Package evaluation to test DiffEqParamEstim on Julia 1.14.0-DEV.36 (e2f3178d9b*) started at 2025-11-06T21:43:12.906


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

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 9.86s


################################################################################
# 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 v0.19.3
  [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 v1.15.0
  [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 v0.5.16
  [94e857df] + SIMDTypes v0.1.0
  [0bca4576] + SciMLBase v2.124.0
  [a6db7da4] + SciMLLogging v1.4.0
  [c0aeaf25] + SciMLOperators v1.10.0
  [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

Installation completed after 5.39s


################################################################################
# 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...
   4261.6 ms  ✓ SymbolicIndexingInterface
   4137.1 ms  ✓ PenaltyFunctions
   1295.6 ms  ✓ StatsFuns → StatsFunsInverseFunctionsExt
  11280.4 ms  ✓ Distributions
   3988.1 ms  ✓ RecursiveArrayTools
   2934.4 ms  ✓ RecursiveArrayTools → RecursiveArrayToolsSparseArraysExt
   2246.5 ms  ✓ RecursiveArrayTools → RecursiveArrayToolsFastBroadcastExt
  24202.4 ms  ✓ SciMLBase
   5232.8 ms  ✓ SciMLBase → SciMLBaseDistributionsExt
   6578.0 ms  ✓ DiffEqBase
   3989.1 ms  ✓ DiffEqBase → DiffEqBaseSparseArraysExt
   6019.2 ms  ✓ DiffEqParamEstim
  12 dependencies successfully precompiled in 79 seconds. 119 already precompiled.

