.218 (last = 0.0000), fitness=0.037420718
419.06 secs, 6144 evals, 6018 steps, improv/step: 0.218 (last = 0.2500), fitness=0.037420718
419.58 secs, 6152 evals, 6026 steps, improv/step: 0.217 (last = 0.0000), fitness=0.037420718
420.10 secs, 6160 evals, 6034 steps, improv/step: 0.217 (last = 0.0000), fitness=0.037420718
420.65 secs, 6168 evals, 6042 steps, improv/step: 0.217 (last = 0.0000), fitness=0.037420718
421.18 secs, 6176 evals, 6050 steps, improv/step: 0.217 (last = 0.0000), fitness=0.037420718
421.74 secs, 6184 evals, 6058 steps, improv/step: 0.216 (last = 0.1250), fitness=0.037420718
422.27 secs, 6192 evals, 6066 steps, improv/step: 0.216 (last = 0.0000), fitness=0.037420718
422.80 secs, 6199 evals, 6073 steps, improv/step: 0.216 (last = 0.0000), fitness=0.037420718
423.34 secs, 6207 evals, 6081 steps, improv/step: 0.216 (last = 0.0000), fitness=0.037420718
423.86 secs, 6215 evals, 6089 steps, improv/step: 0.215 (last = 0.1250), fitness=0.037420718
424.38 secs, 6223 evals, 6097 steps, improv/step: 0.215 (last = 0.0000), fitness=0.037420718
424.91 secs, 6231 evals, 6105 steps, improv/step: 0.215 (last = 0.0000), fitness=0.037420718
425.42 secs, 6239 evals, 6113 steps, improv/step: 0.215 (last = 0.0000), fitness=0.037420718
425.95 secs, 6247 evals, 6121 steps, improv/step: 0.214 (last = 0.0000), fitness=0.037420718
426.47 secs, 6255 evals, 6129 steps, improv/step: 0.214 (last = 0.0000), fitness=0.037420718
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427.49 secs, 6271 evals, 6145 steps, improv/step: 0.214 (last = 0.0000), fitness=0.037420718
428.02 secs, 6279 evals, 6153 steps, improv/step: 0.213 (last = 0.0000), fitness=0.037420718
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429.04 secs, 6295 evals, 6169 steps, improv/step: 0.213 (last = 0.1250), fitness=0.037420718
429.56 secs, 6303 evals, 6177 steps, improv/step: 0.213 (last = 0.0000), fitness=0.037420718
430.06 secs, 6311 evals, 6185 steps, improv/step: 0.212 (last = 0.0000), fitness=0.037420718
430.57 secs, 6319 evals, 6193 steps, improv/step: 0.212 (last = 0.2500), fitness=0.037420718
431.08 secs, 6327 evals, 6201 steps, improv/step: 0.212 (last = 0.1250), fitness=0.037420718
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432.10 secs, 6343 evals, 6217 steps, improv/step: 0.212 (last = 0.1250), fitness=0.037420718
432.62 secs, 6351 evals, 6225 steps, improv/step: 0.212 (last = 0.1250), fitness=0.037420718
433.13 secs, 6359 evals, 6233 steps, improv/step: 0.212 (last = 0.1250), fitness=0.037420718
433.65 secs, 6367 evals, 6241 steps, improv/step: 0.211 (last = 0.0000), fitness=0.037420718
434.15 secs, 6375 evals, 6249 steps, improv/step: 0.211 (last = 0.0000), fitness=0.037420718
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435.18 secs, 6391 evals, 6265 steps, improv/step: 0.211 (last = 0.1250), fitness=0.037420718
435.70 secs, 6399 evals, 6273 steps, improv/step: 0.210 (last = 0.0000), fitness=0.037420718
436.21 secs, 6407 evals, 6281 steps, improv/step: 0.210 (last = 0.0000), fitness=0.037420718
436.73 secs, 6415 evals, 6289 steps, improv/step: 0.210 (last = 0.0000), fitness=0.037420718
437.24 secs, 6423 evals, 6297 steps, improv/step: 0.210 (last = 0.0000), fitness=0.037420718
437.74 secs, 6431 evals, 6305 steps, improv/step: 0.210 (last = 0.1250), fitness=0.037420718
438.26 secs, 6438 evals, 6312 steps, improv/step: 0.209 (last = 0.0000), fitness=0.037420718
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439.27 secs, 6454 evals, 6328 steps, improv/step: 0.209 (last = 0.0000), fitness=0.037420718
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440.30 secs, 6470 evals, 6344 steps, improv/step: 0.208 (last = 0.1250), fitness=0.037420718
440.80 secs, 6478 evals, 6352 steps, improv/step: 0.208 (last = 0.0000), fitness=0.037420718
441.31 secs, 6486 evals, 6360 steps, improv/step: 0.208 (last = 0.0000), fitness=0.037420718
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442.33 secs, 6502 evals, 6376 steps, improv/step: 0.207 (last = 0.0000), fitness=0.037420718
442.84 secs, 6510 evals, 6384 steps, improv/step: 0.207 (last = 0.0000), fitness=0.037420718
443.34 secs, 6518 evals, 6392 steps, improv/step: 0.207 (last = 0.2500), fitness=0.037420718
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444.34 secs, 6534 evals, 6408 steps, improv/step: 0.207 (last = 0.1250), fitness=0.037420718
444.91 secs, 6543 evals, 6417 steps, improv/step: 0.206 (last = 0.0000), fitness=0.037420718
445.41 secs, 6551 evals, 6425 steps, improv/step: 0.206 (last = 0.0000), fitness=0.037420718
445.96 secs, 6560 evals, 6434 steps, improv/step: 0.206 (last = 0.1111), fitness=0.037420718
446.52 secs, 6569 evals, 6443 steps, improv/step: 0.206 (last = 0.1111), fitness=0.037420718
447.02 secs, 6577 evals, 6451 steps, improv/step: 0.206 (last = 0.0000), fitness=0.037420718
447.58 secs, 6586 evals, 6460 steps, improv/step: 0.205 (last = 0.0000), fitness=0.037420718
448.15 secs, 6595 evals, 6469 steps, improv/step: 0.205 (last = 0.1111), fitness=0.037420718
448.71 secs, 6604 evals, 6478 steps, improv/step: 0.205 (last = 0.1111), fitness=0.037420718
449.27 secs, 6613 evals, 6487 steps, improv/step: 0.205 (last = 0.0000), fitness=0.037420718
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450.29 secs, 6629 evals, 6503 steps, improv/step: 0.205 (last = 0.1250), fitness=0.037420718
450.80 secs, 6637 evals, 6511 steps, improv/step: 0.204 (last = 0.0000), fitness=0.037420718
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453.47 secs, 6679 evals, 6553 steps, improv/step: 0.203 (last = 0.0000), fitness=0.037420718
454.01 secs, 6687 evals, 6561 steps, improv/step: 0.203 (last = 0.1250), fitness=0.037420718
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455.07 secs, 6704 evals, 6578 steps, improv/step: 0.203 (last = 0.0000), fitness=0.037420718
