Package evaluation to test DiffEqParamEstim on Julia 1.14.0-DEV.1284 (37b9484954*) started at 2025-11-23T21:11:26.041


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

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 6.66s


################################################################################
# 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 v1.19.0
  [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 v6.192.0
  [1130ab10] + DiffEqParamEstim v2.2.0
  [31c24e10] + Distributions v0.25.122
  [ffbed154] + DocStringExtensions v0.9.5
  [4e289a0a] + EnumX v1.0.5
  [f151be2c] + EnzymeCore v0.8.17
  [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 v2.127.0
  [a6db7da4] + SciMLLogging v1.5.0
  [c0aeaf25] + SciMLOperators v1.13.0
  [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 v0.34.8
  [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 4.53s


################################################################################
# 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/i9lgt/src/julia-1.11/common.jl:75
│     [2] test_dir_has_project_file
│       @ ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/common.jl:52 [inlined]
│     [3] maybe_gen_project_override!
│       @ ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/common.jl:83 [inlined]
│     [4] activate(pkg::String; allow_reresolve::Bool)
│       @ TestEnv ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/activate_set.jl:12
│     [5] activate(pkg::String)
│       @ TestEnv ~/.julia/packages/TestEnv/i9lgt/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...
   1100.3 ms  ✓ Dierckx_jll
   2949.8 ms  ✓ PenaltyFunctions
   3734.4 ms  ✓ SciMLBase → SciMLBaseDistributionsExt
   5556.0 ms  ✓ DiffEqBase
   1204.2 ms  ✓ Dierckx
   2913.1 ms  ✓ DiffEqBase → DiffEqBaseSparseArraysExt
   3994.7 ms  ✓ DiffEqParamEstim
  7 dependencies successfully precompiled in 23 seconds. 124 already precompiled.

Precompilation completed after 32.74s


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

     Testing DiffEqParamEstim
      Status `/tmp/jl_gIlgkg/Project.toml`
  [a134a8b2] BlackBoxOptim v0.6.3
  [49dc2e85] Calculus v0.5.2
  [bcd4f6db] DelayDiffEq v5.61.1
  [39dd38d3] Dierckx v0.5.4
  [2b5f629d] DiffEqBase v6.192.0
  [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 v2.127.0
  [1ed8b502] SciMLSensitivity v7.90.0
  [9672c7b4] SteadyStateDiffEq v2.8.0
  [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_gIlgkg/Manifest.toml`
  [47edcb42] ADTypes v1.19.0
  [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 v1.12.1
  [a9b6321e] Atomix v1.1.2
  [e2ed5e7c] Bijections v0.2.2
  [62783981] BitTwiddlingConvenienceFunctions v0.1.6
  [a134a8b2] BlackBoxOptim v0.6.3
  [8e7c35d0] BlockArrays v1.9.3
  [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 v6.192.0
  [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 v0.7.12
  [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 v0.13.107
  [f151be2c] EnzymeCore v0.8.17
  [d4d017d3] ExponentialUtilities v1.28.0
  [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 v1.7.4
  [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 v0.7.13
  [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 v2.9.1
  [1d6d02ad] LeftChildRightSiblingTrees v0.2.1
  [2d8b4e74] LevyArea v1.0.0
  [87fe0de2] LineSearch v0.1.4
  [d3d80556] LineSearches v7.4.1
  [7ed4a6bd] LinearSolve v3.47.0
  [2ab3a3ac] LogExpFunctions v0.3.29
  [e6f89c97] LoggingExtras v1.2.0
  [d8e11817] MLStyle v0.4.17
  [1914dd2f] MacroTools v0.5.16
  [d125e4d3] ManualMemory v0.1.8
  [bb5d69b7] MaybeInplace v0.1.4
  [e1d29d7a] Missings v1.2.0
  [961ee093] ModelingToolkit v10.29.0
  [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 v2.4.0
  [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 v0.1.6
  [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 v2.127.0
  [19f34311] SciMLJacobianOperators v0.1.11
  [a6db7da4] SciMLLogging v1.5.0
  [c0aeaf25] SciMLOperators v1.13.0
  [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 v1.1.3
  [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
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  [90137ffa] StaticArrays v1.9.15
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  [82ae8749] StatsAPI v1.7.1
  [2913bbd2] StatsBase v0.34.8
  [4c63d2b9] StatsFuns v1.5.2
  [9672c7b4] SteadyStateDiffEq v2.8.0
  [789caeaf] StochasticDiffEq v6.84.0
  [7792a7ef] StrideArraysCore v0.5.8
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  [2efcf032] SymbolicIndexingInterface v0.3.46
⌃ [19f23fe9] SymbolicLimits v0.2.3
⌅ [d1185830] SymbolicUtils v3.32.0
⌅ [0c5d862f] Symbolics v6.57.0
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  [bd369af6] Tables v1.12.1
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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/KTR1R/src/utils.jl:121
┌ Warning: Independent variable t should be defined with @independent_variables t.
└ @ ModelingToolkit ~/.julia/packages/ModelingToolkit/KTR1R/src/utils.jl:121
┌ Warning: Independent variable t should be defined with @independent_variables t.