Precompilation completed after 88.5s


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

     Testing DiffEqParamEstim
      Status `/tmp/jl_V8wD8b/Project.toml`
  [a134a8b2] BlackBoxOptim v0.6.3
  [49dc2e85] Calculus v0.5.2
  [bcd4f6db] DelayDiffEq v5.61.1
  [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 v0.4.5
  [4e6fcdb7] OptimizationNLopt v0.3.8
  [36348300] OptimizationOptimJL v0.4.8
  [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_V8wD8b/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 v1.6.0
  [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 v0.19.3
  [e2d170a0] DataValueInterfaces v1.0.0
  [bcd4f6db] DelayDiffEq v5.61.1
  [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 v0.13.96
  [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 v1.15.0
  [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 v2.2.0
⌅ [70703baa] JuliaSyntax v0.4.10
  [ccbc3e58] JumpProcesses v9.19.1
  [63c18a36] KernelAbstractions v0.9.39
  [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 v2.2.0
  [5959db7a] NonlinearSolveFirstOrder v1.10.0
  [9a2c21bd] NonlinearSolveQuasiNewton v1.11.0
  [26075421] NonlinearSolveSpectralMethods v1.6.0
  [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 v0.4.5
  [bca83a33] OptimizationBase v4.0.2
  [4e6fcdb7] OptimizationNLopt v0.3.8
  [36348300] OptimizationOptimJL v0.4.8
  [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 v0.5.16
  [9dfe8606] SCCNonlinearSolve v1.6.0
  [94e857df] SIMDTypes v0.1.0
  [0bca4576] SciMLBase v2.124.0
  [19f34311] SciMLJacobianOperators v0.1.11
  [a6db7da4] SciMLLogging v1.4.0
  [c0aeaf25] SciMLOperators v1.10.0
  [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 v0.4.23
  [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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  [8290d209] ThreadingUtilities v0.5.5
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  [1986cc42] Unitful v1.25.1
  [a7c27f48] Unityper v0.1.6
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  [e88e6eb3] Zygote v0.7.10
  [700de1a5] ZygoteRules v0.2.7
  [cd4c43a9] Dierckx_jll v0.2.0+0
⌅ [7cc45869] Enzyme_jll v0.0.207+0
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  [1d5cc7b8] IntelOpenMP_jll v2025.2.0+0
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  [dad2f222] LLVMExtra_jll v0.0.38+0
  [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
0.63 secs, 8 evals, 4 steps, improv/step: 0.250 (last = 0.2500), fitness=697.348110505
1.36 secs, 14 evals, 7 steps, improv/step: 0.429 (last = 0.6667), fitness=129.469641965
1.94 secs, 22 evals, 11 steps, improv/step: 0.455 (last = 0.5000), fitness=82.213675346
2.49 secs, 30 evals, 15 steps, improv/step: 0.400 (last = 0.2500), fitness=82.213675346
3.07 secs, 38 evals, 19 steps, improv/step: 0.368 (last = 0.2500), fitness=47.161969538
3.65 secs, 46 evals, 24 steps, improv/step: 0.375 (last = 0.4000), fitness=47.161969538
4.19 secs, 54 evals, 30 steps, improv/step: 0.400 (last = 0.5000), fitness=20.901381704
4.74 secs, 62 evals, 34 steps, improv/step: 0.412 (last = 0.5000), fitness=3.577892999
5.36 secs, 71 evals, 39 steps, improv/step: 0.359 (last = 0.0000), fitness=3.577892999
5.91 secs, 78 evals, 43 steps, improv/step: 0.326 (last = 0.0000), fitness=3.577892999
6.52 secs, 86 evals, 47 steps, improv/step: 0.319 (last = 0.2500), fitness=3.577892999
7.16 secs, 93 evals, 51 steps, improv/step: 0.333 (last = 0.5000), fitness=3.577892999
7.79 secs, 100 evals, 55 steps, improv/step: 0.364 (last = 0.7500), fitness=3.577892999
8.42 secs, 109 evals, 60 steps, improv/step: 0.333 (last = 0.0000), fitness=3.577892999
8.97 secs, 117 evals, 65 steps, improv/step: 0.308 (last = 0.0000), fitness=3.577892999
9.52 secs, 125 evals, 69 steps, improv/step: 0.304 (last = 0.2500), fitness=3.577892999
10.08 secs, 133 evals, 74 steps, improv/step: 0.324 (last = 0.6000), fitness=3.577892999
10.63 secs, 141 evals, 78 steps, improv/step: 0.321 (last = 0.2500), fitness=3.577892999
11.19 secs, 149 evals, 82 steps, improv/step: 0.317 (last = 0.2500), fitness=3.577892999
11.74 secs, 157 evals, 87 steps, improv/step: 0.322 (last = 0.4000), fitness=3.577892999
12.33 secs, 165 evals, 92 steps, improv/step: 0.326 (last = 0.4000), fitness=3.577892999
12.90 secs, 172 evals, 97 steps, improv/step: 0.320 (last = 0.2000), fitness=3.577892999
13.53 secs, 180 evals, 103 steps, improv/step: 0.340 (last = 0.6667), fitness=3.577892999
14.16 secs, 189 evals, 110 steps, improv/step: 0.327 (last = 0.1429), fitness=3.577892999
14.80 secs, 198 evals, 115 steps, improv/step: 0.330 (last = 0.4000), fitness=3.577892999
15.35 secs, 205 evals, 119 steps, improv/step: 0.336 (last = 0.5000), fitness=3.577892999
15.94 secs, 212 evals, 123 steps, improv/step: 0.325 (last = 0.0000), fitness=3.577892999
16.46 secs, 218 evals, 127 steps, improv/step: 0.339 (last = 0.7500), fitness=1.182381019
16.96 secs, 224 evals, 131 steps, improv/step: 0.344 (last = 0.5000), fitness=1.182381019
17.55 secs, 231 evals, 137 steps, improv/step: 0.343 (last = 0.3333), fitness=0.424319613
18.06 secs, 237 evals, 142 steps, improv/step: 0.352 (last = 0.6000), fitness=0.424319613
18.62 secs, 244 evals, 146 steps, improv/step: 0.349 (last = 0.2500), fitness=0.424319613
19.20 secs, 251 evals, 153 steps, improv/step: 0.346 (last = 0.2857), fitness=0.424319613
19.72 secs, 257 evals, 157 steps, improv/step: 0.344 (last = 0.2500), fitness=0.424319613
20.25 secs, 263 evals, 161 steps, improv/step: 0.354 (last = 0.7500), fitness=0.424319613
20.76 secs, 269 evals, 165 steps, improv/step: 0.345 (last = 0.0000), fitness=0.424319613
21.27 secs, 275 evals, 170 steps, improv/step: 0.347 (last = 0.4000), fitness=0.424319613
21.84 secs, 282 evals, 175 steps, improv/step: 0.349 (last = 0.4000), fitness=0.424319613
22.42 secs, 289 evals, 182 steps, improv/step: 0.346 (last = 0.2857), fitness=0.424319613
22.99 secs, 295 evals, 187 steps, improv/step: 0.337 (last = 0.0000), fitness=0.424319613
23.63 secs, 302 evals, 192 steps, improv/step: 0.344 (last = 0.6000), fitness=0.424319613
24.18 secs, 308 evals, 197 steps, improv/step: 0.345 (last = 0.4000), fitness=0.424319613
24.76 secs, 314 evals, 203 steps, improv/step: 0.340 (last = 0.1667), fitness=0.424319613
25.33 secs, 320 evals, 208 steps, improv/step: 0.341 (last = 0.4000), fitness=0.424319613
25.90 secs, 326 evals, 214 steps, improv/step: 0.346 (last = 0.5000), fitness=0.067751013
26.46 secs, 332 evals, 219 steps, improv/step: 0.342 (last = 0.2000), fitness=0.067751013
27.03 secs, 338 evals, 225 steps, improv/step: 0.333 (last = 0.0000), fitness=0.067751013
27.59 secs, 344 evals, 231 steps, improv/step: 0.325 (last = 0.0000), fitness=0.067751013
28.15 secs, 350 evals, 237 steps, improv/step: 0.325 (last = 0.3333), fitness=0.038583467
28.72 secs, 356 evals, 243 steps, improv/step: 0.325 (last = 0.3333), fitness=0.038583467
29.28 secs, 362 evals, 248 steps, improv/step: 0.335 (last = 0.8000), fitness=0.038583467
29.83 secs, 368 evals, 253 steps, improv/step: 0.336 (last = 0.4000), fitness=0.038583467
30.39 secs, 374 evals, 259 steps, improv/step: 0.336 (last = 0.3333), fitness=0.038583467
30.95 secs, 380 evals, 265 steps, improv/step: 0.336 (last = 0.3333), fitness=0.038583467
31.53 secs, 386 evals, 268 steps, improv/step: 0.332 (last = 0.0000), fitness=0.038583467
32.09 secs, 392 evals, 274 steps, improv/step: 0.328 (last = 0.1667), fitness=0.038583467
32.66 secs, 398 evals, 280 steps, improv/step: 0.325 (last = 0.1667), fitness=0.038583467
33.21 secs, 404 evals, 285 steps, improv/step: 0.330 (last = 0.6000), fitness=0.038583467
33.78 secs, 410 evals, 290 steps, improv/step: 0.331 (last = 0.4000), fitness=0.038583467
34.35 secs, 416 evals, 296 steps, improv/step: 0.334 (last = 0.5000), fitness=0.038583467
34.92 secs, 422 evals, 301 steps, improv/step: 0.332 (last = 0.2000), fitness=0.038583467
35.48 secs, 428 evals, 307 steps, improv/step: 0.336 (last = 0.5000), fitness=0.038583467
36.06 secs, 434 evals, 313 steps, improv/step: 0.335 (last = 0.3333), fitness=0.038583467
36.61 secs, 440 evals, 319 steps, improv/step: 0.335 (last = 0.3333), fitness=0.038583467
37.13 secs, 446 evals, 325 steps, improv/step: 0.338 (last = 0.5000), fitness=0.038583467
37.68 secs, 452 evals, 330 steps, improv/step: 0.342 (last = 0.6000), fitness=0.038583467
38.23 secs, 458 evals, 336 steps, improv/step: 0.342 (last = 0.3333), fitness=0.038583467
38.82 secs, 465 evals, 342 steps, improv/step: 0.336 (last = 0.0000), fitness=0.038583467
39.35 secs, 471 evals, 348 steps, improv/step: 0.333 (last = 0.1667), fitness=0.038583467
39.87 secs, 477 evals, 352 steps, improv/step: 0.335 (last = 0.5000), fitness=0.038583467
40.42 secs, 483 evals, 357 steps, improv/step: 0.336 (last = 0.4000), fitness=0.038583467
40.98 secs, 489 evals, 362 steps, improv/step: 0.334 (last = 0.2000), fitness=0.038583467
41.55 secs, 495 evals, 368 steps, improv/step: 0.329 (last = 0.0000), fitness=0.038583467
42.21 secs, 502 evals, 373 steps, improv/step: 0.332 (last = 0.6000), fitness=0.038583467
42.74 secs, 508 evals, 378 steps, improv/step: 0.331 (last = 0.2000), fitness=0.038583467
43.26 secs, 514 evals, 383 steps, improv/step: 0.329 (last = 0.2000), fitness=0.038583467
43.76 secs, 520 evals, 388 steps, improv/step: 0.327 (last = 0.2000), fitness=0.038583467
44.26 secs, 526 evals, 393 steps, improv/step: 0.328 (last = 0.4000), fitness=0.038583467
44.84 secs, 533 evals, 400 steps, improv/step: 0.335 (last = 0.7143), fitness=0.038583467
45.42 secs, 540 evals, 407 steps, improv/step: 0.337 (last = 0.4286), fitness=0.038583467
45.98 secs, 546 evals, 413 steps, improv/step: 0.341 (last = 0.6667), fitness=0.038583467
46.54 secs, 552 evals, 418 steps, improv/step: 0.340 (last = 0.2000), fitness=0.038583467
47.09 secs, 558 evals, 423 steps, improv/step: 0.340 (last = 0.4000), fitness=0.038583467
47.64 secs, 564 evals, 429 steps, improv/step: 0.343 (last = 0.5000), fitness=0.038583467
48.20 secs, 570 evals, 435 steps, improv/step: 0.343 (last = 0.3333), fitness=0.038583467
48.77 secs, 576 evals, 441 steps, improv/step: 0.340 (last = 0.1667), fitness=0.038583467
49.33 secs, 582 evals, 447 steps, improv/step: 0.338 (last = 0.1667), fitness=0.038583467
49.90 secs, 588 evals, 453 steps, improv/step: 0.338 (last = 0.3333), fitness=0.038583467
50.49 secs, 594 evals, 459 steps, improv/step: 0.340 (last = 0.5000), fitness=0.038231458
51.05 secs, 600 evals, 465 steps, improv/step: 0.340 (last = 0.3333), fitness=0.038231458
51.60 secs, 606 evals, 471 steps, improv/step: 0.338 (last = 0.1667), fitness=0.038231458
52.16 secs, 612 evals, 477 steps, improv/step: 0.333 (last = 0.0000), fitness=0.038231458
52.74 secs, 618 evals, 483 steps, improv/step: 0.331 (last = 0.1667), fitness=0.038231458
53.31 secs, 624 evals, 489 steps, improv/step: 0.329 (last = 0.1667), fitness=0.038231458
53.86 secs, 630 evals, 494 steps, improv/step: 0.326 (last = 0.0000), fitness=0.038231458
54.40 secs, 636 evals, 500 steps, improv/step: 0.324 (last = 0.1667), fitness=0.038231458
54.91 secs, 642 evals, 506 steps, improv/step: 0.322 (last = 0.1667), fitness=0.038231458
55.42 secs, 648 evals, 512 steps, improv/step: 0.324 (last = 0.5000), fitness=0.038194984
55.95 secs, 654 evals, 518 steps, improv/step: 0.320 (last = 0.0000), fitness=0.038194984
56.47 secs, 660 evals, 524 steps, improv/step: 0.321 (last = 0.3333), fitness=0.038194984
57.01 secs, 666 evals, 530 steps, improv/step: 0.319 (last = 0.1667), fitness=0.038194984
57.55 secs, 672 evals, 536 steps, improv/step: 0.321 (last = 0.5000), fitness=0.038194984
58.10 secs, 678 evals, 542 steps, improv/step: 0.321 (last = 0.3333), fitness=0.038194984
58.66 secs, 684 evals, 548 steps, improv/step: 0.323 (last = 0.5000), fitness=0.037965929
59.24 secs, 690 evals, 554 steps, improv/step: 0.327 (last = 0.6667), fitness=0.037965929
59.78 secs, 696 evals, 560 steps, improv/step: 0.329 (last = 0.5000), fitness=0.037965929
60.33 secs, 702 evals, 566 steps, improv/step: 0.329 (last = 0.3333), fitness=0.037965929
60.87 secs, 708 evals, 572 steps, improv/step: 0.325 (last = 0.0000), fitness=0.037965929
61.42 secs, 714 evals, 577 steps, improv/step: 0.328 (last = 0.6000), fitness=0.037856746
61.94 secs, 720 evals, 583 steps, improv/step: 0.326 (last = 0.1667), fitness=0.037856746
62.46 secs, 726 evals, 589 steps, improv/step: 0.324 (last = 0.1667), fitness=0.037856746
63.00 secs, 732 evals, 595 steps, improv/step: 0.323 (last = 0.1667), fitness=0.037856746
63.56 secs, 738 evals, 601 steps, improv/step: 0.324 (last = 0.5000), fitness=0.037856746
64.11 secs, 744 evals, 607 steps, improv/step: 0.328 (last = 0.6667), fitness=0.037856746
64.66 secs, 750 evals, 613 steps, improv/step: 0.326 (last = 0.1667), fitness=0.037856746
65.22 secs, 756 evals, 618 steps, improv/step: 0.327 (last = 0.4000), fitness=0.037856746
65.78 secs, 762 evals, 624 steps, improv/step: 0.329 (last = 0.5000), fitness=0.037856746
66.33 secs, 768 evals, 630 steps, improv/step: 0.325 (last = 0.0000), fitness=0.037856746
66.86 secs, 774 evals, 636 steps, improv/step: 0.325 (last = 0.3333), fitness=0.037856746
67.36 secs, 780 evals, 642 steps, improv/step: 0.322 (last = 0.0000), fitness=0.037856746
67.90 secs, 786 evals, 648 steps, improv/step: 0.326 (last = 0.6667), fitness=0.037856746
68.43 secs, 792 evals, 654 steps, improv/step: 0.327 (last = 0.5000), fitness=0.037856746
68.97 secs, 798 evals, 660 steps, improv/step: 0.327 (last = 0.3333), fitness=0.037856746
69.53 secs, 804 evals, 666 steps, improv/step: 0.326 (last = 0.1667), fitness=0.037856746
70.08 secs, 810 evals, 672 steps, improv/step: 0.326 (last = 0.3333), fitness=0.037856746
70.60 secs, 816 evals, 678 steps, improv/step: 0.330 (last = 0.8333), fitness=0.037856746
71.12 secs, 822 evals, 684 steps, improv/step: 0.329 (last = 0.1667), fitness=0.037856746
71.62 secs, 828 evals, 690 steps, improv/step: 0.329 (last = 0.3333), fitness=0.037856746
72.17 secs, 834 evals, 696 steps, improv/step: 0.328 (last = 0.1667), fitness=0.037856746
72.71 secs, 840 evals, 702 steps, improv/step: 0.328 (last = 0.3333), fitness=0.037856746
73.27 secs, 846 evals, 708 steps, improv/step: 0.328 (last = 0.3333), fitness=0.037856746
73.81 secs, 852 evals, 714 steps, improv/step: 0.331 (last = 0.6667), fitness=0.037856746
74.38 secs, 858 evals, 720 steps, improv/step: 0.328 (last = 0.0000), fitness=0.037856746
74.93 secs, 864 evals, 726 steps, improv/step: 0.329 (last = 0.5000), fitness=0.037856746
75.48 secs, 870 evals, 732 steps, improv/step: 0.328 (last = 0.1667), fitness=0.037856746
76.03 secs, 876 evals, 738 steps, improv/step: 0.327 (last = 0.1667), fitness=0.037856746
76.55 secs, 882 evals, 744 steps, improv/step: 0.328 (last = 0.5000), fitness=0.037856746
77.08 secs, 888 evals, 750 steps, improv/step: 0.328 (last = 0.3333), fitness=0.037856746
77.59 secs, 894 evals, 756 steps, improv/step: 0.327 (last = 0.1667), fitness=0.037856746
78.13 secs, 900 evals, 762 steps, improv/step: 0.328 (last = 0.5000), fitness=0.037856746
78.68 secs, 906 evals, 768 steps, improv/step: 0.328 (last = 0.3333), fitness=0.037856746
79.26 secs, 912 evals, 774 steps, improv/step: 0.328 (last = 0.3333), fitness=0.037856746
79.83 secs, 918 evals, 780 steps, improv/step: 0.329 (last = 0.5000), fitness=0.037856746
80.40 secs, 924 evals, 786 steps, improv/step: 0.331 (last = 0.5000), fitness=0.037856746
80.96 secs, 930 evals, 792 steps, improv/step: 0.328 (last = 0.0000), fitness=0.037856746
81.50 secs, 936 evals, 798 steps, improv/step: 0.327 (last = 0.1667), fitness=0.037856746
82.05 secs, 942 evals, 804 steps, improv/step: 0.327 (last = 0.3333), fitness=0.037856746
82.59 secs, 948 evals, 810 steps, improv/step: 0.328 (last = 0.5000), fitness=0.037856746
83.12 secs, 954 evals, 816 steps, improv/step: 0.328 (last = 0.3333), fitness=0.037856746
83.64 secs, 960 evals, 822 steps, improv/step: 0.330 (last = 0.5000), fitness=0.037852428
84.21 secs, 967 evals, 829 steps, improv/step: 0.332 (last = 0.5714), fitness=0.037852428
84.79 secs, 974 evals, 836 steps, improv/step: 0.334 (last = 0.5714), fitness=0.037852428
85.36 secs, 981 evals, 843 steps, improv/step: 0.336 (last = 0.5714), fitness=0.037852428
85.93 secs, 988 evals, 850 steps, improv/step: 0.338 (last = 0.5714), fitness=0.037852428
86.48 secs, 994 evals, 856 steps, improv/step: 0.338 (last = 0.3333), fitness=0.037852428
87.06 secs, 1001 evals, 863 steps, improv/step: 0.338 (last = 0.4286), fitness=0.037852428
87.58 secs, 1007 evals, 869 steps, improv/step: 0.337 (last = 0.1667), fitness=0.037852428
88.12 secs, 1013 evals, 875 steps, improv/step: 0.336 (last = 0.1667), fitness=0.037852428
88.65 secs, 1019 evals, 881 steps, improv/step: 0.335 (last = 0.1667), fitness=0.037852428
89.21 secs, 1025 evals, 887 steps, improv/step: 0.335 (last = 0.3333), fitness=0.037852428
89.77 secs, 1031 evals, 893 steps, improv/step: 0.334 (last = 0.1667), fitness=0.037852428
90.31 secs, 1037 evals, 899 steps, improv/step: 0.334 (last = 0.3333), fitness=0.037852428
90.85 secs, 1043 evals, 905 steps, improv/step: 0.334 (last = 0.3333), fitness=0.037852428
91.39 secs, 1049 evals, 911 steps, improv/step: 0.334 (last = 0.3333), fitness=0.037852428
91.95 secs, 1055 evals, 917 steps, improv/step: 0.337 (last = 0.8333), fitness=0.037852428
92.52 secs, 1061 evals, 923 steps, improv/step: 0.337 (last = 0.3333), fitness=0.037852428
93.08 secs, 1067 evals, 929 steps, improv/step: 0.339 (last = 0.6667), fitness=0.037852428
93.64 secs, 1073 evals, 935 steps, improv/step: 0.340 (last = 0.5000), fitness=0.037852428
94.19 secs, 1079 evals, 941 steps, improv/step: 0.342 (last = 0.6667), fitness=0.037852428
94.76 secs, 1085 evals, 947 steps, improv/step: 0.343 (last = 0.5000), fitness=0.037852428
95.31 secs, 1091 evals, 953 steps, improv/step: 0.342 (last = 0.1667), fitness=0.037852428
95.87 secs, 1097 evals, 959 steps, improv/step: 0.342 (last = 0.3333), fitness=0.037852206
96.41 secs, 1103 evals, 965 steps, improv/step: 0.341 (last = 0.1667), fitness=0.037852206
96.97 secs, 1109 evals, 971 steps, improv/step: 0.340 (last = 0.1667), fitness=0.037852206
97.51 secs, 1115 evals, 977 steps, improv/step: 0.342 (last = 0.6667), fitness=0.037852206
98.06 secs, 1121 evals, 983 steps, improv/step: 0.341 (last = 0.1667), fitness=0.037852206
98.60 secs, 1127 evals, 989 steps, improv/step: 0.340 (last = 0.1667), fitness=0.037852206
99.13 secs, 1133 evals, 995 steps, improv/step: 0.342 (last = 0.6667), fitness=0.037852206
99.66 secs, 1139 evals, 1001 steps, improv/step: 0.341 (last = 0.1667), fitness=0.037852206
100.19 secs, 1145 evals, 1007 steps, improv/step: 0.341 (last = 0.3333), fitness=0.037852206
100.72 secs, 1151 evals, 1013 steps, improv/step: 0.343 (last = 0.6667), fitness=0.037852206
101.24 secs, 1157 evals, 1019 steps, improv/step: 0.343 (last = 0.5000), fitness=0.037852206
101.76 secs, 1163 evals, 1025 steps, improv/step: 0.342 (last = 0.1667), fitness=0.037852206
102.32 secs, 1170 evals, 1032 steps, improv/step: 0.342 (last = 0.2857), fitness=0.037852206
102.84 secs, 1176 evals, 1038 steps, improv/step: 0.340 (last = 0.0000), fitness=0.037852206
103.35 secs, 1182 evals, 1044 steps, improv/step: 0.342 (last = 0.6667), fitness=0.037852206
103.93 secs, 1189 evals, 1051 steps, improv/step: 0.346 (last = 1.0000), fitness=0.037852206
104.51 secs, 1196 evals, 1058 steps, improv/step: 0.348 (last = 0.5714), fitness=0.037852206
105.02 secs, 1202 evals, 1064 steps, improv/step: 0.349 (last = 0.5000), fitness=0.037852206
105.59 secs, 1209 evals, 1071 steps, improv/step: 0.347 (last = 0.1429), fitness=0.037852206
106.17 secs, 1216 evals, 1078 steps, improv/step: 0.348 (last = 0.4286), fitness=0.037852206
106.72 secs, 1222 evals, 1084 steps, improv/step: 0.349 (last = 0.5000), fitness=0.037852193
107.27 secs, 1228 evals, 1090 steps, improv/step: 0.349 (last = 0.3333), fitness=0.037852193
107.80 secs, 1234 evals, 1096 steps, improv/step: 0.349 (last = 0.5000), fitness=0.037852191
108.31 secs, 1240 evals, 1102 steps, improv/step: 0.351 (last = 0.6667), fitness=0.037852191
108.83 secs, 1246 evals, 1108 steps, improv/step: 0.350 (last = 0.1667), fitness=0.037852191
109.35 secs, 1252 evals, 1114 steps, improv/step: 0.350 (last = 0.3333), fitness=0.037852189
109.86 secs, 1258 evals, 1120 steps, improv/step: 0.352 (last = 0.6667), fitness=0.037852189
110.38 secs, 1264 evals, 1126 steps, improv/step: 0.352 (last = 0.3333), fitness=0.037852189
110.89 secs, 1270 evals, 1132 steps, improv/step: 0.352 (last = 0.3333), fitness=0.037852189
111.40 secs, 1276 evals, 1138 steps, improv/step: 0.352 (last = 0.5000), fitness=0.037852189
111.91 secs, 1282 evals, 1144 steps, improv/step: 0.353 (last = 0.5000), fitness=0.037852189
112.46 secs, 1288 evals, 1150 steps, improv/step: 0.353 (last = 0.3333), fitness=0.037852189
113.04 secs, 1294 evals, 1156 steps, improv/step: 0.353 (last = 0.3333), fitness=0.037852189
113.60 secs, 1300 evals, 1162 steps, improv/step: 0.353 (last = 0.3333), fitness=0.037852189
114.16 secs, 1306 evals, 1168 steps, improv/step: 0.351 (last = 0.0000), fitness=0.037852189
114.73 secs, 1312 evals, 1174 steps, improv/step: 0.351 (last = 0.3333), fitness=0.037852189
115.30 secs, 1318 evals, 1180 steps, improv/step: 0.350 (last = 0.1667), fitness=0.037852189
115.87 secs, 1324 evals, 1186 steps, improv/step: 0.352 (last = 0.8333), fitness=0.037852189
116.43 secs, 1330 evals, 1192 steps, improv/step: 0.352 (last = 0.1667), fitness=0.037852189
116.99 secs, 1336 evals, 1198 steps, improv/step: 0.352 (last = 0.5000), fitness=0.037852189
117.56 secs, 1342 evals, 1204 steps, improv/step: 0.351 (last = 0.1667), fitness=0.037852189
118.11 secs, 1348 evals, 1210 steps, improv/step: 0.352 (last = 0.5000), fitness=0.037852189
118.66 secs, 1354 evals, 1216 steps, improv/step: 0.352 (last = 0.3333), fitness=0.037852189
119.23 secs, 1360 evals, 1222 steps, improv/step: 0.352 (last = 0.3333), fitness=0.037852189
119.79 secs, 1366 evals, 1228 steps, improv/step: 0.353 (last = 0.5000), fitness=0.037852189
120.35 secs, 1372 evals, 1234 steps, improv/step: 0.353 (last = 0.5000), fitness=0.037852189
120.90 secs, 1378 evals, 1240 steps, improv/step: 0.352 (last = 0.1667), fitness=0.037852189
121.46 secs, 1384 evals, 1246 steps, improv/step: 0.352 (last = 0.1667), fitness=0.037852189
122.03 secs, 1390 evals, 1252 steps, improv/step: 0.351 (last = 0.3333), fitness=0.037852189
122.57 secs, 1396 evals, 1258 steps, improv/step: 0.351 (last = 0.1667), fitness=0.037852189
123.12 secs, 1402 evals, 1264 steps, improv/step: 0.350 (last = 0.1667), fitness=0.037852189
123.65 secs, 1408 evals, 1270 steps, improv/step: 0.350 (last = 0.3333), fitness=0.037852189
124.17 secs, 1414 evals, 1276 steps, improv/step: 0.351 (last = 0.6667), fitness=0.037852189
124.69 secs, 1420 evals, 1282 steps, improv/step: 0.350 (last = 0.1667), fitness=0.037852189
125.23 secs, 1426 evals, 1288 steps, improv/step: 0.352 (last = 0.8333), fitness=0.037852189
125.79 secs, 1432 evals, 1294 steps, improv/step: 0.353 (last = 0.5000), fitness=0.037852189
126.35 secs, 1438 evals, 1300 steps, improv/step: 0.353 (last = 0.3333), fitness=0.037852189
126.90 secs, 1444 evals, 1306 steps, improv/step: 0.353 (last = 0.3333), fitness=0.037852189
127.46 secs, 1450 evals, 1312 steps, improv/step: 0.354 (last = 0.5000), fitness=0.037852189
128.00 secs, 1456 evals, 1318 steps, improv/step: 0.354 (last = 0.5000), fitness=0.037852189
128.54 secs, 1462 evals, 1324 steps, improv/step: 0.353 (last = 0.1667), fitness=0.037852189
129.09 secs, 1468 evals, 1330 steps, improv/step: 0.353 (last = 0.1667), fitness=0.037852189
129.64 secs, 1474 evals, 1336 steps, improv/step: 0.355 (last = 0.8333), fitness=0.037852189
130.19 secs, 1480 evals, 1342 steps, improv/step: 0.356 (last = 0.6667), fitness=0.037852189
130.73 secs, 1486 evals, 1348 steps, improv/step: 0.355 (last = 0.1667), fitness=0.037852189
131.26 secs, 1492 evals, 1354 steps, improv/step: 0.356 (last = 0.5000), fitness=0.037852189
131.79 secs, 1498 evals, 1360 steps, improv/step: 0.357 (last = 0.5000), fitness=0.037852189
132.31 secs, 1504 evals, 1366 steps, improv/step: 0.356 (last = 0.1667), fitness=0.037852189
132.90 secs, 1511 evals, 1373 steps, improv/step: 0.356 (last = 0.4286), fitness=0.037852189
133.41 secs, 1517 evals, 1379 steps, improv/step: 0.356 (last = 0.3333), fitness=0.037852189
133.92 secs, 1523 evals, 1385 steps, improv/step: 0.356 (last = 0.3333), fitness=0.037852189
134.46 secs, 1529 evals, 1391 steps, improv/step: 0.357 (last = 0.5000), fitness=0.037852188
134.99 secs, 1535 evals, 1397 steps, improv/step: 0.357 (last = 0.5000), fitness=0.037852188
135.50 secs, 1541 evals, 1403 steps, improv/step: 0.356 (last = 0.1667), fitness=0.037852188
136.05 secs, 1547 evals, 1409 steps, improv/step: 0.356 (last = 0.1667), fitness=0.037852188
136.61 secs, 1553 evals, 1415 steps, improv/step: 0.355 (last = 0.3333), fitness=0.037852188
137.16 secs, 1559 evals, 1421 steps, improv/step: 0.356 (last = 0.5000), fitness=0.037852188
137.74 secs, 1565 evals, 1427 steps, improv/step: 0.355 (last = 0.1667), fitness=0.037852188
138.30 secs, 1571 evals, 1433 steps, improv/step: 0.355 (last = 0.3333), fitness=0.037852188
138.85 secs, 1577 evals, 1439 steps, improv/step: 0.355 (last = 0.3333), fitness=0.037852188
139.40 secs, 1583 evals, 1445 steps, improv/step: 0.356 (last = 0.5000), fitness=0.037852188
139.96 secs, 1589 evals, 1451 steps, improv/step: 0.356 (last = 0.3333), fitness=0.037852188
140.54 secs, 1595 evals, 1457 steps, improv/step: 0.354 (last = 0.0000), fitness=0.037852188
141.10 secs, 1601 evals, 1463 steps, improv/step: 0.355 (last = 0.5000), fitness=0.037852188
141.65 secs, 1607 evals, 1469 steps, improv/step: 0.356 (last = 0.6667), fitness=0.037852187
142.22 secs, 1613 evals, 1475 steps, improv/step: 0.358 (last = 0.8333), fitness=0.037852187
142.79 secs, 1619 evals, 1481 steps, improv/step: 0.357 (last = 0.0000), fitness=0.037852187
143.35 secs, 1625 evals, 1487 steps, improv/step: 0.358 (last = 0.6667), fitness=0.037852186
143.93 secs, 1631 evals, 1493 steps, improv/step: 0.358 (last = 0.5000), fitness=0.037852186
144.50 secs, 1637 evals, 1499 steps, improv/step: 0.360 (last = 0.6667), fitness=0.037852186
145.08 secs, 1643 evals, 1505 steps, improv/step: 0.360 (last = 0.5000), fitness=0.037852186
145.64 secs, 1649 evals, 1511 steps, improv/step: 0.360 (last = 0.3333), fitness=0.037852186
146.20 secs, 1655 evals, 1517 steps, improv/step: 0.359 (last = 0.1667), fitness=0.037852186
146.75 secs, 1661 evals, 1523 steps, improv/step: 0.358 (last = 0.0000), fitness=0.037852186
147.33 secs, 1667 evals, 1529 steps, improv/step: 0.358 (last = 0.5000), fitness=0.037852186
147.88 secs, 1673 evals, 1535 steps, improv/step: 0.358 (last = 0.3333), fitness=0.037852186
148.44 secs, 1679 evals, 1541 steps, improv/step: 0.358 (last = 0.1667), fitness=0.037852186
148.99 secs, 1685 evals, 1547 steps, improv/step: 0.359 (last = 0.6667), fitness=0.037852186
149.56 secs, 1691 evals, 1553 steps, improv/step: 0.360 (last = 0.6667), fitness=0.037852185
150.12 secs, 1697 evals, 1559 steps, improv/step: 0.360 (last = 0.3333), fitness=0.037852185
150.67 secs, 1703 evals, 1565 steps, improv/step: 0.360 (last = 0.5000), fitness=0.037852185
151.24 secs, 1709 evals, 1571 steps, improv/step: 0.361 (last = 0.5000), fitness=0.037852185
151.78 secs, 1715 evals, 1577 steps, improv/step: 0.361 (last = 0.3333), fitness=0.037852185
152.30 secs, 1721 evals, 1583 steps, improv/step: 0.360 (last = 0.1667), fitness=0.037852185
152.82 secs, 1727 evals, 1589 steps, improv/step: 0.359 (last = 0.1667), fitness=0.037852185
153.37 secs, 1733 evals, 1595 steps, improv/step: 0.360 (last = 0.5000), fitness=0.037852185
153.90 secs, 1739 evals, 1601 steps, improv/step: 0.360 (last = 0.5000), fitness=0.037852185
154.41 secs, 1745 evals, 1607 steps, improv/step: 0.361 (last = 0.5000), fitness=0.037852185
154.92 secs, 1751 evals, 1613 steps, improv/step: 0.361 (last = 0.3333), fitness=0.037852185
155.45 secs, 1757 evals, 1619 steps, improv/step: 0.361 (last = 0.3333), fitness=0.037852185
156.02 secs, 1764 evals, 1626 steps, improv/step: 0.360 (last = 0.2857), fitness=0.037852185
156.60 secs, 1771 evals, 1633 steps, improv/step: 0.361 (last = 0.5714), fitness=0.037852185
157.18 secs, 1778 evals, 1640 steps, improv/step: 0.362 (last = 0.4286), fitness=0.037852185
157.76 secs, 1785 evals, 1647 steps, improv/step: 0.362 (last = 0.5714), fitness=0.037852185
158.26 secs, 1791 evals, 1653 steps, improv/step: 0.362 (last = 0.3333), fitness=0.037852185
158.81 secs, 1797 evals, 1659 steps, improv/step: 0.363 (last = 0.5000), fitness=0.037852185
159.37 secs, 1803 evals, 1665 steps, improv/step: 0.362 (last = 0.1667), fitness=0.037852185
159.93 secs, 1809 evals, 1671 steps, improv/step: 0.361 (last = 0.1667), fitness=0.037852185
160.48 secs, 1815 evals, 1677 steps, improv/step: 0.361 (last = 0.1667), fitness=0.037852185
161.03 secs, 1821 evals, 1683 steps, improv/step: 0.361 (last = 0.3333), fitness=0.037852185
161.59 secs, 1827 evals, 1689 steps, improv/step: 0.362 (last = 0.6667), fitness=0.037852185
162.13 secs, 1833 evals, 1695 steps, improv/step: 0.361 (last = 0.1667), fitness=0.037852185
162.66 secs, 1839 evals, 1701 steps, improv/step: 0.361 (last = 0.3333), fitness=0.037852185
163.19 secs, 1845 evals, 1707 steps, improv/step: 0.360 (last = 0.1667), fitness=0.037852185
163.74 secs, 1851 evals, 1713 steps, improv/step: 0.359 (last = 0.0000), fitness=0.037852185
164.26 secs, 1857 evals, 1719 steps, improv/step: 0.359 (last = 0.3333), fitness=0.037852185
164.77 secs, 1863 evals, 1725 steps, improv/step: 0.359 (last = 0.3333), fitness=0.037852185
165.34 secs, 1870 evals, 1732 steps, improv/step: 0.359 (last = 0.4286), fitness=0.037852185
165.85 secs, 1876 evals, 1738 steps, improv/step: 0.358 (last = 0.0000), fitness=0.037852185
166.42 secs, 1883 evals, 1745 steps, improv/step: 0.358 (last = 0.2857), fitness=0.037852185
166.94 secs, 1889 evals, 1751 steps, improv/step: 0.357 (last = 0.1667), fitness=0.037852185
167.46 secs, 1895 evals, 1757 steps, improv/step: 0.357 (last = 0.3333), fitness=0.037852185
167.98 secs, 1901 evals, 1763 steps, improv/step: 0.357 (last = 0.3333), fitness=0.037852185
168.51 secs, 1907 evals, 1769 steps, improv/step: 0.358 (last = 0.6667), fitness=0.037852185
169.06 secs, 1913 evals, 1775 steps, improv/step: 0.358 (last = 0.3333), fitness=0.037852185
169.63 secs, 1919 evals, 1781 steps, improv/step: 0.357 (last = 0.0000), fitness=0.037852185
170.17 secs, 1925 evals, 1787 steps, improv/step: 0.356 (last = 0.3333), fitness=0.037852185
170.72 secs, 1931 evals, 1793 steps, improv/step: 0.356 (last = 0.1667), fitness=0.037852185
171.26 secs, 1937 evals, 1799 steps, improv/step: 0.355 (last = 0.1667), fitness=0.037852185
171.77 secs, 1943 evals, 1805 steps, improv/step: 0.355 (last = 0.3333), fitness=0.037852185
172.33 secs, 1950 evals, 1812 steps, improv/step: 0.354 (last = 0.0000), fitness=0.037852185
172.83 secs, 1956 evals, 1818 steps, improv/step: 0.355 (last = 0.6667), fitness=0.037852185
173.39 secs, 1963 evals, 1825 steps, improv/step: 0.353 (last = 0.0000), fitness=0.037852185
173.90 secs, 1969 evals, 1831 steps, improv/step: 0.353 (last = 0.3333), fitness=0.037852185
174.47 secs, 1976 evals, 1838 steps, improv/step: 0.353 (last = 0.2857), fitness=0.037852185