455.58 secs, 6712 evals, 6586 steps, improv/step: 0.203 (last = 0.0000), fitness=0.037420718
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457.12 secs, 6736 evals, 6610 steps, improv/step: 0.202 (last = 0.0000), fitness=0.037420718
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458.14 secs, 6752 evals, 6626 steps, improv/step: 0.201 (last = 0.0000), fitness=0.037420718
458.65 secs, 6760 evals, 6634 steps, improv/step: 0.201 (last = 0.0000), fitness=0.037420718
459.16 secs, 6768 evals, 6642 steps, improv/step: 0.201 (last = 0.0000), fitness=0.037420718
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460.18 secs, 6784 evals, 6658 steps, improv/step: 0.201 (last = 0.0000), fitness=0.037420718
460.73 secs, 6793 evals, 6667 steps, improv/step: 0.200 (last = 0.0000), fitness=0.037420718
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462.26 secs, 6817 evals, 6691 steps, improv/step: 0.200 (last = 0.1250), fitness=0.037420718
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463.28 secs, 6833 evals, 6707 steps, improv/step: 0.200 (last = 0.1250), fitness=0.037420718
463.79 secs, 6841 evals, 6715 steps, improv/step: 0.200 (last = 0.0000), fitness=0.037420718
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465.37 secs, 6866 evals, 6740 steps, improv/step: 0.199 (last = 0.0000), fitness=0.037420718
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466.88 secs, 6890 evals, 6764 steps, improv/step: 0.198 (last = 0.0000), fitness=0.037420718
467.39 secs, 6898 evals, 6772 steps, improv/step: 0.198 (last = 0.0000), fitness=0.037420718
467.90 secs, 6906 evals, 6780 steps, improv/step: 0.198 (last = 0.0000), fitness=0.037420718
468.41 secs, 6914 evals, 6788 steps, improv/step: 0.198 (last = 0.0000), fitness=0.037420718
468.92 secs, 6921 evals, 6795 steps, improv/step: 0.197 (last = 0.1429), fitness=0.037420718
469.44 secs, 6929 evals, 6803 steps, improv/step: 0.197 (last = 0.1250), fitness=0.037420718
470.00 secs, 6938 evals, 6812 steps, improv/step: 0.197 (last = 0.0000), fitness=0.037420718
470.55 secs, 6947 evals, 6821 steps, improv/step: 0.197 (last = 0.1111), fitness=0.037420718
471.10 secs, 6956 evals, 6830 steps, improv/step: 0.197 (last = 0.0000), fitness=0.037420718
471.60 secs, 6964 evals, 6838 steps, improv/step: 0.197 (last = 0.0000), fitness=0.037420718
472.11 secs, 6972 evals, 6846 steps, improv/step: 0.196 (last = 0.0000), fitness=0.037420718
472.67 secs, 6981 evals, 6855 steps, improv/step: 0.196 (last = 0.2222), fitness=0.037420718
473.18 secs, 6989 evals, 6863 steps, improv/step: 0.196 (last = 0.1250), fitness=0.037420718
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475.30 secs, 7023 evals, 6897 steps, improv/step: 0.195 (last = 0.1111), fitness=0.037420718
475.86 secs, 7032 evals, 6906 steps, improv/step: 0.195 (last = 0.1111), fitness=0.037420718
476.42 secs, 7041 evals, 6915 steps, improv/step: 0.195 (last = 0.0000), fitness=0.037420718
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478.08 secs, 7068 evals, 6942 steps, improv/step: 0.195 (last = 0.1111), fitness=0.037420718
478.63 secs, 7077 evals, 6951 steps, improv/step: 0.195 (last = 0.1111), fitness=0.037420718
479.18 secs, 7086 evals, 6960 steps, improv/step: 0.194 (last = 0.1111), fitness=0.037420718
479.72 secs, 7095 evals, 6969 steps, improv/step: 0.194 (last = 0.0000), fitness=0.037420718
480.27 secs, 7104 evals, 6978 steps, improv/step: 0.194 (last = 0.0000), fitness=0.037420718
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481.37 secs, 7122 evals, 6996 steps, improv/step: 0.194 (last = 0.1111), fitness=0.037420718
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483.52 secs, 7157 evals, 7031 steps, improv/step: 0.193 (last = 0.0000), fitness=0.037420718
484.09 secs, 7166 evals, 7040 steps, improv/step: 0.192 (last = 0.0000), fitness=0.037420718
484.63 secs, 7174 evals, 7048 steps, improv/step: 0.192 (last = 0.0000), fitness=0.037420718
485.18 secs, 7183 evals, 7057 steps, improv/step: 0.192 (last = 0.0000), fitness=0.037420718
485.68 secs, 7191 evals, 7065 steps, improv/step: 0.192 (last = 0.0000), fitness=0.037420718
486.23 secs, 7200 evals, 7074 steps, improv/step: 0.191 (last = 0.0000), fitness=0.037420718
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487.34 secs, 7218 evals, 7092 steps, improv/step: 0.191 (last = 0.0000), fitness=0.037420718
487.89 secs, 7227 evals, 7101 steps, improv/step: 0.191 (last = 0.1111), fitness=0.037420718
488.40 secs, 7235 evals, 7109 steps, improv/step: 0.191 (last = 0.1250), fitness=0.037420718
488.95 secs, 7244 evals, 7118 steps, improv/step: 0.191 (last = 0.0000), fitness=0.037420718
489.51 secs, 7253 evals, 7127 steps, improv/step: 0.190 (last = 0.0000), fitness=0.037420718
490.02 secs, 7261 evals, 7135 steps, improv/step: 0.190 (last = 0.0000), fitness=0.037420718
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491.08 secs, 7278 evals, 7152 steps, improv/step: 0.190 (last = 0.0000), fitness=0.037420718
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492.09 secs, 7294 evals, 7168 steps, improv/step: 0.189 (last = 0.1250), fitness=0.037420718
492.60 secs, 7302 evals, 7176 steps, improv/step: 0.189 (last = 0.0000), fitness=0.037420718
493.11 secs, 7310 evals, 7184 steps, improv/step: 0.189 (last = 0.1250), fitness=0.037420718
493.66 secs, 7319 evals, 7193 steps, improv/step: 0.189 (last = 0.0000), fitness=0.037420718
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495.34 secs, 7346 evals, 7220 steps, improv/step: 0.188 (last = 0.1111), fitness=0.037420718
495.90 secs, 7355 evals, 7229 steps, improv/step: 0.188 (last = 0.1111), fitness=0.037420718
496.46 secs, 7364 evals, 7238 steps, improv/step: 0.188 (last = 0.0000), fitness=0.037420718
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497.54 secs, 7380 evals, 7254 steps, improv/step: 0.188 (last = 0.0000), fitness=0.037420718