└ @ ModelingToolkit ~/.julia/packages/ModelingToolkit/KTR1R/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
0.62 secs, 8 evals, 4 steps, improv/step: 0.250 (last = 0.2500), fitness=34.430532075
1.17 secs, 13 evals, 7 steps, improv/step: 0.429 (last = 0.6667), fitness=34.430532075
1.74 secs, 21 evals, 11 steps, improv/step: 0.545 (last = 0.7500), fitness=34.430532075
2.26 secs, 28 evals, 15 steps, improv/step: 0.533 (last = 0.5000), fitness=34.430532075
2.89 secs, 37 evals, 20 steps, improv/step: 0.450 (last = 0.2000), fitness=34.430532075
3.40 secs, 44 evals, 24 steps, improv/step: 0.458 (last = 0.5000), fitness=9.040677750
3.97 secs, 52 evals, 28 steps, improv/step: 0.500 (last = 0.7500), fitness=9.040677750
4.53 secs, 60 evals, 33 steps, improv/step: 0.515 (last = 0.6000), fitness=5.013542944
5.10 secs, 68 evals, 37 steps, improv/step: 0.514 (last = 0.5000), fitness=1.483390264
5.66 secs, 76 evals, 42 steps, improv/step: 0.476 (last = 0.2000), fitness=1.483390264
6.29 secs, 85 evals, 48 steps, improv/step: 0.500 (last = 0.6667), fitness=1.483390264
6.86 secs, 93 evals, 53 steps, improv/step: 0.491 (last = 0.4000), fitness=1.483390264
7.49 secs, 102 evals, 59 steps, improv/step: 0.492 (last = 0.5000), fitness=1.483390264
8.12 secs, 111 evals, 66 steps, improv/step: 0.500 (last = 0.5714), fitness=1.483390264
8.68 secs, 119 evals, 72 steps, improv/step: 0.458 (last = 0.0000), fitness=1.483390264
9.23 secs, 127 evals, 78 steps, improv/step: 0.449 (last = 0.3333), fitness=1.483390264
9.79 secs, 135 evals, 83 steps, improv/step: 0.446 (last = 0.4000), fitness=1.483390264
10.36 secs, 143 evals, 88 steps, improv/step: 0.420 (last = 0.0000), fitness=1.483390264
10.92 secs, 151 evals, 94 steps, improv/step: 0.415 (last = 0.3333), fitness=0.176224238
11.47 secs, 159 evals, 99 steps, improv/step: 0.404 (last = 0.2000), fitness=0.176224238
12.04 secs, 167 evals, 106 steps, improv/step: 0.406 (last = 0.4286), fitness=0.176224238
12.60 secs, 175 evals, 112 steps, improv/step: 0.384 (last = 0.0000), fitness=0.176224238
13.16 secs, 183 evals, 118 steps, improv/step: 0.373 (last = 0.1667), fitness=0.176224238
13.80 secs, 192 evals, 125 steps, improv/step: 0.376 (last = 0.4286), fitness=0.176224238
14.37 secs, 200 evals, 131 steps, improv/step: 0.389 (last = 0.6667), fitness=0.176224238
15.00 secs, 209 evals, 138 steps, improv/step: 0.391 (last = 0.4286), fitness=0.111575456
15.53 secs, 215 evals, 142 steps, improv/step: 0.387 (last = 0.2500), fitness=0.111575456
16.07 secs, 221 evals, 146 steps, improv/step: 0.390 (last = 0.5000), fitness=0.111575456
16.69 secs, 228 evals, 151 steps, improv/step: 0.391 (last = 0.4000), fitness=0.111575456
17.24 secs, 234 evals, 156 steps, improv/step: 0.378 (last = 0.0000), fitness=0.111575456
17.76 secs, 240 evals, 161 steps, improv/step: 0.379 (last = 0.4000), fitness=0.111575456
18.30 secs, 246 evals, 166 steps, improv/step: 0.367 (last = 0.0000), fitness=0.111575456
18.83 secs, 253 evals, 173 steps, improv/step: 0.358 (last = 0.1429), fitness=0.111575456
19.40 secs, 261 evals, 180 steps, improv/step: 0.361 (last = 0.4286), fitness=0.111575456
20.02 secs, 270 evals, 187 steps, improv/step: 0.353 (last = 0.1429), fitness=0.111575456
20.59 secs, 278 evals, 195 steps, improv/step: 0.349 (last = 0.2500), fitness=0.111575456
21.21 secs, 287 evals, 202 steps, improv/step: 0.356 (last = 0.5714), fitness=0.111575456
21.77 secs, 295 evals, 208 steps, improv/step: 0.351 (last = 0.1667), fitness=0.111575456
22.34 secs, 303 evals, 214 steps, improv/step: 0.350 (last = 0.3333), fitness=0.111575456
22.84 secs, 310 evals, 221 steps, improv/step: 0.344 (last = 0.1429), fitness=0.111575456
23.40 secs, 318 evals, 226 steps, improv/step: 0.341 (last = 0.2000), fitness=0.111575456
23.97 secs, 326 evals, 233 steps, improv/step: 0.343 (last = 0.4286), fitness=0.111575456
24.52 secs, 334 evals, 239 steps, improv/step: 0.343 (last = 0.3333), fitness=0.111575456
25.03 secs, 341 evals, 245 steps, improv/step: 0.343 (last = 0.3333), fitness=0.111575456
25.59 secs, 349 evals, 252 steps, improv/step: 0.333 (last = 0.0000), fitness=0.111575456
26.09 secs, 356 evals, 259 steps, improv/step: 0.324 (last = 0.0000), fitness=0.111575456
26.65 secs, 364 evals, 265 steps, improv/step: 0.321 (last = 0.1667), fitness=0.111575456
27.18 secs, 371 evals, 270 steps, improv/step: 0.322 (last = 0.4000), fitness=0.111575456
27.68 secs, 378 evals, 276 steps, improv/step: 0.319 (last = 0.1667), fitness=0.111575456
28.25 secs, 385 evals, 282 steps, improv/step: 0.316 (last = 0.1667), fitness=0.111575456
28.77 secs, 391 evals, 288 steps, improv/step: 0.312 (last = 0.1667), fitness=0.111575456
29.33 secs, 397 evals, 294 steps, improv/step: 0.310 (last = 0.1667), fitness=0.111575456
29.85 secs, 403 evals, 300 steps, improv/step: 0.310 (last = 0.3333), fitness=0.111575456
30.35 secs, 410 evals, 306 steps, improv/step: 0.314 (last = 0.5000), fitness=0.111575456
30.99 secs, 419 evals, 314 steps, improv/step: 0.312 (last = 0.2500), fitness=0.111575456