175.04 secs, 1983 evals, 1845 steps, improv/step: 0.353 (last = 0.2857), fitness=0.037852185
175.55 secs, 1989 evals, 1851 steps, improv/step: 0.353 (last = 0.3333), fitness=0.037852185
176.11 secs, 1996 evals, 1858 steps, improv/step: 0.352 (last = 0.1429), fitness=0.037852185
176.67 secs, 2003 evals, 1865 steps, improv/step: 0.352 (last = 0.2857), fitness=0.037852185
177.23 secs, 2010 evals, 1872 steps, improv/step: 0.351 (last = 0.1429), fitness=0.037852185
177.81 secs, 2017 evals, 1879 steps, improv/step: 0.350 (last = 0.1429), fitness=0.037852185
178.35 secs, 2023 evals, 1885 steps, improv/step: 0.350 (last = 0.3333), fitness=0.037852185
178.87 secs, 2029 evals, 1891 steps, improv/step: 0.350 (last = 0.1667), fitness=0.037852185
179.44 secs, 2035 evals, 1897 steps, improv/step: 0.348 (last = 0.0000), fitness=0.037852185
179.99 secs, 2041 evals, 1903 steps, improv/step: 0.348 (last = 0.1667), fitness=0.037852185
180.53 secs, 2047 evals, 1909 steps, improv/step: 0.347 (last = 0.0000), fitness=0.037852185
181.10 secs, 2053 evals, 1915 steps, improv/step: 0.346 (last = 0.0000), fitness=0.037852185
181.64 secs, 2059 evals, 1921 steps, improv/step: 0.346 (last = 0.3333), fitness=0.037852185
182.17 secs, 2065 evals, 1927 steps, improv/step: 0.345 (last = 0.1667), fitness=0.037852185
182.68 secs, 2071 evals, 1933 steps, improv/step: 0.345 (last = 0.1667), fitness=0.037852185
183.19 secs, 2077 evals, 1939 steps, improv/step: 0.345 (last = 0.5000), fitness=0.037852185
183.73 secs, 2083 evals, 1945 steps, improv/step: 0.344 (last = 0.1667), fitness=0.037852185
184.25 secs, 2089 evals, 1951 steps, improv/step: 0.343 (last = 0.0000), fitness=0.037852185
184.78 secs, 2095 evals, 1957 steps, improv/step: 0.343 (last = 0.3333), fitness=0.037852185
185.30 secs, 2101 evals, 1963 steps, improv/step: 0.343 (last = 0.1667), fitness=0.037852185
185.81 secs, 2107 evals, 1969 steps, improv/step: 0.342 (last = 0.1667), fitness=0.037852185
186.37 secs, 2114 evals, 1976 steps, improv/step: 0.342 (last = 0.2857), fitness=0.037852185
186.94 secs, 2121 evals, 1983 steps, improv/step: 0.341 (last = 0.1429), fitness=0.037852185
187.52 secs, 2128 evals, 1990 steps, improv/step: 0.341 (last = 0.2857), fitness=0.037852185
188.05 secs, 2134 evals, 1996 steps, improv/step: 0.341 (last = 0.3333), fitness=0.037852185
188.62 secs, 2141 evals, 2003 steps, improv/step: 0.340 (last = 0.1429), fitness=0.037852185
189.14 secs, 2147 evals, 2009 steps, improv/step: 0.340 (last = 0.1667), fitness=0.037852185
189.71 secs, 2154 evals, 2016 steps, improv/step: 0.339 (last = 0.1429), fitness=0.037852185
190.27 secs, 2161 evals, 2023 steps, improv/step: 0.339 (last = 0.1429), fitness=0.037852185
190.79 secs, 2167 evals, 2029 steps, improv/step: 0.338 (last = 0.0000), fitness=0.037852185
191.38 secs, 2174 evals, 2036 steps, improv/step: 0.336 (last = 0.0000), fitness=0.037852185
191.95 secs, 2181 evals, 2043 steps, improv/step: 0.337 (last = 0.4286), fitness=0.037852185
192.52 secs, 2188 evals, 2050 steps, improv/step: 0.336 (last = 0.1429), fitness=0.037852185
193.10 secs, 2195 evals, 2057 steps, improv/step: 0.335 (last = 0.0000), fitness=0.037852185
193.68 secs, 2202 evals, 2064 steps, improv/step: 0.334 (last = 0.0000), fitness=0.037852185
194.25 secs, 2209 evals, 2071 steps, improv/step: 0.333 (last = 0.1429), fitness=0.037852185
194.81 secs, 2216 evals, 2078 steps, improv/step: 0.333 (last = 0.1429), fitness=0.037852185
195.39 secs, 2223 evals, 2085 steps, improv/step: 0.332 (last = 0.1429), fitness=0.037852185
195.96 secs, 2230 evals, 2092 steps, improv/step: 0.332 (last = 0.4286), fitness=0.037852185
196.50 secs, 2236 evals, 2098 steps, improv/step: 0.332 (last = 0.1667), fitness=0.037852185
197.02 secs, 2242 evals, 2104 steps, improv/step: 0.332 (last = 0.5000), fitness=0.037852185
197.56 secs, 2248 evals, 2110 steps, improv/step: 0.332 (last = 0.1667), fitness=0.037852185
198.11 secs, 2254 evals, 2116 steps, improv/step: 0.331 (last = 0.1667), fitness=0.037852185
198.67 secs, 2260 evals, 2122 steps, improv/step: 0.331 (last = 0.1667), fitness=0.037852185
199.18 secs, 2266 evals, 2128 steps, improv/step: 0.331 (last = 0.5000), fitness=0.037852185
199.74 secs, 2273 evals, 2135 steps, improv/step: 0.331 (last = 0.1429), fitness=0.037852185
200.29 secs, 2280 evals, 2142 steps, improv/step: 0.330 (last = 0.0000), fitness=0.037852185
200.85 secs, 2287 evals, 2149 steps, improv/step: 0.329 (last = 0.2857), fitness=0.037852185
201.37 secs, 2293 evals, 2155 steps, improv/step: 0.329 (last = 0.0000), fitness=0.037852185
201.87 secs, 2299 evals, 2161 steps, improv/step: 0.328 (last = 0.0000), fitness=0.037852185
202.43 secs, 2306 evals, 2168 steps, improv/step: 0.327 (last = 0.1429), fitness=0.037852185
202.96 secs, 2312 evals, 2174 steps, improv/step: 0.326 (last = 0.0000), fitness=0.037852185
203.50 secs, 2318 evals, 2180 steps, improv/step: 0.326 (last = 0.1667), fitness=0.037852185
204.04 secs, 2324 evals, 2186 steps, improv/step: 0.326 (last = 0.3333), fitness=0.037852185
204.60 secs, 2330 evals, 2192 steps, improv/step: 0.325 (last = 0.1667), fitness=0.037852185
205.18 secs, 2336 evals, 2198 steps, improv/step: 0.325 (last = 0.1667), fitness=0.037852185
205.72 secs, 2342 evals, 2204 steps, improv/step: 0.325 (last = 0.3333), fitness=0.037852185
206.26 secs, 2348 evals, 2210 steps, improv/step: 0.324 (last = 0.1667), fitness=0.037852185
206.80 secs, 2354 evals, 2216 steps, improv/step: 0.324 (last = 0.3333), fitness=0.037852185
207.36 secs, 2360 evals, 2222 steps, improv/step: 0.324 (last = 0.0000), fitness=0.037852185
207.91 secs, 2366 evals, 2228 steps, improv/step: 0.323 (last = 0.0000), fitness=0.037852185
208.45 secs, 2372 evals, 2234 steps, improv/step: 0.322 (last = 0.1667), fitness=0.037852185
208.99 secs, 2378 evals, 2240 steps, improv/step: 0.322 (last = 0.1667), fitness=0.037852185
209.53 secs, 2384 evals, 2246 steps, improv/step: 0.321 (last = 0.1667), fitness=0.037852185
210.06 secs, 2390 evals, 2252 steps, improv/step: 0.322 (last = 0.5000), fitness=0.037852185
210.58 secs, 2396 evals, 2258 steps, improv/step: 0.322 (last = 0.1667), fitness=0.037852185
211.14 secs, 2402 evals, 2264 steps, improv/step: 0.321 (last = 0.0000), fitness=0.037852185
211.70 secs, 2408 evals, 2270 steps, improv/step: 0.321 (last = 0.5000), fitness=0.037852185
212.26 secs, 2414 evals, 2276 steps, improv/step: 0.321 (last = 0.1667), fitness=0.037852185
212.83 secs, 2420 evals, 2282 steps, improv/step: 0.320 (last = 0.1667), fitness=0.037852185
213.39 secs, 2426 evals, 2288 steps, improv/step: 0.320 (last = 0.1667), fitness=0.037852185
213.95 secs, 2432 evals, 2294 steps, improv/step: 0.320 (last = 0.3333), fitness=0.037852185
214.52 secs, 2438 evals, 2300 steps, improv/step: 0.320 (last = 0.3333), fitness=0.037852185
215.06 secs, 2444 evals, 2306 steps, improv/step: 0.320 (last = 0.1667), fitness=0.037852185
215.59 secs, 2450 evals, 2312 steps, improv/step: 0.319 (last = 0.0000), fitness=0.037852185
216.13 secs, 2456 evals, 2318 steps, improv/step: 0.319 (last = 0.3333), fitness=0.037852185
216.65 secs, 2462 evals, 2324 steps, improv/step: 0.319 (last = 0.3333), fitness=0.037852185
217.17 secs, 2468 evals, 2330 steps, improv/step: 0.318 (last = 0.1667), fitness=0.037852185
217.68 secs, 2474 evals, 2336 steps, improv/step: 0.318 (last = 0.3333), fitness=0.037852185
218.22 secs, 2480 evals, 2342 steps, improv/step: 0.318 (last = 0.0000), fitness=0.037852185
218.74 secs, 2486 evals, 2348 steps, improv/step: 0.318 (last = 0.3333), fitness=0.037852185
219.26 secs, 2492 evals, 2354 steps, improv/step: 0.318 (last = 0.3333), fitness=0.037852185
219.80 secs, 2498 evals, 2360 steps, improv/step: 0.318 (last = 0.3333), fitness=0.037852185
220.33 secs, 2504 evals, 2366 steps, improv/step: 0.317 (last = 0.1667), fitness=0.037852185
220.86 secs, 2510 evals, 2372 steps, improv/step: 0.317 (last = 0.1667), fitness=0.037852185
221.41 secs, 2516 evals, 2378 steps, improv/step: 0.317 (last = 0.1667), fitness=0.037852185
221.94 secs, 2522 evals, 2384 steps, improv/step: 0.317 (last = 0.5000), fitness=0.037852185
222.51 secs, 2529 evals, 2391 steps, improv/step: 0.317 (last = 0.2857), fitness=0.037852185
223.08 secs, 2536 evals, 2398 steps, improv/step: 0.317 (last = 0.2857), fitness=0.037852185
223.66 secs, 2543 evals, 2405 steps, improv/step: 0.316 (last = 0.1429), fitness=0.037852185
224.25 secs, 2550 evals, 2412 steps, improv/step: 0.316 (last = 0.1429), fitness=0.037852185
224.78 secs, 2556 evals, 2418 steps, improv/step: 0.315 (last = 0.0000), fitness=0.037852185
225.36 secs, 2563 evals, 2425 steps, improv/step: 0.315 (last = 0.2857), fitness=0.037852185
225.91 secs, 2569 evals, 2431 steps, improv/step: 0.315 (last = 0.1667), fitness=0.037852185
226.46 secs, 2575 evals, 2437 steps, improv/step: 0.314 (last = 0.1667), fitness=0.037852185
227.02 secs, 2581 evals, 2443 steps, improv/step: 0.314 (last = 0.0000), fitness=0.037852185
227.56 secs, 2587 evals, 2449 steps, improv/step: 0.313 (last = 0.1667), fitness=0.037852185
228.15 secs, 2593 evals, 2455 steps, improv/step: 0.313 (last = 0.1667), fitness=0.037852185
228.67 secs, 2599 evals, 2461 steps, improv/step: 0.312 (last = 0.1667), fitness=0.037852185
229.24 secs, 2606 evals, 2468 steps, improv/step: 0.312 (last = 0.0000), fitness=0.037852185
229.83 secs, 2613 evals, 2475 steps, improv/step: 0.311 (last = 0.0000), fitness=0.037852185
230.40 secs, 2620 evals, 2482 steps, improv/step: 0.310 (last = 0.1429), fitness=0.037852185
230.91 secs, 2626 evals, 2488 steps, improv/step: 0.310 (last = 0.3333), fitness=0.037852185
231.48 secs, 2633 evals, 2495 steps, improv/step: 0.310 (last = 0.2857), fitness=0.037852185
231.98 secs, 2639 evals, 2501 steps, improv/step: 0.310 (last = 0.1667), fitness=0.037852185
232.55 secs, 2646 evals, 2508 steps, improv/step: 0.310 (last = 0.2857), fitness=0.037852185
233.11 secs, 2653 evals, 2515 steps, improv/step: 0.309 (last = 0.0000), fitness=0.037852185
233.68 secs, 2660 evals, 2522 steps, improv/step: 0.309 (last = 0.2857), fitness=0.037852185
234.25 secs, 2667 evals, 2529 steps, improv/step: 0.308 (last = 0.0000), fitness=0.037852185
234.81 secs, 2674 evals, 2536 steps, improv/step: 0.307 (last = 0.0000), fitness=0.037852185
235.39 secs, 2681 evals, 2543 steps, improv/step: 0.307 (last = 0.1429), fitness=0.037852185
235.95 secs, 2687 evals, 2549 steps, improv/step: 0.306 (last = 0.0000), fitness=0.037852185
236.48 secs, 2693 evals, 2555 steps, improv/step: 0.305 (last = 0.0000), fitness=0.037852185
237.01 secs, 2699 evals, 2561 steps, improv/step: 0.305 (last = 0.1667), fitness=0.037852185
237.58 secs, 2705 evals, 2567 steps, improv/step: 0.304 (last = 0.0000), fitness=0.037852185
238.15 secs, 2711 evals, 2573 steps, improv/step: 0.304 (last = 0.0000), fitness=0.037852185
238.67 secs, 2717 evals, 2579 steps, improv/step: 0.304 (last = 0.3333), fitness=0.037852185
239.24 secs, 2724 evals, 2586 steps, improv/step: 0.303 (last = 0.1429), fitness=0.037852185
239.81 secs, 2731 evals, 2594 steps, improv/step: 0.302 (last = 0.0000), fitness=0.037852185
240.37 secs, 2738 evals, 2601 steps, improv/step: 0.301 (last = 0.0000), fitness=0.037852185
240.96 secs, 2745 evals, 2608 steps, improv/step: 0.301 (last = 0.2857), fitness=0.037852185
241.47 secs, 2751 evals, 2614 steps, improv/step: 0.301 (last = 0.0000), fitness=0.037852185
242.04 secs, 2758 evals, 2621 steps, improv/step: 0.301 (last = 0.2857), fitness=0.037852185
242.56 secs, 2764 evals, 2627 steps, improv/step: 0.300 (last = 0.1667), fitness=0.037852185
243.08 secs, 2770 evals, 2633 steps, improv/step: 0.300 (last = 0.1667), fitness=0.037852185
243.62 secs, 2776 evals, 2639 steps, improv/step: 0.299 (last = 0.0000), fitness=0.037852185
244.17 secs, 2782 evals, 2645 steps, improv/step: 0.299 (last = 0.1667), fitness=0.037852185
244.71 secs, 2788 evals, 2651 steps, improv/step: 0.299 (last = 0.1667), fitness=0.037852185
245.27 secs, 2794 evals, 2657 steps, improv/step: 0.299 (last = 0.3333), fitness=0.037852185
245.82 secs, 2800 evals, 2663 steps, improv/step: 0.299 (last = 0.3333), fitness=0.037852185
246.37 secs, 2806 evals, 2669 steps, improv/step: 0.298 (last = 0.0000), fitness=0.037852185
246.92 secs, 2812 evals, 2675 steps, improv/step: 0.298 (last = 0.0000), fitness=0.037852185
247.47 secs, 2818 evals, 2681 steps, improv/step: 0.297 (last = 0.1667), fitness=0.037852185
248.05 secs, 2824 evals, 2687 steps, improv/step: 0.297 (last = 0.1667), fitness=0.037852185
248.60 secs, 2830 evals, 2693 steps, improv/step: 0.296 (last = 0.0000), fitness=0.037852185
249.15 secs, 2836 evals, 2699 steps, improv/step: 0.296 (last = 0.0000), fitness=0.037852185
249.70 secs, 2842 evals, 2705 steps, improv/step: 0.296 (last = 0.3333), fitness=0.037852185
250.26 secs, 2848 evals, 2711 steps, improv/step: 0.296 (last = 0.3333), fitness=0.037852185
250.80 secs, 2854 evals, 2717 steps, improv/step: 0.295 (last = 0.0000), fitness=0.037852185
251.35 secs, 2860 evals, 2723 steps, improv/step: 0.295 (last = 0.1667), fitness=0.037852185
251.92 secs, 2866 evals, 2729 steps, improv/step: 0.295 (last = 0.1667), fitness=0.037852185
252.50 secs, 2872 evals, 2735 steps, improv/step: 0.294 (last = 0.1667), fitness=0.037852185
253.06 secs, 2878 evals, 2741 steps, improv/step: 0.294 (last = 0.1667), fitness=0.037852185
253.64 secs, 2884 evals, 2747 steps, improv/step: 0.293 (last = 0.0000), fitness=0.037852185
254.21 secs, 2890 evals, 2753 steps, improv/step: 0.293 (last = 0.1667), fitness=0.037852185
254.80 secs, 2896 evals, 2759 steps, improv/step: 0.293 (last = 0.1667), fitness=0.037852185
255.36 secs, 2902 evals, 2765 steps, improv/step: 0.294 (last = 0.6667), fitness=0.037852185
255.92 secs, 2908 evals, 2771 steps, improv/step: 0.294 (last = 0.5000), fitness=0.037852185
256.46 secs, 2914 evals, 2777 steps, improv/step: 0.295 (last = 0.5000), fitness=0.037852185
257.03 secs, 2920 evals, 2783 steps, improv/step: 0.295 (last = 0.3333), fitness=0.037852185
257.58 secs, 2926 evals, 2789 steps, improv/step: 0.294 (last = 0.0000), fitness=0.037852185
258.11 secs, 2932 evals, 2795 steps, improv/step: 0.294 (last = 0.5000), fitness=0.037852185
258.65 secs, 2938 evals, 2801 steps, improv/step: 0.294 (last = 0.1667), fitness=0.037852185
259.23 secs, 2944 evals, 2807 steps, improv/step: 0.294 (last = 0.0000), fitness=0.037852185
259.79 secs, 2950 evals, 2813 steps, improv/step: 0.294 (last = 0.3333), fitness=0.037852185
260.34 secs, 2956 evals, 2819 steps, improv/step: 0.293 (last = 0.1667), fitness=0.037852185
260.90 secs, 2962 evals, 2825 steps, improv/step: 0.293 (last = 0.1667), fitness=0.037852185
261.45 secs, 2968 evals, 2831 steps, improv/step: 0.292 (last = 0.0000), fitness=0.037852185
261.99 secs, 2974 evals, 2837 steps, improv/step: 0.293 (last = 0.3333), fitness=0.037852185
262.55 secs, 2980 evals, 2843 steps, improv/step: 0.292 (last = 0.0000), fitness=0.037852185
263.10 secs, 2986 evals, 2849 steps, improv/step: 0.292 (last = 0.1667), fitness=0.037852185
263.65 secs, 2992 evals, 2855 steps, improv/step: 0.292 (last = 0.3333), fitness=0.037852185
264.22 secs, 2998 evals, 2861 steps, improv/step: 0.292 (last = 0.1667), fitness=0.037852185
264.78 secs, 3004 evals, 2867 steps, improv/step: 0.292 (last = 0.3333), fitness=0.037852185
265.34 secs, 3010 evals, 2873 steps, improv/step: 0.291 (last = 0.1667), fitness=0.037852185
265.91 secs, 3016 evals, 2879 steps, improv/step: 0.292 (last = 0.5000), fitness=0.037852185
266.48 secs, 3022 evals, 2885 steps, improv/step: 0.291 (last = 0.0000), fitness=0.037852185
267.05 secs, 3028 evals, 2891 steps, improv/step: 0.291 (last = 0.0000), fitness=0.037852185
267.62 secs, 3034 evals, 2897 steps, improv/step: 0.290 (last = 0.1667), fitness=0.037852185
268.16 secs, 3040 evals, 2903 steps, improv/step: 0.290 (last = 0.1667), fitness=0.037852185
268.71 secs, 3046 evals, 2909 steps, improv/step: 0.289 (last = 0.0000), fitness=0.037852185
269.24 secs, 3052 evals, 2915 steps, improv/step: 0.289 (last = 0.1667), fitness=0.037852185
269.76 secs, 3058 evals, 2921 steps, improv/step: 0.289 (last = 0.1667), fitness=0.037852185
270.29 secs, 3064 evals, 2927 steps, improv/step: 0.289 (last = 0.3333), fitness=0.037852185
270.83 secs, 3070 evals, 2933 steps, improv/step: 0.288 (last = 0.0000), fitness=0.037852185
271.36 secs, 3076 evals, 2939 steps, improv/step: 0.288 (last = 0.1667), fitness=0.037852185
271.86 secs, 3082 evals, 2945 steps, improv/step: 0.288 (last = 0.0000), fitness=0.037852185
272.44 secs, 3089 evals, 2952 steps, improv/step: 0.288 (last = 0.2857), fitness=0.037852185
273.02 secs, 3096 evals, 2959 steps, improv/step: 0.287 (last = 0.1429), fitness=0.037852185
273.53 secs, 3102 evals, 2965 steps, improv/step: 0.287 (last = 0.3333), fitness=0.037852185
274.06 secs, 3108 evals, 2971 steps, improv/step: 0.288 (last = 0.5000), fitness=0.037852185
274.64 secs, 3115 evals, 2978 steps, improv/step: 0.288 (last = 0.4286), fitness=0.037852185
275.19 secs, 3121 evals, 2984 steps, improv/step: 0.288 (last = 0.0000), fitness=0.037852185
275.75 secs, 3127 evals, 2990 steps, improv/step: 0.287 (last = 0.1667), fitness=0.037852185
276.30 secs, 3133 evals, 2996 steps, improv/step: 0.287 (last = 0.0000), fitness=0.037852185
276.85 secs, 3139 evals, 3002 steps, improv/step: 0.286 (last = 0.1667), fitness=0.037852185
277.43 secs, 3145 evals, 3008 steps, improv/step: 0.287 (last = 0.5000), fitness=0.037852185
277.95 secs, 3151 evals, 3014 steps, improv/step: 0.287 (last = 0.1667), fitness=0.037852185
278.52 secs, 3158 evals, 3021 steps, improv/step: 0.286 (last = 0.1429), fitness=0.037852185
279.09 secs, 3165 evals, 3028 steps, improv/step: 0.286 (last = 0.2857), fitness=0.037852185
279.61 secs, 3171 evals, 3034 steps, improv/step: 0.286 (last = 0.3333), fitness=0.037852185
280.12 secs, 3177 evals, 3040 steps, improv/step: 0.286 (last = 0.0000), fitness=0.037852185
280.69 secs, 3184 evals, 3047 steps, improv/step: 0.285 (last = 0.0000), fitness=0.037852185
281.25 secs, 3191 evals, 3054 steps, improv/step: 0.285 (last = 0.2857), fitness=0.037852185
281.82 secs, 3198 evals, 3061 steps, improv/step: 0.285 (last = 0.1429), fitness=0.037852185
282.37 secs, 3205 evals, 3068 steps, improv/step: 0.285 (last = 0.1429), fitness=0.037852185
282.93 secs, 3212 evals, 3075 steps, improv/step: 0.285 (last = 0.2857), fitness=0.037852185
283.50 secs, 3219 evals, 3082 steps, improv/step: 0.284 (last = 0.0000), fitness=0.037852185
284.05 secs, 3226 evals, 3089 steps, improv/step: 0.284 (last = 0.1429), fitness=0.037852185
284.57 secs, 3232 evals, 3095 steps, improv/step: 0.284 (last = 0.5000), fitness=0.037852185
285.09 secs, 3238 evals, 3101 steps, improv/step: 0.284 (last = 0.3333), fitness=0.037852185
285.62 secs, 3244 evals, 3107 steps, improv/step: 0.284 (last = 0.3333), fitness=0.037852185
286.19 secs, 3250 evals, 3113 steps, improv/step: 0.284 (last = 0.0000), fitness=0.037852185
286.76 secs, 3256 evals, 3119 steps, improv/step: 0.283 (last = 0.1667), fitness=0.037852185
287.27 secs, 3262 evals, 3125 steps, improv/step: 0.284 (last = 0.3333), fitness=0.037852185
287.84 secs, 3269 evals, 3132 steps, improv/step: 0.284 (last = 0.4286), fitness=0.037852185
288.39 secs, 3276 evals, 3139 steps, improv/step: 0.284 (last = 0.1429), fitness=0.037852185
288.96 secs, 3283 evals, 3146 steps, improv/step: 0.283 (last = 0.0000), fitness=0.037852185
289.47 secs, 3289 evals, 3152 steps, improv/step: 0.284 (last = 0.8333), fitness=0.037852185
290.05 secs, 3296 evals, 3159 steps, improv/step: 0.283 (last = 0.0000), fitness=0.037852185
290.61 secs, 3303 evals, 3166 steps, improv/step: 0.283 (last = 0.1429), fitness=0.037852185
291.20 secs, 3310 evals, 3173 steps, improv/step: 0.283 (last = 0.2857), fitness=0.037852185
291.71 secs, 3316 evals, 3179 steps, improv/step: 0.283 (last = 0.1667), fitness=0.037852185
292.25 secs, 3322 evals, 3185 steps, improv/step: 0.283 (last = 0.1667), fitness=0.037852185
292.79 secs, 3328 evals, 3191 steps, improv/step: 0.283 (last = 0.5000), fitness=0.037852185
293.37 secs, 3334 evals, 3197 steps, improv/step: 0.282 (last = 0.0000), fitness=0.037852185
293.93 secs, 3340 evals, 3203 steps, improv/step: 0.282 (last = 0.1667), fitness=0.037852185
294.49 secs, 3346 evals, 3209 steps, improv/step: 0.282 (last = 0.1667), fitness=0.037852185
295.05 secs, 3352 evals, 3215 steps, improv/step: 0.282 (last = 0.1667), fitness=0.037852185
295.63 secs, 3358 evals, 3221 steps, improv/step: 0.282 (last = 0.1667), fitness=0.037852185
296.17 secs, 3364 evals, 3227 steps, improv/step: 0.281 (last = 0.0000), fitness=0.037852185
296.70 secs, 3370 evals, 3233 steps, improv/step: 0.281 (last = 0.5000), fitness=0.037852185
297.26 secs, 3376 evals, 3239 steps, improv/step: 0.281 (last = 0.1667), fitness=0.037852185
297.84 secs, 3382 evals, 3245 steps, improv/step: 0.281 (last = 0.0000), fitness=0.037852185
298.40 secs, 3388 evals, 3251 steps, improv/step: 0.280 (last = 0.0000), fitness=0.037852185
298.96 secs, 3394 evals, 3257 steps, improv/step: 0.280 (last = 0.0000), fitness=0.037852185
299.52 secs, 3400 evals, 3263 steps, improv/step: 0.279 (last = 0.1667), fitness=0.037852185
300.09 secs, 3406 evals, 3269 steps, improv/step: 0.280 (last = 0.3333), fitness=0.037852185
300.66 secs, 3412 evals, 3275 steps, improv/step: 0.279 (last = 0.1667), fitness=0.037852185
301.23 secs, 3418 evals, 3281 steps, improv/step: 0.279 (last = 0.1667), fitness=0.037852185
301.80 secs, 3424 evals, 3287 steps, improv/step: 0.279 (last = 0.3333), fitness=0.037852185
302.38 secs, 3430 evals, 3293 steps, improv/step: 0.279 (last = 0.1667), fitness=0.037852185
302.94 secs, 3436 evals, 3299 steps, improv/step: 0.279 (last = 0.1667), fitness=0.037852185
303.50 secs, 3442 evals, 3305 steps, improv/step: 0.279 (last = 0.3333), fitness=0.037852185
304.06 secs, 3448 evals, 3311 steps, improv/step: 0.279 (last = 0.3333), fitness=0.037852185
304.63 secs, 3454 evals, 3317 steps, improv/step: 0.279 (last = 0.1667), fitness=0.037852185
305.19 secs, 3460 evals, 3323 steps, improv/step: 0.279 (last = 0.3333), fitness=0.037852185
305.75 secs, 3466 evals, 3329 steps, improv/step: 0.279 (last = 0.1667), fitness=0.037852185
306.33 secs, 3472 evals, 3335 steps, improv/step: 0.279 (last = 0.5000), fitness=0.037852185
306.89 secs, 3478 evals, 3341 steps, improv/step: 0.279 (last = 0.0000), fitness=0.037852185
307.45 secs, 3484 evals, 3347 steps, improv/step: 0.278 (last = 0.1667), fitness=0.037852185
308.03 secs, 3490 evals, 3354 steps, improv/step: 0.278 (last = 0.1429), fitness=0.037852185
308.60 secs, 3496 evals, 3360 steps, improv/step: 0.279 (last = 0.5000), fitness=0.037852185
309.17 secs, 3502 evals, 3366 steps, improv/step: 0.278 (last = 0.0000), fitness=0.037852185
309.73 secs, 3508 evals, 3372 steps, improv/step: 0.278 (last = 0.3333), fitness=0.037852185
310.29 secs, 3514 evals, 3378 steps, improv/step: 0.278 (last = 0.1667), fitness=0.037852185
310.86 secs, 3520 evals, 3384 steps, improv/step: 0.278 (last = 0.3333), fitness=0.037852185
311.42 secs, 3526 evals, 3390 steps, improv/step: 0.278 (last = 0.3333), fitness=0.037852185
311.98 secs, 3532 evals, 3396 steps, improv/step: 0.278 (last = 0.3333), fitness=0.037852185
312.53 secs, 3538 evals, 3402 steps, improv/step: 0.278 (last = 0.1667), fitness=0.037852185
313.07 secs, 3544 evals, 3408 steps, improv/step: 0.278 (last = 0.0000), fitness=0.037852185
313.61 secs, 3550 evals, 3414 steps, improv/step: 0.278 (last = 0.3333), fitness=0.037852185
314.16 secs, 3556 evals, 3420 steps, improv/step: 0.277 (last = 0.1667), fitness=0.037852185
314.73 secs, 3562 evals, 3426 steps, improv/step: 0.278 (last = 0.3333), fitness=0.037852185
315.28 secs, 3568 evals, 3432 steps, improv/step: 0.277 (last = 0.1667), fitness=0.037852185
315.84 secs, 3574 evals, 3438 steps, improv/step: 0.277 (last = 0.3333), fitness=0.037852185
316.40 secs, 3580 evals, 3444 steps, improv/step: 0.278 (last = 0.5000), fitness=0.037852185
316.97 secs, 3586 evals, 3450 steps, improv/step: 0.278 (last = 0.3333), fitness=0.037852185
317.54 secs, 3592 evals, 3456 steps, improv/step: 0.278 (last = 0.1667), fitness=0.037852185
318.10 secs, 3598 evals, 3462 steps, improv/step: 0.278 (last = 0.3333), fitness=0.037852185
318.67 secs, 3604 evals, 3468 steps, improv/step: 0.278 (last = 0.3333), fitness=0.037852185
319.21 secs, 3610 evals, 3474 steps, improv/step: 0.278 (last = 0.1667), fitness=0.037852185
319.78 secs, 3616 evals, 3480 steps, improv/step: 0.278 (last = 0.3333), fitness=0.037852185
320.31 secs, 3622 evals, 3486 steps, improv/step: 0.278 (last = 0.5000), fitness=0.037852185
320.85 secs, 3628 evals, 3492 steps, improv/step: 0.278 (last = 0.1667), fitness=0.037852185
321.41 secs, 3634 evals, 3498 steps, improv/step: 0.278 (last = 0.5000), fitness=0.037852185
321.98 secs, 3640 evals, 3504 steps, improv/step: 0.279 (last = 0.3333), fitness=0.037852185
322.54 secs, 3646 evals, 3510 steps, improv/step: 0.278 (last = 0.0000), fitness=0.037852185
323.10 secs, 3652 evals, 3516 steps, improv/step: 0.278 (last = 0.1667), fitness=0.037852185
323.66 secs, 3658 evals, 3522 steps, improv/step: 0.278 (last = 0.3333), fitness=0.037852185
324.23 secs, 3664 evals, 3528 steps, improv/step: 0.278 (last = 0.1667), fitness=0.037852185
324.79 secs, 3670 evals, 3534 steps, improv/step: 0.278 (last = 0.3333), fitness=0.037852185
325.33 secs, 3676 evals, 3540 steps, improv/step: 0.278 (last = 0.5000), fitness=0.037852185
325.90 secs, 3682 evals, 3546 steps, improv/step: 0.279 (last = 0.5000), fitness=0.037852185
326.45 secs, 3688 evals, 3552 steps, improv/step: 0.278 (last = 0.0000), fitness=0.037852185
326.98 secs, 3694 evals, 3558 steps, improv/step: 0.278 (last = 0.0000), fitness=0.037852185
327.54 secs, 3700 evals, 3564 steps, improv/step: 0.278 (last = 0.3333), fitness=0.037852185
328.09 secs, 3706 evals, 3570 steps, improv/step: 0.278 (last = 0.5000), fitness=0.037852185
328.64 secs, 3712 evals, 3576 steps, improv/step: 0.278 (last = 0.3333), fitness=0.037852185
329.20 secs, 3718 evals, 3582 steps, improv/step: 0.278 (last = 0.1667), fitness=0.037852185
329.75 secs, 3724 evals, 3588 steps, improv/step: 0.278 (last = 0.1667), fitness=0.037852185
330.32 secs, 3730 evals, 3594 steps, improv/step: 0.278 (last = 0.1667), fitness=0.037852185
330.88 secs, 3736 evals, 3600 steps, improv/step: 0.278 (last = 0.3333), fitness=0.037852185
331.44 secs, 3742 evals, 3606 steps, improv/step: 0.278 (last = 0.3333), fitness=0.037852185
332.00 secs, 3748 evals, 3612 steps, improv/step: 0.279 (last = 0.6667), fitness=0.037852185
332.56 secs, 3754 evals, 3618 steps, improv/step: 0.279 (last = 0.3333), fitness=0.037852185
333.12 secs, 3760 evals, 3624 steps, improv/step: 0.279 (last = 0.3333), fitness=0.037852185
333.67 secs, 3766 evals, 3630 steps, improv/step: 0.279 (last = 0.5000), fitness=0.037852185
334.24 secs, 3772 evals, 3636 steps, improv/step: 0.279 (last = 0.0000), fitness=0.037852185
334.80 secs, 3778 evals, 3642 steps, improv/step: 0.278 (last = 0.1667), fitness=0.037852185
335.37 secs, 3784 evals, 3648 steps, improv/step: 0.278 (last = 0.1667), fitness=0.037852185
335.94 secs, 3790 evals, 3654 steps, improv/step: 0.278 (last = 0.1667), fitness=0.037852185
336.50 secs, 3796 evals, 3660 steps, improv/step: 0.278 (last = 0.0000), fitness=0.037852185
337.06 secs, 3802 evals, 3666 steps, improv/step: 0.277 (last = 0.1667), fitness=0.037852185
337.63 secs, 3808 evals, 3672 steps, improv/step: 0.278 (last = 0.5000), fitness=0.037852185
338.17 secs, 3814 evals, 3678 steps, improv/step: 0.278 (last = 0.3333), fitness=0.037852185
338.74 secs, 3820 evals, 3684 steps, improv/step: 0.279 (last = 0.8333), fitness=0.037852185
339.29 secs, 3826 evals, 3690 steps, improv/step: 0.279 (last = 0.5000), fitness=0.037852185
339.83 secs, 3832 evals, 3696 steps, improv/step: 0.279 (last = 0.3333), fitness=0.037852185
340.38 secs, 3838 evals, 3702 steps, improv/step: 0.279 (last = 0.1667), fitness=0.037852185
340.95 secs, 3844 evals, 3708 steps, improv/step: 0.279 (last = 0.3333), fitness=0.037852185
341.51 secs, 3850 evals, 3714 steps, improv/step: 0.279 (last = 0.5000), fitness=0.037852185
342.05 secs, 3856 evals, 3720 steps, improv/step: 0.280 (last = 0.6667), fitness=0.037852185
342.60 secs, 3862 evals, 3726 steps, improv/step: 0.280 (last = 0.1667), fitness=0.037852185
343.16 secs, 3868 evals, 3732 steps, improv/step: 0.280 (last = 0.1667), fitness=0.037852185
343.72 secs, 3874 evals, 3738 steps, improv/step: 0.280 (last = 0.5000), fitness=0.037852185
344.28 secs, 3880 evals, 3744 steps, improv/step: 0.280 (last = 0.3333), fitness=0.037852185
344.84 secs, 3886 evals, 3750 steps, improv/step: 0.280 (last = 0.3333), fitness=0.037852185
345.36 secs, 3891 evals, 3755 steps, improv/step: 0.280 (last = 0.2000), fitness=0.037852185
345.93 secs, 3897 evals, 3761 steps, improv/step: 0.280 (last = 0.3333), fitness=0.037852185
346.49 secs, 3903 evals, 3767 steps, improv/step: 0.280 (last = 0.1667), fitness=0.037852185
347.06 secs, 3909 evals, 3773 steps, improv/step: 0.280 (last = 0.1667), fitness=0.037852185
347.63 secs, 3915 evals, 3779 steps, improv/step: 0.280 (last = 0.1667), fitness=0.037852185
348.20 secs, 3921 evals, 3785 steps, improv/step: 0.280 (last = 0.5000), fitness=0.037852185
348.76 secs, 3927 evals, 3791 steps, improv/step: 0.280 (last = 0.1667), fitness=0.037852185
349.30 secs, 3933 evals, 3797 steps, improv/step: 0.280 (last = 0.3333), fitness=0.037852185
349.85 secs, 3939 evals, 3803 steps, improv/step: 0.280 (last = 0.5000), fitness=0.037852185
350.40 secs, 3945 evals, 3809 steps, improv/step: 0.281 (last = 0.5000), fitness=0.037852185
350.95 secs, 3951 evals, 3815 steps, improv/step: 0.281 (last = 0.5000), fitness=0.037852185
351.50 secs, 3957 evals, 3821 steps, improv/step: 0.281 (last = 0.1667), fitness=0.037852185
352.06 secs, 3963 evals, 3827 steps, improv/step: 0.281 (last = 0.1667), fitness=0.037852185
352.60 secs, 3969 evals, 3833 steps, improv/step: 0.281 (last = 0.3333), fitness=0.037852185
353.14 secs, 3975 evals, 3839 steps, improv/step: 0.280 (last = 0.0000), fitness=0.037852185
353.69 secs, 3981 evals, 3845 steps, improv/step: 0.281 (last = 0.5000), fitness=0.037852185
354.23 secs, 3987 evals, 3851 steps, improv/step: 0.281 (last = 0.5000), fitness=0.037852185
354.75 secs, 3993 evals, 3857 steps, improv/step: 0.281 (last = 0.3333), fitness=0.037852185
355.27 secs, 3999 evals, 3863 steps, improv/step: 0.281 (last = 0.3333), fitness=0.037852185
355.86 secs, 4006 evals, 3870 steps, improv/step: 0.281 (last = 0.4286), fitness=0.037852185
356.36 secs, 4012 evals, 3876 steps, improv/step: 0.282 (last = 0.5000), fitness=0.037852185
356.91 secs, 4018 evals, 3882 steps, improv/step: 0.282 (last = 0.3333), fitness=0.037852185
357.48 secs, 4024 evals, 3888 steps, improv/step: 0.282 (last = 0.1667), fitness=0.037852185
358.05 secs, 4030 evals, 3894 steps, improv/step: 0.281 (last = 0.1667), fitness=0.037852185
358.61 secs, 4036 evals, 3900 steps, improv/step: 0.282 (last = 0.5000), fitness=0.037852185
359.18 secs, 4042 evals, 3906 steps, improv/step: 0.282 (last = 0.5000), fitness=0.037852185
359.75 secs, 4048 evals, 3912 steps, improv/step: 0.282 (last = 0.1667), fitness=0.037852185