498.09 secs, 7389 evals, 7263 steps, improv/step: 0.187 (last = 0.0000), fitness=0.037420718
498.60 secs, 7397 evals, 7271 steps, improv/step: 0.187 (last = 0.1250), fitness=0.037420718
499.16 secs, 7406 evals, 7280 steps, improv/step: 0.187 (last = 0.0000), fitness=0.037420718
499.73 secs, 7414 evals, 7288 steps, improv/step: 0.187 (last = 0.0000), fitness=0.037420718
500.23 secs, 7422 evals, 7296 steps, improv/step: 0.187 (last = 0.0000), fitness=0.037420718
500.74 secs, 7430 evals, 7304 steps, improv/step: 0.186 (last = 0.0000), fitness=0.037420718
501.30 secs, 7439 evals, 7313 steps, improv/step: 0.186 (last = 0.1111), fitness=0.037420718
501.86 secs, 7448 evals, 7322 steps, improv/step: 0.186 (last = 0.0000), fitness=0.037420718
502.37 secs, 7456 evals, 7330 steps, improv/step: 0.186 (last = 0.0000), fitness=0.037420718
502.87 secs, 7464 evals, 7338 steps, improv/step: 0.186 (last = 0.1250), fitness=0.037420718
503.39 secs, 7472 evals, 7346 steps, improv/step: 0.186 (last = 0.0000), fitness=0.037420718
503.90 secs, 7480 evals, 7354 steps, improv/step: 0.185 (last = 0.0000), fitness=0.037420718
504.41 secs, 7488 evals, 7362 steps, improv/step: 0.185 (last = 0.0000), fitness=0.037420718
504.93 secs, 7496 evals, 7370 steps, improv/step: 0.185 (last = 0.0000), fitness=0.037420718
505.44 secs, 7504 evals, 7378 steps, improv/step: 0.185 (last = 0.1250), fitness=0.037420718
505.97 secs, 7512 evals, 7386 steps, improv/step: 0.185 (last = 0.0000), fitness=0.037420718
506.47 secs, 7520 evals, 7394 steps, improv/step: 0.185 (last = 0.0000), fitness=0.037420718
506.99 secs, 7528 evals, 7402 steps, improv/step: 0.185 (last = 0.1250), fitness=0.037420718
507.50 secs, 7536 evals, 7410 steps, improv/step: 0.184 (last = 0.1250), fitness=0.037420718
508.02 secs, 7544 evals, 7418 steps, improv/step: 0.184 (last = 0.1250), fitness=0.037420718
508.54 secs, 7552 evals, 7426 steps, improv/step: 0.184 (last = 0.0000), fitness=0.037420718
509.05 secs, 7560 evals, 7434 steps, improv/step: 0.184 (last = 0.0000), fitness=0.037420718
509.57 secs, 7568 evals, 7442 steps, improv/step: 0.184 (last = 0.0000), fitness=0.037420718
510.09 secs, 7576 evals, 7450 steps, improv/step: 0.184 (last = 0.0000), fitness=0.037420718
510.61 secs, 7584 evals, 7458 steps, improv/step: 0.183 (last = 0.0000), fitness=0.037420718
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511.63 secs, 7600 evals, 7474 steps, improv/step: 0.183 (last = 0.0000), fitness=0.037420718
512.14 secs, 7608 evals, 7482 steps, improv/step: 0.183 (last = 0.0000), fitness=0.037420718
512.64 secs, 7616 evals, 7490 steps, improv/step: 0.183 (last = 0.0000), fitness=0.037420718
513.15 secs, 7624 evals, 7498 steps, improv/step: 0.182 (last = 0.0000), fitness=0.037420718
513.66 secs, 7632 evals, 7506 steps, improv/step: 0.182 (last = 0.0000), fitness=0.037420718
514.18 secs, 7640 evals, 7514 steps, improv/step: 0.182 (last = 0.0000), fitness=0.037420718
514.69 secs, 7648 evals, 7522 steps, improv/step: 0.182 (last = 0.1250), fitness=0.037420718
515.22 secs, 7655 evals, 7529 steps, improv/step: 0.182 (last = 0.1429), fitness=0.037420718
515.72 secs, 7663 evals, 7537 steps, improv/step: 0.182 (last = 0.0000), fitness=0.037420718
516.23 secs, 7671 evals, 7545 steps, improv/step: 0.182 (last = 0.0000), fitness=0.037420718
516.75 secs, 7679 evals, 7553 steps, improv/step: 0.181 (last = 0.0000), fitness=0.037420718
517.27 secs, 7687 evals, 7561 steps, improv/step: 0.181 (last = 0.0000), fitness=0.037420718
517.79 secs, 7695 evals, 7569 steps, improv/step: 0.181 (last = 0.0000), fitness=0.037420718
518.31 secs, 7703 evals, 7577 steps, improv/step: 0.181 (last = 0.0000), fitness=0.037420718
518.82 secs, 7711 evals, 7585 steps, improv/step: 0.181 (last = 0.0000), fitness=0.037420718
519.33 secs, 7719 evals, 7593 steps, improv/step: 0.180 (last = 0.0000), fitness=0.037420718
519.86 secs, 7727 evals, 7602 steps, improv/step: 0.180 (last = 0.0000), fitness=0.037420718
520.37 secs, 7735 evals, 7610 steps, improv/step: 0.180 (last = 0.2500), fitness=0.037420718
520.88 secs, 7743 evals, 7618 steps, improv/step: 0.180 (last = 0.0000), fitness=0.037420718
521.38 secs, 7751 evals, 7626 steps, improv/step: 0.180 (last = 0.1250), fitness=0.037420718
521.89 secs, 7759 evals, 7634 steps, improv/step: 0.180 (last = 0.1250), fitness=0.037420718
522.45 secs, 7768 evals, 7643 steps, improv/step: 0.180 (last = 0.0000), fitness=0.037420718
522.95 secs, 7776 evals, 7651 steps, improv/step: 0.180 (last = 0.0000), fitness=0.037420718
523.47 secs, 7784 evals, 7659 steps, improv/step: 0.180 (last = 0.1250), fitness=0.037420718
523.97 secs, 7792 evals, 7667 steps, improv/step: 0.179 (last = 0.1250), fitness=0.037420718
524.48 secs, 7800 evals, 7675 steps, improv/step: 0.179 (last = 0.0000), fitness=0.037420718
524.98 secs, 7808 evals, 7683 steps, improv/step: 0.179 (last = 0.0000), fitness=0.037420718
525.49 secs, 7816 evals, 7691 steps, improv/step: 0.179 (last = 0.1250), fitness=0.037420718
525.99 secs, 7824 evals, 7699 steps, improv/step: 0.179 (last = 0.0000), fitness=0.037420718
526.50 secs, 7832 evals, 7707 steps, improv/step: 0.179 (last = 0.1250), fitness=0.037420718
527.00 secs, 7840 evals, 7715 steps, improv/step: 0.179 (last = 0.0000), fitness=0.037420718
527.50 secs, 7848 evals, 7723 steps, improv/step: 0.179 (last = 0.1250), fitness=0.037420718
528.01 secs, 7856 evals, 7731 steps, improv/step: 0.179 (last = 0.2500), fitness=0.037420718
528.57 secs, 7865 evals, 7740 steps, improv/step: 0.179 (last = 0.1111), fitness=0.037420718
529.08 secs, 7873 evals, 7748 steps, improv/step: 0.178 (last = 0.1250), fitness=0.037420718
529.59 secs, 7881 evals, 7756 steps, improv/step: 0.178 (last = 0.0000), fitness=0.037420718
530.09 secs, 7889 evals, 7764 steps, improv/step: 0.178 (last = 0.0000), fitness=0.037420718
530.62 secs, 7896 evals, 7771 steps, improv/step: 0.178 (last = 0.0000), fitness=0.037420718