31.54 secs, 427 evals, 321 steps, improv/step: 0.315 (last = 0.4286), fitness=0.111575456
32.09 secs, 435 evals, 329 steps, improv/step: 0.316 (last = 0.3750), fitness=0.038326054
32.65 secs, 443 evals, 336 steps, improv/step: 0.315 (last = 0.2857), fitness=0.038326054
33.20 secs, 451 evals, 344 steps, improv/step: 0.317 (last = 0.3750), fitness=0.038326054
33.75 secs, 459 evals, 352 steps, improv/step: 0.315 (last = 0.2500), fitness=0.038326054
34.30 secs, 467 evals, 360 steps, improv/step: 0.314 (last = 0.2500), fitness=0.038326054
34.85 secs, 475 evals, 368 steps, improv/step: 0.310 (last = 0.1250), fitness=0.038326054
35.41 secs, 483 evals, 375 steps, improv/step: 0.307 (last = 0.1429), fitness=0.038326054
35.97 secs, 491 evals, 383 steps, improv/step: 0.305 (last = 0.2500), fitness=0.038326054
36.58 secs, 500 evals, 391 steps, improv/step: 0.315 (last = 0.7500), fitness=0.038326054
37.13 secs, 508 evals, 399 steps, improv/step: 0.311 (last = 0.1250), fitness=0.038326054
37.69 secs, 516 evals, 406 steps, improv/step: 0.313 (last = 0.4286), fitness=0.038326054
38.23 secs, 524 evals, 413 steps, improv/step: 0.312 (last = 0.2857), fitness=0.038326054
38.79 secs, 532 evals, 421 steps, improv/step: 0.311 (last = 0.2500), fitness=0.038326054
39.34 secs, 540 evals, 428 steps, improv/step: 0.315 (last = 0.5714), fitness=0.038326054
39.86 secs, 547 evals, 435 steps, improv/step: 0.317 (last = 0.4286), fitness=0.038326054
40.42 secs, 555 evals, 442 steps, improv/step: 0.317 (last = 0.2857), fitness=0.038326054
40.96 secs, 563 evals, 450 steps, improv/step: 0.318 (last = 0.3750), fitness=0.038326054
41.51 secs, 571 evals, 457 steps, improv/step: 0.326 (last = 0.8571), fitness=0.038326054
42.06 secs, 579 evals, 465 steps, improv/step: 0.323 (last = 0.1250), fitness=0.038326054
42.60 secs, 587 evals, 473 steps, improv/step: 0.326 (last = 0.5000), fitness=0.038326054
43.15 secs, 595 evals, 481 steps, improv/step: 0.322 (last = 0.1250), fitness=0.038326054
43.70 secs, 603 evals, 489 steps, improv/step: 0.323 (last = 0.3750), fitness=0.038326054
44.25 secs, 611 evals, 497 steps, improv/step: 0.328 (last = 0.6250), fitness=0.038326054
44.79 secs, 619 evals, 505 steps, improv/step: 0.329 (last = 0.3750), fitness=0.038326054
45.34 secs, 627 evals, 513 steps, improv/step: 0.331 (last = 0.5000), fitness=0.038326054
45.88 secs, 635 evals, 521 steps, improv/step: 0.332 (last = 0.3750), fitness=0.038326054
46.43 secs, 643 evals, 529 steps, improv/step: 0.333 (last = 0.3750), fitness=0.038326054
46.98 secs, 651 evals, 537 steps, improv/step: 0.337 (last = 0.6250), fitness=0.038326054
47.53 secs, 659 evals, 545 steps, improv/step: 0.339 (last = 0.5000), fitness=0.038326054
48.10 secs, 667 evals, 553 steps, improv/step: 0.344 (last = 0.6250), fitness=0.038326054
48.66 secs, 675 evals, 561 steps, improv/step: 0.346 (last = 0.5000), fitness=0.038326054
49.17 secs, 682 evals, 568 steps, improv/step: 0.345 (last = 0.2857), fitness=0.038326054
49.73 secs, 690 evals, 576 steps, improv/step: 0.347 (last = 0.5000), fitness=0.038326054
50.28 secs, 698 evals, 583 steps, improv/step: 0.345 (last = 0.1429), fitness=0.038326054
50.83 secs, 706 evals, 591 steps, improv/step: 0.347 (last = 0.5000), fitness=0.038326054
51.37 secs, 713 evals, 598 steps, improv/step: 0.346 (last = 0.2857), fitness=0.038326054
51.91 secs, 720 evals, 605 steps, improv/step: 0.349 (last = 0.5714), fitness=0.038326054
52.46 secs, 728 evals, 613 steps, improv/step: 0.346 (last = 0.1250), fitness=0.038326054
53.00 secs, 736 evals, 621 steps, improv/step: 0.349 (last = 0.6250), fitness=0.038326054
53.57 secs, 744 evals, 628 steps, improv/step: 0.347 (last = 0.1429), fitness=0.038326054
54.13 secs, 752 evals, 636 steps, improv/step: 0.347 (last = 0.3750), fitness=0.038326054
54.68 secs, 760 evals, 644 steps, improv/step: 0.345 (last = 0.1250), fitness=0.038326054
55.24 secs, 768 evals, 652 steps, improv/step: 0.344 (last = 0.2500), fitness=0.038326054
55.79 secs, 776 evals, 660 steps, improv/step: 0.345 (last = 0.5000), fitness=0.038326054
56.35 secs, 784 evals, 668 steps, improv/step: 0.347 (last = 0.5000), fitness=0.038203162
56.90 secs, 792 evals, 676 steps, improv/step: 0.348 (last = 0.3750), fitness=0.038203162
57.45 secs, 800 evals, 684 steps, improv/step: 0.346 (last = 0.2500), fitness=0.038198893
58.03 secs, 808 evals, 692 steps, improv/step: 0.345 (last = 0.2500), fitness=0.038198893
58.58 secs, 816 evals, 700 steps, improv/step: 0.344 (last = 0.2500), fitness=0.038198893
59.13 secs, 824 evals, 708 steps, improv/step: 0.346 (last = 0.5000), fitness=0.038198893
59.69 secs, 832 evals, 716 steps, improv/step: 0.352 (last = 0.8750), fitness=0.038198893
60.24 secs, 840 evals, 724 steps, improv/step: 0.348 (last = 0.0000), fitness=0.038198893
60.79 secs, 848 evals, 732 steps, improv/step: 0.344 (last = 0.0000), fitness=0.038198893
61.34 secs, 856 evals, 740 steps, improv/step: 0.343 (last = 0.2500), fitness=0.038198893
61.88 secs, 864 evals, 748 steps, improv/step: 0.342 (last = 0.2500), fitness=0.038198893