360.28 secs, 4054 evals, 3918 steps, improv/step: 0.282 (last = 0.0000), fitness=0.037852185
360.81 secs, 4060 evals, 3924 steps, improv/step: 0.281 (last = 0.1667), fitness=0.037852185
361.33 secs, 4066 evals, 3930 steps, improv/step: 0.281 (last = 0.3333), fitness=0.037852185
361.85 secs, 4072 evals, 3936 steps, improv/step: 0.281 (last = 0.1667), fitness=0.037852185
362.35 secs, 4078 evals, 3942 steps, improv/step: 0.281 (last = 0.3333), fitness=0.037852185
362.93 secs, 4085 evals, 3949 steps, improv/step: 0.282 (last = 0.4286), fitness=0.037852185
363.49 secs, 4092 evals, 3956 steps, improv/step: 0.282 (last = 0.4286), fitness=0.037852185
364.09 secs, 4099 evals, 3963 steps, improv/step: 0.282 (last = 0.5714), fitness=0.037852185
364.65 secs, 4105 evals, 3969 steps, improv/step: 0.282 (last = 0.1667), fitness=0.037852185
365.20 secs, 4111 evals, 3975 steps, improv/step: 0.282 (last = 0.0000), fitness=0.037852185
365.77 secs, 4117 evals, 3981 steps, improv/step: 0.282 (last = 0.3333), fitness=0.037852185
366.36 secs, 4123 evals, 3987 steps, improv/step: 0.282 (last = 0.1667), fitness=0.037852185
366.92 secs, 4129 evals, 3993 steps, improv/step: 0.282 (last = 0.3333), fitness=0.037852185
367.45 secs, 4135 evals, 3999 steps, improv/step: 0.281 (last = 0.0000), fitness=0.037852185
367.97 secs, 4141 evals, 4005 steps, improv/step: 0.281 (last = 0.3333), fitness=0.037852185
368.50 secs, 4147 evals, 4011 steps, improv/step: 0.281 (last = 0.3333), fitness=0.037852185
369.03 secs, 4153 evals, 4017 steps, improv/step: 0.282 (last = 0.5000), fitness=0.037852185
369.55 secs, 4159 evals, 4023 steps, improv/step: 0.282 (last = 0.3333), fitness=0.037852185
370.07 secs, 4165 evals, 4029 steps, improv/step: 0.282 (last = 0.1667), fitness=0.037852185
370.61 secs, 4171 evals, 4035 steps, improv/step: 0.281 (last = 0.0000), fitness=0.037852185
371.15 secs, 4177 evals, 4041 steps, improv/step: 0.281 (last = 0.1667), fitness=0.037852185
371.68 secs, 4183 evals, 4047 steps, improv/step: 0.282 (last = 0.6667), fitness=0.037852185
372.26 secs, 4190 evals, 4054 steps, improv/step: 0.282 (last = 0.2857), fitness=0.037852185
372.84 secs, 4197 evals, 4061 steps, improv/step: 0.282 (last = 0.7143), fitness=0.037852185
373.40 secs, 4204 evals, 4068 steps, improv/step: 0.282 (last = 0.0000), fitness=0.037852185
373.90 secs, 4210 evals, 4074 steps, improv/step: 0.282 (last = 0.1667), fitness=0.037852185
374.43 secs, 4216 evals, 4080 steps, improv/step: 0.282 (last = 0.3333), fitness=0.037852185
375.01 secs, 4223 evals, 4087 steps, improv/step: 0.282 (last = 0.1429), fitness=0.037852185
375.53 secs, 4229 evals, 4093 steps, improv/step: 0.281 (last = 0.1667), fitness=0.037852185
376.10 secs, 4236 evals, 4100 steps, improv/step: 0.281 (last = 0.2857), fitness=0.037852185
376.61 secs, 4242 evals, 4106 steps, improv/step: 0.282 (last = 0.5000), fitness=0.037852185
377.18 secs, 4249 evals, 4113 steps, improv/step: 0.282 (last = 0.1429), fitness=0.037852185
377.70 secs, 4255 evals, 4119 steps, improv/step: 0.282 (last = 0.3333), fitness=0.037852185
378.20 secs, 4261 evals, 4125 steps, improv/step: 0.282 (last = 0.5000), fitness=0.037852185
378.77 secs, 4268 evals, 4132 steps, improv/step: 0.281 (last = 0.0000), fitness=0.037852185
379.34 secs, 4275 evals, 4139 steps, improv/step: 0.281 (last = 0.0000), fitness=0.037852185
379.91 secs, 4282 evals, 4146 steps, improv/step: 0.281 (last = 0.4286), fitness=0.037852185
380.49 secs, 4289 evals, 4153 steps, improv/step: 0.281 (last = 0.0000), fitness=0.037852185
381.06 secs, 4296 evals, 4160 steps, improv/step: 0.281 (last = 0.1429), fitness=0.037852185
381.64 secs, 4303 evals, 4167 steps, improv/step: 0.281 (last = 0.2857), fitness=0.037852185
382.21 secs, 4309 evals, 4173 steps, improv/step: 0.281 (last = 0.3333), fitness=0.037852185
382.75 secs, 4315 evals, 4179 steps, improv/step: 0.280 (last = 0.0000), fitness=0.037852185
383.28 secs, 4321 evals, 4185 steps, improv/step: 0.281 (last = 0.5000), fitness=0.037852185
383.83 secs, 4327 evals, 4191 steps, improv/step: 0.281 (last = 0.3333), fitness=0.037852185
384.40 secs, 4333 evals, 4197 steps, improv/step: 0.281 (last = 0.3333), fitness=0.037852185
384.97 secs, 4340 evals, 4204 steps, improv/step: 0.281 (last = 0.2857), fitness=0.037852185
385.53 secs, 4347 evals, 4211 steps, improv/step: 0.281 (last = 0.2857), fitness=0.037852185
386.11 secs, 4354 evals, 4218 steps, improv/step: 0.280 (last = 0.1429), fitness=0.037852185
386.69 secs, 4361 evals, 4225 steps, improv/step: 0.280 (last = 0.1429), fitness=0.037852185
387.19 secs, 4367 evals, 4231 steps, improv/step: 0.280 (last = 0.1667), fitness=0.037852185
387.76 secs, 4374 evals, 4238 steps, improv/step: 0.280 (last = 0.1429), fitness=0.037852185
388.34 secs, 4381 evals, 4245 steps, improv/step: 0.280 (last = 0.2857), fitness=0.037852185
388.86 secs, 4387 evals, 4251 steps, improv/step: 0.280 (last = 0.1667), fitness=0.037852185
389.40 secs, 4393 evals, 4257 steps, improv/step: 0.279 (last = 0.0000), fitness=0.037852185
389.93 secs, 4399 evals, 4263 steps, improv/step: 0.279 (last = 0.1667), fitness=0.037852185
390.48 secs, 4405 evals, 4269 steps, improv/step: 0.279 (last = 0.1667), fitness=0.037852185
390.98 secs, 4411 evals, 4275 steps, improv/step: 0.279 (last = 0.0000), fitness=0.037852185
391.49 secs, 4417 evals, 4281 steps, improv/step: 0.278 (last = 0.0000), fitness=0.037852185
392.01 secs, 4423 evals, 4287 steps, improv/step: 0.278 (last = 0.0000), fitness=0.037852185
392.51 secs, 4429 evals, 4293 steps, improv/step: 0.278 (last = 0.1667), fitness=0.037852185
393.08 secs, 4436 evals, 4300 steps, improv/step: 0.278 (last = 0.2857), fitness=0.037852185
393.65 secs, 4443 evals, 4307 steps, improv/step: 0.277 (last = 0.1429), fitness=0.037852185
394.22 secs, 4450 evals, 4314 steps, improv/step: 0.277 (last = 0.2857), fitness=0.037852185
394.75 secs, 4456 evals, 4320 steps, improv/step: 0.278 (last = 0.5000), fitness=0.037852185
395.28 secs, 4462 evals, 4327 steps, improv/step: 0.278 (last = 0.4286), fitness=0.037852185
395.85 secs, 4468 evals, 4333 steps, improv/step: 0.278 (last = 0.1667), fitness=0.037852185
396.43 secs, 4474 evals, 4339 steps, improv/step: 0.278 (last = 0.1667), fitness=0.037852185
396.95 secs, 4480 evals, 4345 steps, improv/step: 0.278 (last = 0.3333), fitness=0.037852185
397.46 secs, 4486 evals, 4351 steps, improv/step: 0.277 (last = 0.0000), fitness=0.037852185
397.98 secs, 4492 evals, 4357 steps, improv/step: 0.277 (last = 0.1667), fitness=0.037852185
398.51 secs, 4498 evals, 4363 steps, improv/step: 0.277 (last = 0.1667), fitness=0.037852185
399.05 secs, 4504 evals, 4369 steps, improv/step: 0.277 (last = 0.1667), fitness=0.037852185
399.62 secs, 4511 evals, 4376 steps, improv/step: 0.277 (last = 0.2857), fitness=0.037852185
400.13 secs, 4517 evals, 4382 steps, improv/step: 0.277 (last = 0.5000), fitness=0.037852185
400.68 secs, 4523 evals, 4388 steps, improv/step: 0.277 (last = 0.1667), fitness=0.037852185
401.23 secs, 4529 evals, 4394 steps, improv/step: 0.277 (last = 0.3333), fitness=0.037852185
401.80 secs, 4535 evals, 4400 steps, improv/step: 0.277 (last = 0.0000), fitness=0.037852185
402.37 secs, 4541 evals, 4406 steps, improv/step: 0.277 (last = 0.1667), fitness=0.037852185
402.94 secs, 4548 evals, 4413 steps, improv/step: 0.277 (last = 0.4286), fitness=0.037852185
403.50 secs, 4555 evals, 4420 steps, improv/step: 0.276 (last = 0.0000), fitness=0.037852185
404.00 secs, 4561 evals, 4426 steps, improv/step: 0.276 (last = 0.1667), fitness=0.037852185
404.50 secs, 4567 evals, 4432 steps, improv/step: 0.276 (last = 0.1667), fitness=0.037852185
405.08 secs, 4574 evals, 4439 steps, improv/step: 0.276 (last = 0.2857), fitness=0.037852185
405.64 secs, 4581 evals, 4446 steps, improv/step: 0.276 (last = 0.1429), fitness=0.037852185
406.22 secs, 4588 evals, 4453 steps, improv/step: 0.276 (last = 0.0000), fitness=0.037852185
406.79 secs, 4595 evals, 4460 steps, improv/step: 0.276 (last = 0.4286), fitness=0.037852185
407.36 secs, 4602 evals, 4467 steps, improv/step: 0.276 (last = 0.1429), fitness=0.037852185
407.94 secs, 4609 evals, 4474 steps, improv/step: 0.276 (last = 0.2857), fitness=0.037852185
408.50 secs, 4616 evals, 4481 steps, improv/step: 0.276 (last = 0.2857), fitness=0.037852185
409.07 secs, 4623 evals, 4488 steps, improv/step: 0.275 (last = 0.1429), fitness=0.037852185
409.60 secs, 4629 evals, 4494 steps, improv/step: 0.275 (last = 0.0000), fitness=0.037852185
410.13 secs, 4635 evals, 4500 steps, improv/step: 0.275 (last = 0.1667), fitness=0.037852185
410.67 secs, 4641 evals, 4506 steps, improv/step: 0.275 (last = 0.1667), fitness=0.037852185
411.24 secs, 4647 evals, 4512 steps, improv/step: 0.275 (last = 0.1667), fitness=0.037852185
411.81 secs, 4653 evals, 4518 steps, improv/step: 0.274 (last = 0.0000), fitness=0.037852185
412.31 secs, 4659 evals, 4524 steps, improv/step: 0.274 (last = 0.0000), fitness=0.037852185
412.87 secs, 4666 evals, 4531 steps, improv/step: 0.274 (last = 0.1429), fitness=0.037852185
413.44 secs, 4673 evals, 4538 steps, improv/step: 0.273 (last = 0.1429), fitness=0.037852185
414.01 secs, 4680 evals, 4545 steps, improv/step: 0.274 (last = 0.4286), fitness=0.037852185
414.53 secs, 4686 evals, 4551 steps, improv/step: 0.274 (last = 0.3333), fitness=0.037852185
415.10 secs, 4693 evals, 4558 steps, improv/step: 0.274 (last = 0.2857), fitness=0.037852185
415.68 secs, 4700 evals, 4565 steps, improv/step: 0.274 (last = 0.2857), fitness=0.037852185
416.21 secs, 4706 evals, 4571 steps, improv/step: 0.274 (last = 0.1667), fitness=0.037852185
416.75 secs, 4712 evals, 4577 steps, improv/step: 0.274 (last = 0.5000), fitness=0.037852185
417.30 secs, 4718 evals, 4583 steps, improv/step: 0.274 (last = 0.0000), fitness=0.037852185
417.85 secs, 4724 evals, 4589 steps, improv/step: 0.273 (last = 0.1667), fitness=0.037852185
418.43 secs, 4730 evals, 4595 steps, improv/step: 0.273 (last = 0.0000), fitness=0.037852185
418.98 secs, 4736 evals, 4601 steps, improv/step: 0.273 (last = 0.1667), fitness=0.037852185
419.56 secs, 4742 evals, 4607 steps, improv/step: 0.273 (last = 0.0000), fitness=0.037852185
420.13 secs, 4748 evals, 4613 steps, improv/step: 0.273 (last = 0.3333), fitness=0.037852185
420.69 secs, 4754 evals, 4619 steps, improv/step: 0.273 (last = 0.1667), fitness=0.037852185
421.25 secs, 4760 evals, 4625 steps, improv/step: 0.272 (last = 0.0000), fitness=0.037852185
421.78 secs, 4766 evals, 4631 steps, improv/step: 0.272 (last = 0.1667), fitness=0.037852185
422.28 secs, 4772 evals, 4637 steps, improv/step: 0.272 (last = 0.0000), fitness=0.037852185
422.85 secs, 4779 evals, 4644 steps, improv/step: 0.272 (last = 0.1429), fitness=0.037852185
423.38 secs, 4785 evals, 4650 steps, improv/step: 0.271 (last = 0.0000), fitness=0.037852185
423.94 secs, 4791 evals, 4656 steps, improv/step: 0.271 (last = 0.0000), fitness=0.037852185
424.50 secs, 4797 evals, 4662 steps, improv/step: 0.271 (last = 0.1667), fitness=0.037852185
425.05 secs, 4803 evals, 4668 steps, improv/step: 0.271 (last = 0.1667), fitness=0.037852185
425.59 secs, 4809 evals, 4674 steps, improv/step: 0.270 (last = 0.0000), fitness=0.037852185
426.15 secs, 4815 evals, 4680 steps, improv/step: 0.270 (last = 0.1667), fitness=0.037852185
426.72 secs, 4821 evals, 4686 steps, improv/step: 0.270 (last = 0.0000), fitness=0.037852185
427.27 secs, 4827 evals, 4692 steps, improv/step: 0.270 (last = 0.3333), fitness=0.037852185
427.81 secs, 4833 evals, 4698 steps, improv/step: 0.269 (last = 0.0000), fitness=0.037852185
428.37 secs, 4839 evals, 4704 steps, improv/step: 0.269 (last = 0.1667), fitness=0.037852185
428.93 secs, 4845 evals, 4710 steps, improv/step: 0.269 (last = 0.0000), fitness=0.037852185
429.49 secs, 4851 evals, 4716 steps, improv/step: 0.269 (last = 0.0000), fitness=0.037852185
430.04 secs, 4857 evals, 4722 steps, improv/step: 0.269 (last = 0.3333), fitness=0.037852185
430.57 secs, 4863 evals, 4728 steps, improv/step: 0.268 (last = 0.0000), fitness=0.037852185
431.13 secs, 4869 evals, 4734 steps, improv/step: 0.268 (last = 0.1667), fitness=0.037852185
431.67 secs, 4875 evals, 4740 steps, improv/step: 0.268 (last = 0.0000), fitness=0.037852185
432.23 secs, 4881 evals, 4746 steps, improv/step: 0.268 (last = 0.1667), fitness=0.037852185
432.81 secs, 4887 evals, 4752 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037852185
433.35 secs, 4893 evals, 4758 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037852185
433.87 secs, 4899 evals, 4764 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037852185
434.42 secs, 4905 evals, 4770 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037852185
434.99 secs, 4911 evals, 4776 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037852185
435.53 secs, 4917 evals, 4782 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037852185
436.07 secs, 4923 evals, 4788 steps, improv/step: 0.266 (last = 0.1667), fitness=0.037852185
436.62 secs, 4929 evals, 4794 steps, improv/step: 0.266 (last = 0.1667), fitness=0.037852185
437.18 secs, 4935 evals, 4800 steps, improv/step: 0.266 (last = 0.1667), fitness=0.037852185
437.73 secs, 4941 evals, 4806 steps, improv/step: 0.266 (last = 0.3333), fitness=0.037852185
438.28 secs, 4947 evals, 4812 steps, improv/step: 0.266 (last = 0.0000), fitness=0.037852185
438.84 secs, 4953 evals, 4818 steps, improv/step: 0.266 (last = 0.0000), fitness=0.037852185
439.40 secs, 4959 evals, 4824 steps, improv/step: 0.265 (last = 0.0000), fitness=0.037852185
439.93 secs, 4965 evals, 4830 steps, improv/step: 0.265 (last = 0.0000), fitness=0.037852185
440.46 secs, 4973 evals, 4838 steps, improv/step: 0.265 (last = 0.1250), fitness=0.037852185
441.01 secs, 4981 evals, 4846 steps, improv/step: 0.264 (last = 0.0000), fitness=0.037852185
441.54 secs, 4989 evals, 4854 steps, improv/step: 0.264 (last = 0.2500), fitness=0.037852185
442.08 secs, 4997 evals, 4862 steps, improv/step: 0.264 (last = 0.1250), fitness=0.037852185
442.59 secs, 5004 evals, 4869 steps, improv/step: 0.264 (last = 0.0000), fitness=0.037852185
443.15 secs, 5010 evals, 4875 steps, improv/step: 0.264 (last = 0.1667), fitness=0.037852185
443.71 secs, 5016 evals, 4881 steps, improv/step: 0.264 (last = 0.3333), fitness=0.037852185
444.28 secs, 5022 evals, 4887 steps, improv/step: 0.263 (last = 0.0000), fitness=0.037852185
444.85 secs, 5028 evals, 4893 steps, improv/step: 0.263 (last = 0.0000), fitness=0.037852185
445.41 secs, 5034 evals, 4899 steps, improv/step: 0.263 (last = 0.0000), fitness=0.037852185
445.98 secs, 5040 evals, 4905 steps, improv/step: 0.263 (last = 0.1667), fitness=0.037852185
446.54 secs, 5046 evals, 4911 steps, improv/step: 0.262 (last = 0.1667), fitness=0.037852185
447.10 secs, 5052 evals, 4917 steps, improv/step: 0.262 (last = 0.0000), fitness=0.037852185
447.65 secs, 5058 evals, 4923 steps, improv/step: 0.262 (last = 0.0000), fitness=0.037852185
448.20 secs, 5064 evals, 4929 steps, improv/step: 0.262 (last = 0.0000), fitness=0.037852185
448.74 secs, 5070 evals, 4935 steps, improv/step: 0.261 (last = 0.0000), fitness=0.037852185
449.26 secs, 5076 evals, 4941 steps, improv/step: 0.261 (last = 0.0000), fitness=0.037852185
449.79 secs, 5083 evals, 4948 steps, improv/step: 0.261 (last = 0.0000), fitness=0.037852185
450.33 secs, 5089 evals, 4954 steps, improv/step: 0.260 (last = 0.1667), fitness=0.037852185
450.90 secs, 5095 evals, 4960 steps, improv/step: 0.260 (last = 0.1667), fitness=0.037852185
451.46 secs, 5101 evals, 4966 steps, improv/step: 0.260 (last = 0.1667), fitness=0.037852185
452.02 secs, 5107 evals, 4973 steps, improv/step: 0.260 (last = 0.2857), fitness=0.037852185
452.58 secs, 5113 evals, 4979 steps, improv/step: 0.260 (last = 0.3333), fitness=0.037852185
453.14 secs, 5119 evals, 4985 steps, improv/step: 0.260 (last = 0.3333), fitness=0.037852185
453.70 secs, 5125 evals, 4991 steps, improv/step: 0.260 (last = 0.0000), fitness=0.037852185
454.26 secs, 5131 evals, 4997 steps, improv/step: 0.260 (last = 0.1667), fitness=0.037852185
454.78 secs, 5137 evals, 5003 steps, improv/step: 0.260 (last = 0.0000), fitness=0.037852185
455.31 secs, 5144 evals, 5011 steps, improv/step: 0.260 (last = 0.2500), fitness=0.037852185
455.85 secs, 5152 evals, 5020 steps, improv/step: 0.259 (last = 0.0000), fitness=0.037852185
456.40 secs, 5160 evals, 5031 steps, improv/step: 0.259 (last = 0.1818), fitness=0.037852185
456.96 secs, 5168 evals, 5041 steps, improv/step: 0.259 (last = 0.2000), fitness=0.037852185
457.50 secs, 5176 evals, 5050 steps, improv/step: 0.258 (last = 0.0000), fitness=0.037852185
458.04 secs, 5184 evals, 5058 steps, improv/step: 0.258 (last = 0.1250), fitness=0.037852185
458.59 secs, 5192 evals, 5067 steps, improv/step: 0.258 (last = 0.0000), fitness=0.037852185
459.12 secs, 5200 evals, 5076 steps, improv/step: 0.258 (last = 0.2222), fitness=0.037852185
459.66 secs, 5208 evals, 5084 steps, improv/step: 0.257 (last = 0.0000), fitness=0.037852185
460.21 secs, 5216 evals, 5093 steps, improv/step: 0.257 (last = 0.0000), fitness=0.037852185
460.75 secs, 5224 evals, 5102 steps, improv/step: 0.256 (last = 0.0000), fitness=0.037852185
461.30 secs, 5232 evals, 5110 steps, improv/step: 0.256 (last = 0.2500), fitness=0.037852185
461.81 secs, 5239 evals, 5118 steps, improv/step: 0.256 (last = 0.1250), fitness=0.037852185
462.36 secs, 5247 evals, 5130 steps, improv/step: 0.256 (last = 0.0000), fitness=0.037852185
462.90 secs, 5255 evals, 5141 steps, improv/step: 0.255 (last = 0.0909), fitness=0.037852185
463.43 secs, 5262 evals, 5149 steps, improv/step: 0.255 (last = 0.2500), fitness=0.037852185
463.98 secs, 5270 evals, 5158 steps, improv/step: 0.255 (last = 0.2222), fitness=0.037852185
464.53 secs, 5278 evals, 5168 steps, improv/step: 0.255 (last = 0.0000), fitness=0.037852185
465.09 secs, 5286 evals, 5176 steps, improv/step: 0.254 (last = 0.0000), fitness=0.037852185
465.63 secs, 5294 evals, 5188 steps, improv/step: 0.254 (last = 0.0000), fitness=0.037852185
466.18 secs, 5302 evals, 5197 steps, improv/step: 0.253 (last = 0.0000), fitness=0.037852185
466.73 secs, 5310 evals, 5205 steps, improv/step: 0.253 (last = 0.1250), fitness=0.037852185
467.28 secs, 5318 evals, 5215 steps, improv/step: 0.253 (last = 0.0000), fitness=0.037852185
467.83 secs, 5326 evals, 5223 steps, improv/step: 0.253 (last = 0.3750), fitness=0.037852185
468.38 secs, 5334 evals, 5232 steps, improv/step: 0.252 (last = 0.1111), fitness=0.037852185
468.92 secs, 5342 evals, 5241 steps, improv/step: 0.252 (last = 0.1111), fitness=0.037852185
469.47 secs, 5350 evals, 5249 steps, improv/step: 0.252 (last = 0.2500), fitness=0.037852185
470.03 secs, 5358 evals, 5260 steps, improv/step: 0.252 (last = 0.0909), fitness=0.037852185
470.58 secs, 5366 evals, 5270 steps, improv/step: 0.251 (last = 0.0000), fitness=0.037852185
471.15 secs, 5374 evals, 5278 steps, improv/step: 0.251 (last = 0.0000), fitness=0.037852185
471.71 secs, 5382 evals, 5287 steps, improv/step: 0.251 (last = 0.0000), fitness=0.037852185
472.26 secs, 5390 evals, 5295 steps, improv/step: 0.250 (last = 0.1250), fitness=0.037852185
472.80 secs, 5398 evals, 5303 steps, improv/step: 0.250 (last = 0.0000), fitness=0.037852185
473.35 secs, 5406 evals, 5311 steps, improv/step: 0.250 (last = 0.0000), fitness=0.037852185
473.91 secs, 5414 evals, 5319 steps, improv/step: 0.249 (last = 0.1250), fitness=0.037852185
474.47 secs, 5422 evals, 5328 steps, improv/step: 0.249 (last = 0.0000), fitness=0.037852185
475.02 secs, 5430 evals, 5337 steps, improv/step: 0.249 (last = 0.2222), fitness=0.037852185
475.58 secs, 5438 evals, 5346 steps, improv/step: 0.249 (last = 0.0000), fitness=0.037852185
476.08 secs, 5445 evals, 5355 steps, improv/step: 0.248 (last = 0.0000), fitness=0.037852185
476.63 secs, 5453 evals, 5363 steps, improv/step: 0.248 (last = 0.1250), fitness=0.037852185
477.17 secs, 5461 evals, 5371 steps, improv/step: 0.248 (last = 0.1250), fitness=0.037852185
477.72 secs, 5469 evals, 5379 steps, improv/step: 0.248 (last = 0.2500), fitness=0.037852185
478.26 secs, 5477 evals, 5388 steps, improv/step: 0.247 (last = 0.0000), fitness=0.037852185
478.80 secs, 5485 evals, 5396 steps, improv/step: 0.247 (last = 0.0000), fitness=0.037852185
479.31 secs, 5491 evals, 5403 steps, improv/step: 0.247 (last = 0.1429), fitness=0.037852185
479.89 secs, 5498 evals, 5411 steps, improv/step: 0.247 (last = 0.1250), fitness=0.037852185
480.45 secs, 5506 evals, 5421 steps, improv/step: 0.246 (last = 0.1000), fitness=0.037852185
481.01 secs, 5514 evals, 5431 steps, improv/step: 0.246 (last = 0.1000), fitness=0.037852185
481.55 secs, 5522 evals, 5439 steps, improv/step: 0.246 (last = 0.0000), fitness=0.037852185
482.09 secs, 5530 evals, 5448 steps, improv/step: 0.245 (last = 0.0000), fitness=0.037852185
482.66 secs, 5538 evals, 5457 steps, improv/step: 0.245 (last = 0.1111), fitness=0.037852185
483.21 secs, 5546 evals, 5465 steps, improv/step: 0.245 (last = 0.1250), fitness=0.037852185
483.75 secs, 5554 evals, 5473 steps, improv/step: 0.245 (last = 0.0000), fitness=0.037852185
484.31 secs, 5562 evals, 5482 steps, improv/step: 0.245 (last = 0.2222), fitness=0.037852185
484.89 secs, 5570 evals, 5490 steps, improv/step: 0.244 (last = 0.1250), fitness=0.037852185
485.45 secs, 5578 evals, 5500 steps, improv/step: 0.244 (last = 0.0000), fitness=0.037852185
486.01 secs, 5586 evals, 5508 steps, improv/step: 0.244 (last = 0.3750), fitness=0.037852185
486.56 secs, 5594 evals, 5518 steps, improv/step: 0.244 (last = 0.2000), fitness=0.037852185
487.11 secs, 5602 evals, 5526 steps, improv/step: 0.244 (last = 0.0000), fitness=0.037852185
487.68 secs, 5610 evals, 5536 steps, improv/step: 0.243 (last = 0.0000), fitness=0.037852185
488.23 secs, 5618 evals, 5545 steps, improv/step: 0.243 (last = 0.0000), fitness=0.037852185
488.77 secs, 5626 evals, 5554 steps, improv/step: 0.243 (last = 0.3333), fitness=0.037852185
489.29 secs, 5633 evals, 5561 steps, improv/step: 0.243 (last = 0.1429), fitness=0.037852185
489.85 secs, 5641 evals, 5569 steps, improv/step: 0.243 (last = 0.0000), fitness=0.037852185
490.42 secs, 5649 evals, 5577 steps, improv/step: 0.242 (last = 0.0000), fitness=0.037852185
490.92 secs, 5656 evals, 5586 steps, improv/step: 0.242 (last = 0.1111), fitness=0.037852185
491.42 secs, 5663 evals, 5593 steps, improv/step: 0.242 (last = 0.2857), fitness=0.037852185
491.99 secs, 5671 evals, 5602 steps, improv/step: 0.242 (last = 0.0000), fitness=0.037852185
492.54 secs, 5679 evals, 5610 steps, improv/step: 0.241 (last = 0.0000), fitness=0.037852185
493.08 secs, 5686 evals, 5617 steps, improv/step: 0.241 (last = 0.1429), fitness=0.037852185
493.63 secs, 5694 evals, 5625 steps, improv/step: 0.241 (last = 0.0000), fitness=0.037852185
494.20 secs, 5702 evals, 5633 steps, improv/step: 0.241 (last = 0.0000), fitness=0.037852185
494.70 secs, 5709 evals, 5640 steps, improv/step: 0.240 (last = 0.1429), fitness=0.037852185
495.22 secs, 5716 evals, 5647 steps, improv/step: 0.240 (last = 0.1429), fitness=0.037852185
495.78 secs, 5724 evals, 5655 steps, improv/step: 0.240 (last = 0.2500), fitness=0.037852185
496.32 secs, 5732 evals, 5663 steps, improv/step: 0.240 (last = 0.1250), fitness=0.037852185
496.86 secs, 5740 evals, 5671 steps, improv/step: 0.240 (last = 0.0000), fitness=0.037852185
497.41 secs, 5748 evals, 5679 steps, improv/step: 0.240 (last = 0.1250), fitness=0.037852185
497.96 secs, 5756 evals, 5688 steps, improv/step: 0.239 (last = 0.1111), fitness=0.037852185
498.51 secs, 5764 evals, 5697 steps, improv/step: 0.240 (last = 0.3333), fitness=0.037852185
499.06 secs, 5772 evals, 5705 steps, improv/step: 0.239 (last = 0.0000), fitness=0.037852185
499.56 secs, 5779 evals, 5713 steps, improv/step: 0.239 (last = 0.0000), fitness=0.037852185
500.07 secs, 5786 evals, 5720 steps, improv/step: 0.239 (last = 0.2857), fitness=0.037852185
500.63 secs, 5794 evals, 5729 steps, improv/step: 0.239 (last = 0.1111), fitness=0.037852185
501.17 secs, 5802 evals, 5737 steps, improv/step: 0.238 (last = 0.0000), fitness=0.037852185
501.71 secs, 5810 evals, 5745 steps, improv/step: 0.238 (last = 0.0000), fitness=0.037852185
502.27 secs, 5818 evals, 5754 steps, improv/step: 0.238 (last = 0.1111), fitness=0.037852185
502.82 secs, 5826 evals, 5763 steps, improv/step: 0.238 (last = 0.0000), fitness=0.037852185
503.36 secs, 5834 evals, 5773 steps, improv/step: 0.237 (last = 0.0000), fitness=0.037852185
503.92 secs, 5842 evals, 5782 steps, improv/step: 0.237 (last = 0.1111), fitness=0.037852185
504.47 secs, 5850 evals, 5790 steps, improv/step: 0.237 (last = 0.2500), fitness=0.037852185
505.02 secs, 5858 evals, 5798 steps, improv/step: 0.237 (last = 0.1250), fitness=0.037852185
505.57 secs, 5866 evals, 5806 steps, improv/step: 0.237 (last = 0.1250), fitness=0.037852185
506.11 secs, 5874 evals, 5815 steps, improv/step: 0.236 (last = 0.1111), fitness=0.037852185
506.65 secs, 5882 evals, 5823 steps, improv/step: 0.236 (last = 0.0000), fitness=0.037852185
507.19 secs, 5890 evals, 5832 steps, improv/step: 0.236 (last = 0.1111), fitness=0.037852185
507.73 secs, 5898 evals, 5841 steps, improv/step: 0.236 (last = 0.1111), fitness=0.037852185
508.26 secs, 5906 evals, 5849 steps, improv/step: 0.236 (last = 0.1250), fitness=0.037852185
508.82 secs, 5914 evals, 5859 steps, improv/step: 0.235 (last = 0.1000), fitness=0.037852185
509.37 secs, 5922 evals, 5869 steps, improv/step: 0.235 (last = 0.1000), fitness=0.037852185
509.93 secs, 5930 evals, 5877 steps, improv/step: 0.235 (last = 0.1250), fitness=0.037852185
510.45 secs, 5937 evals, 5884 steps, improv/step: 0.235 (last = 0.0000), fitness=0.037852185
511.00 secs, 5945 evals, 5892 steps, improv/step: 0.234 (last = 0.0000), fitness=0.037852185
511.56 secs, 5953 evals, 5902 steps, improv/step: 0.235 (last = 0.4000), fitness=0.037852185
512.07 secs, 5960 evals, 5909 steps, improv/step: 0.234 (last = 0.0000), fitness=0.037852185
512.62 secs, 5968 evals, 5918 steps, improv/step: 0.234 (last = 0.2222), fitness=0.037852185
513.18 secs, 5976 evals, 5926 steps, improv/step: 0.234 (last = 0.1250), fitness=0.037852185
513.73 secs, 5984 evals, 5935 steps, improv/step: 0.234 (last = 0.1111), fitness=0.037852185
514.28 secs, 5992 evals, 5943 steps, improv/step: 0.234 (last = 0.2500), fitness=0.037852185
514.83 secs, 6000 evals, 5952 steps, improv/step: 0.234 (last = 0.1111), fitness=0.037852185
515.39 secs, 6008 evals, 5962 steps, improv/step: 0.233 (last = 0.0000), fitness=0.037852185
515.92 secs, 6016 evals, 5972 steps, improv/step: 0.233 (last = 0.1000), fitness=0.037852185
516.47 secs, 6024 evals, 5983 steps, improv/step: 0.233 (last = 0.0000), fitness=0.037852185
517.01 secs, 6032 evals, 5992 steps, improv/step: 0.232 (last = 0.0000), fitness=0.037852185
517.55 secs, 6040 evals, 6003 steps, improv/step: 0.232 (last = 0.0000), fitness=0.037852185
518.09 secs, 6048 evals, 6011 steps, improv/step: 0.232 (last = 0.1250), fitness=0.037852185
518.62 secs, 6056 evals, 6020 steps, improv/step: 0.232 (last = 0.1111), fitness=0.037852185
519.16 secs, 6064 evals, 6033 steps, improv/step: 0.231 (last = 0.0000), fitness=0.037852185
519.70 secs, 6072 evals, 6042 steps, improv/step: 0.231 (last = 0.0000), fitness=0.037852185
520.22 secs, 6080 evals, 6054 steps, improv/step: 0.231 (last = 0.0833), fitness=0.037852185
520.77 secs, 6088 evals, 6063 steps, improv/step: 0.230 (last = 0.1111), fitness=0.037852185
521.31 secs, 6096 evals, 6075 steps, improv/step: 0.230 (last = 0.1667), fitness=0.037852185
521.84 secs, 6104 evals, 6086 steps, improv/step: 0.230 (last = 0.0909), fitness=0.037852185
522.37 secs, 6112 evals, 6099 steps, improv/step: 0.230 (last = 0.0769), fitness=0.037852185
522.91 secs, 6120 evals, 6111 steps, improv/step: 0.230 (last = 0.1667), fitness=0.037852185
523.46 secs, 6128 evals, 6121 steps, improv/step: 0.229 (last = 0.0000), fitness=0.037852185
524.01 secs, 6136 evals, 6131 steps, improv/step: 0.229 (last = 0.1000), fitness=0.037852185
524.57 secs, 6144 evals, 6143 steps, improv/step: 0.229 (last = 0.0000), fitness=0.037852185
525.11 secs, 6152 evals, 6152 steps, improv/step: 0.228 (last = 0.0000), fitness=0.037852185
525.65 secs, 6160 evals, 6165 steps, improv/step: 0.228 (last = 0.0000), fitness=0.037852185
526.21 secs, 6168 evals, 6178 steps, improv/step: 0.227 (last = 0.0769), fitness=0.037852185
526.74 secs, 6176 evals, 6188 steps, improv/step: 0.227 (last = 0.1000), fitness=0.037852185
527.28 secs, 6184 evals, 6199 steps, improv/step: 0.227 (last = 0.0000), fitness=0.037852185
527.83 secs, 6192 evals, 6210 steps, improv/step: 0.226 (last = 0.0000), fitness=0.037852185
528.38 secs, 6200 evals, 6222 steps, improv/step: 0.226 (last = 0.0833), fitness=0.037852185
528.94 secs, 6208 evals, 6239 steps, improv/step: 0.226 (last = 0.0588), fitness=0.037852185
529.49 secs, 6216 evals, 6257 steps, improv/step: 0.225 (last = 0.0000), fitness=0.037852185
530.04 secs, 6224 evals, 6269 steps, improv/step: 0.225 (last = 0.1667), fitness=0.037852185
530.59 secs, 6232 evals, 6283 steps, improv/step: 0.224 (last = 0.0000), fitness=0.037852185
531.13 secs, 6240 evals, 6303 steps, improv/step: 0.224 (last = 0.0000), fitness=0.037852185
531.69 secs, 6248 evals, 6317 steps, improv/step: 0.224 (last = 0.1429), fitness=0.037852185
532.24 secs, 6256 evals, 6335 steps, improv/step: 0.223 (last = 0.1111), fitness=0.037852185
532.79 secs, 6264 evals, 6350 steps, improv/step: 0.223 (last = 0.0000), fitness=0.037852185
533.36 secs, 6272 evals, 6366 steps, improv/step: 0.222 (last = 0.0625), fitness=0.037852185
533.91 secs, 6280 evals, 6384 steps, improv/step: 0.222 (last = 0.0556), fitness=0.037852185
534.47 secs, 6288 evals, 6399 steps, improv/step: 0.221 (last = 0.0667), fitness=0.037852185
535.02 secs, 6296 evals, 6423 steps, improv/step: 0.221 (last = 0.0000), fitness=0.037852185
535.58 secs, 6304 evals, 6436 steps, improv/step: 0.220 (last = 0.0769), fitness=0.037852185
536.13 secs, 6312 evals, 6455 steps, improv/step: 0.220 (last = 0.2632), fitness=0.037852185
536.67 secs, 6320 evals, 6470 steps, improv/step: 0.220 (last = 0.0667), fitness=0.037852185
537.21 secs, 6328 evals, 6488 steps, improv/step: 0.220 (last = 0.0556), fitness=0.037852185
537.75 secs, 6336 evals, 6502 steps, improv/step: 0.219 (last = 0.0714), fitness=0.037852185
538.30 secs, 6344 evals, 6535 steps, improv/step: 0.219 (last = 0.0909), fitness=0.037852185
538.86 secs, 6352 evals, 6557 steps, improv/step: 0.218 (last = 0.0000), fitness=0.037852185
539.39 secs, 6360 evals, 6595 steps, improv/step: 0.217 (last = 0.0526), fitness=0.037852185
539.92 secs, 6368 evals, 6617 steps, improv/step: 0.216 (last = 0.0000), fitness=0.037852185
540.45 secs, 6376 evals, 6650 steps, improv/step: 0.215 (last = 0.0000), fitness=0.037852185
540.99 secs, 6384 evals, 6687 steps, improv/step: 0.214 (last = 0.0270), fitness=0.037852185
541.52 secs, 6392 evals, 6741 steps, improv/step: 0.213 (last = 0.0370), fitness=0.037852185
542.07 secs, 6400 evals, 6793 steps, improv/step: 0.211 (last = 0.0385), fitness=0.037852185
542.60 secs, 6408 evals, 6851 steps, improv/step: 0.210 (last = 0.0172), fitness=0.037852185
543.15 secs, 6416 evals, 6924 steps, improv/step: 0.208 (last = 0.0137), fitness=0.037852185