531.12 secs, 7904 evals, 7779 steps, improv/step: 0.178 (last = 0.1250), fitness=0.037420718
531.63 secs, 7912 evals, 7787 steps, improv/step: 0.178 (last = 0.0000), fitness=0.037420718
532.14 secs, 7920 evals, 7795 steps, improv/step: 0.178 (last = 0.1250), fitness=0.037420718
532.64 secs, 7928 evals, 7803 steps, improv/step: 0.177 (last = 0.0000), fitness=0.037420718
533.15 secs, 7936 evals, 7811 steps, improv/step: 0.177 (last = 0.1250), fitness=0.037420718
533.66 secs, 7944 evals, 7819 steps, improv/step: 0.177 (last = 0.1250), fitness=0.037420718
534.16 secs, 7952 evals, 7827 steps, improv/step: 0.177 (last = 0.0000), fitness=0.037420718
534.72 secs, 7961 evals, 7836 steps, improv/step: 0.177 (last = 0.0000), fitness=0.037420718
535.23 secs, 7969 evals, 7844 steps, improv/step: 0.177 (last = 0.1250), fitness=0.037420718
535.73 secs, 7977 evals, 7852 steps, improv/step: 0.177 (last = 0.0000), fitness=0.037420718
536.28 secs, 7986 evals, 7861 steps, improv/step: 0.177 (last = 0.0000), fitness=0.037420718
536.84 secs, 7995 evals, 7870 steps, improv/step: 0.176 (last = 0.0000), fitness=0.037420718
537.39 secs, 8004 evals, 7879 steps, improv/step: 0.176 (last = 0.1111), fitness=0.037420718
537.95 secs, 8013 evals, 7888 steps, improv/step: 0.176 (last = 0.1111), fitness=0.037420718
538.50 secs, 8022 evals, 7897 steps, improv/step: 0.176 (last = 0.0000), fitness=0.037420718
539.06 secs, 8031 evals, 7906 steps, improv/step: 0.176 (last = 0.2222), fitness=0.037420718
539.62 secs, 8040 evals, 7915 steps, improv/step: 0.176 (last = 0.0000), fitness=0.037420718
540.18 secs, 8049 evals, 7924 steps, improv/step: 0.176 (last = 0.0000), fitness=0.037420718
540.68 secs, 8057 evals, 7932 steps, improv/step: 0.176 (last = 0.1250), fitness=0.037420718
541.24 secs, 8066 evals, 7941 steps, improv/step: 0.175 (last = 0.0000), fitness=0.037420718
541.80 secs, 8075 evals, 7950 steps, improv/step: 0.175 (last = 0.1111), fitness=0.037420718
542.30 secs, 8083 evals, 7958 steps, improv/step: 0.175 (last = 0.2500), fitness=0.037420718
542.81 secs, 8091 evals, 7966 steps, improv/step: 0.175 (last = 0.0000), fitness=0.037420718
543.31 secs, 8099 evals, 7974 steps, improv/step: 0.175 (last = 0.0000), fitness=0.037420718
543.81 secs, 8107 evals, 7982 steps, improv/step: 0.175 (last = 0.0000), fitness=0.037420718
544.31 secs, 8115 evals, 7990 steps, improv/step: 0.175 (last = 0.0000), fitness=0.037420718
544.81 secs, 8123 evals, 7998 steps, improv/step: 0.175 (last = 0.0000), fitness=0.037420718
545.32 secs, 8131 evals, 8006 steps, improv/step: 0.174 (last = 0.0000), fitness=0.037420718
545.82 secs, 8138 evals, 8013 steps, improv/step: 0.174 (last = 0.0000), fitness=0.037420718
546.33 secs, 8146 evals, 8021 steps, improv/step: 0.174 (last = 0.0000), fitness=0.037420718
546.84 secs, 8154 evals, 8029 steps, improv/step: 0.174 (last = 0.0000), fitness=0.037420718
547.40 secs, 8163 evals, 8038 steps, improv/step: 0.174 (last = 0.0000), fitness=0.037420718
547.91 secs, 8171 evals, 8046 steps, improv/step: 0.174 (last = 0.0000), fitness=0.037420718
548.47 secs, 8180 evals, 8055 steps, improv/step: 0.173 (last = 0.0000), fitness=0.037420718
549.03 secs, 8189 evals, 8064 steps, improv/step: 0.173 (last = 0.0000), fitness=0.037420718
549.53 secs, 8197 evals, 8072 steps, improv/step: 0.173 (last = 0.0000), fitness=0.037420718
550.09 secs, 8206 evals, 8081 steps, improv/step: 0.173 (last = 0.1111), fitness=0.037420718
550.64 secs, 8215 evals, 8090 steps, improv/step: 0.173 (last = 0.0000), fitness=0.037420718
551.21 secs, 8224 evals, 8099 steps, improv/step: 0.172 (last = 0.0000), fitness=0.037420718
551.76 secs, 8233 evals, 8108 steps, improv/step: 0.172 (last = 0.1111), fitness=0.037420718
552.26 secs, 8241 evals, 8116 steps, improv/step: 0.172 (last = 0.0000), fitness=0.037420718
552.81 secs, 8250 evals, 8125 steps, improv/step: 0.172 (last = 0.1111), fitness=0.037420718
553.36 secs, 8259 evals, 8134 steps, improv/step: 0.172 (last = 0.1111), fitness=0.037420718
553.92 secs, 8268 evals, 8143 steps, improv/step: 0.172 (last = 0.1111), fitness=0.037420718
554.47 secs, 8277 evals, 8152 steps, improv/step: 0.172 (last = 0.0000), fitness=0.037420718
554.97 secs, 8285 evals, 8160 steps, improv/step: 0.172 (last = 0.0000), fitness=0.037420718
555.53 secs, 8294 evals, 8169 steps, improv/step: 0.172 (last = 0.0000), fitness=0.037420718
556.09 secs, 8303 evals, 8178 steps, improv/step: 0.171 (last = 0.0000), fitness=0.037420718
556.59 secs, 8311 evals, 8186 steps, improv/step: 0.171 (last = 0.1250), fitness=0.037420718
557.10 secs, 8319 evals, 8194 steps, improv/step: 0.171 (last = 0.0000), fitness=0.037420718
557.65 secs, 8327 evals, 8202 steps, improv/step: 0.171 (last = 0.0000), fitness=0.037420718
558.16 secs, 8334 evals, 8209 steps, improv/step: 0.171 (last = 0.0000), fitness=0.037420718
558.73 secs, 8342 evals, 8217 steps, improv/step: 0.171 (last = 0.0000), fitness=0.037420718
559.23 secs, 8349 evals, 8224 steps, improv/step: 0.171 (last = 0.1429), fitness=0.037420718
559.75 secs, 8356 evals, 8231 steps, improv/step: 0.170 (last = 0.0000), fitness=0.037420718
560.31 secs, 8364 evals, 8239 steps, improv/step: 0.170 (last = 0.0000), fitness=0.037420718
560.83 secs, 8371 evals, 8246 steps, improv/step: 0.170 (last = 0.1429), fitness=0.037420718
561.37 secs, 8378 evals, 8253 steps, improv/step: 0.170 (last = 0.0000), fitness=0.037420718
561.91 secs, 8386 evals, 8261 steps, improv/step: 0.170 (last = 0.0000), fitness=0.037420718
562.41 secs, 8394 evals, 8269 steps, improv/step: 0.170 (last = 0.0000), fitness=0.037420718
562.91 secs, 8402 evals, 8277 steps, improv/step: 0.170 (last = 0.0000), fitness=0.037420718
563.41 secs, 8410 evals, 8285 steps, improv/step: 0.169 (last = 0.0000), fitness=0.037420718
563.92 secs, 8418 evals, 8293 steps, improv/step: 0.169 (last = 0.0000), fitness=0.037420718