62.43 secs, 872 evals, 756 steps, improv/step: 0.344 (last = 0.5000), fitness=0.038198893
62.98 secs, 880 evals, 764 steps, improv/step: 0.346 (last = 0.5000), fitness=0.038198893
63.53 secs, 888 evals, 772 steps, improv/step: 0.346 (last = 0.3750), fitness=0.038198893
64.07 secs, 896 evals, 780 steps, improv/step: 0.345 (last = 0.2500), fitness=0.038198893
64.63 secs, 904 evals, 788 steps, improv/step: 0.346 (last = 0.5000), fitness=0.038198893
65.18 secs, 912 evals, 796 steps, improv/step: 0.347 (last = 0.3750), fitness=0.038198893
65.72 secs, 920 evals, 804 steps, improv/step: 0.350 (last = 0.6250), fitness=0.038198893
66.28 secs, 928 evals, 812 steps, improv/step: 0.350 (last = 0.3750), fitness=0.038198893
66.84 secs, 936 evals, 820 steps, improv/step: 0.350 (last = 0.3750), fitness=0.038198893
67.40 secs, 944 evals, 828 steps, improv/step: 0.350 (last = 0.3750), fitness=0.038198893
67.97 secs, 952 evals, 836 steps, improv/step: 0.349 (last = 0.2500), fitness=0.038198893
68.53 secs, 960 evals, 844 steps, improv/step: 0.347 (last = 0.1250), fitness=0.038198893
69.08 secs, 968 evals, 852 steps, improv/step: 0.346 (last = 0.2500), fitness=0.038198893
69.64 secs, 976 evals, 860 steps, improv/step: 0.345 (last = 0.2500), fitness=0.038196933
70.20 secs, 984 evals, 868 steps, improv/step: 0.346 (last = 0.3750), fitness=0.038196933
70.77 secs, 992 evals, 876 steps, improv/step: 0.347 (last = 0.5000), fitness=0.038196933
71.33 secs, 1000 evals, 884 steps, improv/step: 0.347 (last = 0.3750), fitness=0.038195401
71.89 secs, 1008 evals, 892 steps, improv/step: 0.348 (last = 0.3750), fitness=0.038195401
72.45 secs, 1016 evals, 900 steps, improv/step: 0.344 (last = 0.0000), fitness=0.038195401
73.01 secs, 1024 evals, 908 steps, improv/step: 0.345 (last = 0.3750), fitness=0.038195401
73.58 secs, 1032 evals, 916 steps, improv/step: 0.346 (last = 0.5000), fitness=0.038195401
74.15 secs, 1040 evals, 924 steps, improv/step: 0.347 (last = 0.5000), fitness=0.038193135
74.71 secs, 1048 evals, 932 steps, improv/step: 0.351 (last = 0.7500), fitness=0.038193135
75.27 secs, 1056 evals, 940 steps, improv/step: 0.349 (last = 0.1250), fitness=0.038193135
75.84 secs, 1064 evals, 948 steps, improv/step: 0.351 (last = 0.6250), fitness=0.038193135
76.35 secs, 1071 evals, 955 steps, improv/step: 0.353 (last = 0.5714), fitness=0.038193135
76.91 secs, 1079 evals, 963 steps, improv/step: 0.352 (last = 0.2500), fitness=0.038193135
77.48 secs, 1087 evals, 971 steps, improv/step: 0.354 (last = 0.6250), fitness=0.038193135
78.00 secs, 1094 evals, 978 steps, improv/step: 0.354 (last = 0.2857), fitness=0.038193135
78.58 secs, 1102 evals, 986 steps, improv/step: 0.357 (last = 0.7500), fitness=0.038193135
79.11 secs, 1109 evals, 993 steps, improv/step: 0.359 (last = 0.5714), fitness=0.038192868
79.67 secs, 1117 evals, 1001 steps, improv/step: 0.357 (last = 0.1250), fitness=0.038192868
80.23 secs, 1125 evals, 1009 steps, improv/step: 0.358 (last = 0.5000), fitness=0.038192868
80.74 secs, 1132 evals, 1016 steps, improv/step: 0.355 (last = 0.0000), fitness=0.038192868
81.29 secs, 1140 evals, 1024 steps, improv/step: 0.358 (last = 0.7500), fitness=0.038192868
81.86 secs, 1148 evals, 1032 steps, improv/step: 0.359 (last = 0.5000), fitness=0.038192868
82.39 secs, 1155 evals, 1039 steps, improv/step: 0.359 (last = 0.2857), fitness=0.038192868
82.95 secs, 1163 evals, 1047 steps, improv/step: 0.359 (last = 0.3750), fitness=0.038192868
83.47 secs, 1170 evals, 1054 steps, improv/step: 0.359 (last = 0.2857), fitness=0.038192868
83.98 secs, 1177 evals, 1061 steps, improv/step: 0.360 (last = 0.5714), fitness=0.038192868
84.54 secs, 1185 evals, 1069 steps, improv/step: 0.361 (last = 0.5000), fitness=0.038192868
85.07 secs, 1192 evals, 1076 steps, improv/step: 0.361 (last = 0.2857), fitness=0.038192868
85.64 secs, 1200 evals, 1084 steps, improv/step: 0.363 (last = 0.7500), fitness=0.038192868
86.20 secs, 1208 evals, 1092 steps, improv/step: 0.364 (last = 0.5000), fitness=0.038192868
86.76 secs, 1216 evals, 1100 steps, improv/step: 0.366 (last = 0.6250), fitness=0.038192868
87.26 secs, 1223 evals, 1107 steps, improv/step: 0.368 (last = 0.5714), fitness=0.038192868
87.83 secs, 1231 evals, 1115 steps, improv/step: 0.368 (last = 0.3750), fitness=0.038192868
88.39 secs, 1239 evals, 1123 steps, improv/step: 0.368 (last = 0.3750), fitness=0.038192868
88.96 secs, 1247 evals, 1131 steps, improv/step: 0.369 (last = 0.5000), fitness=0.038192862
89.52 secs, 1255 evals, 1139 steps, improv/step: 0.370 (last = 0.5000), fitness=0.038192862
90.09 secs, 1263 evals, 1147 steps, improv/step: 0.371 (last = 0.5000), fitness=0.038192862
90.61 secs, 1270 evals, 1154 steps, improv/step: 0.370 (last = 0.2857), fitness=0.038192862
91.14 secs, 1277 evals, 1161 steps, improv/step: 0.370 (last = 0.4286), fitness=0.038192862
91.67 secs, 1284 evals, 1168 steps, improv/step: 0.369 (last = 0.1429), fitness=0.038192862
92.19 secs, 1291 evals, 1175 steps, improv/step: 0.370 (last = 0.5714), fitness=0.038192862