Optimization stopped after 7026 steps and 543.22 seconds
Termination reason: Too many steps (101) without any function evaluations (probably search has converged)
Steps per second = 12.93
Function evals per second = 11.81
Improvements/step = 0.13082
Total function evaluations = 6417


Best candidate found: [1.49994]

Fitness: 0.037852185

┌ 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: 0.500 (last = 0.5000), fitness=295.823248548
1.10 secs, 16 evals, 8 steps, improv/step: 0.250 (last = 0.0000), fitness=86.759292643
1.66 secs, 24 evals, 12 steps, improv/step: 0.417 (last = 0.7500), fitness=86.759292643
2.21 secs, 32 evals, 16 steps, improv/step: 0.438 (last = 0.5000), fitness=86.759292643
2.80 secs, 40 evals, 20 steps, improv/step: 0.400 (last = 0.2500), fitness=86.759292643
3.42 secs, 49 evals, 25 steps, improv/step: 0.440 (last = 0.6000), fitness=86.759292643
3.96 secs, 57 evals, 30 steps, improv/step: 0.467 (last = 0.6000), fitness=86.759292643
4.51 secs, 65 evals, 35 steps, improv/step: 0.429 (last = 0.2000), fitness=86.759292643
5.13 secs, 74 evals, 41 steps, improv/step: 0.390 (last = 0.1667), fitness=86.759292643
5.66 secs, 82 evals, 46 steps, improv/step: 0.413 (last = 0.6000), fitness=86.759292643
6.19 secs, 90 evals, 51 steps, improv/step: 0.451 (last = 0.8000), fitness=86.759292643
6.73 secs, 98 evals, 56 steps, improv/step: 0.482 (last = 0.8000), fitness=86.759292643
7.27 secs, 106 evals, 61 steps, improv/step: 0.492 (last = 0.6000), fitness=86.759292643
7.80 secs, 114 evals, 65 steps, improv/step: 0.477 (last = 0.2500), fitness=86.759292643
8.35 secs, 122 evals, 71 steps, improv/step: 0.479 (last = 0.5000), fitness=78.637222198
8.89 secs, 130 evals, 76 steps, improv/step: 0.474 (last = 0.4000), fitness=78.637222198
9.42 secs, 138 evals, 83 steps, improv/step: 0.482 (last = 0.5714), fitness=5.261248235
10.03 secs, 147 evals, 90 steps, improv/step: 0.456 (last = 0.1429), fitness=5.261248235
10.63 secs, 156 evals, 96 steps, improv/step: 0.469 (last = 0.6667), fitness=5.261248235
11.17 secs, 163 evals, 101 steps, improv/step: 0.465 (last = 0.4000), fitness=5.261248235
11.82 secs, 171 evals, 106 steps, improv/step: 0.453 (last = 0.2000), fitness=5.261248235
12.39 secs, 178 evals, 112 steps, improv/step: 0.438 (last = 0.1667), fitness=5.261248235
12.95 secs, 185 evals, 116 steps, improv/step: 0.440 (last = 0.5000), fitness=5.261248235
13.51 secs, 192 evals, 122 steps, improv/step: 0.418 (last = 0.0000), fitness=5.261248235
14.08 secs, 199 evals, 128 steps, improv/step: 0.422 (last = 0.5000), fitness=5.261248235
14.61 secs, 205 evals, 133 steps, improv/step: 0.414 (last = 0.2000), fitness=5.261248235
15.14 secs, 211 evals, 138 steps, improv/step: 0.406 (last = 0.2000), fitness=5.261248235
15.68 secs, 217 evals, 143 steps, improv/step: 0.399 (last = 0.2000), fitness=5.261248235
16.23 secs, 223 evals, 149 steps, improv/step: 0.403 (last = 0.5000), fitness=5.261248235
16.88 secs, 230 evals, 154 steps, improv/step: 0.403 (last = 0.4000), fitness=5.261248235
17.44 secs, 236 evals, 158 steps, improv/step: 0.405 (last = 0.5000), fitness=5.261248235
17.97 secs, 241 evals, 162 steps, improv/step: 0.407 (last = 0.5000), fitness=5.261248235
18.49 secs, 246 evals, 165 steps, improv/step: 0.412 (last = 0.6667), fitness=5.261248235
19.03 secs, 252 evals, 169 steps, improv/step: 0.408 (last = 0.2500), fitness=5.261248235
19.57 secs, 258 evals, 175 steps, improv/step: 0.394 (last = 0.0000), fitness=5.261248235
20.13 secs, 264 evals, 180 steps, improv/step: 0.394 (last = 0.4000), fitness=5.261248235
20.66 secs, 270 evals, 185 steps, improv/step: 0.389 (last = 0.2000), fitness=5.261248235
21.22 secs, 277 evals, 191 steps, improv/step: 0.393 (last = 0.5000), fitness=0.735941897
21.77 secs, 283 evals, 196 steps, improv/step: 0.388 (last = 0.2000), fitness=0.735941897
22.32 secs, 289 evals, 202 steps, improv/step: 0.386 (last = 0.3333), fitness=0.735941897
22.87 secs, 295 evals, 208 steps, improv/step: 0.385 (last = 0.3333), fitness=0.735941897
23.41 secs, 301 evals, 214 steps, improv/step: 0.379 (last = 0.1667), fitness=0.735941897
23.99 secs, 307 evals, 220 steps, improv/step: 0.373 (last = 0.1667), fitness=0.735941897
24.62 secs, 314 evals, 226 steps, improv/step: 0.367 (last = 0.1667), fitness=0.735941897
25.26 secs, 321 evals, 232 steps, improv/step: 0.362 (last = 0.1667), fitness=0.735941897
25.89 secs, 328 evals, 237 steps, improv/step: 0.367 (last = 0.6000), fitness=0.735941897
26.43 secs, 334 evals, 242 steps, improv/step: 0.360 (last = 0.0000), fitness=0.735941897
26.98 secs, 340 evals, 248 steps, improv/step: 0.355 (last = 0.1667), fitness=0.735941897
27.51 secs, 346 evals, 254 steps, improv/step: 0.350 (last = 0.1667), fitness=0.735941897
28.03 secs, 352 evals, 259 steps, improv/step: 0.347 (last = 0.2000), fitness=0.735941897
28.56 secs, 358 evals, 265 steps, improv/step: 0.347 (last = 0.3333), fitness=0.735941897
29.08 secs, 364 evals, 271 steps, improv/step: 0.347 (last = 0.3333), fitness=0.735941897
29.58 secs, 370 evals, 277 steps, improv/step: 0.343 (last = 0.1667), fitness=0.735941897
30.25 secs, 378 evals, 283 steps, improv/step: 0.343 (last = 0.3333), fitness=0.735941897
30.79 secs, 385 evals, 289 steps, improv/step: 0.343 (last = 0.3333), fitness=0.735941897
31.29 secs, 392 evals, 295 steps, improv/step: 0.346 (last = 0.5000), fitness=0.735941897
31.85 secs, 400 evals, 302 steps, improv/step: 0.344 (last = 0.2857), fitness=0.735941897
32.41 secs, 408 evals, 310 steps, improv/step: 0.339 (last = 0.1250), fitness=0.735941897
32.97 secs, 416 evals, 318 steps, improv/step: 0.340 (last = 0.3750), fitness=0.735941897
33.52 secs, 424 evals, 325 steps, improv/step: 0.338 (last = 0.2857), fitness=0.735941897
34.08 secs, 432 evals, 333 steps, improv/step: 0.339 (last = 0.3750), fitness=0.735941897
34.64 secs, 440 evals, 341 steps, improv/step: 0.340 (last = 0.3750), fitness=0.735941897
35.21 secs, 448 evals, 348 steps, improv/step: 0.339 (last = 0.2857), fitness=0.735941897
35.76 secs, 456 evals, 355 steps, improv/step: 0.332 (last = 0.0000), fitness=0.735941897
36.40 secs, 464 evals, 362 steps, improv/step: 0.334 (last = 0.4286), fitness=0.735941897
36.93 secs, 470 evals, 368 steps, improv/step: 0.334 (last = 0.3333), fitness=0.735941897
37.45 secs, 476 evals, 374 steps, improv/step: 0.329 (last = 0.0000), fitness=0.735941897
37.98 secs, 482 evals, 380 steps, improv/step: 0.324 (last = 0.0000), fitness=0.735941897
38.62 secs, 489 evals, 386 steps, improv/step: 0.321 (last = 0.1667), fitness=0.735941897
39.18 secs, 495 evals, 391 steps, improv/step: 0.317 (last = 0.0000), fitness=0.735941897
39.69 secs, 501 evals, 397 steps, improv/step: 0.315 (last = 0.1667), fitness=0.735941897
40.27 secs, 508 evals, 404 steps, improv/step: 0.312 (last = 0.1429), fitness=0.735941897
40.84 secs, 515 evals, 410 steps, improv/step: 0.307 (last = 0.0000), fitness=0.735941897
41.41 secs, 522 evals, 417 steps, improv/step: 0.307 (last = 0.2857), fitness=0.735941897
41.96 secs, 529 evals, 424 steps, improv/step: 0.307 (last = 0.2857), fitness=0.735941897
42.53 secs, 536 evals, 430 steps, improv/step: 0.309 (last = 0.5000), fitness=0.735941897
43.08 secs, 542 evals, 436 steps, improv/step: 0.312 (last = 0.5000), fitness=0.735941897
43.62 secs, 548 evals, 441 steps, improv/step: 0.308 (last = 0.0000), fitness=0.735941897
44.14 secs, 554 evals, 447 steps, improv/step: 0.306 (last = 0.1667), fitness=0.735941897
44.65 secs, 560 evals, 452 steps, improv/step: 0.308 (last = 0.4000), fitness=0.603636801
45.21 secs, 567 evals, 459 steps, improv/step: 0.303 (last = 0.0000), fitness=0.603636801
45.71 secs, 573 evals, 464 steps, improv/step: 0.302 (last = 0.2000), fitness=0.603636801
46.26 secs, 579 evals, 470 steps, improv/step: 0.298 (last = 0.0000), fitness=0.603636801
46.79 secs, 585 evals, 476 steps, improv/step: 0.298 (last = 0.3333), fitness=0.603636801
47.34 secs, 591 evals, 482 steps, improv/step: 0.297 (last = 0.1667), fitness=0.603636801
47.89 secs, 597 evals, 488 steps, improv/step: 0.293 (last = 0.0000), fitness=0.603636801
48.41 secs, 603 evals, 494 steps, improv/step: 0.294 (last = 0.3333), fitness=0.603636801
48.96 secs, 609 evals, 499 steps, improv/step: 0.295 (last = 0.4000), fitness=0.603636801
49.52 secs, 615 evals, 505 steps, improv/step: 0.295 (last = 0.3333), fitness=0.603636801
50.08 secs, 621 evals, 511 steps, improv/step: 0.299 (last = 0.6667), fitness=0.603636801
50.63 secs, 627 evals, 517 steps, improv/step: 0.298 (last = 0.1667), fitness=0.603636801
51.16 secs, 634 evals, 524 steps, improv/step: 0.296 (last = 0.1429), fitness=0.603636801
51.72 secs, 642 evals, 532 steps, improv/step: 0.295 (last = 0.2500), fitness=0.603636801
52.28 secs, 650 evals, 540 steps, improv/step: 0.294 (last = 0.2500), fitness=0.603636801
52.84 secs, 657 evals, 546 steps, improv/step: 0.295 (last = 0.3333), fitness=0.603636801
53.35 secs, 664 evals, 553 steps, improv/step: 0.298 (last = 0.5714), fitness=0.603636801
53.86 secs, 671 evals, 559 steps, improv/step: 0.299 (last = 0.3333), fitness=0.603636801
54.43 secs, 679 evals, 567 steps, improv/step: 0.298 (last = 0.2500), fitness=0.603636801
55.00 secs, 687 evals, 575 steps, improv/step: 0.297 (last = 0.2500), fitness=0.603636801
55.50 secs, 694 evals, 582 steps, improv/step: 0.296 (last = 0.1429), fitness=0.603636801
56.03 secs, 701 evals, 589 steps, improv/step: 0.294 (last = 0.1429), fitness=0.603636801
56.53 secs, 708 evals, 596 steps, improv/step: 0.294 (last = 0.2857), fitness=0.603636801
57.08 secs, 716 evals, 604 steps, improv/step: 0.291 (last = 0.1250), fitness=0.603636801
57.61 secs, 724 evals, 612 steps, improv/step: 0.291 (last = 0.2500), fitness=0.603636801
58.17 secs, 732 evals, 619 steps, improv/step: 0.288 (last = 0.0000), fitness=0.603636801
58.72 secs, 740 evals, 627 steps, improv/step: 0.285 (last = 0.1250), fitness=0.603636801
59.27 secs, 748 evals, 635 steps, improv/step: 0.282 (last = 0.0000), fitness=0.603636801
59.82 secs, 756 evals, 642 steps, improv/step: 0.279 (last = 0.0000), fitness=0.603636801
60.35 secs, 764 evals, 650 steps, improv/step: 0.282 (last = 0.5000), fitness=0.603636801
60.89 secs, 772 evals, 658 steps, improv/step: 0.283 (last = 0.3750), fitness=0.603636801
61.46 secs, 780 evals, 665 steps, improv/step: 0.283 (last = 0.2857), fitness=0.603636801
62.01 secs, 788 evals, 671 steps, improv/step: 0.283 (last = 0.3333), fitness=0.603636801
62.56 secs, 796 evals, 678 steps, improv/step: 0.282 (last = 0.1429), fitness=0.603636801
63.12 secs, 804 evals, 685 steps, improv/step: 0.282 (last = 0.2857), fitness=0.603636801
63.66 secs, 812 evals, 693 steps, improv/step: 0.283 (last = 0.3750), fitness=0.603636801
64.21 secs, 820 evals, 701 steps, improv/step: 0.281 (last = 0.1250), fitness=0.603636801
64.77 secs, 828 evals, 709 steps, improv/step: 0.282 (last = 0.3750), fitness=0.603636801
65.31 secs, 836 evals, 717 steps, improv/step: 0.282 (last = 0.2500), fitness=0.603636801
65.86 secs, 844 evals, 725 steps, improv/step: 0.283 (last = 0.3750), fitness=0.603636801
66.42 secs, 852 evals, 733 steps, improv/step: 0.282 (last = 0.2500), fitness=0.603636801
66.96 secs, 860 evals, 741 steps, improv/step: 0.282 (last = 0.2500), fitness=0.580416964
67.50 secs, 868 evals, 749 steps, improv/step: 0.283 (last = 0.3750), fitness=0.115523888
68.05 secs, 876 evals, 757 steps, improv/step: 0.283 (last = 0.2500), fitness=0.115523888
68.59 secs, 884 evals, 765 steps, improv/step: 0.281 (last = 0.1250), fitness=0.115523888
69.14 secs, 892 evals, 772 steps, improv/step: 0.280 (last = 0.1429), fitness=0.115523888
69.69 secs, 900 evals, 779 steps, improv/step: 0.280 (last = 0.2857), fitness=0.115523888
70.24 secs, 908 evals, 787 steps, improv/step: 0.278 (last = 0.1250), fitness=0.115523888
70.79 secs, 916 evals, 795 steps, improv/step: 0.278 (last = 0.2500), fitness=0.115523888
71.35 secs, 924 evals, 803 steps, improv/step: 0.275 (last = 0.0000), fitness=0.115523888
71.92 secs, 932 evals, 811 steps, improv/step: 0.275 (last = 0.2500), fitness=0.115523888
72.43 secs, 939 evals, 818 steps, improv/step: 0.274 (last = 0.1429), fitness=0.115523888
72.94 secs, 945 evals, 824 steps, improv/step: 0.275 (last = 0.5000), fitness=0.115523888
73.44 secs, 951 evals, 830 steps, improv/step: 0.275 (last = 0.1667), fitness=0.115523888
73.95 secs, 957 evals, 836 steps, improv/step: 0.274 (last = 0.1667), fitness=0.115523888
74.46 secs, 963 evals, 842 steps, improv/step: 0.272 (last = 0.0000), fitness=0.115523888
74.99 secs, 969 evals, 848 steps, improv/step: 0.274 (last = 0.5000), fitness=0.115523888
75.52 secs, 975 evals, 854 steps, improv/step: 0.275 (last = 0.5000), fitness=0.115523888
76.07 secs, 981 evals, 860 steps, improv/step: 0.274 (last = 0.1667), fitness=0.115523888
76.60 secs, 987 evals, 866 steps, improv/step: 0.275 (last = 0.3333), fitness=0.115523888
77.11 secs, 993 evals, 872 steps, improv/step: 0.273 (last = 0.0000), fitness=0.115523888
77.64 secs, 999 evals, 878 steps, improv/step: 0.272 (last = 0.1667), fitness=0.115523888
78.18 secs, 1005 evals, 884 steps, improv/step: 0.270 (last = 0.0000), fitness=0.115523888
78.69 secs, 1011 evals, 890 steps, improv/step: 0.271 (last = 0.3333), fitness=0.115523888
79.23 secs, 1017 evals, 896 steps, improv/step: 0.270 (last = 0.1667), fitness=0.115523888
79.75 secs, 1023 evals, 902 steps, improv/step: 0.271 (last = 0.3333), fitness=0.115523888
80.26 secs, 1029 evals, 908 steps, improv/step: 0.271 (last = 0.3333), fitness=0.115523888
80.78 secs, 1035 evals, 914 steps, improv/step: 0.271 (last = 0.3333), fitness=0.115523888
81.30 secs, 1041 evals, 920 steps, improv/step: 0.273 (last = 0.5000), fitness=0.115523888
81.82 secs, 1047 evals, 927 steps, improv/step: 0.273 (last = 0.2857), fitness=0.115523888
82.34 secs, 1053 evals, 933 steps, improv/step: 0.274 (last = 0.5000), fitness=0.115523888
82.87 secs, 1059 evals, 939 steps, improv/step: 0.274 (last = 0.1667), fitness=0.115523888
83.41 secs, 1065 evals, 945 steps, improv/step: 0.273 (last = 0.1667), fitness=0.115523888
83.94 secs, 1071 evals, 951 steps, improv/step: 0.272 (last = 0.1667), fitness=0.115523888
84.46 secs, 1077 evals, 957 steps, improv/step: 0.272 (last = 0.1667), fitness=0.115523888
84.99 secs, 1083 evals, 963 steps, improv/step: 0.272 (last = 0.3333), fitness=0.094887142
85.51 secs, 1089 evals, 969 steps, improv/step: 0.271 (last = 0.1667), fitness=0.094887142
86.04 secs, 1095 evals, 975 steps, improv/step: 0.272 (last = 0.3333), fitness=0.094887142
86.56 secs, 1101 evals, 981 steps, improv/step: 0.271 (last = 0.1667), fitness=0.094887142
87.07 secs, 1107 evals, 987 steps, improv/step: 0.272 (last = 0.3333), fitness=0.094887142
87.65 secs, 1114 evals, 994 steps, improv/step: 0.272 (last = 0.2857), fitness=0.094887142
88.18 secs, 1120 evals, 1000 steps, improv/step: 0.271 (last = 0.1667), fitness=0.094887142
88.72 secs, 1126 evals, 1006 steps, improv/step: 0.269 (last = 0.0000), fitness=0.094887142
89.24 secs, 1132 evals, 1012 steps, improv/step: 0.269 (last = 0.1667), fitness=0.094887142
89.74 secs, 1138 evals, 1018 steps, improv/step: 0.268 (last = 0.1667), fitness=0.094887142
90.28 secs, 1144 evals, 1024 steps, improv/step: 0.270 (last = 0.5000), fitness=0.094887142
90.82 secs, 1150 evals, 1030 steps, improv/step: 0.269 (last = 0.1667), fitness=0.094887142
91.34 secs, 1156 evals, 1036 steps, improv/step: 0.268 (last = 0.1667), fitness=0.094887142
91.85 secs, 1162 evals, 1042 steps, improv/step: 0.271 (last = 0.6667), fitness=0.086416102
92.36 secs, 1168 evals, 1048 steps, improv/step: 0.269 (last = 0.0000), fitness=0.086416102
92.89 secs, 1174 evals, 1054 steps, improv/step: 0.270 (last = 0.5000), fitness=0.086416102
93.41 secs, 1180 evals, 1060 steps, improv/step: 0.271 (last = 0.3333), fitness=0.086416102
93.95 secs, 1187 evals, 1067 steps, improv/step: 0.270 (last = 0.1429), fitness=0.086416102
94.47 secs, 1193 evals, 1073 steps, improv/step: 0.270 (last = 0.3333), fitness=0.086416102
94.99 secs, 1199 evals, 1079 steps, improv/step: 0.270 (last = 0.1667), fitness=0.065634305
95.57 secs, 1206 evals, 1086 steps, improv/step: 0.269 (last = 0.1429), fitness=0.065634305
96.08 secs, 1212 evals, 1092 steps, improv/step: 0.268 (last = 0.1667), fitness=0.065634305
96.65 secs, 1220 evals, 1100 steps, improv/step: 0.267 (last = 0.1250), fitness=0.065634305
97.19 secs, 1227 evals, 1107 steps, improv/step: 0.266 (last = 0.0000), fitness=0.065634305
97.77 secs, 1235 evals, 1115 steps, improv/step: 0.266 (last = 0.3750), fitness=0.065634305
98.34 secs, 1242 evals, 1122 steps, improv/step: 0.265 (last = 0.0000), fitness=0.065634305
98.88 secs, 1248 evals, 1128 steps, improv/step: 0.264 (last = 0.1667), fitness=0.065634305
99.39 secs, 1255 evals, 1135 steps, improv/step: 0.264 (last = 0.2857), fitness=0.060296884
99.92 secs, 1263 evals, 1143 steps, improv/step: 0.264 (last = 0.2500), fitness=0.060296884
100.45 secs, 1271 evals, 1151 steps, improv/step: 0.263 (last = 0.1250), fitness=0.060296884
100.98 secs, 1278 evals, 1158 steps, improv/step: 0.263 (last = 0.2857), fitness=0.060296884
101.54 secs, 1285 evals, 1166 steps, improv/step: 0.265 (last = 0.5000), fitness=0.060296884
102.10 secs, 1292 evals, 1173 steps, improv/step: 0.263 (last = 0.0000), fitness=0.060296884
102.64 secs, 1299 evals, 1180 steps, improv/step: 0.264 (last = 0.2857), fitness=0.060296884
103.15 secs, 1305 evals, 1186 steps, improv/step: 0.263 (last = 0.1667), fitness=0.060296884
103.65 secs, 1311 evals, 1192 steps, improv/step: 0.262 (last = 0.0000), fitness=0.060296884
104.18 secs, 1317 evals, 1198 steps, improv/step: 0.262 (last = 0.3333), fitness=0.060296884
104.70 secs, 1323 evals, 1204 steps, improv/step: 0.262 (last = 0.3333), fitness=0.060296884
105.24 secs, 1329 evals, 1210 steps, improv/step: 0.263 (last = 0.3333), fitness=0.060296884
105.77 secs, 1335 evals, 1216 steps, improv/step: 0.262 (last = 0.0000), fitness=0.060296884
106.32 secs, 1342 evals, 1223 steps, improv/step: 0.262 (last = 0.2857), fitness=0.060296884
106.82 secs, 1348 evals, 1229 steps, improv/step: 0.263 (last = 0.5000), fitness=0.060296884
107.33 secs, 1354 evals, 1235 steps, improv/step: 0.263 (last = 0.3333), fitness=0.060296884
107.83 secs, 1360 evals, 1241 steps, improv/step: 0.263 (last = 0.3333), fitness=0.052495064
108.36 secs, 1366 evals, 1247 steps, improv/step: 0.262 (last = 0.0000), fitness=0.052495064
108.87 secs, 1372 evals, 1253 steps, improv/step: 0.263 (last = 0.3333), fitness=0.052495064
109.40 secs, 1378 evals, 1259 steps, improv/step: 0.263 (last = 0.3333), fitness=0.052495064
109.93 secs, 1384 evals, 1265 steps, improv/step: 0.262 (last = 0.1667), fitness=0.052495064
110.44 secs, 1390 evals, 1271 steps, improv/step: 0.261 (last = 0.0000), fitness=0.052495064
110.95 secs, 1396 evals, 1277 steps, improv/step: 0.262 (last = 0.3333), fitness=0.052495064
111.46 secs, 1402 evals, 1283 steps, improv/step: 0.262 (last = 0.3333), fitness=0.052495064
112.00 secs, 1408 evals, 1289 steps, improv/step: 0.261 (last = 0.0000), fitness=0.052495064
112.52 secs, 1414 evals, 1295 steps, improv/step: 0.260 (last = 0.1667), fitness=0.052495064
113.05 secs, 1420 evals, 1301 steps, improv/step: 0.260 (last = 0.1667), fitness=0.052495064
113.58 secs, 1426 evals, 1307 steps, improv/step: 0.259 (last = 0.0000), fitness=0.052495064
114.13 secs, 1432 evals, 1313 steps, improv/step: 0.260 (last = 0.5000), fitness=0.052495064
114.68 secs, 1438 evals, 1319 steps, improv/step: 0.262 (last = 0.6667), fitness=0.042187587
115.21 secs, 1444 evals, 1325 steps, improv/step: 0.262 (last = 0.3333), fitness=0.042187587
115.74 secs, 1450 evals, 1331 steps, improv/step: 0.263 (last = 0.5000), fitness=0.042187587
116.28 secs, 1456 evals, 1337 steps, improv/step: 0.263 (last = 0.1667), fitness=0.042187587
116.82 secs, 1462 evals, 1343 steps, improv/step: 0.262 (last = 0.1667), fitness=0.042187587
117.36 secs, 1468 evals, 1349 steps, improv/step: 0.261 (last = 0.0000), fitness=0.042187587
117.91 secs, 1474 evals, 1355 steps, improv/step: 0.261 (last = 0.1667), fitness=0.042187587
118.45 secs, 1480 evals, 1361 steps, improv/step: 0.260 (last = 0.1667), fitness=0.042187587
119.01 secs, 1486 evals, 1367 steps, improv/step: 0.260 (last = 0.1667), fitness=0.042187587
119.53 secs, 1492 evals, 1373 steps, improv/step: 0.259 (last = 0.0000), fitness=0.042187587
120.04 secs, 1498 evals, 1379 steps, improv/step: 0.259 (last = 0.3333), fitness=0.042187587
120.55 secs, 1504 evals, 1385 steps, improv/step: 0.259 (last = 0.3333), fitness=0.042187587
121.07 secs, 1510 evals, 1391 steps, improv/step: 0.260 (last = 0.3333), fitness=0.042187587
121.59 secs, 1516 evals, 1397 steps, improv/step: 0.261 (last = 0.5000), fitness=0.042187587
122.10 secs, 1522 evals, 1403 steps, improv/step: 0.261 (last = 0.3333), fitness=0.042187587
122.62 secs, 1528 evals, 1409 steps, improv/step: 0.261 (last = 0.3333), fitness=0.040486281
123.16 secs, 1534 evals, 1415 steps, improv/step: 0.260 (last = 0.0000), fitness=0.040486281
123.66 secs, 1540 evals, 1421 steps, improv/step: 0.262 (last = 0.6667), fitness=0.040486281
124.19 secs, 1546 evals, 1427 steps, improv/step: 0.261 (last = 0.0000), fitness=0.040486281
124.70 secs, 1552 evals, 1433 steps, improv/step: 0.260 (last = 0.1667), fitness=0.040486281
125.21 secs, 1558 evals, 1439 steps, improv/step: 0.260 (last = 0.1667), fitness=0.040486281
125.72 secs, 1564 evals, 1445 steps, improv/step: 0.260 (last = 0.3333), fitness=0.040486281
126.23 secs, 1570 evals, 1451 steps, improv/step: 0.260 (last = 0.1667), fitness=0.038035101
126.75 secs, 1576 evals, 1457 steps, improv/step: 0.259 (last = 0.0000), fitness=0.038035101
127.26 secs, 1582 evals, 1463 steps, improv/step: 0.259 (last = 0.3333), fitness=0.038035101
127.78 secs, 1588 evals, 1469 steps, improv/step: 0.259 (last = 0.3333), fitness=0.038035101
128.32 secs, 1594 evals, 1475 steps, improv/step: 0.261 (last = 0.6667), fitness=0.038035101
128.84 secs, 1600 evals, 1481 steps, improv/step: 0.261 (last = 0.1667), fitness=0.038035101
129.35 secs, 1606 evals, 1487 steps, improv/step: 0.262 (last = 0.5000), fitness=0.038035101
129.90 secs, 1613 evals, 1494 steps, improv/step: 0.262 (last = 0.2857), fitness=0.038035101
130.40 secs, 1619 evals, 1500 steps, improv/step: 0.263 (last = 0.5000), fitness=0.038035101
130.94 secs, 1625 evals, 1506 steps, improv/step: 0.262 (last = 0.1667), fitness=0.038035101
131.44 secs, 1631 evals, 1512 steps, improv/step: 0.261 (last = 0.0000), fitness=0.038035101
131.99 secs, 1637 evals, 1518 steps, improv/step: 0.262 (last = 0.5000), fitness=0.038035101
132.52 secs, 1643 evals, 1524 steps, improv/step: 0.262 (last = 0.1667), fitness=0.038035101
133.07 secs, 1649 evals, 1530 steps, improv/step: 0.261 (last = 0.1667), fitness=0.038035101
133.66 secs, 1656 evals, 1537 steps, improv/step: 0.262 (last = 0.2857), fitness=0.038035101
134.16 secs, 1662 evals, 1543 steps, improv/step: 0.262 (last = 0.5000), fitness=0.038035101
134.68 secs, 1668 evals, 1549 steps, improv/step: 0.263 (last = 0.3333), fitness=0.038035101
135.22 secs, 1674 evals, 1555 steps, improv/step: 0.262 (last = 0.0000), fitness=0.038035101
135.74 secs, 1680 evals, 1561 steps, improv/step: 0.261 (last = 0.1667), fitness=0.038035101
136.27 secs, 1686 evals, 1567 steps, improv/step: 0.261 (last = 0.1667), fitness=0.038035101
136.80 secs, 1692 evals, 1573 steps, improv/step: 0.261 (last = 0.3333), fitness=0.038035101
137.34 secs, 1698 evals, 1579 steps, improv/step: 0.262 (last = 0.5000), fitness=0.038035101
137.87 secs, 1704 evals, 1585 steps, improv/step: 0.262 (last = 0.1667), fitness=0.038035101
138.38 secs, 1710 evals, 1591 steps, improv/step: 0.262 (last = 0.3333), fitness=0.038035101
138.88 secs, 1716 evals, 1597 steps, improv/step: 0.263 (last = 0.5000), fitness=0.038035101
139.41 secs, 1722 evals, 1603 steps, improv/step: 0.263 (last = 0.1667), fitness=0.038035101
139.92 secs, 1728 evals, 1609 steps, improv/step: 0.263 (last = 0.3333), fitness=0.038035101
140.44 secs, 1734 evals, 1615 steps, improv/step: 0.263 (last = 0.1667), fitness=0.038035101
140.96 secs, 1740 evals, 1621 steps, improv/step: 0.262 (last = 0.0000), fitness=0.038035101
141.49 secs, 1746 evals, 1627 steps, improv/step: 0.261 (last = 0.1667), fitness=0.038035101
142.01 secs, 1752 evals, 1633 steps, improv/step: 0.261 (last = 0.3333), fitness=0.038035101
142.55 secs, 1758 evals, 1639 steps, improv/step: 0.262 (last = 0.5000), fitness=0.038035101
143.13 secs, 1764 evals, 1645 steps, improv/step: 0.262 (last = 0.1667), fitness=0.038035101
143.65 secs, 1770 evals, 1651 steps, improv/step: 0.263 (last = 0.6667), fitness=0.038035101
144.17 secs, 1776 evals, 1657 steps, improv/step: 0.264 (last = 0.5000), fitness=0.038035101
144.68 secs, 1782 evals, 1663 steps, improv/step: 0.265 (last = 0.3333), fitness=0.038035101
145.20 secs, 1788 evals, 1669 steps, improv/step: 0.265 (last = 0.5000), fitness=0.038035101
145.71 secs, 1794 evals, 1675 steps, improv/step: 0.264 (last = 0.0000), fitness=0.038035101
146.23 secs, 1800 evals, 1681 steps, improv/step: 0.265 (last = 0.3333), fitness=0.038035101
146.76 secs, 1806 evals, 1688 steps, improv/step: 0.264 (last = 0.1429), fitness=0.038035101
147.30 secs, 1812 evals, 1694 steps, improv/step: 0.264 (last = 0.1667), fitness=0.038035101
147.85 secs, 1818 evals, 1700 steps, improv/step: 0.265 (last = 0.5000), fitness=0.038035101
148.38 secs, 1824 evals, 1706 steps, improv/step: 0.264 (last = 0.0000), fitness=0.038035101
148.91 secs, 1830 evals, 1712 steps, improv/step: 0.263 (last = 0.1667), fitness=0.038035101
149.45 secs, 1836 evals, 1718 steps, improv/step: 0.264 (last = 0.3333), fitness=0.038035101
149.98 secs, 1842 evals, 1724 steps, improv/step: 0.263 (last = 0.1667), fitness=0.038035101
150.50 secs, 1848 evals, 1730 steps, improv/step: 0.263 (last = 0.1667), fitness=0.038035101
151.04 secs, 1854 evals, 1736 steps, improv/step: 0.263 (last = 0.3333), fitness=0.038035101
151.58 secs, 1860 evals, 1742 steps, improv/step: 0.263 (last = 0.1667), fitness=0.038035101
152.09 secs, 1866 evals, 1748 steps, improv/step: 0.263 (last = 0.3333), fitness=0.038035101
152.61 secs, 1872 evals, 1754 steps, improv/step: 0.262 (last = 0.0000), fitness=0.038035101
153.14 secs, 1879 evals, 1761 steps, improv/step: 0.262 (last = 0.1429), fitness=0.038035101
153.67 secs, 1885 evals, 1767 steps, improv/step: 0.262 (last = 0.3333), fitness=0.038035101
154.19 secs, 1891 evals, 1773 steps, improv/step: 0.261 (last = 0.0000), fitness=0.038035101
154.72 secs, 1897 evals, 1779 steps, improv/step: 0.263 (last = 0.6667), fitness=0.038035101
155.25 secs, 1903 evals, 1785 steps, improv/step: 0.262 (last = 0.1667), fitness=0.037918520
155.78 secs, 1909 evals, 1791 steps, improv/step: 0.263 (last = 0.5000), fitness=0.037918520
156.31 secs, 1915 evals, 1797 steps, improv/step: 0.263 (last = 0.1667), fitness=0.037918520
156.85 secs, 1921 evals, 1803 steps, improv/step: 0.263 (last = 0.3333), fitness=0.037918520
157.37 secs, 1927 evals, 1809 steps, improv/step: 0.263 (last = 0.3333), fitness=0.037918520
157.90 secs, 1933 evals, 1815 steps, improv/step: 0.262 (last = 0.0000), fitness=0.037918520
158.42 secs, 1939 evals, 1821 steps, improv/step: 0.262 (last = 0.1667), fitness=0.037918520
158.92 secs, 1945 evals, 1827 steps, improv/step: 0.262 (last = 0.3333), fitness=0.037918520
159.44 secs, 1951 evals, 1833 steps, improv/step: 0.262 (last = 0.1667), fitness=0.037918520
159.96 secs, 1957 evals, 1839 steps, improv/step: 0.262 (last = 0.1667), fitness=0.037918520
160.47 secs, 1963 evals, 1845 steps, improv/step: 0.262 (last = 0.3333), fitness=0.037918520
160.98 secs, 1969 evals, 1851 steps, improv/step: 0.263 (last = 0.6667), fitness=0.037890829
161.54 secs, 1977 evals, 1859 steps, improv/step: 0.263 (last = 0.2500), fitness=0.037856609
162.13 secs, 1984 evals, 1866 steps, improv/step: 0.263 (last = 0.1429), fitness=0.037856609
162.66 secs, 1990 evals, 1872 steps, improv/step: 0.262 (last = 0.0000), fitness=0.037856609
163.18 secs, 1996 evals, 1878 steps, improv/step: 0.263 (last = 0.6667), fitness=0.037856609
163.71 secs, 2003 evals, 1885 steps, improv/step: 0.263 (last = 0.2857), fitness=0.037856609
164.22 secs, 2009 evals, 1891 steps, improv/step: 0.263 (last = 0.3333), fitness=0.037856609