564.42 secs, 8426 evals, 8301 steps, improv/step: 0.169 (last = 0.1250), fitness=0.037420718
564.92 secs, 8434 evals, 8309 steps, improv/step: 0.169 (last = 0.0000), fitness=0.037420718
565.42 secs, 8442 evals, 8317 steps, improv/step: 0.169 (last = 0.1250), fitness=0.037420718
565.93 secs, 8450 evals, 8325 steps, improv/step: 0.169 (last = 0.3750), fitness=0.037420718
566.44 secs, 8458 evals, 8333 steps, improv/step: 0.169 (last = 0.1250), fitness=0.037420718
566.94 secs, 8466 evals, 8341 steps, improv/step: 0.169 (last = 0.0000), fitness=0.037420718
567.45 secs, 8474 evals, 8349 steps, improv/step: 0.169 (last = 0.0000), fitness=0.037420718
568.01 secs, 8483 evals, 8358 steps, improv/step: 0.169 (last = 0.0000), fitness=0.037420718
568.52 secs, 8491 evals, 8366 steps, improv/step: 0.169 (last = 0.0000), fitness=0.037420718
569.08 secs, 8500 evals, 8375 steps, improv/step: 0.168 (last = 0.1111), fitness=0.037420718
569.66 secs, 8508 evals, 8383 steps, improv/step: 0.168 (last = 0.1250), fitness=0.037420718
570.17 secs, 8515 evals, 8390 steps, improv/step: 0.168 (last = 0.0000), fitness=0.037420718
570.73 secs, 8523 evals, 8398 steps, improv/step: 0.168 (last = 0.0000), fitness=0.037420718
571.23 secs, 8531 evals, 8406 steps, improv/step: 0.168 (last = 0.0000), fitness=0.037420718
571.74 secs, 8539 evals, 8414 steps, improv/step: 0.168 (last = 0.1250), fitness=0.037420718
572.25 secs, 8547 evals, 8422 steps, improv/step: 0.168 (last = 0.0000), fitness=0.037420718
572.75 secs, 8555 evals, 8430 steps, improv/step: 0.168 (last = 0.2500), fitness=0.037420718
573.27 secs, 8563 evals, 8438 steps, improv/step: 0.168 (last = 0.0000), fitness=0.037420718
573.77 secs, 8571 evals, 8446 steps, improv/step: 0.168 (last = 0.0000), fitness=0.037420718
574.28 secs, 8579 evals, 8454 steps, improv/step: 0.167 (last = 0.1250), fitness=0.037420718
574.79 secs, 8587 evals, 8462 steps, improv/step: 0.167 (last = 0.0000), fitness=0.037420718
575.29 secs, 8595 evals, 8470 steps, improv/step: 0.167 (last = 0.0000), fitness=0.037420718
575.82 secs, 8603 evals, 8478 steps, improv/step: 0.167 (last = 0.0000), fitness=0.037420718
576.34 secs, 8610 evals, 8485 steps, improv/step: 0.167 (last = 0.0000), fitness=0.037420718
576.84 secs, 8617 evals, 8492 steps, improv/step: 0.167 (last = 0.0000), fitness=0.037420718
577.38 secs, 8625 evals, 8500 steps, improv/step: 0.167 (last = 0.0000), fitness=0.037420718
577.89 secs, 8633 evals, 8508 steps, improv/step: 0.166 (last = 0.0000), fitness=0.037420718
578.40 secs, 8641 evals, 8516 steps, improv/step: 0.166 (last = 0.0000), fitness=0.037420718
578.92 secs, 8649 evals, 8524 steps, improv/step: 0.166 (last = 0.0000), fitness=0.037420718
579.43 secs, 8657 evals, 8532 steps, improv/step: 0.166 (last = 0.1250), fitness=0.037420718
579.94 secs, 8665 evals, 8540 steps, improv/step: 0.166 (last = 0.0000), fitness=0.037420718
580.46 secs, 8673 evals, 8548 steps, improv/step: 0.166 (last = 0.1250), fitness=0.037420718
580.97 secs, 8681 evals, 8556 steps, improv/step: 0.166 (last = 0.0000), fitness=0.037420718
581.53 secs, 8689 evals, 8564 steps, improv/step: 0.166 (last = 0.0000), fitness=0.037420718
582.06 secs, 8697 evals, 8572 steps, improv/step: 0.165 (last = 0.0000), fitness=0.037420718
582.58 secs, 8705 evals, 8580 steps, improv/step: 0.165 (last = 0.1250), fitness=0.037420718
583.10 secs, 8713 evals, 8588 steps, improv/step: 0.165 (last = 0.2500), fitness=0.037420718
583.62 secs, 8721 evals, 8596 steps, improv/step: 0.165 (last = 0.0000), fitness=0.037420718
584.14 secs, 8729 evals, 8604 steps, improv/step: 0.165 (last = 0.0000), fitness=0.037420718
584.65 secs, 8737 evals, 8612 steps, improv/step: 0.165 (last = 0.1250), fitness=0.037420718
585.18 secs, 8745 evals, 8620 steps, improv/step: 0.165 (last = 0.0000), fitness=0.037420718
585.69 secs, 8753 evals, 8628 steps, improv/step: 0.165 (last = 0.0000), fitness=0.037420718
586.20 secs, 8761 evals, 8636 steps, improv/step: 0.165 (last = 0.0000), fitness=0.037420718
586.72 secs, 8769 evals, 8644 steps, improv/step: 0.165 (last = 0.1250), fitness=0.037420718
587.24 secs, 8777 evals, 8652 steps, improv/step: 0.164 (last = 0.0000), fitness=0.037420718
587.75 secs, 8785 evals, 8660 steps, improv/step: 0.164 (last = 0.0000), fitness=0.037420718
588.28 secs, 8793 evals, 8668 steps, improv/step: 0.164 (last = 0.1250), fitness=0.037420718
588.80 secs, 8801 evals, 8676 steps, improv/step: 0.164 (last = 0.0000), fitness=0.037420718
589.32 secs, 8809 evals, 8684 steps, improv/step: 0.164 (last = 0.0000), fitness=0.037420718
589.84 secs, 8817 evals, 8692 steps, improv/step: 0.164 (last = 0.0000), fitness=0.037420718
590.36 secs, 8825 evals, 8700 steps, improv/step: 0.164 (last = 0.1250), fitness=0.037420718
590.89 secs, 8833 evals, 8708 steps, improv/step: 0.164 (last = 0.0000), fitness=0.037420718
591.40 secs, 8841 evals, 8716 steps, improv/step: 0.164 (last = 0.1250), fitness=0.037420718
591.91 secs, 8848 evals, 8723 steps, improv/step: 0.163 (last = 0.0000), fitness=0.037420718
592.45 secs, 8856 evals, 8731 steps, improv/step: 0.163 (last = 0.0000), fitness=0.037420718
592.96 secs, 8864 evals, 8739 steps, improv/step: 0.163 (last = 0.0000), fitness=0.037420718
593.47 secs, 8872 evals, 8747 steps, improv/step: 0.163 (last = 0.0000), fitness=0.037420718
594.00 secs, 8880 evals, 8755 steps, improv/step: 0.163 (last = 0.1250), fitness=0.037420718
594.52 secs, 8888 evals, 8763 steps, improv/step: 0.163 (last = 0.1250), fitness=0.037420718
595.02 secs, 8896 evals, 8771 steps, improv/step: 0.163 (last = 0.0000), fitness=0.037420718
595.54 secs, 8904 evals, 8779 steps, improv/step: 0.163 (last = 0.0000), fitness=0.037420718
596.05 secs, 8912 evals, 8787 steps, improv/step: 0.163 (last = 0.1250), fitness=0.037420718
596.56 secs, 8920 evals, 8795 steps, improv/step: 0.163 (last = 0.1250), fitness=0.037420718