92.70 secs, 1297 evals, 1181 steps, improv/step: 0.369 (last = 0.1667), fitness=0.038192862
93.27 secs, 1304 evals, 1188 steps, improv/step: 0.369 (last = 0.2857), fitness=0.038192862
93.80 secs, 1311 evals, 1195 steps, improv/step: 0.369 (last = 0.4286), fitness=0.038192862
94.36 secs, 1319 evals, 1203 steps, improv/step: 0.367 (last = 0.1250), fitness=0.038192862
94.92 secs, 1327 evals, 1211 steps, improv/step: 0.368 (last = 0.5000), fitness=0.038192862
95.42 secs, 1334 evals, 1218 steps, improv/step: 0.369 (last = 0.4286), fitness=0.038192862
95.98 secs, 1342 evals, 1226 steps, improv/step: 0.369 (last = 0.3750), fitness=0.038192862
96.53 secs, 1350 evals, 1234 steps, improv/step: 0.369 (last = 0.3750), fitness=0.038192862
97.09 secs, 1358 evals, 1242 steps, improv/step: 0.369 (last = 0.3750), fitness=0.038192862
97.65 secs, 1366 evals, 1250 steps, improv/step: 0.370 (last = 0.5000), fitness=0.038192862
98.21 secs, 1374 evals, 1258 steps, improv/step: 0.370 (last = 0.3750), fitness=0.038192862
98.72 secs, 1381 evals, 1265 steps, improv/step: 0.368 (last = 0.1429), fitness=0.038192862
99.23 secs, 1388 evals, 1272 steps, improv/step: 0.369 (last = 0.4286), fitness=0.038192862
99.79 secs, 1396 evals, 1280 steps, improv/step: 0.367 (last = 0.1250), fitness=0.038192862
100.35 secs, 1404 evals, 1288 steps, improv/step: 0.369 (last = 0.6250), fitness=0.038192862
100.86 secs, 1411 evals, 1295 steps, improv/step: 0.368 (last = 0.2857), fitness=0.038192862
101.41 secs, 1419 evals, 1303 steps, improv/step: 0.368 (last = 0.2500), fitness=0.038192860
101.96 secs, 1427 evals, 1311 steps, improv/step: 0.367 (last = 0.2500), fitness=0.038192860
102.46 secs, 1434 evals, 1318 steps, improv/step: 0.366 (last = 0.2857), fitness=0.038192860
102.97 secs, 1441 evals, 1325 steps, improv/step: 0.366 (last = 0.2857), fitness=0.038192860
103.53 secs, 1449 evals, 1333 steps, improv/step: 0.365 (last = 0.1250), fitness=0.038192860
104.10 secs, 1457 evals, 1341 steps, improv/step: 0.364 (last = 0.2500), fitness=0.038192860
104.66 secs, 1465 evals, 1349 steps, improv/step: 0.362 (last = 0.1250), fitness=0.038192860
105.21 secs, 1473 evals, 1357 steps, improv/step: 0.363 (last = 0.5000), fitness=0.038192860
105.78 secs, 1481 evals, 1365 steps, improv/step: 0.365 (last = 0.6250), fitness=0.038192860
106.33 secs, 1489 evals, 1373 steps, improv/step: 0.364 (last = 0.2500), fitness=0.038192860
106.88 secs, 1497 evals, 1381 steps, improv/step: 0.363 (last = 0.1250), fitness=0.038192860
107.45 secs, 1505 evals, 1389 steps, improv/step: 0.363 (last = 0.3750), fitness=0.038192860
108.00 secs, 1513 evals, 1397 steps, improv/step: 0.363 (last = 0.3750), fitness=0.038192860
108.55 secs, 1521 evals, 1405 steps, improv/step: 0.362 (last = 0.2500), fitness=0.038192860
109.11 secs, 1529 evals, 1413 steps, improv/step: 0.363 (last = 0.5000), fitness=0.038192860
109.67 secs, 1537 evals, 1421 steps, improv/step: 0.362 (last = 0.2500), fitness=0.038192860
110.22 secs, 1545 evals, 1429 steps, improv/step: 0.362 (last = 0.3750), fitness=0.038192860
110.73 secs, 1552 evals, 1436 steps, improv/step: 0.363 (last = 0.4286), fitness=0.038192860
111.28 secs, 1560 evals, 1444 steps, improv/step: 0.361 (last = 0.1250), fitness=0.038192860
111.84 secs, 1568 evals, 1452 steps, improv/step: 0.362 (last = 0.3750), fitness=0.038192860
112.39 secs, 1576 evals, 1460 steps, improv/step: 0.362 (last = 0.3750), fitness=0.038192860
112.94 secs, 1584 evals, 1468 steps, improv/step: 0.362 (last = 0.3750), fitness=0.038192860
113.50 secs, 1592 evals, 1476 steps, improv/step: 0.362 (last = 0.3750), fitness=0.038192860
114.06 secs, 1600 evals, 1484 steps, improv/step: 0.361 (last = 0.1250), fitness=0.038192860
114.61 secs, 1608 evals, 1492 steps, improv/step: 0.361 (last = 0.3750), fitness=0.038192860
115.17 secs, 1616 evals, 1500 steps, improv/step: 0.361 (last = 0.3750), fitness=0.038192860
115.72 secs, 1624 evals, 1508 steps, improv/step: 0.361 (last = 0.5000), fitness=0.038192860
116.27 secs, 1632 evals, 1516 steps, improv/step: 0.362 (last = 0.5000), fitness=0.038192860
116.83 secs, 1640 evals, 1524 steps, improv/step: 0.362 (last = 0.2500), fitness=0.038192860
117.39 secs, 1648 evals, 1532 steps, improv/step: 0.360 (last = 0.1250), fitness=0.038192860
117.94 secs, 1656 evals, 1540 steps, improv/step: 0.362 (last = 0.6250), fitness=0.038192860
118.50 secs, 1664 evals, 1548 steps, improv/step: 0.361 (last = 0.2500), fitness=0.038192860
119.06 secs, 1672 evals, 1556 steps, improv/step: 0.362 (last = 0.6250), fitness=0.038192860
119.61 secs, 1680 evals, 1565 steps, improv/step: 0.363 (last = 0.4444), fitness=0.038192858
120.18 secs, 1688 evals, 1573 steps, improv/step: 0.361 (last = 0.0000), fitness=0.038192858
120.74 secs, 1696 evals, 1581 steps, improv/step: 0.360 (last = 0.1250), fitness=0.038192858
121.29 secs, 1704 evals, 1589 steps, improv/step: 0.360 (last = 0.3750), fitness=0.038192858
121.85 secs, 1712 evals, 1597 steps, improv/step: 0.359 (last = 0.1250), fitness=0.038192858