164.75 secs, 2015 evals, 1897 steps, improv/step: 0.264 (last = 0.3333), fitness=0.037856609
165.29 secs, 2021 evals, 1903 steps, improv/step: 0.263 (last = 0.1667), fitness=0.037856609
165.83 secs, 2027 evals, 1909 steps, improv/step: 0.262 (last = 0.0000), fitness=0.037856609
166.33 secs, 2033 evals, 1915 steps, improv/step: 0.263 (last = 0.5000), fitness=0.037856609
166.87 secs, 2040 evals, 1922 steps, improv/step: 0.264 (last = 0.4286), fitness=0.037856609
167.42 secs, 2048 evals, 1930 steps, improv/step: 0.264 (last = 0.3750), fitness=0.037856609
168.00 secs, 2056 evals, 1938 steps, improv/step: 0.266 (last = 0.6250), fitness=0.037856609
168.55 secs, 2063 evals, 1945 steps, improv/step: 0.266 (last = 0.4286), fitness=0.037856609
169.08 secs, 2070 evals, 1952 steps, improv/step: 0.265 (last = 0.0000), fitness=0.037856609
169.60 secs, 2077 evals, 1959 steps, improv/step: 0.266 (last = 0.4286), fitness=0.037856609
170.11 secs, 2083 evals, 1965 steps, improv/step: 0.266 (last = 0.3333), fitness=0.037856609
170.62 secs, 2089 evals, 1971 steps, improv/step: 0.266 (last = 0.1667), fitness=0.037856609
171.15 secs, 2095 evals, 1977 steps, improv/step: 0.266 (last = 0.3333), fitness=0.037856609
171.67 secs, 2101 evals, 1983 steps, improv/step: 0.267 (last = 0.5000), fitness=0.037856609
172.20 secs, 2107 evals, 1989 steps, improv/step: 0.266 (last = 0.0000), fitness=0.037856609
172.74 secs, 2113 evals, 1995 steps, improv/step: 0.266 (last = 0.1667), fitness=0.037856609
173.31 secs, 2119 evals, 2001 steps, improv/step: 0.266 (last = 0.3333), fitness=0.037856609
173.85 secs, 2125 evals, 2007 steps, improv/step: 0.266 (last = 0.1667), fitness=0.037856609
174.38 secs, 2131 evals, 2013 steps, improv/step: 0.266 (last = 0.5000), fitness=0.037856609
174.90 secs, 2137 evals, 2019 steps, improv/step: 0.267 (last = 0.5000), fitness=0.037856609
175.44 secs, 2143 evals, 2025 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037856609
175.99 secs, 2149 evals, 2031 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037856609
176.55 secs, 2155 evals, 2037 steps, improv/step: 0.268 (last = 0.5000), fitness=0.037856609
177.10 secs, 2161 evals, 2043 steps, improv/step: 0.268 (last = 0.3333), fitness=0.037856609
177.64 secs, 2167 evals, 2049 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037856609
178.17 secs, 2173 evals, 2055 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037856609
178.72 secs, 2179 evals, 2061 steps, improv/step: 0.268 (last = 0.5000), fitness=0.037856609
179.28 secs, 2185 evals, 2067 steps, improv/step: 0.268 (last = 0.3333), fitness=0.037856609
179.86 secs, 2191 evals, 2073 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037856609
180.43 secs, 2197 evals, 2079 steps, improv/step: 0.268 (last = 0.5000), fitness=0.037856609
180.99 secs, 2203 evals, 2085 steps, improv/step: 0.268 (last = 0.3333), fitness=0.037856609
181.55 secs, 2209 evals, 2091 steps, improv/step: 0.268 (last = 0.1667), fitness=0.037856609
182.10 secs, 2215 evals, 2097 steps, improv/step: 0.268 (last = 0.1667), fitness=0.037856609
182.63 secs, 2221 evals, 2103 steps, improv/step: 0.268 (last = 0.5000), fitness=0.037856609
183.17 secs, 2227 evals, 2109 steps, improv/step: 0.268 (last = 0.1667), fitness=0.037856609
183.69 secs, 2233 evals, 2115 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037856609
184.22 secs, 2239 evals, 2121 steps, improv/step: 0.268 (last = 0.5000), fitness=0.037856609
184.72 secs, 2245 evals, 2127 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037856609
185.30 secs, 2252 evals, 2134 steps, improv/step: 0.268 (last = 0.4286), fitness=0.037856609
185.85 secs, 2259 evals, 2141 steps, improv/step: 0.267 (last = 0.1429), fitness=0.037856609
186.36 secs, 2265 evals, 2147 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037856609
186.92 secs, 2271 evals, 2153 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037856609
187.47 secs, 2277 evals, 2159 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037856609
187.99 secs, 2283 evals, 2165 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037856609
188.52 secs, 2289 evals, 2171 steps, improv/step: 0.266 (last = 0.0000), fitness=0.037856609
189.03 secs, 2295 evals, 2177 steps, improv/step: 0.265 (last = 0.0000), fitness=0.037856609
189.55 secs, 2301 evals, 2183 steps, improv/step: 0.266 (last = 0.5000), fitness=0.037856609
190.08 secs, 2307 evals, 2189 steps, improv/step: 0.266 (last = 0.3333), fitness=0.037856609
190.60 secs, 2313 evals, 2195 steps, improv/step: 0.266 (last = 0.3333), fitness=0.037856609
191.15 secs, 2319 evals, 2201 steps, improv/step: 0.266 (last = 0.1667), fitness=0.037856609
191.69 secs, 2325 evals, 2207 steps, improv/step: 0.266 (last = 0.3333), fitness=0.037856609
192.23 secs, 2331 evals, 2213 steps, improv/step: 0.266 (last = 0.3333), fitness=0.037856609
192.76 secs, 2337 evals, 2219 steps, improv/step: 0.267 (last = 0.5000), fitness=0.037856609
193.31 secs, 2343 evals, 2225 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037856609
193.84 secs, 2349 evals, 2231 steps, improv/step: 0.266 (last = 0.1667), fitness=0.037856609
194.39 secs, 2355 evals, 2237 steps, improv/step: 0.266 (last = 0.1667), fitness=0.037856609
194.91 secs, 2361 evals, 2243 steps, improv/step: 0.266 (last = 0.3333), fitness=0.037856609
195.43 secs, 2367 evals, 2249 steps, improv/step: 0.266 (last = 0.3333), fitness=0.037856609
195.98 secs, 2373 evals, 2255 steps, improv/step: 0.266 (last = 0.1667), fitness=0.037856609
196.55 secs, 2379 evals, 2261 steps, improv/step: 0.266 (last = 0.3333), fitness=0.037856609
197.12 secs, 2385 evals, 2267 steps, improv/step: 0.266 (last = 0.3333), fitness=0.037856609
197.68 secs, 2391 evals, 2273 steps, improv/step: 0.266 (last = 0.1667), fitness=0.037856609
198.25 secs, 2397 evals, 2279 steps, improv/step: 0.267 (last = 0.6667), fitness=0.037854010
198.82 secs, 2403 evals, 2285 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037854010
199.39 secs, 2409 evals, 2291 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037854010
199.96 secs, 2415 evals, 2297 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037854010
200.53 secs, 2421 evals, 2303 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037854010
201.08 secs, 2428 evals, 2310 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037854010
201.64 secs, 2436 evals, 2318 steps, improv/step: 0.267 (last = 0.3750), fitness=0.037854010
202.18 secs, 2442 evals, 2324 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037854010
202.74 secs, 2448 evals, 2330 steps, improv/step: 0.268 (last = 0.5000), fitness=0.037854010
203.27 secs, 2454 evals, 2336 steps, improv/step: 0.268 (last = 0.3333), fitness=0.037854010
203.81 secs, 2460 evals, 2342 steps, improv/step: 0.269 (last = 0.5000), fitness=0.037854010
204.35 secs, 2466 evals, 2348 steps, improv/step: 0.268 (last = 0.1667), fitness=0.037854010
204.90 secs, 2472 evals, 2354 steps, improv/step: 0.268 (last = 0.1667), fitness=0.037854010
205.46 secs, 2478 evals, 2360 steps, improv/step: 0.270 (last = 1.0000), fitness=0.037854010
205.99 secs, 2484 evals, 2366 steps, improv/step: 0.269 (last = 0.0000), fitness=0.037854010
206.54 secs, 2490 evals, 2372 steps, improv/step: 0.269 (last = 0.1667), fitness=0.037854010
207.09 secs, 2496 evals, 2378 steps, improv/step: 0.269 (last = 0.3333), fitness=0.037854010
207.66 secs, 2502 evals, 2384 steps, improv/step: 0.269 (last = 0.1667), fitness=0.037854010
208.23 secs, 2508 evals, 2390 steps, improv/step: 0.269 (last = 0.1667), fitness=0.037854010
208.78 secs, 2514 evals, 2396 steps, improv/step: 0.268 (last = 0.0000), fitness=0.037854010
209.32 secs, 2520 evals, 2402 steps, improv/step: 0.268 (last = 0.1667), fitness=0.037854010
209.84 secs, 2526 evals, 2408 steps, improv/step: 0.269 (last = 0.6667), fitness=0.037854010
210.37 secs, 2532 evals, 2414 steps, improv/step: 0.268 (last = 0.0000), fitness=0.037854010
210.94 secs, 2538 evals, 2420 steps, improv/step: 0.268 (last = 0.3333), fitness=0.037854010
211.53 secs, 2544 evals, 2426 steps, improv/step: 0.268 (last = 0.1667), fitness=0.037854010
212.10 secs, 2550 evals, 2432 steps, improv/step: 0.268 (last = 0.3333), fitness=0.037854010
212.66 secs, 2556 evals, 2438 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037854010
213.24 secs, 2562 evals, 2444 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037854010
213.81 secs, 2568 evals, 2450 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037854010
214.37 secs, 2574 evals, 2456 steps, improv/step: 0.266 (last = 0.1667), fitness=0.037854010
214.93 secs, 2580 evals, 2462 steps, improv/step: 0.267 (last = 0.5000), fitness=0.037854010
215.48 secs, 2586 evals, 2468 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037854010
216.01 secs, 2592 evals, 2474 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037853945
216.54 secs, 2598 evals, 2480 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037853945
217.07 secs, 2604 evals, 2486 steps, improv/step: 0.267 (last = 0.5000), fitness=0.037853945
217.60 secs, 2610 evals, 2492 steps, improv/step: 0.268 (last = 0.3333), fitness=0.037853945
218.15 secs, 2616 evals, 2498 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037853945
218.71 secs, 2622 evals, 2504 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037853945
219.24 secs, 2628 evals, 2510 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037853945
219.78 secs, 2634 evals, 2516 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037853945
220.31 secs, 2640 evals, 2522 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037853945
220.83 secs, 2646 evals, 2528 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037853945
221.37 secs, 2652 evals, 2534 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037853945
221.92 secs, 2658 evals, 2540 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037853945
222.44 secs, 2664 evals, 2546 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037853945
222.99 secs, 2670 evals, 2552 steps, improv/step: 0.266 (last = 0.1667), fitness=0.037853945
223.53 secs, 2676 evals, 2558 steps, improv/step: 0.266 (last = 0.1667), fitness=0.037853945
224.11 secs, 2682 evals, 2564 steps, improv/step: 0.266 (last = 0.1667), fitness=0.037853945
224.63 secs, 2688 evals, 2570 steps, improv/step: 0.266 (last = 0.1667), fitness=0.037853945
225.16 secs, 2694 evals, 2576 steps, improv/step: 0.266 (last = 0.1667), fitness=0.037853945
225.69 secs, 2700 evals, 2582 steps, improv/step: 0.265 (last = 0.1667), fitness=0.037853945
226.22 secs, 2706 evals, 2588 steps, improv/step: 0.265 (last = 0.1667), fitness=0.037853945
226.80 secs, 2713 evals, 2595 steps, improv/step: 0.264 (last = 0.0000), fitness=0.037853945
227.37 secs, 2720 evals, 2602 steps, improv/step: 0.264 (last = 0.1429), fitness=0.037853945
227.94 secs, 2727 evals, 2609 steps, improv/step: 0.264 (last = 0.4286), fitness=0.037853945
228.52 secs, 2734 evals, 2616 steps, improv/step: 0.265 (last = 0.4286), fitness=0.037853945
229.03 secs, 2740 evals, 2622 steps, improv/step: 0.267 (last = 1.0000), fitness=0.037853945
229.59 secs, 2746 evals, 2628 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037853945
230.16 secs, 2752 evals, 2634 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037853945
230.71 secs, 2758 evals, 2640 steps, improv/step: 0.266 (last = 0.0000), fitness=0.037853945
231.27 secs, 2764 evals, 2646 steps, improv/step: 0.266 (last = 0.1667), fitness=0.037853945
231.83 secs, 2770 evals, 2652 steps, improv/step: 0.267 (last = 0.6667), fitness=0.037853945
232.39 secs, 2776 evals, 2658 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037853945
232.95 secs, 2782 evals, 2664 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037853945
233.50 secs, 2788 evals, 2670 steps, improv/step: 0.268 (last = 0.5000), fitness=0.037853945
234.07 secs, 2794 evals, 2676 steps, improv/step: 0.268 (last = 0.5000), fitness=0.037853945
234.64 secs, 2800 evals, 2682 steps, improv/step: 0.268 (last = 0.0000), fitness=0.037853945
235.18 secs, 2806 evals, 2688 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037853945
235.74 secs, 2812 evals, 2694 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037853945
236.30 secs, 2818 evals, 2700 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037853945
236.87 secs, 2824 evals, 2706 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037853945
237.45 secs, 2830 evals, 2712 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037853945
238.03 secs, 2836 evals, 2718 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037853945
238.60 secs, 2842 evals, 2724 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037853945
239.18 secs, 2848 evals, 2730 steps, improv/step: 0.267 (last = 0.5000), fitness=0.037853945
239.74 secs, 2854 evals, 2736 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037853074
240.30 secs, 2860 evals, 2742 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037853074
240.86 secs, 2866 evals, 2748 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037853074
241.44 secs, 2872 evals, 2754 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037853074
242.00 secs, 2878 evals, 2760 steps, improv/step: 0.266 (last = 0.1667), fitness=0.037853074
242.57 secs, 2884 evals, 2766 steps, improv/step: 0.267 (last = 0.5000), fitness=0.037852250
243.13 secs, 2890 evals, 2772 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037852250
243.71 secs, 2896 evals, 2778 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037852250
244.25 secs, 2902 evals, 2784 steps, improv/step: 0.267 (last = 0.5000), fitness=0.037852250
244.81 secs, 2908 evals, 2790 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037852250
245.36 secs, 2914 evals, 2796 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037852250
245.94 secs, 2920 evals, 2802 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037852250
246.49 secs, 2926 evals, 2808 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037852250
247.07 secs, 2932 evals, 2814 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037852250
247.63 secs, 2938 evals, 2820 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037852250
248.20 secs, 2944 evals, 2826 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037852250
248.77 secs, 2950 evals, 2832 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037852250
249.30 secs, 2956 evals, 2838 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037852250
249.84 secs, 2962 evals, 2844 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037852250
250.41 secs, 2968 evals, 2850 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037852250
250.96 secs, 2974 evals, 2856 steps, improv/step: 0.267 (last = 0.5000), fitness=0.037852250
251.53 secs, 2980 evals, 2862 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037852250
252.10 secs, 2986 evals, 2868 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037852250
252.67 secs, 2992 evals, 2874 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037852250
253.23 secs, 2998 evals, 2880 steps, improv/step: 0.267 (last = 0.5000), fitness=0.037852250
253.80 secs, 3004 evals, 2886 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037852250
254.37 secs, 3010 evals, 2892 steps, improv/step: 0.266 (last = 0.0000), fitness=0.037852250
254.94 secs, 3016 evals, 2898 steps, improv/step: 0.266 (last = 0.1667), fitness=0.037852250
255.50 secs, 3022 evals, 2904 steps, improv/step: 0.265 (last = 0.0000), fitness=0.037852250
256.07 secs, 3028 evals, 2910 steps, improv/step: 0.266 (last = 0.5000), fitness=0.037852250
256.65 secs, 3034 evals, 2916 steps, improv/step: 0.266 (last = 0.3333), fitness=0.037852250
257.22 secs, 3040 evals, 2922 steps, improv/step: 0.266 (last = 0.1667), fitness=0.037852250
257.79 secs, 3046 evals, 2928 steps, improv/step: 0.266 (last = 0.3333), fitness=0.037852250
258.34 secs, 3052 evals, 2934 steps, improv/step: 0.266 (last = 0.0000), fitness=0.037852250
258.91 secs, 3058 evals, 2940 steps, improv/step: 0.265 (last = 0.1667), fitness=0.037852250
259.46 secs, 3064 evals, 2946 steps, improv/step: 0.265 (last = 0.3333), fitness=0.037852250
260.03 secs, 3070 evals, 2952 steps, improv/step: 0.265 (last = 0.1667), fitness=0.037852250
260.58 secs, 3076 evals, 2958 steps, improv/step: 0.265 (last = 0.3333), fitness=0.037852250
261.16 secs, 3082 evals, 2964 steps, improv/step: 0.265 (last = 0.1667), fitness=0.037852250
261.72 secs, 3088 evals, 2970 steps, improv/step: 0.265 (last = 0.0000), fitness=0.037852250
262.29 secs, 3094 evals, 2976 steps, improv/step: 0.265 (last = 0.3333), fitness=0.037852250
262.86 secs, 3100 evals, 2982 steps, improv/step: 0.265 (last = 0.3333), fitness=0.037852250
263.41 secs, 3106 evals, 2988 steps, improv/step: 0.265 (last = 0.1667), fitness=0.037852250
263.95 secs, 3112 evals, 2994 steps, improv/step: 0.265 (last = 0.1667), fitness=0.037852250
264.50 secs, 3118 evals, 3000 steps, improv/step: 0.265 (last = 0.3333), fitness=0.037852250
265.06 secs, 3124 evals, 3006 steps, improv/step: 0.265 (last = 0.3333), fitness=0.037852250
265.63 secs, 3130 evals, 3012 steps, improv/step: 0.265 (last = 0.5000), fitness=0.037852250
266.19 secs, 3136 evals, 3018 steps, improv/step: 0.265 (last = 0.3333), fitness=0.037852250
266.76 secs, 3142 evals, 3024 steps, improv/step: 0.266 (last = 0.5000), fitness=0.037852250
267.33 secs, 3148 evals, 3030 steps, improv/step: 0.265 (last = 0.0000), fitness=0.037852250
267.91 secs, 3154 evals, 3036 steps, improv/step: 0.266 (last = 0.5000), fitness=0.037852250
268.48 secs, 3160 evals, 3042 steps, improv/step: 0.266 (last = 0.5000), fitness=0.037852136
269.05 secs, 3166 evals, 3048 steps, improv/step: 0.266 (last = 0.3333), fitness=0.037852136
269.63 secs, 3172 evals, 3054 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037852136
270.21 secs, 3178 evals, 3060 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037852136
270.78 secs, 3184 evals, 3066 steps, improv/step: 0.267 (last = 0.5000), fitness=0.037852136
271.35 secs, 3190 evals, 3072 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037852136
271.92 secs, 3196 evals, 3078 steps, improv/step: 0.268 (last = 0.5000), fitness=0.037852136
272.48 secs, 3202 evals, 3084 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037852136
273.05 secs, 3208 evals, 3090 steps, improv/step: 0.268 (last = 0.5000), fitness=0.037852136
273.61 secs, 3214 evals, 3096 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037852136
274.18 secs, 3220 evals, 3102 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037852136
274.76 secs, 3226 evals, 3108 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037852136
275.34 secs, 3232 evals, 3114 steps, improv/step: 0.267 (last = 0.5000), fitness=0.037852136
275.91 secs, 3238 evals, 3120 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037852136
276.49 secs, 3244 evals, 3126 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037852136
277.07 secs, 3250 evals, 3132 steps, improv/step: 0.266 (last = 0.0000), fitness=0.037852136
277.65 secs, 3256 evals, 3138 steps, improv/step: 0.266 (last = 0.1667), fitness=0.037852136
278.23 secs, 3262 evals, 3144 steps, improv/step: 0.267 (last = 0.5000), fitness=0.037852136
278.79 secs, 3268 evals, 3150 steps, improv/step: 0.266 (last = 0.1667), fitness=0.037852136
279.35 secs, 3274 evals, 3156 steps, improv/step: 0.266 (last = 0.1667), fitness=0.037852136
279.91 secs, 3280 evals, 3162 steps, improv/step: 0.266 (last = 0.0000), fitness=0.037852136
280.47 secs, 3286 evals, 3168 steps, improv/step: 0.266 (last = 0.5000), fitness=0.037852136
281.05 secs, 3292 evals, 3174 steps, improv/step: 0.267 (last = 0.5000), fitness=0.037852136
281.60 secs, 3298 evals, 3180 steps, improv/step: 0.267 (last = 0.5000), fitness=0.037852136
282.15 secs, 3304 evals, 3186 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037852136
282.72 secs, 3310 evals, 3192 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037852136
283.31 secs, 3316 evals, 3198 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037852136
283.89 secs, 3322 evals, 3204 steps, improv/step: 0.267 (last = 0.6667), fitness=0.037852136
284.47 secs, 3328 evals, 3210 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037852136
285.05 secs, 3334 evals, 3216 steps, improv/step: 0.267 (last = 0.1667), fitness=0.037852136
285.63 secs, 3340 evals, 3222 steps, improv/step: 0.268 (last = 0.5000), fitness=0.037852136
286.19 secs, 3346 evals, 3228 steps, improv/step: 0.268 (last = 0.5000), fitness=0.037852136
286.76 secs, 3352 evals, 3234 steps, improv/step: 0.268 (last = 0.3333), fitness=0.037852136
287.32 secs, 3358 evals, 3240 steps, improv/step: 0.268 (last = 0.3333), fitness=0.037852136
287.86 secs, 3364 evals, 3246 steps, improv/step: 0.268 (last = 0.3333), fitness=0.037852136
288.43 secs, 3370 evals, 3252 steps, improv/step: 0.268 (last = 0.0000), fitness=0.037852136
288.99 secs, 3376 evals, 3258 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037852136
289.56 secs, 3382 evals, 3264 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037852136
290.14 secs, 3388 evals, 3270 steps, improv/step: 0.266 (last = 0.0000), fitness=0.037852136
290.72 secs, 3394 evals, 3276 steps, improv/step: 0.267 (last = 0.5000), fitness=0.037852136
291.29 secs, 3400 evals, 3282 steps, improv/step: 0.266 (last = 0.0000), fitness=0.037852136
291.86 secs, 3406 evals, 3288 steps, improv/step: 0.266 (last = 0.3333), fitness=0.037852136
292.41 secs, 3412 evals, 3294 steps, improv/step: 0.267 (last = 0.3333), fitness=0.037852136
292.97 secs, 3419 evals, 3301 steps, improv/step: 0.267 (last = 0.2857), fitness=0.037852136
293.54 secs, 3426 evals, 3308 steps, improv/step: 0.267 (last = 0.4286), fitness=0.037852136
294.10 secs, 3434 evals, 3316 steps, improv/step: 0.267 (last = 0.3750), fitness=0.037852136
294.66 secs, 3442 evals, 3324 steps, improv/step: 0.267 (last = 0.3750), fitness=0.037852136
295.23 secs, 3450 evals, 3332 steps, improv/step: 0.268 (last = 0.5000), fitness=0.037852136
295.74 secs, 3457 evals, 3339 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037852136
296.24 secs, 3464 evals, 3346 steps, improv/step: 0.268 (last = 0.4286), fitness=0.037852136
296.76 secs, 3471 evals, 3353 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037852136
297.28 secs, 3478 evals, 3360 steps, improv/step: 0.267 (last = 0.2857), fitness=0.037852136
297.84 secs, 3485 evals, 3367 steps, improv/step: 0.268 (last = 0.4286), fitness=0.037852136
298.37 secs, 3492 evals, 3374 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037852136
298.93 secs, 3500 evals, 3382 steps, improv/step: 0.268 (last = 0.5000), fitness=0.037852136
299.50 secs, 3508 evals, 3390 steps, improv/step: 0.268 (last = 0.2500), fitness=0.037852136
300.06 secs, 3516 evals, 3398 steps, improv/step: 0.268 (last = 0.6250), fitness=0.037852136
300.62 secs, 3524 evals, 3406 steps, improv/step: 0.269 (last = 0.5000), fitness=0.037852136
301.18 secs, 3532 evals, 3414 steps, improv/step: 0.269 (last = 0.1250), fitness=0.037852136
301.74 secs, 3540 evals, 3422 steps, improv/step: 0.269 (last = 0.3750), fitness=0.037852136
302.32 secs, 3548 evals, 3430 steps, improv/step: 0.269 (last = 0.2500), fitness=0.037852136
302.84 secs, 3555 evals, 3437 steps, improv/step: 0.269 (last = 0.2857), fitness=0.037852136
303.40 secs, 3563 evals, 3445 steps, improv/step: 0.269 (last = 0.3750), fitness=0.037852136
303.96 secs, 3571 evals, 3453 steps, improv/step: 0.269 (last = 0.3750), fitness=0.037852133
304.47 secs, 3578 evals, 3460 steps, improv/step: 0.269 (last = 0.1429), fitness=0.037852133
305.05 secs, 3586 evals, 3468 steps, improv/step: 0.268 (last = 0.0000), fitness=0.037852133
305.55 secs, 3593 evals, 3475 steps, improv/step: 0.268 (last = 0.0000), fitness=0.037852133
306.06 secs, 3600 evals, 3482 steps, improv/step: 0.268 (last = 0.1429), fitness=0.037852133
306.63 secs, 3608 evals, 3490 steps, improv/step: 0.268 (last = 0.2500), fitness=0.037852133
307.14 secs, 3615 evals, 3497 steps, improv/step: 0.268 (last = 0.2857), fitness=0.037852133
307.66 secs, 3622 evals, 3504 steps, improv/step: 0.268 (last = 0.5714), fitness=0.037852133
308.16 secs, 3628 evals, 3510 steps, improv/step: 0.268 (last = 0.1667), fitness=0.037852133
308.70 secs, 3635 evals, 3517 steps, improv/step: 0.268 (last = 0.1429), fitness=0.037852133
309.27 secs, 3642 evals, 3524 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037852133
309.83 secs, 3650 evals, 3532 steps, improv/step: 0.268 (last = 0.3750), fitness=0.037852133
310.39 secs, 3658 evals, 3540 steps, improv/step: 0.268 (last = 0.2500), fitness=0.037852133
310.94 secs, 3666 evals, 3548 steps, improv/step: 0.267 (last = 0.1250), fitness=0.037852133
311.51 secs, 3674 evals, 3556 steps, improv/step: 0.268 (last = 0.5000), fitness=0.037852133
312.05 secs, 3681 evals, 3563 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037852133
312.62 secs, 3689 evals, 3571 steps, improv/step: 0.267 (last = 0.2500), fitness=0.037852133
313.18 secs, 3697 evals, 3579 steps, improv/step: 0.267 (last = 0.1250), fitness=0.037852133
313.73 secs, 3705 evals, 3587 steps, improv/step: 0.267 (last = 0.3750), fitness=0.037852128
314.24 secs, 3712 evals, 3594 steps, improv/step: 0.267 (last = 0.4286), fitness=0.037852128
314.81 secs, 3720 evals, 3602 steps, improv/step: 0.268 (last = 0.6250), fitness=0.037852128
315.34 secs, 3727 evals, 3609 steps, improv/step: 0.268 (last = 0.0000), fitness=0.037852128
315.90 secs, 3735 evals, 3617 steps, improv/step: 0.268 (last = 0.3750), fitness=0.037852128
316.41 secs, 3742 evals, 3624 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037852128
316.93 secs, 3749 evals, 3631 steps, improv/step: 0.267 (last = 0.2857), fitness=0.037852128
317.49 secs, 3757 evals, 3639 steps, improv/step: 0.267 (last = 0.2500), fitness=0.037852128
318.06 secs, 3765 evals, 3647 steps, improv/step: 0.268 (last = 0.3750), fitness=0.037852128
318.61 secs, 3773 evals, 3655 steps, improv/step: 0.268 (last = 0.2500), fitness=0.037852128
319.18 secs, 3781 evals, 3663 steps, improv/step: 0.267 (last = 0.1250), fitness=0.037852128
319.73 secs, 3788 evals, 3670 steps, improv/step: 0.267 (last = 0.2857), fitness=0.037852128
320.28 secs, 3796 evals, 3678 steps, improv/step: 0.268 (last = 0.3750), fitness=0.037852128
320.83 secs, 3804 evals, 3686 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037852128
321.39 secs, 3812 evals, 3694 steps, improv/step: 0.267 (last = 0.1250), fitness=0.037852128
321.95 secs, 3820 evals, 3702 steps, improv/step: 0.267 (last = 0.5000), fitness=0.037852128
322.45 secs, 3827 evals, 3709 steps, improv/step: 0.267 (last = 0.4286), fitness=0.037852128
323.02 secs, 3835 evals, 3717 steps, improv/step: 0.267 (last = 0.1250), fitness=0.037852128
323.57 secs, 3843 evals, 3725 steps, improv/step: 0.268 (last = 0.5000), fitness=0.037852128
324.12 secs, 3851 evals, 3733 steps, improv/step: 0.267 (last = 0.1250), fitness=0.037852128
324.67 secs, 3859 evals, 3741 steps, improv/step: 0.267 (last = 0.2500), fitness=0.037852128
325.23 secs, 3867 evals, 3749 steps, improv/step: 0.267 (last = 0.1250), fitness=0.037852128
325.77 secs, 3875 evals, 3757 steps, improv/step: 0.267 (last = 0.3750), fitness=0.037852128
326.33 secs, 3883 evals, 3765 steps, improv/step: 0.267 (last = 0.2500), fitness=0.037852128
326.89 secs, 3891 evals, 3773 steps, improv/step: 0.267 (last = 0.2500), fitness=0.037852128
327.43 secs, 3899 evals, 3781 steps, improv/step: 0.267 (last = 0.1250), fitness=0.037852128
327.98 secs, 3907 evals, 3789 steps, improv/step: 0.267 (last = 0.3750), fitness=0.037852128
328.52 secs, 3915 evals, 3797 steps, improv/step: 0.267 (last = 0.2500), fitness=0.037852128
329.07 secs, 3923 evals, 3805 steps, improv/step: 0.267 (last = 0.1250), fitness=0.037852128
329.62 secs, 3931 evals, 3813 steps, improv/step: 0.266 (last = 0.1250), fitness=0.037852128
330.17 secs, 3939 evals, 3821 steps, improv/step: 0.267 (last = 0.3750), fitness=0.037852128
330.71 secs, 3947 evals, 3829 steps, improv/step: 0.267 (last = 0.2500), fitness=0.037852128
331.27 secs, 3955 evals, 3837 steps, improv/step: 0.267 (last = 0.2500), fitness=0.037852128
331.83 secs, 3963 evals, 3845 steps, improv/step: 0.267 (last = 0.2500), fitness=0.037852128
332.37 secs, 3971 evals, 3853 steps, improv/step: 0.266 (last = 0.1250), fitness=0.037852128