597.10 secs, 8928 evals, 8803 steps, improv/step: 0.163 (last = 0.1250), fitness=0.037420718
597.61 secs, 8936 evals, 8811 steps, improv/step: 0.162 (last = 0.0000), fitness=0.037420718
598.12 secs, 8944 evals, 8819 steps, improv/step: 0.162 (last = 0.0000), fitness=0.037420718
598.64 secs, 8952 evals, 8827 steps, improv/step: 0.162 (last = 0.1250), fitness=0.037420718
599.18 secs, 8960 evals, 8835 steps, improv/step: 0.162 (last = 0.0000), fitness=0.037420718
599.71 secs, 8968 evals, 8843 steps, improv/step: 0.162 (last = 0.0000), fitness=0.037420718
600.26 secs, 8976 evals, 8851 steps, improv/step: 0.162 (last = 0.0000), fitness=0.037420718
600.78 secs, 8984 evals, 8859 steps, improv/step: 0.162 (last = 0.1250), fitness=0.037420718
601.29 secs, 8992 evals, 8867 steps, improv/step: 0.162 (last = 0.0000), fitness=0.037420718
601.85 secs, 9001 evals, 8876 steps, improv/step: 0.162 (last = 0.1111), fitness=0.037420718
602.36 secs, 9009 evals, 8884 steps, improv/step: 0.162 (last = 0.1250), fitness=0.037420718
602.87 secs, 9017 evals, 8892 steps, improv/step: 0.161 (last = 0.0000), fitness=0.037420718
603.43 secs, 9026 evals, 8901 steps, improv/step: 0.161 (last = 0.2222), fitness=0.037420718
603.94 secs, 9034 evals, 8909 steps, improv/step: 0.161 (last = 0.1250), fitness=0.037420718
604.44 secs, 9042 evals, 8917 steps, improv/step: 0.161 (last = 0.0000), fitness=0.037420718
604.96 secs, 9050 evals, 8925 steps, improv/step: 0.161 (last = 0.1250), fitness=0.037420718
605.48 secs, 9058 evals, 8933 steps, improv/step: 0.161 (last = 0.0000), fitness=0.037420718
606.00 secs, 9066 evals, 8941 steps, improv/step: 0.161 (last = 0.0000), fitness=0.037420718
606.53 secs, 9074 evals, 8949 steps, improv/step: 0.161 (last = 0.0000), fitness=0.037420718
607.06 secs, 9082 evals, 8957 steps, improv/step: 0.161 (last = 0.0000), fitness=0.037420718
607.58 secs, 9089 evals, 8964 steps, improv/step: 0.161 (last = 0.0000), fitness=0.037420718
608.08 secs, 9097 evals, 8972 steps, improv/step: 0.160 (last = 0.0000), fitness=0.037420718
608.59 secs, 9105 evals, 8980 steps, improv/step: 0.160 (last = 0.1250), fitness=0.037420718
609.14 secs, 9113 evals, 8988 steps, improv/step: 0.160 (last = 0.0000), fitness=0.037420718
609.66 secs, 9121 evals, 8996 steps, improv/step: 0.160 (last = 0.0000), fitness=0.037420718
610.17 secs, 9129 evals, 9004 steps, improv/step: 0.160 (last = 0.0000), fitness=0.037420718
610.73 secs, 9137 evals, 9012 steps, improv/step: 0.160 (last = 0.0000), fitness=0.037420718
611.26 secs, 9145 evals, 9020 steps, improv/step: 0.160 (last = 0.2500), fitness=0.037420718
611.77 secs, 9153 evals, 9028 steps, improv/step: 0.160 (last = 0.0000), fitness=0.037420718
612.27 secs, 9161 evals, 9036 steps, improv/step: 0.160 (last = 0.0000), fitness=0.037420718
612.84 secs, 9170 evals, 9045 steps, improv/step: 0.159 (last = 0.0000), fitness=0.037420718
613.36 secs, 9178 evals, 9053 steps, improv/step: 0.159 (last = 0.0000), fitness=0.037420718
613.87 secs, 9186 evals, 9061 steps, improv/step: 0.159 (last = 0.1250), fitness=0.037420718
614.40 secs, 9194 evals, 9069 steps, improv/step: 0.159 (last = 0.0000), fitness=0.037420718
614.92 secs, 9202 evals, 9077 steps, improv/step: 0.159 (last = 0.0000), fitness=0.037420718
615.43 secs, 9210 evals, 9085 steps, improv/step: 0.159 (last = 0.0000), fitness=0.037420718
615.94 secs, 9218 evals, 9093 steps, improv/step: 0.159 (last = 0.0000), fitness=0.037420718
616.46 secs, 9226 evals, 9101 steps, improv/step: 0.159 (last = 0.1250), fitness=0.037420718
616.98 secs, 9234 evals, 9109 steps, improv/step: 0.159 (last = 0.0000), fitness=0.037420718
617.49 secs, 9242 evals, 9117 steps, improv/step: 0.158 (last = 0.1250), fitness=0.037420718
618.01 secs, 9250 evals, 9125 steps, improv/step: 0.158 (last = 0.0000), fitness=0.037420718
618.51 secs, 9258 evals, 9133 steps, improv/step: 0.158 (last = 0.2500), fitness=0.037420718
619.03 secs, 9266 evals, 9141 steps, improv/step: 0.158 (last = 0.1250), fitness=0.037420718
619.54 secs, 9274 evals, 9149 steps, improv/step: 0.158 (last = 0.1250), fitness=0.037420718
620.06 secs, 9282 evals, 9157 steps, improv/step: 0.158 (last = 0.0000), fitness=0.037420718
620.58 secs, 9290 evals, 9165 steps, improv/step: 0.158 (last = 0.0000), fitness=0.037420718
621.10 secs, 9298 evals, 9173 steps, improv/step: 0.158 (last = 0.0000), fitness=0.037420718
621.61 secs, 9306 evals, 9181 steps, improv/step: 0.158 (last = 0.1250), fitness=0.037420718
622.14 secs, 9314 evals, 9189 steps, improv/step: 0.158 (last = 0.2500), fitness=0.037420718
622.71 secs, 9322 evals, 9197 steps, improv/step: 0.158 (last = 0.0000), fitness=0.037420718
623.24 secs, 9330 evals, 9205 steps, improv/step: 0.158 (last = 0.0000), fitness=0.037420718
623.76 secs, 9338 evals, 9213 steps, improv/step: 0.158 (last = 0.0000), fitness=0.037420718
624.28 secs, 9346 evals, 9221 steps, improv/step: 0.157 (last = 0.0000), fitness=0.037420718

======================================================================================
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 61 running 1 of 1

signal (10): User defined signal 1
unknown function (ip: 0x7331a7605e94) at /lib/x86_64-linux-gnu/libc.so.6
__pthread_rwlock_wrlock at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
uv_rwlock_wrlock at /workspace/srcdir/libuv/src/unix/thread.c:415
jl_lock_profile_wr at /source/src/signal-handling.c:163
jl_DI_for_fptr at /source/src/debuginfo.cpp:1229 [inlined]
jl_getFunctionInfo_impl at /source/src/debuginfo.cpp:1288
ijl_lookup_code_address at /source/src/stackwalk.c:717
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_45274.1 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:1348 [inlined]
invokelatest_gr at ./reflection.jl:1342 [inlined]