122.43 secs, 1720 evals, 1605 steps, improv/step: 0.359 (last = 0.3750), fitness=0.038192858
122.94 secs, 1727 evals, 1612 steps, improv/step: 0.358 (last = 0.1429), fitness=0.038192858
123.50 secs, 1735 evals, 1620 steps, improv/step: 0.358 (last = 0.3750), fitness=0.038192858
124.07 secs, 1743 evals, 1628 steps, improv/step: 0.357 (last = 0.1250), fitness=0.038192858
124.62 secs, 1751 evals, 1636 steps, improv/step: 0.355 (last = 0.0000), fitness=0.038192858
125.19 secs, 1759 evals, 1644 steps, improv/step: 0.356 (last = 0.5000), fitness=0.038192858
125.74 secs, 1767 evals, 1652 steps, improv/step: 0.355 (last = 0.2500), fitness=0.038192858
126.30 secs, 1775 evals, 1660 steps, improv/step: 0.357 (last = 0.6250), fitness=0.038192858
126.86 secs, 1783 evals, 1668 steps, improv/step: 0.356 (last = 0.2500), fitness=0.038192856
127.42 secs, 1791 evals, 1676 steps, improv/step: 0.357 (last = 0.6250), fitness=0.038192856
127.98 secs, 1799 evals, 1684 steps, improv/step: 0.357 (last = 0.2500), fitness=0.038192856
128.55 secs, 1807 evals, 1692 steps, improv/step: 0.356 (last = 0.2500), fitness=0.038192856
129.11 secs, 1815 evals, 1700 steps, improv/step: 0.355 (last = 0.1250), fitness=0.038192856
129.68 secs, 1823 evals, 1708 steps, improv/step: 0.355 (last = 0.2500), fitness=0.038192856
130.24 secs, 1831 evals, 1716 steps, improv/step: 0.354 (last = 0.1250), fitness=0.038192856
130.80 secs, 1839 evals, 1724 steps, improv/step: 0.354 (last = 0.3750), fitness=0.038192856
131.37 secs, 1847 evals, 1732 steps, improv/step: 0.353 (last = 0.2500), fitness=0.038192856
131.93 secs, 1855 evals, 1740 steps, improv/step: 0.352 (last = 0.1250), fitness=0.038192856
132.49 secs, 1863 evals, 1748 steps, improv/step: 0.351 (last = 0.1250), fitness=0.038192856
133.04 secs, 1871 evals, 1756 steps, improv/step: 0.350 (last = 0.1250), fitness=0.038192856
133.60 secs, 1879 evals, 1764 steps, improv/step: 0.349 (last = 0.1250), fitness=0.038192856
134.16 secs, 1887 evals, 1772 steps, improv/step: 0.348 (last = 0.1250), fitness=0.038192856
134.72 secs, 1895 evals, 1780 steps, improv/step: 0.347 (last = 0.1250), fitness=0.038192856
135.29 secs, 1903 evals, 1788 steps, improv/step: 0.346 (last = 0.1250), fitness=0.038192856
135.85 secs, 1911 evals, 1796 steps, improv/step: 0.345 (last = 0.0000), fitness=0.038192856
136.37 secs, 1918 evals, 1803 steps, improv/step: 0.344 (last = 0.2857), fitness=0.038192856
136.90 secs, 1925 evals, 1810 steps, improv/step: 0.344 (last = 0.1429), fitness=0.038192856
137.46 secs, 1933 evals, 1818 steps, improv/step: 0.343 (last = 0.1250), fitness=0.038192856
138.03 secs, 1941 evals, 1826 steps, improv/step: 0.342 (last = 0.2500), fitness=0.038192856
138.60 secs, 1949 evals, 1834 steps, improv/step: 0.341 (last = 0.0000), fitness=0.038192856
139.16 secs, 1957 evals, 1842 steps, improv/step: 0.340 (last = 0.1250), fitness=0.038192856
139.66 secs, 1964 evals, 1849 steps, improv/step: 0.340 (last = 0.2857), fitness=0.038192856
140.23 secs, 1972 evals, 1857 steps, improv/step: 0.339 (last = 0.1250), fitness=0.038192856
140.79 secs, 1980 evals, 1865 steps, improv/step: 0.338 (last = 0.1250), fitness=0.038192856
141.36 secs, 1988 evals, 1873 steps, improv/step: 0.337 (last = 0.1250), fitness=0.038192856
141.92 secs, 1996 evals, 1881 steps, improv/step: 0.336 (last = 0.1250), fitness=0.038192856
142.49 secs, 2004 evals, 1889 steps, improv/step: 0.335 (last = 0.0000), fitness=0.038192856
142.99 secs, 2011 evals, 1896 steps, improv/step: 0.335 (last = 0.4286), fitness=0.038192856
143.56 secs, 2019 evals, 1904 steps, improv/step: 0.334 (last = 0.0000), fitness=0.038192856
144.12 secs, 2027 evals, 1912 steps, improv/step: 0.333 (last = 0.1250), fitness=0.038192856
144.68 secs, 2035 evals, 1920 steps, improv/step: 0.332 (last = 0.2500), fitness=0.038192856
145.18 secs, 2042 evals, 1927 steps, improv/step: 0.331 (last = 0.0000), fitness=0.038192856
145.75 secs, 2050 evals, 1935 steps, improv/step: 0.330 (last = 0.0000), fitness=0.038192856
146.28 secs, 2057 evals, 1942 steps, improv/step: 0.329 (last = 0.1429), fitness=0.038192856
146.84 secs, 2065 evals, 1950 steps, improv/step: 0.328 (last = 0.0000), fitness=0.038192856
147.40 secs, 2073 evals, 1958 steps, improv/step: 0.327 (last = 0.2500), fitness=0.038192856
147.96 secs, 2081 evals, 1966 steps, improv/step: 0.326 (last = 0.0000), fitness=0.038192856
148.51 secs, 2089 evals, 1974 steps, improv/step: 0.325 (last = 0.1250), fitness=0.038192856
149.07 secs, 2097 evals, 1982 steps, improv/step: 0.324 (last = 0.1250), fitness=0.038192856
149.60 secs, 2104 evals, 1989 steps, improv/step: 0.323 (last = 0.0000), fitness=0.038192856
150.16 secs, 2112 evals, 1997 steps, improv/step: 0.322 (last = 0.1250), fitness=0.038192856
150.72 secs, 2120 evals, 2005 steps, improv/step: 0.321 (last = 0.0000), fitness=0.038192856
151.29 secs, 2128 evals, 2013 steps, improv/step: 0.321 (last = 0.2500), fitness=0.038192856
151.80 secs, 2135 evals, 2020 steps, improv/step: 0.320 (last = 0.0000), fitness=0.038192856