332.93 secs, 3979 evals, 3861 steps, improv/step: 0.267 (last = 0.3750), fitness=0.037852128
333.49 secs, 3987 evals, 3869 steps, improv/step: 0.267 (last = 0.5000), fitness=0.037852128
334.05 secs, 3995 evals, 3877 steps, improv/step: 0.267 (last = 0.1250), fitness=0.037852128
334.61 secs, 4003 evals, 3885 steps, improv/step: 0.266 (last = 0.1250), fitness=0.037852128
335.17 secs, 4011 evals, 3893 steps, improv/step: 0.266 (last = 0.2500), fitness=0.037852128
335.72 secs, 4019 evals, 3901 steps, improv/step: 0.267 (last = 0.3750), fitness=0.037852128
336.28 secs, 4027 evals, 3909 steps, improv/step: 0.267 (last = 0.3750), fitness=0.037852128
336.83 secs, 4035 evals, 3917 steps, improv/step: 0.267 (last = 0.1250), fitness=0.037852128
337.39 secs, 4043 evals, 3925 steps, improv/step: 0.266 (last = 0.1250), fitness=0.037852128
337.89 secs, 4050 evals, 3932 steps, improv/step: 0.266 (last = 0.1429), fitness=0.037852128
338.45 secs, 4058 evals, 3940 steps, improv/step: 0.266 (last = 0.2500), fitness=0.037852128
339.01 secs, 4066 evals, 3948 steps, improv/step: 0.266 (last = 0.3750), fitness=0.037852128
339.57 secs, 4074 evals, 3956 steps, improv/step: 0.267 (last = 0.6250), fitness=0.037852128
340.07 secs, 4081 evals, 3963 steps, improv/step: 0.267 (last = 0.2857), fitness=0.037852128
340.64 secs, 4088 evals, 3970 steps, improv/step: 0.268 (last = 0.5714), fitness=0.037852128
341.17 secs, 4095 evals, 3977 steps, improv/step: 0.268 (last = 0.5714), fitness=0.037852128
341.72 secs, 4103 evals, 3985 steps, improv/step: 0.268 (last = 0.1250), fitness=0.037852128
342.28 secs, 4111 evals, 3993 steps, improv/step: 0.267 (last = 0.1250), fitness=0.037852128
342.79 secs, 4118 evals, 4000 steps, improv/step: 0.267 (last = 0.1429), fitness=0.037852128
343.34 secs, 4126 evals, 4008 steps, improv/step: 0.267 (last = 0.2500), fitness=0.037852126
343.89 secs, 4134 evals, 4016 steps, improv/step: 0.268 (last = 0.6250), fitness=0.037852126
344.44 secs, 4142 evals, 4024 steps, improv/step: 0.268 (last = 0.1250), fitness=0.037852124
344.96 secs, 4149 evals, 4031 steps, improv/step: 0.267 (last = 0.1429), fitness=0.037852124
345.52 secs, 4156 evals, 4038 steps, improv/step: 0.267 (last = 0.2857), fitness=0.037852124
346.02 secs, 4163 evals, 4045 steps, improv/step: 0.267 (last = 0.2857), fitness=0.037852124
346.57 secs, 4171 evals, 4053 steps, improv/step: 0.268 (last = 0.5000), fitness=0.037852124
347.13 secs, 4179 evals, 4061 steps, improv/step: 0.268 (last = 0.1250), fitness=0.037852124
347.69 secs, 4186 evals, 4068 steps, improv/step: 0.268 (last = 0.4286), fitness=0.037852124
348.21 secs, 4192 evals, 4074 steps, improv/step: 0.268 (last = 0.5000), fitness=0.037852124
348.72 secs, 4198 evals, 4080 steps, improv/step: 0.268 (last = 0.3333), fitness=0.037852124
349.22 secs, 4204 evals, 4086 steps, improv/step: 0.268 (last = 0.3333), fitness=0.037852124
349.72 secs, 4210 evals, 4092 steps, improv/step: 0.269 (last = 0.3333), fitness=0.037852124
350.29 secs, 4217 evals, 4099 steps, improv/step: 0.269 (last = 0.2857), fitness=0.037852124
350.87 secs, 4224 evals, 4106 steps, improv/step: 0.269 (last = 0.4286), fitness=0.037852124
351.42 secs, 4230 evals, 4112 steps, improv/step: 0.269 (last = 0.3333), fitness=0.037852124
351.98 secs, 4236 evals, 4118 steps, improv/step: 0.269 (last = 0.0000), fitness=0.037852124
352.53 secs, 4242 evals, 4124 steps, improv/step: 0.269 (last = 0.5000), fitness=0.037852124
353.07 secs, 4248 evals, 4130 steps, improv/step: 0.269 (last = 0.3333), fitness=0.037852124
353.63 secs, 4254 evals, 4136 steps, improv/step: 0.269 (last = 0.3333), fitness=0.037852124
354.21 secs, 4260 evals, 4142 steps, improv/step: 0.269 (last = 0.3333), fitness=0.037852124
354.77 secs, 4266 evals, 4148 steps, improv/step: 0.269 (last = 0.0000), fitness=0.037852124
355.33 secs, 4272 evals, 4154 steps, improv/step: 0.269 (last = 0.1667), fitness=0.037852124
355.89 secs, 4278 evals, 4160 steps, improv/step: 0.269 (last = 0.1667), fitness=0.037852124
356.43 secs, 4284 evals, 4166 steps, improv/step: 0.268 (last = 0.0000), fitness=0.037852124
357.00 secs, 4290 evals, 4172 steps, improv/step: 0.268 (last = 0.1667), fitness=0.037852124
357.56 secs, 4296 evals, 4178 steps, improv/step: 0.268 (last = 0.3333), fitness=0.037852124
358.08 secs, 4302 evals, 4184 steps, improv/step: 0.268 (last = 0.3333), fitness=0.037852124
358.64 secs, 4308 evals, 4190 steps, improv/step: 0.268 (last = 0.1667), fitness=0.037852124
359.20 secs, 4314 evals, 4196 steps, improv/step: 0.268 (last = 0.0000), fitness=0.037852124
359.76 secs, 4320 evals, 4202 steps, improv/step: 0.268 (last = 0.5000), fitness=0.037852124
360.31 secs, 4326 evals, 4208 steps, improv/step: 0.268 (last = 0.5000), fitness=0.037852124
360.87 secs, 4332 evals, 4214 steps, improv/step: 0.269 (last = 0.5000), fitness=0.037852124
361.42 secs, 4338 evals, 4220 steps, improv/step: 0.269 (last = 0.3333), fitness=0.037852124
361.98 secs, 4344 evals, 4226 steps, improv/step: 0.269 (last = 0.1667), fitness=0.037852124
362.54 secs, 4350 evals, 4232 steps, improv/step: 0.269 (last = 0.3333), fitness=0.037852124
363.10 secs, 4356 evals, 4238 steps, improv/step: 0.269 (last = 0.3333), fitness=0.037852124
363.67 secs, 4362 evals, 4244 steps, improv/step: 0.269 (last = 0.1667), fitness=0.037852124
364.23 secs, 4368 evals, 4250 steps, improv/step: 0.268 (last = 0.1667), fitness=0.037852124
364.79 secs, 4374 evals, 4256 steps, improv/step: 0.269 (last = 0.5000), fitness=0.037852124
365.32 secs, 4380 evals, 4262 steps, improv/step: 0.269 (last = 0.3333), fitness=0.037852124
365.85 secs, 4386 evals, 4268 steps, improv/step: 0.269 (last = 0.1667), fitness=0.037852124
366.38 secs, 4392 evals, 4274 steps, improv/step: 0.269 (last = 0.1667), fitness=0.037852124
366.91 secs, 4398 evals, 4280 steps, improv/step: 0.268 (last = 0.0000), fitness=0.037852124
367.49 secs, 4405 evals, 4287 steps, improv/step: 0.268 (last = 0.2857), fitness=0.037852124
368.04 secs, 4412 evals, 4294 steps, improv/step: 0.268 (last = 0.1429), fitness=0.037852124
368.58 secs, 4420 evals, 4302 steps, improv/step: 0.268 (last = 0.3750), fitness=0.037852124
369.14 secs, 4428 evals, 4310 steps, improv/step: 0.268 (last = 0.1250), fitness=0.037852124
369.71 secs, 4436 evals, 4318 steps, improv/step: 0.267 (last = 0.0000), fitness=0.037852124
370.28 secs, 4444 evals, 4326 steps, improv/step: 0.267 (last = 0.2500), fitness=0.037852124
370.84 secs, 4452 evals, 4334 steps, improv/step: 0.267 (last = 0.1250), fitness=0.037852124
371.39 secs, 4460 evals, 4342 steps, improv/step: 0.267 (last = 0.1250), fitness=0.037852124
371.95 secs, 4468 evals, 4350 steps, improv/step: 0.267 (last = 0.3750), fitness=0.037852124
372.48 secs, 4476 evals, 4358 steps, improv/step: 0.267 (last = 0.2500), fitness=0.037852124
373.02 secs, 4484 evals, 4366 steps, improv/step: 0.267 (last = 0.1250), fitness=0.037852124
373.57 secs, 4492 evals, 4374 steps, improv/step: 0.266 (last = 0.0000), fitness=0.037852124
374.10 secs, 4500 evals, 4382 steps, improv/step: 0.266 (last = 0.1250), fitness=0.037852124
374.64 secs, 4508 evals, 4390 steps, improv/step: 0.266 (last = 0.2500), fitness=0.037852124
375.17 secs, 4516 evals, 4398 steps, improv/step: 0.266 (last = 0.0000), fitness=0.037852124
375.72 secs, 4524 evals, 4406 steps, improv/step: 0.265 (last = 0.0000), fitness=0.037852124
376.26 secs, 4532 evals, 4414 steps, improv/step: 0.265 (last = 0.1250), fitness=0.037852124
376.78 secs, 4539 evals, 4421 steps, improv/step: 0.265 (last = 0.1429), fitness=0.037852124
377.31 secs, 4547 evals, 4429 steps, improv/step: 0.264 (last = 0.0000), fitness=0.037852124
377.84 secs, 4555 evals, 4437 steps, improv/step: 0.264 (last = 0.3750), fitness=0.037852124
378.39 secs, 4563 evals, 4445 steps, improv/step: 0.264 (last = 0.1250), fitness=0.037852124
378.95 secs, 4571 evals, 4453 steps, improv/step: 0.264 (last = 0.0000), fitness=0.037852124
379.50 secs, 4579 evals, 4461 steps, improv/step: 0.264 (last = 0.3750), fitness=0.037852124
380.07 secs, 4587 evals, 4469 steps, improv/step: 0.264 (last = 0.1250), fitness=0.037852124
380.57 secs, 4594 evals, 4476 steps, improv/step: 0.263 (last = 0.1429), fitness=0.037852124
381.15 secs, 4601 evals, 4483 steps, improv/step: 0.263 (last = 0.1429), fitness=0.037852124
381.67 secs, 4607 evals, 4489 steps, improv/step: 0.263 (last = 0.1667), fitness=0.037852124
382.24 secs, 4613 evals, 4495 steps, improv/step: 0.263 (last = 0.3333), fitness=0.037852124
382.79 secs, 4619 evals, 4501 steps, improv/step: 0.263 (last = 0.1667), fitness=0.037852124
383.36 secs, 4625 evals, 4507 steps, improv/step: 0.263 (last = 0.1667), fitness=0.037852124
383.92 secs, 4631 evals, 4513 steps, improv/step: 0.263 (last = 0.1667), fitness=0.037852124
384.46 secs, 4637 evals, 4519 steps, improv/step: 0.263 (last = 0.1667), fitness=0.037852124
384.97 secs, 4643 evals, 4525 steps, improv/step: 0.263 (last = 0.1667), fitness=0.037852124
385.47 secs, 4649 evals, 4531 steps, improv/step: 0.262 (last = 0.1667), fitness=0.037852124
386.05 secs, 4656 evals, 4538 steps, improv/step: 0.262 (last = 0.0000), fitness=0.037852124
386.61 secs, 4663 evals, 4545 steps, improv/step: 0.262 (last = 0.2857), fitness=0.037852124
387.18 secs, 4670 evals, 4552 steps, improv/step: 0.262 (last = 0.0000), fitness=0.037852124
387.72 secs, 4676 evals, 4558 steps, improv/step: 0.262 (last = 0.3333), fitness=0.037852124
388.28 secs, 4682 evals, 4564 steps, improv/step: 0.262 (last = 0.1667), fitness=0.037852124
388.83 secs, 4688 evals, 4570 steps, improv/step: 0.261 (last = 0.0000), fitness=0.037852124
389.38 secs, 4694 evals, 4576 steps, improv/step: 0.262 (last = 0.6667), fitness=0.037852123
389.88 secs, 4700 evals, 4582 steps, improv/step: 0.262 (last = 0.1667), fitness=0.037852123
390.43 secs, 4707 evals, 4589 steps, improv/step: 0.261 (last = 0.1429), fitness=0.037852123
390.98 secs, 4713 evals, 4595 steps, improv/step: 0.261 (last = 0.1667), fitness=0.037852123
391.55 secs, 4719 evals, 4601 steps, improv/step: 0.261 (last = 0.0000), fitness=0.037852123
392.11 secs, 4725 evals, 4607 steps, improv/step: 0.261 (last = 0.3333), fitness=0.037852122
392.68 secs, 4731 evals, 4613 steps, improv/step: 0.261 (last = 0.3333), fitness=0.037852122
393.24 secs, 4737 evals, 4619 steps, improv/step: 0.261 (last = 0.3333), fitness=0.037852122
393.78 secs, 4743 evals, 4625 steps, improv/step: 0.261 (last = 0.0000), fitness=0.037852122
394.37 secs, 4749 evals, 4631 steps, improv/step: 0.261 (last = 0.1667), fitness=0.037852122
394.94 secs, 4755 evals, 4637 steps, improv/step: 0.261 (last = 0.1667), fitness=0.037852122
395.51 secs, 4761 evals, 4643 steps, improv/step: 0.260 (last = 0.0000), fitness=0.037852122
396.07 secs, 4767 evals, 4649 steps, improv/step: 0.260 (last = 0.0000), fitness=0.037852122
396.58 secs, 4773 evals, 4655 steps, improv/step: 0.260 (last = 0.5000), fitness=0.037852122
397.16 secs, 4780 evals, 4662 steps, improv/step: 0.260 (last = 0.1429), fitness=0.037852122
397.67 secs, 4786 evals, 4668 steps, improv/step: 0.260 (last = 0.1667), fitness=0.037852122
398.17 secs, 4793 evals, 4675 steps, improv/step: 0.260 (last = 0.0000), fitness=0.037852122
398.74 secs, 4801 evals, 4683 steps, improv/step: 0.259 (last = 0.1250), fitness=0.037852122
399.31 secs, 4809 evals, 4691 steps, improv/step: 0.259 (last = 0.2500), fitness=0.037852122
399.87 secs, 4817 evals, 4699 steps, improv/step: 0.259 (last = 0.1250), fitness=0.037852122
400.38 secs, 4824 evals, 4706 steps, improv/step: 0.259 (last = 0.2857), fitness=0.037852122
400.94 secs, 4832 evals, 4714 steps, improv/step: 0.259 (last = 0.0000), fitness=0.037852122
401.50 secs, 4840 evals, 4722 steps, improv/step: 0.258 (last = 0.0000), fitness=0.037852122
402.01 secs, 4847 evals, 4729 steps, improv/step: 0.258 (last = 0.1429), fitness=0.037852122
402.56 secs, 4855 evals, 4737 steps, improv/step: 0.258 (last = 0.0000), fitness=0.037852122
403.11 secs, 4863 evals, 4745 steps, improv/step: 0.258 (last = 0.1250), fitness=0.037852122
403.66 secs, 4871 evals, 4753 steps, improv/step: 0.258 (last = 0.2500), fitness=0.037852122
404.22 secs, 4879 evals, 4761 steps, improv/step: 0.257 (last = 0.1250), fitness=0.037852122
404.78 secs, 4887 evals, 4769 steps, improv/step: 0.257 (last = 0.1250), fitness=0.037852122
405.28 secs, 4894 evals, 4776 steps, improv/step: 0.257 (last = 0.1429), fitness=0.037852122
405.84 secs, 4901 evals, 4783 steps, improv/step: 0.257 (last = 0.2857), fitness=0.037852122
406.34 secs, 4907 evals, 4789 steps, improv/step: 0.257 (last = 0.1667), fitness=0.037852122
406.91 secs, 4915 evals, 4797 steps, improv/step: 0.256 (last = 0.0000), fitness=0.037852122
407.47 secs, 4923 evals, 4805 steps, improv/step: 0.256 (last = 0.0000), fitness=0.037852122
408.03 secs, 4931 evals, 4813 steps, improv/step: 0.256 (last = 0.2500), fitness=0.037852122
408.59 secs, 4939 evals, 4821 steps, improv/step: 0.256 (last = 0.1250), fitness=0.037852122
409.11 secs, 4945 evals, 4827 steps, improv/step: 0.255 (last = 0.0000), fitness=0.037852122
409.67 secs, 4952 evals, 4834 steps, improv/step: 0.255 (last = 0.0000), fitness=0.037852122
410.21 secs, 4958 evals, 4840 steps, improv/step: 0.255 (last = 0.1667), fitness=0.037852122
410.78 secs, 4965 evals, 4847 steps, improv/step: 0.255 (last = 0.2857), fitness=0.037852122
411.29 secs, 4971 evals, 4853 steps, improv/step: 0.255 (last = 0.1667), fitness=0.037852122
411.80 secs, 4977 evals, 4859 steps, improv/step: 0.255 (last = 0.3333), fitness=0.037852122
412.38 secs, 4984 evals, 4866 steps, improv/step: 0.255 (last = 0.0000), fitness=0.037852122
412.89 secs, 4990 evals, 4872 steps, improv/step: 0.255 (last = 0.1667), fitness=0.037852122
413.41 secs, 4996 evals, 4878 steps, improv/step: 0.254 (last = 0.0000), fitness=0.037852122
413.92 secs, 5002 evals, 4884 steps, improv/step: 0.254 (last = 0.3333), fitness=0.037852122
414.45 secs, 5008 evals, 4890 steps, improv/step: 0.254 (last = 0.0000), fitness=0.037852122
415.00 secs, 5014 evals, 4896 steps, improv/step: 0.254 (last = 0.0000), fitness=0.037852122
415.53 secs, 5020 evals, 4902 steps, improv/step: 0.253 (last = 0.0000), fitness=0.037852122
416.08 secs, 5026 evals, 4908 steps, improv/step: 0.253 (last = 0.1667), fitness=0.037852122
416.63 secs, 5032 evals, 4914 steps, improv/step: 0.253 (last = 0.0000), fitness=0.037852122
417.18 secs, 5038 evals, 4920 steps, improv/step: 0.253 (last = 0.3333), fitness=0.037852122
417.74 secs, 5044 evals, 4926 steps, improv/step: 0.253 (last = 0.0000), fitness=0.037852122
418.29 secs, 5050 evals, 4932 steps, improv/step: 0.252 (last = 0.0000), fitness=0.037852122
418.85 secs, 5056 evals, 4938 steps, improv/step: 0.253 (last = 0.3333), fitness=0.037852122
419.40 secs, 5062 evals, 4944 steps, improv/step: 0.252 (last = 0.0000), fitness=0.037852122
419.95 secs, 5068 evals, 4950 steps, improv/step: 0.252 (last = 0.3333), fitness=0.037852122
420.50 secs, 5074 evals, 4956 steps, improv/step: 0.252 (last = 0.1667), fitness=0.037852122
421.05 secs, 5080 evals, 4962 steps, improv/step: 0.252 (last = 0.3333), fitness=0.037852122
421.60 secs, 5086 evals, 4968 steps, improv/step: 0.252 (last = 0.0000), fitness=0.037852122
422.16 secs, 5092 evals, 4974 steps, improv/step: 0.252 (last = 0.1667), fitness=0.037852122
422.71 secs, 5098 evals, 4980 steps, improv/step: 0.252 (last = 0.1667), fitness=0.037852122
423.27 secs, 5104 evals, 4986 steps, improv/step: 0.252 (last = 0.0000), fitness=0.037852122
423.82 secs, 5110 evals, 4992 steps, improv/step: 0.251 (last = 0.1667), fitness=0.037852122
424.35 secs, 5116 evals, 4998 steps, improv/step: 0.251 (last = 0.1667), fitness=0.037852122
424.90 secs, 5122 evals, 5004 steps, improv/step: 0.251 (last = 0.0000), fitness=0.037852122
425.45 secs, 5128 evals, 5010 steps, improv/step: 0.251 (last = 0.0000), fitness=0.037852122
425.98 secs, 5134 evals, 5016 steps, improv/step: 0.250 (last = 0.0000), fitness=0.037852122
426.52 secs, 5140 evals, 5022 steps, improv/step: 0.250 (last = 0.0000), fitness=0.037852122
427.07 secs, 5146 evals, 5028 steps, improv/step: 0.250 (last = 0.0000), fitness=0.037852122
427.61 secs, 5152 evals, 5034 steps, improv/step: 0.250 (last = 0.0000), fitness=0.037852122
428.15 secs, 5158 evals, 5040 steps, improv/step: 0.249 (last = 0.0000), fitness=0.037852122
428.70 secs, 5164 evals, 5046 steps, improv/step: 0.249 (last = 0.0000), fitness=0.037852122
429.23 secs, 5170 evals, 5052 steps, improv/step: 0.249 (last = 0.0000), fitness=0.037852122
429.77 secs, 5176 evals, 5058 steps, improv/step: 0.249 (last = 0.1667), fitness=0.037852122
430.31 secs, 5182 evals, 5064 steps, improv/step: 0.248 (last = 0.0000), fitness=0.037852122
430.84 secs, 5188 evals, 5070 steps, improv/step: 0.248 (last = 0.0000), fitness=0.037852122
431.39 secs, 5194 evals, 5076 steps, improv/step: 0.248 (last = 0.1667), fitness=0.037852122
431.94 secs, 5200 evals, 5082 steps, improv/step: 0.248 (last = 0.0000), fitness=0.037852122
432.46 secs, 5206 evals, 5088 steps, improv/step: 0.247 (last = 0.1667), fitness=0.037852122
433.00 secs, 5212 evals, 5094 steps, improv/step: 0.247 (last = 0.0000), fitness=0.037852122
433.54 secs, 5218 evals, 5100 steps, improv/step: 0.247 (last = 0.0000), fitness=0.037852122
434.08 secs, 5224 evals, 5106 steps, improv/step: 0.247 (last = 0.0000), fitness=0.037852122
434.61 secs, 5230 evals, 5112 steps, improv/step: 0.246 (last = 0.0000), fitness=0.037852122
435.16 secs, 5236 evals, 5118 steps, improv/step: 0.246 (last = 0.1667), fitness=0.037852122
435.70 secs, 5242 evals, 5124 steps, improv/step: 0.246 (last = 0.1667), fitness=0.037852122
436.25 secs, 5248 evals, 5130 steps, improv/step: 0.246 (last = 0.0000), fitness=0.037852122
436.79 secs, 5254 evals, 5136 steps, improv/step: 0.246 (last = 0.1667), fitness=0.037852122
437.33 secs, 5260 evals, 5142 steps, improv/step: 0.246 (last = 0.3333), fitness=0.037852122
437.87 secs, 5266 evals, 5148 steps, improv/step: 0.246 (last = 0.0000), fitness=0.037852122
438.41 secs, 5272 evals, 5154 steps, improv/step: 0.245 (last = 0.0000), fitness=0.037852122
438.94 secs, 5278 evals, 5160 steps, improv/step: 0.245 (last = 0.1667), fitness=0.037852122
439.49 secs, 5284 evals, 5166 steps, improv/step: 0.245 (last = 0.0000), fitness=0.037852122
440.03 secs, 5290 evals, 5172 steps, improv/step: 0.245 (last = 0.1667), fitness=0.037852122
440.57 secs, 5296 evals, 5178 steps, improv/step: 0.245 (last = 0.3333), fitness=0.037852122
441.11 secs, 5302 evals, 5184 steps, improv/step: 0.245 (last = 0.0000), fitness=0.037852122
441.65 secs, 5308 evals, 5190 steps, improv/step: 0.244 (last = 0.0000), fitness=0.037852122
442.20 secs, 5314 evals, 5196 steps, improv/step: 0.244 (last = 0.0000), fitness=0.037852122
442.74 secs, 5320 evals, 5202 steps, improv/step: 0.244 (last = 0.0000), fitness=0.037852122
443.28 secs, 5326 evals, 5208 steps, improv/step: 0.244 (last = 0.3333), fitness=0.037852122
443.83 secs, 5332 evals, 5214 steps, improv/step: 0.244 (last = 0.0000), fitness=0.037852122
444.37 secs, 5338 evals, 5220 steps, improv/step: 0.243 (last = 0.1667), fitness=0.037852122
444.92 secs, 5344 evals, 5226 steps, improv/step: 0.244 (last = 0.3333), fitness=0.037852122
445.47 secs, 5350 evals, 5232 steps, improv/step: 0.244 (last = 0.1667), fitness=0.037852122
446.01 secs, 5356 evals, 5238 steps, improv/step: 0.243 (last = 0.1667), fitness=0.037852122
446.55 secs, 5362 evals, 5244 steps, improv/step: 0.243 (last = 0.0000), fitness=0.037852122
447.08 secs, 5368 evals, 5250 steps, improv/step: 0.243 (last = 0.1667), fitness=0.037852122
447.62 secs, 5374 evals, 5256 steps, improv/step: 0.243 (last = 0.0000), fitness=0.037852122
448.16 secs, 5380 evals, 5262 steps, improv/step: 0.242 (last = 0.0000), fitness=0.037852122
448.72 secs, 5386 evals, 5268 steps, improv/step: 0.242 (last = 0.1667), fitness=0.037852122
449.27 secs, 5392 evals, 5274 steps, improv/step: 0.243 (last = 0.3333), fitness=0.037852122
449.81 secs, 5398 evals, 5280 steps, improv/step: 0.242 (last = 0.0000), fitness=0.037852122
450.35 secs, 5404 evals, 5286 steps, improv/step: 0.242 (last = 0.0000), fitness=0.037852122
450.90 secs, 5410 evals, 5292 steps, improv/step: 0.242 (last = 0.1667), fitness=0.037852122
451.44 secs, 5416 evals, 5298 steps, improv/step: 0.242 (last = 0.0000), fitness=0.037852122
451.98 secs, 5422 evals, 5304 steps, improv/step: 0.241 (last = 0.0000), fitness=0.037852122
452.53 secs, 5428 evals, 5310 steps, improv/step: 0.241 (last = 0.0000), fitness=0.037852122
453.09 secs, 5434 evals, 5316 steps, improv/step: 0.241 (last = 0.0000), fitness=0.037852122
453.63 secs, 5440 evals, 5322 steps, improv/step: 0.241 (last = 0.0000), fitness=0.037852122
454.15 secs, 5446 evals, 5328 steps, improv/step: 0.240 (last = 0.0000), fitness=0.037852122
454.68 secs, 5452 evals, 5334 steps, improv/step: 0.240 (last = 0.1667), fitness=0.037852122
455.27 secs, 5458 evals, 5340 steps, improv/step: 0.240 (last = 0.1667), fitness=0.037852122
455.83 secs, 5464 evals, 5346 steps, improv/step: 0.240 (last = 0.0000), fitness=0.037852122
456.39 secs, 5470 evals, 5352 steps, improv/step: 0.240 (last = 0.3333), fitness=0.037852122
456.95 secs, 5476 evals, 5358 steps, improv/step: 0.240 (last = 0.1667), fitness=0.037852122
457.53 secs, 5482 evals, 5364 steps, improv/step: 0.240 (last = 0.3333), fitness=0.037852122
458.10 secs, 5488 evals, 5370 steps, improv/step: 0.240 (last = 0.0000), fitness=0.037852122
458.66 secs, 5494 evals, 5376 steps, improv/step: 0.240 (last = 0.1667), fitness=0.037852122
459.23 secs, 5500 evals, 5382 steps, improv/step: 0.240 (last = 0.5000), fitness=0.037852122
459.80 secs, 5506 evals, 5388 steps, improv/step: 0.240 (last = 0.1667), fitness=0.037852122
460.35 secs, 5512 evals, 5394 steps, improv/step: 0.240 (last = 0.0000), fitness=0.037852122
460.91 secs, 5518 evals, 5400 steps, improv/step: 0.239 (last = 0.0000), fitness=0.037852122
461.47 secs, 5524 evals, 5406 steps, improv/step: 0.239 (last = 0.0000), fitness=0.037852122
462.04 secs, 5530 evals, 5412 steps, improv/step: 0.239 (last = 0.0000), fitness=0.037852122
462.60 secs, 5536 evals, 5418 steps, improv/step: 0.238 (last = 0.0000), fitness=0.037852122
463.17 secs, 5542 evals, 5424 steps, improv/step: 0.238 (last = 0.0000), fitness=0.037852122
463.73 secs, 5548 evals, 5430 steps, improv/step: 0.238 (last = 0.3333), fitness=0.037852122
464.30 secs, 5554 evals, 5436 steps, improv/step: 0.238 (last = 0.3333), fitness=0.037852122
464.86 secs, 5560 evals, 5442 steps, improv/step: 0.239 (last = 0.3333), fitness=0.037852122
465.44 secs, 5566 evals, 5448 steps, improv/step: 0.239 (last = 0.5000), fitness=0.037852122
466.03 secs, 5572 evals, 5454 steps, improv/step: 0.239 (last = 0.0000), fitness=0.037852122
466.59 secs, 5578 evals, 5460 steps, improv/step: 0.238 (last = 0.0000), fitness=0.037852122
467.14 secs, 5584 evals, 5466 steps, improv/step: 0.238 (last = 0.1667), fitness=0.037852122
467.68 secs, 5590 evals, 5472 steps, improv/step: 0.238 (last = 0.1667), fitness=0.037852122
468.25 secs, 5596 evals, 5478 steps, improv/step: 0.238 (last = 0.0000), fitness=0.037852122
468.81 secs, 5602 evals, 5484 steps, improv/step: 0.238 (last = 0.0000), fitness=0.037852122
469.38 secs, 5608 evals, 5490 steps, improv/step: 0.238 (last = 0.1667), fitness=0.037852122
469.94 secs, 5614 evals, 5496 steps, improv/step: 0.238 (last = 0.3333), fitness=0.037852122
470.51 secs, 5620 evals, 5502 steps, improv/step: 0.238 (last = 0.1667), fitness=0.037852122
471.07 secs, 5626 evals, 5508 steps, improv/step: 0.238 (last = 0.3333), fitness=0.037852122
471.64 secs, 5632 evals, 5514 steps, improv/step: 0.237 (last = 0.0000), fitness=0.037852122
472.21 secs, 5638 evals, 5520 steps, improv/step: 0.237 (last = 0.1667), fitness=0.037852122
472.78 secs, 5644 evals, 5526 steps, improv/step: 0.237 (last = 0.0000), fitness=0.037852122
473.34 secs, 5650 evals, 5532 steps, improv/step: 0.237 (last = 0.0000), fitness=0.037852122
473.91 secs, 5656 evals, 5538 steps, improv/step: 0.237 (last = 0.3333), fitness=0.037852122
474.48 secs, 5662 evals, 5544 steps, improv/step: 0.237 (last = 0.0000), fitness=0.037852122
475.05 secs, 5668 evals, 5550 steps, improv/step: 0.236 (last = 0.0000), fitness=0.037852122
475.60 secs, 5674 evals, 5556 steps, improv/step: 0.236 (last = 0.1667), fitness=0.037852122
476.16 secs, 5680 evals, 5562 steps, improv/step: 0.236 (last = 0.0000), fitness=0.037852122
476.72 secs, 5686 evals, 5568 steps, improv/step: 0.236 (last = 0.0000), fitness=0.037852122
477.30 secs, 5692 evals, 5574 steps, improv/step: 0.236 (last = 0.0000), fitness=0.037852122
477.86 secs, 5698 evals, 5580 steps, improv/step: 0.235 (last = 0.1667), fitness=0.037852122
478.42 secs, 5704 evals, 5586 steps, improv/step: 0.235 (last = 0.0000), fitness=0.037852122
478.95 secs, 5710 evals, 5592 steps, improv/step: 0.235 (last = 0.1667), fitness=0.037852122
479.49 secs, 5716 evals, 5598 steps, improv/step: 0.235 (last = 0.0000), fitness=0.037852122
480.05 secs, 5722 evals, 5604 steps, improv/step: 0.235 (last = 0.1667), fitness=0.037852122
480.60 secs, 5728 evals, 5610 steps, improv/step: 0.235 (last = 0.1667), fitness=0.037852122
481.17 secs, 5734 evals, 5616 steps, improv/step: 0.235 (last = 0.1667), fitness=0.037852122
481.74 secs, 5740 evals, 5622 steps, improv/step: 0.235 (last = 0.1667), fitness=0.037852122
482.30 secs, 5746 evals, 5628 steps, improv/step: 0.234 (last = 0.0000), fitness=0.037852122
482.85 secs, 5752 evals, 5634 steps, improv/step: 0.234 (last = 0.0000), fitness=0.037852122
483.41 secs, 5758 evals, 5640 steps, improv/step: 0.234 (last = 0.1667), fitness=0.037852122
483.97 secs, 5764 evals, 5646 steps, improv/step: 0.234 (last = 0.0000), fitness=0.037852122
484.53 secs, 5770 evals, 5652 steps, improv/step: 0.234 (last = 0.1667), fitness=0.037852122
485.09 secs, 5776 evals, 5658 steps, improv/step: 0.234 (last = 0.1667), fitness=0.037852122
485.64 secs, 5782 evals, 5664 steps, improv/step: 0.234 (last = 0.1667), fitness=0.037852122
486.22 secs, 5788 evals, 5670 steps, improv/step: 0.234 (last = 0.1667), fitness=0.037852122
486.78 secs, 5794 evals, 5676 steps, improv/step: 0.233 (last = 0.0000), fitness=0.037852122
487.35 secs, 5800 evals, 5682 steps, improv/step: 0.233 (last = 0.0000), fitness=0.037852122
487.91 secs, 5806 evals, 5688 steps, improv/step: 0.233 (last = 0.1667), fitness=0.037852122
488.47 secs, 5812 evals, 5694 steps, improv/step: 0.233 (last = 0.1667), fitness=0.037852122
489.04 secs, 5818 evals, 5700 steps, improv/step: 0.233 (last = 0.0000), fitness=0.037852122
489.60 secs, 5824 evals, 5706 steps, improv/step: 0.232 (last = 0.0000), fitness=0.037852122
490.15 secs, 5830 evals, 5712 steps, improv/step: 0.232 (last = 0.1667), fitness=0.037852122
490.71 secs, 5836 evals, 5718 steps, improv/step: 0.232 (last = 0.0000), fitness=0.037852122
491.27 secs, 5842 evals, 5724 steps, improv/step: 0.232 (last = 0.0000), fitness=0.037852122
491.83 secs, 5848 evals, 5730 steps, improv/step: 0.232 (last = 0.1667), fitness=0.037852122
492.39 secs, 5854 evals, 5736 steps, improv/step: 0.232 (last = 0.0000), fitness=0.037852122
492.96 secs, 5860 evals, 5742 steps, improv/step: 0.231 (last = 0.1667), fitness=0.037852122
493.51 secs, 5866 evals, 5748 steps, improv/step: 0.231 (last = 0.0000), fitness=0.037852122
494.06 secs, 5872 evals, 5754 steps, improv/step: 0.231 (last = 0.0000), fitness=0.037852122
494.63 secs, 5878 evals, 5760 steps, improv/step: 0.231 (last = 0.0000), fitness=0.037852122
495.19 secs, 5884 evals, 5766 steps, improv/step: 0.230 (last = 0.0000), fitness=0.037852122
495.75 secs, 5890 evals, 5772 steps, improv/step: 0.230 (last = 0.0000), fitness=0.037852122
496.31 secs, 5896 evals, 5778 steps, improv/step: 0.230 (last = 0.0000), fitness=0.037852122
496.86 secs, 5902 evals, 5784 steps, improv/step: 0.230 (last = 0.1667), fitness=0.037852122
497.41 secs, 5908 evals, 5790 steps, improv/step: 0.230 (last = 0.3333), fitness=0.037852122
497.95 secs, 5914 evals, 5796 steps, improv/step: 0.230 (last = 0.0000), fitness=0.037852122
498.48 secs, 5920 evals, 5802 steps, improv/step: 0.230 (last = 0.1667), fitness=0.037852122
499.02 secs, 5926 evals, 5808 steps, improv/step: 0.230 (last = 0.1667), fitness=0.037852122
499.54 secs, 5932 evals, 5814 steps, improv/step: 0.230 (last = 0.1667), fitness=0.037852122