#depwarn#965 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/RPW6n/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: 0x733191a4c872) 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: 0x733191a4b122) 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: 0x733191a2b698) 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:2994
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
_include at ./loading.jl:3054
include at ./Base.jl:310
IncludeInto at ./Base.jl:311
unknown function (ip: 0x733191b2c212) 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/v1.14/Test/src/Test.jl:1961 [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:2994
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
_include at ./loading.jl:3054
include at ./Base.jl:310
IncludeInto at ./Base.jl:311
jfptr_IncludeInto_53570.1 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_44654.1 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: 0x7331a75a7249) 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)

624.81 secs, 9353 evals, 9228 steps, improv/step: 0.157 (last = 0.0000), fitness=0.037420718
625.36 secs, 9360 evals, 9235 steps, improv/step: 0.157 (last = 0.1429), fitness=0.037420718

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

626.52 secs, 9362 evals, 9237 steps, improv/step: 0.157 (last = 0.0000), fitness=0.037420718
======================================================================================
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:1223
wait_forever at ./task.jl:1145
jfptr_wait_forever_59269.1 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)

┌ 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/v1.14/Profile/src/Profile.jl:1362

Overhead ╎ [+additional indent] Count File:Line  Function
=========================================================
Thread 1 (default) Task 0x000073318d5fc010 Total snapshots: 720. Utilization: 100%
   ╎719 @Base/client.jl:577  _start()
   ╎ 719 @Base/client.jl:310  exec_options(opts::Base.JLOptions)
   ╎  719 @Base/boot.jl:489  eval(m::Module, e::Any)
   ╎   719 @Base/Base.jl:311  (::Base.IncludeInto)(fname::String)
   ╎    719 @Base/Base.jl:310  include(mapexpr::Function, mod::Module, _path::S…
   ╎     719 @Base/loading.jl:3054  _include(mapexpr::Function, mod::Module, _p…
   ╎    ╎ 719 @Base/loading.jl:2994  include_string(mapexpr::typeof(identity), …
   ╎    ╎  719 @Base/boot.jl:489  eval(m::Module, e::Any)
   ╎    ╎   719 @DiffEqParamEstim/…l:353  top-level scope
   ╎    ╎    719 @Base/timing.jl:689  macro expansion
   ╎    ╎     719 @DiffEqParamEstim/…l:4  macro expansion
   ╎    ╎    ╎ 719 @Test/src/Test.jl:1961  macro expansion
   ╎    ╎    ╎  719 @DiffEqParamEstim/…:5  macro expansion
   ╎    ╎    ╎   719 @Base/Base.jl:311  (::Base.IncludeInto)(fname::String)
   ╎    ╎    ╎    719 @Base/Base.jl:310  include(mapexpr::Function, mod::Module…
   ╎    ╎    ╎     719 @Base/loading.jl:3054  _include(mapexpr::Function, mod::…
   ╎    ╎    ╎    ╎ 719 @Base/loading.jl:2994  include_string(mapexpr::typeof(i…
   ╎    ╎    ╎    ╎  719 @Base/boot.jl:489  eval(m::Module, e::Any)
   ╎    ╎    ╎    ╎   719 @BlackBoxOptim/…:91  kwcall(::@NamedTuple{SearchRange…
   ╎    ╎    ╎    ╎    719 @BlackBoxOptim/…:91  bboptimize
   ╎    ╎    ╎    ╎     719 @BlackBoxOptim/…:93  bboptimize(functionOrProblem::…
   ╎    ╎    ╎    ╎    ╎ 719 @BlackBoxOptim/…:470  run!(oc::BlackBoxOptim.OptCo…
   ╎    ╎    ╎    ╎    ╎  719 @BlackBoxOptim/…:321  run!(ctrl::BlackBoxOptim.Op…
   ╎    ╎    ╎    ╎    ╎   719 @BlackBoxOptim/…:274  step!
   ╎    ╎    ╎    ╎    ╎    719 @BlackBoxOptim/…:183  rank_by_fitness!
   ╎    ╎    ╎    ╎    ╎     719 @BlackBoxOptim/…:51  update_fitness!
   ╎    ╎    ╎    ╎    ╎    ╎ 719 @BlackBoxOptim/…:51  #update_fitness!#48
   ╎    ╎    ╎    ╎    ╎    ╎  719 @BlackBoxOptim/…:41  update_fitness!
   ╎    ╎    ╎    ╎    ╎    ╎   719 @BlackBoxOptim/…:45  update_fitness!(f::Not…
   ╎    ╎    ╎    ╎    ╎    ╎    719 @BlackBoxOptim/…:23  update_fitness!
   ╎    ╎    ╎    ╎    ╎    ╎     719 @BlackBoxOptim/…:26  #update_fitness!#45
   ╎    ╎    ╎    ╎    ╎    ╎    ╎ 719 @BlackBoxOptim/…:150  fitness
   ╎    ╎    ╎    ╎    ╎    ╎    ╎  719 @BlackBoxOptim/…:61  fitness
   ╎    ╎    ╎    ╎    ╎    ╎    ╎   719 @SciMLBase/…:4258  OptimizationFunction
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    719 @DiffEqParamEstim/…:10  #37
   ╎    ╎    ╎    ╎    ╎    ╎    ╎     1   @DiffEqParamEstim/…:12  #37
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ 1   @DiffEqBase/…:520  solve
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  1   @DiffEqBase/…:530  #solve#29
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎   1   @DiffEqBase/…:540  solve_up
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎    1   @DiffEqBase/…:563  solve_up(prob…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎     1   @DiffEqBase/…:84  solve_call
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +1 1   @DiffEqBase/…:127  #solve_call#…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +2 1   @OrdinaryDiffEqCore/…:1  __solve
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +3 1   @OrdinaryDiffEqCore/…:6  #__sol…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +4 1   @OrdinaryDiffEqCore/…:11  __init
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 1   @OrdinaryDiffEqCore/…:11  __init
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 1   @OrdinaryDiffEqCore/…:300  __in…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 1   @OrdinaryDiffEqCore/…:693  init…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +8 1   @DataStructures/…:91  push!
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +9 1   @DataStructures/…:66  heappush!
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ +10 1   @Base/…ay.jl:1345  push!
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ +11 1   @Base/…ay.jl:1348  _push!
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ +12 1   @Base/…ay.jl:1205  _growend!