152.36 secs, 2143 evals, 2028 steps, improv/step: 0.319 (last = 0.0000), fitness=0.038192856
152.93 secs, 2151 evals, 2036 steps, improv/step: 0.317 (last = 0.0000), fitness=0.038192856
153.48 secs, 2159 evals, 2044 steps, improv/step: 0.316 (last = 0.0000), fitness=0.038192856
154.04 secs, 2167 evals, 2052 steps, improv/step: 0.316 (last = 0.2500), fitness=0.038192856
154.60 secs, 2175 evals, 2060 steps, improv/step: 0.317 (last = 0.5000), fitness=0.038192856
155.17 secs, 2183 evals, 2068 steps, improv/step: 0.316 (last = 0.1250), fitness=0.038192856
155.73 secs, 2191 evals, 2076 steps, improv/step: 0.315 (last = 0.0000), fitness=0.038192856
156.30 secs, 2199 evals, 2084 steps, improv/step: 0.313 (last = 0.0000), fitness=0.038192856
156.86 secs, 2207 evals, 2092 steps, improv/step: 0.312 (last = 0.0000), fitness=0.038192856
157.37 secs, 2214 evals, 2099 steps, improv/step: 0.311 (last = 0.0000), fitness=0.038192856
157.93 secs, 2222 evals, 2107 steps, improv/step: 0.310 (last = 0.1250), fitness=0.038192856
158.50 secs, 2230 evals, 2115 steps, improv/step: 0.310 (last = 0.1250), fitness=0.038192856
159.07 secs, 2238 evals, 2123 steps, improv/step: 0.309 (last = 0.1250), fitness=0.038192856
159.57 secs, 2245 evals, 2130 steps, improv/step: 0.308 (last = 0.0000), fitness=0.038192856
160.13 secs, 2253 evals, 2138 steps, improv/step: 0.307 (last = 0.0000), fitness=0.038192856
160.72 secs, 2261 evals, 2146 steps, improv/step: 0.307 (last = 0.2500), fitness=0.038192856
161.28 secs, 2269 evals, 2154 steps, improv/step: 0.306 (last = 0.2500), fitness=0.038192856
161.84 secs, 2277 evals, 2162 steps, improv/step: 0.306 (last = 0.1250), fitness=0.038192856
162.34 secs, 2284 evals, 2169 steps, improv/step: 0.305 (last = 0.0000), fitness=0.038192856
162.90 secs, 2292 evals, 2177 steps, improv/step: 0.304 (last = 0.0000), fitness=0.038192856
163.49 secs, 2300 evals, 2185 steps, improv/step: 0.304 (last = 0.3750), fitness=0.038192854
164.06 secs, 2308 evals, 2193 steps, improv/step: 0.303 (last = 0.1250), fitness=0.038192854
164.62 secs, 2316 evals, 2201 steps, improv/step: 0.302 (last = 0.0000), fitness=0.038192854
165.17 secs, 2324 evals, 2209 steps, improv/step: 0.301 (last = 0.1250), fitness=0.038192854
165.73 secs, 2332 evals, 2217 steps, improv/step: 0.301 (last = 0.2500), fitness=0.038192854
166.29 secs, 2340 evals, 2225 steps, improv/step: 0.301 (last = 0.1250), fitness=0.038192854
166.84 secs, 2348 evals, 2233 steps, improv/step: 0.300 (last = 0.0000), fitness=0.038192854
167.40 secs, 2356 evals, 2241 steps, improv/step: 0.299 (last = 0.2500), fitness=0.038192854
167.95 secs, 2364 evals, 2249 steps, improv/step: 0.298 (last = 0.0000), fitness=0.038192854
168.52 secs, 2372 evals, 2257 steps, improv/step: 0.297 (last = 0.0000), fitness=0.038192854
169.11 secs, 2378 evals, 2263 steps, improv/step: 0.297 (last = 0.0000), fitness=0.038192854
169.66 secs, 2386 evals, 2271 steps, improv/step: 0.295 (last = 0.0000), fitness=0.038192854
170.21 secs, 2394 evals, 2279 steps, improv/step: 0.294 (last = 0.0000), fitness=0.038192854
170.77 secs, 2402 evals, 2287 steps, improv/step: 0.293 (last = 0.0000), fitness=0.038192854
171.32 secs, 2410 evals, 2295 steps, improv/step: 0.293 (last = 0.2500), fitness=0.038192854
171.88 secs, 2418 evals, 2303 steps, improv/step: 0.292 (last = 0.0000), fitness=0.038192854
172.43 secs, 2426 evals, 2311 steps, improv/step: 0.292 (last = 0.2500), fitness=0.038192854
172.98 secs, 2434 evals, 2319 steps, improv/step: 0.291 (last = 0.0000), fitness=0.038192854
173.53 secs, 2442 evals, 2327 steps, improv/step: 0.291 (last = 0.1250), fitness=0.038192854
174.09 secs, 2450 evals, 2335 steps, improv/step: 0.290 (last = 0.2500), fitness=0.038192854
174.65 secs, 2458 evals, 2343 steps, improv/step: 0.290 (last = 0.1250), fitness=0.038192854
175.20 secs, 2466 evals, 2351 steps, improv/step: 0.289 (last = 0.1250), fitness=0.038192854
175.71 secs, 2473 evals, 2358 steps, improv/step: 0.289 (last = 0.1429), fitness=0.038192854
176.23 secs, 2480 evals, 2365 steps, improv/step: 0.288 (last = 0.0000), fitness=0.038192854
176.79 secs, 2488 evals, 2373 steps, improv/step: 0.287 (last = 0.1250), fitness=0.038192854
177.36 secs, 2496 evals, 2381 steps, improv/step: 0.286 (last = 0.0000), fitness=0.038192854
177.93 secs, 2504 evals, 2389 steps, improv/step: 0.286 (last = 0.2500), fitness=0.038192854
178.46 secs, 2511 evals, 2396 steps, improv/step: 0.285 (last = 0.0000), fitness=0.038192854
178.98 secs, 2518 evals, 2403 steps, improv/step: 0.285 (last = 0.0000), fitness=0.038192854
179.48 secs, 2525 evals, 2410 steps, improv/step: 0.284 (last = 0.0000), fitness=0.038192854
180.05 secs, 2533 evals, 2418 steps, improv/step: 0.283 (last = 0.1250), fitness=0.038192854
180.58 secs, 2540 evals, 2425 steps, improv/step: 0.283 (last = 0.1429), fitness=0.038192854
181.09 secs, 2547 evals, 2432 steps, improv/step: 0.282 (last = 0.1429), fitness=0.038192854