======================================================================================
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 77 running 1 of 1

signal (10): User defined signal 1
_reformat_bt at ./error.jl:85
backtrace at ./error.jl:125
macro expansion at ./deprecated.jl:270 [inlined]
macro expansion at ./logging/logging.jl:401 [inlined]
_depwarn at ./deprecated.jl:266
jfptr__depwarn_55498.1 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:2284 [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: 0x74bad964bfc2) 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: 0x74bad964a2f2) 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: 0x74bad962a1b8) 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:2284 [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: 0x74bad972bc52) 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
500.09 secs, 5938 evals, 5820 steps, improv/step: 0.229 (last = 0.0000), fitness=0.037852122
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_57780.1 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:2284 [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_68679.1 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:2284 [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: 0x74baef21a249) 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)


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

501.36 secs, 5941 evals, 5823 steps, improv/step: 0.229 (last = 0.0000), fitness=0.037852122
======================================================================================
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:1246
wait_forever at ./task.jl:1168
jfptr_wait_forever_76916.1 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:2284 [inlined]
start_task at /source/src/task.c:1281
unknown function (ip: (nil)) at (unknown file)


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

┌ 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 0x000074bad51fc010 Total snapshots: 143. Utilization: 100%
   ╎143 @Base/client.jl:577  _start()
   ╎ 143 @Base/client.jl:310  exec_options(opts::Base.JLOptions)
   ╎  143 @Base/boot.jl:489  eval(m::Module, e::Any)
   ╎   143 @Base/Base.jl:311  (::Base.IncludeInto)(fname::String)
   ╎    143 @Base/Base.jl:310  include(mapexpr::Function, mod::Module, _path::S…
   ╎     143 @Base/loading.jl:3054  _include(mapexpr::Function, mod::Module, _p…
   ╎    ╎ 143 @Base/loading.jl:2994  include_string(mapexpr::typeof(identity), …
   ╎    ╎  143 @Base/boot.jl:489  eval(m::Module, e::Any)
   ╎    ╎   143 @DiffEqParamEstim/…l:353  top-level scope
   ╎    ╎    143 @Base/timing.jl:689  macro expansion
   ╎    ╎     143 @DiffEqParamEstim/…l:4  macro expansion
   ╎    ╎    ╎ 143 @Test/src/Test.jl:1961  macro expansion
   ╎    ╎    ╎  143 @DiffEqParamEstim/…:5  macro expansion
   ╎    ╎    ╎   143 @Base/Base.jl:311  (::Base.IncludeInto)(fname::String)
   ╎    ╎    ╎    143 @Base/Base.jl:310  include(mapexpr::Function, mod::Module…
   ╎    ╎    ╎     143 @Base/loading.jl:3054  _include(mapexpr::Function, mod::…
   ╎    ╎    ╎    ╎ 143 @Base/loading.jl:2994  include_string(mapexpr::typeof(i…
   ╎    ╎    ╎    ╎  143 @Base/boot.jl:489  eval(m::Module, e::Any)
   ╎    ╎    ╎    ╎   143 @BlackBoxOptim/…:91  kwcall(::@NamedTuple{SearchRange…
   ╎    ╎    ╎    ╎    143 @BlackBoxOptim/…:91  bboptimize
   ╎    ╎    ╎    ╎     143 @BlackBoxOptim/…:93  bboptimize(functionOrProblem::…
   ╎    ╎    ╎    ╎    ╎ 143 @BlackBoxOptim/…:470  run!(oc::BlackBoxOptim.OptCo…
   ╎    ╎    ╎    ╎    ╎  143 @BlackBoxOptim/…:321  run!(ctrl::BlackBoxOptim.Op…
   ╎    ╎    ╎    ╎    ╎   143 @BlackBoxOptim/…:274  step!
   ╎    ╎    ╎    ╎    ╎    143 @BlackBoxOptim/…:183  rank_by_fitness!
   ╎    ╎    ╎    ╎    ╎     143 @BlackBoxOptim/…:51  update_fitness!
   ╎    ╎    ╎    ╎    ╎    ╎ 143 @BlackBoxOptim/…:51  #update_fitness!#48
   ╎    ╎    ╎    ╎    ╎    ╎  143 @BlackBoxOptim/…:41  update_fitness!
   ╎    ╎    ╎    ╎    ╎    ╎   143 @BlackBoxOptim/…:45  update_fitness!(f::Not…
   ╎    ╎    ╎    ╎    ╎    ╎    143 @BlackBoxOptim/…:23  update_fitness!
   ╎    ╎    ╎    ╎    ╎    ╎     143 @BlackBoxOptim/…:26  #update_fitness!#45
   ╎    ╎    ╎    ╎    ╎    ╎    ╎ 143 @BlackBoxOptim/…:150  fitness
   ╎    ╎    ╎    ╎    ╎    ╎    ╎  143 @BlackBoxOptim/…:61  fitness
   ╎    ╎    ╎    ╎    ╎    ╎    ╎   143 @SciMLBase/…:4258  OptimizationFunction
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    143 @DiffEqParamEstim/…:10  #37
   ╎    ╎    ╎    ╎    ╎    ╎    ╎     143 @DiffEqParamEstim/…:18  #37
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ 143 @DiffEqParamEstim/…:103  (::L2Loss{…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  143 @Base/…ed.jl:215  getindex(VA::ODE…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎   143 @Base/…ed.jl:252  depwarn
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎    143 @Base/…ed.jl:257  #depwarn#965
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎     143 @Base/…on.jl:1342  invokelatest…
  2╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +1 143 @Base/…on.jl:1348  #invokelates…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +2 141 @Base/…ed.jl:266  _depwarn(msg:…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +3 140 @Base/…ng.jl:401  macro expansi…
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +4 4   @Base/…ed.jl:270  macro expansi…
  3╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 3   @Base/…or.jl:124  backtrace()
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +4 136 @Base/…ed.jl:271  macro expansi…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 136 @Base/…ed.jl:291  firstcaller
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 135 @Base/…ed.jl:296  firstcaller
133╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 134 @Base/…es.jl:110  lookup(pointe…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 1   @Base/…es.jl:115  lookup(pointe…
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +8 1   @Base/…ls.jl:980  getindex
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 1   @Base/…ed.jl:302  firstcaller
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +3 1   @Base/…ng.jl:402  macro expansi…
   ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +4 1   @Base/…ng.jl:340  current_logge…
  1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 1   @Base/…ng.jl:537  current_logst…

514.83 secs, 5942 evals, 5824 steps, improv/step: 0.229 (last = 1.0000), fitness=0.037852122
515.55 secs, 5945 evals, 5827 steps, improv/step: 0.229 (last = 0.0000), fitness=0.037852122
516.26 secs, 5948 evals, 5830 steps, improv/step: 0.229 (last = 0.3333), fitness=0.037852122
┌ 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 0x0000766159ec6e00 Total snapshots: 408. Utilization: 0%
   ╎408 @Base/task.jl:1168  wait_forever()
407╎ 408 @Base/task.jl:1246  wait()

516.87 secs, 5951 evals, 5833 steps, improv/step: 0.229 (last = 0.3333), fitness=0.037852122
517.45 secs, 5957 evals, 5839 steps, improv/step: 0.229 (last = 0.0000), fitness=0.037852122
518.02 secs, 5963 evals, 5845 steps, improv/step: 0.229 (last = 0.0000), fitness=0.037852122
518.61 secs, 5969 evals, 5851 steps, improv/step: 0.229 (last = 0.0000), fitness=0.037852122
519.18 secs, 5975 evals, 5857 steps, improv/step: 0.228 (last = 0.0000), fitness=0.037852122
519.72 secs, 5980 evals, 5862 steps, improv/step: 0.228 (last = 0.0000), fitness=0.037852122
520.28 secs, 5986 evals, 5868 steps, improv/step: 0.228 (last = 0.3333), fitness=0.037852122
520.81 secs, 5992 evals, 5874 steps, improv/step: 0.228 (last = 0.0000), fitness=0.037852122
521.36 secs, 5998 evals, 5880 steps, improv/step: 0.228 (last = 0.0000), fitness=0.037852122
521.94 secs, 6004 evals, 5886 steps, improv/step: 0.228 (last = 0.0000), fitness=0.037852122
522.56 secs, 6010 evals, 5892 steps, improv/step: 0.227 (last = 0.0000), fitness=0.037852122

[1] signal 15: Terminated
in expression starting at /PkgEval.jl/scripts/evaluate.jl:210
epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404
uv_run at /workspace/srcdir/libuv/src/unix/core.c:430
ijl_task_get_next at /source/src/scheduler.c:457
wait at ./task.jl:1246
wait_forever at ./task.jl:1168
jfptr_wait_forever_76916.1 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:2284 [inlined]
start_task at /source/src/task.c:1281
unknown function (ip: (nil)) at (unknown file)
Allocations: 23996084 (Pool: 23995379; Big: 705); GC: 18

[77] signal 15: Terminated
in expression starting at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/test/tests_on_odes/l2loss_test.jl:14
local_find_proc_info at /opt/julia/bin/../lib/julia/libunwind.so.8 (unknown line)
_ULx86_64_Ifind_dynamic_proc_info at /opt/julia/bin/../lib/julia/libunwind.so.8 (unknown line)
_ULx86_64_get_proc_info_by_ip at /opt/julia/bin/../lib/julia/libunwind.so.8 (unknown line)
get_function_name_and_base at /source/src/debuginfo.cpp:732 [inlined]
jl_dylib_DI_for_fptr at /source/src/debuginfo.cpp:1166
jl_getDylibFunctionInfo at /source/src/debuginfo.cpp:1197 [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_55498.1 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:2284 [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: 0x74bad964bfc2) 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: 0x74bad964a2f2) 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: 0x74bad962a1b8) 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:2284 [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: 0x74bad972bc52) 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_57780.1 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:2284 [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_68679.1 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:2284 [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: 0x74baef21a249) 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: 420041339 (Pool: 420039313; Big: 2026); GC: 650

PkgEval terminated after 2728.89s: test duration exceeded the time limit