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ +13 1   @Base/…ay.jl:1181  _growend_int…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ +14 1   @Base/…ay.jl:1101  array_new_me…
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ +15 1   @Base/…ot.jl:588  GenericMemory
   ╎    ╎    ╎    ╎    ╎    ╎    ╎     718 @DiffEqParamEstim/…:18  #37
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ 718 @DiffEqParamEstim/…:103  (::L2Loss{…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  718 @Base/…ed.jl:215  getindex(VA::ODE…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎   718 @Base/…ed.jl:252  depwarn
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎    718 @Base/…ed.jl:257  #depwarn#965
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎     718 @Base/…on.jl:1342  invokelatest…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +1 1   @Base/…on.jl:1346  #invokelates…
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +2 1   @Base/…on.jl:1340  getglobalref
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +1 717 @Base/…on.jl:1348  #invokelates…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +2 717 @Base/…ed.jl:266  _depwarn(msg:…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +3 714 @Base/…ng.jl:401  macro expansi…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +4 21  @Base/…ed.jl:270  macro expansi…
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 1   @Base/…or.jl:82  _reformat_bt(b…
 19╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 19  @Base/…or.jl:124  backtrace()
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 1   @Base/…or.jl:125  backtrace()
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 1   @Base/…or.jl:85  _reformat_bt(b…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +4 693 @Base/…ed.jl:271  macro expansi…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 693 @Base/…ed.jl:291  firstcaller
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 688 @Base/…ed.jl:296  firstcaller
681╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 682 @Base/…es.jl:110  lookup(pointe…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 4   @Base/…es.jl:113  lookup(pointe…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +8 4   @Base/…ot.jl:648  Array
  4╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +9 4   @Base/…ot.jl:588  GenericMemory
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 1   @Base/…es.jl:119  lookup(pointe…
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 1   @Base/…es.jl:121  lookup(pointe…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 1   @Base/…ed.jl:297  firstcaller
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 1   @Base/…ay.jl:1245  iterate
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +8 1   @Base/…ay.jl:1245  iterate
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +9 1   @Base/…ay.jl:1252  _iterate_abs…
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ +10 1   @Base/…ls.jl:381  checkbounds
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 1   @Base/…ed.jl:302  firstcaller
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 1   @Base/…ed.jl:304  firstcaller
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 1   @Base/…le.jl:664  in
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 1   @Base/…ed.jl:313  firstcaller
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 1   @Base/…ay.jl:1245  iterate
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +8 1   @Base/…ay.jl:1252  _iterate_abs…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 1   @Base/…ed.jl:314  firstcaller
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 1   @Base/…ay.jl:1245  iterate
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +8 1   @Base/…ay.jl:1253  _iterate_abs…
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +9 1   @Base/…ls.jl:965  getindex
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +3 1   @Base/…ng.jl:402  macro expansi…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +4 1   @Base/…ng.jl:340  current_logge…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 1   @Base/…ng.jl:536  current_logst…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 1   @Base/…es.jl:213  get
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 1   @Base/…ct.jl:1002  get(dict::Ba…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +8 1   @Base/…mt.jl:93  HashState
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +9 1   @Base/…ls.jl:894  objectid
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +3 2   @Base/…ng.jl:407  macro expansi…
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +4 1   @Base/…ck.jl:173  _trylock(rl::…

635.19 secs, 9363 evals, 9238 steps, improv/step: 0.157 (last = 0.0000), fitness=0.037420718

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

635.74 secs, 9369 evals, 9244 steps, improv/step: 0.157 (last = 0.0000), fitness=0.037420718
636.25 secs, 9372 evals, 9247 steps, improv/step: 0.157 (last = 0.3333), fitness=0.037420718
636.76 secs, 9375 evals, 9250 steps, improv/step: 0.157 (last = 0.0000), fitness=0.037420718
637.28 secs, 9378 evals, 9253 steps, improv/step: 0.157 (last = 0.0000), fitness=0.037420718
┌ 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/v1.14/Profile/src/Profile.jl:1362
Overhead ╎ [+additional indent] Count File:Line  Function
=========================================================
Thread 1 (default) Task 0x0000775916dbc5b0 Total snapshots: 567. Utilization: 0%
   ╎567 @Base/task.jl:1145  wait_forever()
566╎ 567 @Base/task.jl:1223  wait()

637.85 secs, 9383 evals, 9259 steps, improv/step: 0.157 (last = 0.1667), fitness=0.037420718
638.41 secs, 9390 evals, 9266 steps, improv/step: 0.157 (last = 0.0000), fitness=0.037420718
638.92 secs, 9397 evals, 9273 steps, improv/step: 0.157 (last = 0.0000), fitness=0.037420718
639.45 secs, 9404 evals, 9280 steps, improv/step: 0.157 (last = 0.0000), fitness=0.037420718
639.96 secs, 9411 evals, 9287 steps, improv/step: 0.157 (last = 0.0000), fitness=0.037420718
640.53 secs, 9419 evals, 9295 steps, improv/step: 0.157 (last = 0.0000), fitness=0.037420718
641.10 secs, 9427 evals, 9303 steps, improv/step: 0.157 (last = 0.2500), fitness=0.037420718
641.61 secs, 9434 evals, 9310 steps, improv/step: 0.157 (last = 0.1429), fitness=0.037420718
642.18 secs, 9442 evals, 9318 steps, improv/step: 0.157 (last = 0.1250), fitness=0.037420718
642.75 secs, 9450 evals, 9326 steps, improv/step: 0.156 (last = 0.0000), fitness=0.037420718
643.25 secs, 9457 evals, 9333 steps, improv/step: 0.156 (last = 0.0000), fitness=0.037420718
643.82 secs, 9465 evals, 9341 steps, improv/step: 0.156 (last = 0.0000), fitness=0.037420718
644.38 secs, 9473 evals, 9349 steps, improv/step: 0.156 (last = 0.1250), fitness=0.037420718

[61] signal 15: Terminated
in expression starting at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/test/tests_on_odes/l2loss_test.jl:14
__pthread_rwlock_unlock at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
uv_rwlock_wrunlock at /workspace/srcdir/libuv/src/unix/thread.c:435
lookup_pointer at /source/src/debuginfo.cpp:483
jl_getDylibFunctionInfo at /source/src/debuginfo.cpp:1222 [inlined]
jl_getFunctionInfo_impl at /source/src/debuginfo.cpp:1293
ijl_lookup_code_address at /source/src/stackwalk.c:717
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_45274.1 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:1348 [inlined]
invokelatest_gr at ./reflection.jl:1342 [inlined]
#depwarn#965 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/RPW6n/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: 0x733191a4c872) 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: 0x733191a4b122) 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: 0x733191a2b698) 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:2994
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
_include at ./loading.jl:3054
include at ./Base.jl:310
IncludeInto at ./Base.jl:311
unknown function (ip: 0x733191b2c212) 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/v1.14/Test/src/Test.jl:1961 [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:2994
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
_include at ./loading.jl:3054
include at ./Base.jl:310
IncludeInto at ./Base.jl:311
jfptr_IncludeInto_53570.1 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_44654.1 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: 0x7331a75a7249) 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: 492189012 (Pool: 492187027; Big: 1985); GC: 778

PkgEval terminated after 2730.16s: test duration exceeded the time limit