181.60 secs, 2554 evals, 2439 steps, improv/step: 0.282 (last = 0.0000), fitness=0.038192854
182.12 secs, 2561 evals, 2446 steps, improv/step: 0.281 (last = 0.1429), fitness=0.038192854
182.64 secs, 2568 evals, 2453 steps, improv/step: 0.281 (last = 0.2857), fitness=0.038192854
183.21 secs, 2576 evals, 2461 steps, improv/step: 0.280 (last = 0.0000), fitness=0.038192854
183.78 secs, 2584 evals, 2469 steps, improv/step: 0.280 (last = 0.2500), fitness=0.038192854
184.34 secs, 2592 evals, 2477 steps, improv/step: 0.280 (last = 0.2500), fitness=0.038192854
184.87 secs, 2599 evals, 2484 steps, improv/step: 0.280 (last = 0.1429), fitness=0.038192854
185.37 secs, 2606 evals, 2491 steps, improv/step: 0.279 (last = 0.0000), fitness=0.038192854
185.94 secs, 2614 evals, 2499 steps, improv/step: 0.278 (last = 0.0000), fitness=0.038192854
186.47 secs, 2622 evals, 2507 steps, improv/step: 0.277 (last = 0.0000), fitness=0.038192854
187.01 secs, 2630 evals, 2515 steps, improv/step: 0.276 (last = 0.0000), fitness=0.038192854
187.58 secs, 2638 evals, 2523 steps, improv/step: 0.275 (last = 0.0000), fitness=0.038192854
188.12 secs, 2646 evals, 2531 steps, improv/step: 0.275 (last = 0.0000), fitness=0.038192854
188.66 secs, 2654 evals, 2539 steps, improv/step: 0.274 (last = 0.1250), fitness=0.038192854
189.21 secs, 2662 evals, 2547 steps, improv/step: 0.274 (last = 0.1250), fitness=0.038192854
189.73 secs, 2669 evals, 2554 steps, improv/step: 0.273 (last = 0.1429), fitness=0.038192854
190.28 secs, 2677 evals, 2562 steps, improv/step: 0.273 (last = 0.1250), fitness=0.038192854
190.82 secs, 2685 evals, 2570 steps, improv/step: 0.272 (last = 0.0000), fitness=0.038192854
191.35 secs, 2693 evals, 2578 steps, improv/step: 0.272 (last = 0.1250), fitness=0.038192854
191.91 secs, 2701 evals, 2586 steps, improv/step: 0.271 (last = 0.1250), fitness=0.038192854
192.47 secs, 2709 evals, 2594 steps, improv/step: 0.270 (last = 0.0000), fitness=0.038192854
193.04 secs, 2717 evals, 2602 steps, improv/step: 0.270 (last = 0.2500), fitness=0.038192854
193.55 secs, 2724 evals, 2609 steps, improv/step: 0.269 (last = 0.0000), fitness=0.038192854
194.06 secs, 2731 evals, 2616 steps, improv/step: 0.269 (last = 0.0000), fitness=0.038192854
194.63 secs, 2739 evals, 2624 steps, improv/step: 0.268 (last = 0.0000), fitness=0.038192854
195.18 secs, 2746 evals, 2631 steps, improv/step: 0.267 (last = 0.0000), fitness=0.038192854
195.73 secs, 2754 evals, 2639 steps, improv/step: 0.266 (last = 0.0000), fitness=0.038192854
196.30 secs, 2762 evals, 2647 steps, improv/step: 0.266 (last = 0.2500), fitness=0.038192854
196.83 secs, 2769 evals, 2654 steps, improv/step: 0.266 (last = 0.0000), fitness=0.038192854
197.34 secs, 2776 evals, 2661 steps, improv/step: 0.265 (last = 0.0000), fitness=0.038192854
197.84 secs, 2783 evals, 2668 steps, improv/step: 0.264 (last = 0.0000), fitness=0.038192854
198.34 secs, 2790 evals, 2675 steps, improv/step: 0.264 (last = 0.0000), fitness=0.038192854
198.86 secs, 2797 evals, 2682 steps, improv/step: 0.263 (last = 0.0000), fitness=0.038192854
199.37 secs, 2804 evals, 2689 steps, improv/step: 0.262 (last = 0.0000), fitness=0.038192854
199.87 secs, 2811 evals, 2696 steps, improv/step: 0.261 (last = 0.0000), fitness=0.038192854
200.41 secs, 2818 evals, 2703 steps, improv/step: 0.261 (last = 0.0000), fitness=0.038192854
200.98 secs, 2826 evals, 2711 steps, improv/step: 0.260 (last = 0.0000), fitness=0.038192854
201.49 secs, 2833 evals, 2718 steps, improv/step: 0.259 (last = 0.0000), fitness=0.038192854
202.00 secs, 2840 evals, 2725 steps, improv/step: 0.259 (last = 0.1429), fitness=0.038192854
202.50 secs, 2847 evals, 2732 steps, improv/step: 0.259 (last = 0.2857), fitness=0.038192854
203.05 secs, 2855 evals, 2740 steps, improv/step: 0.258 (last = 0.0000), fitness=0.038192854
203.62 secs, 2863 evals, 2748 steps, improv/step: 0.258 (last = 0.1250), fitness=0.038192854
204.18 secs, 2871 evals, 2756 steps, improv/step: 0.258 (last = 0.1250), fitness=0.038192854
204.73 secs, 2879 evals, 2764 steps, improv/step: 0.257 (last = 0.0000), fitness=0.038192854
205.30 secs, 2887 evals, 2772 steps, improv/step: 0.256 (last = 0.0000), fitness=0.038192854
205.86 secs, 2895 evals, 2780 steps, improv/step: 0.256 (last = 0.1250), fitness=0.038192854
206.42 secs, 2903 evals, 2788 steps, improv/step: 0.255 (last = 0.0000), fitness=0.038192854
206.98 secs, 2911 evals, 2796 steps, improv/step: 0.254 (last = 0.0000), fitness=0.038192854
207.50 secs, 2918 evals, 2803 steps, improv/step: 0.254 (last = 0.1429), fitness=0.038192854
208.01 secs, 2925 evals, 2810 steps, improv/step: 0.253 (last = 0.0000), fitness=0.038192854
208.57 secs, 2933 evals, 2818 steps, improv/step: 0.253 (last = 0.2500), fitness=0.038192854
209.14 secs, 2941 evals, 2826 steps, improv/step: 0.253 (last = 0.1250), fitness=0.038192854
209.70 secs, 2949 evals, 2834 steps, improv/step: 0.252 (last = 0.0000), fitness=0.038192854
210.27 secs, 2957 evals, 2842 steps, improv/step: 0.252 (last = 0.1250), fitness=0.038192854
210.82 secs, 2965 evals, 2850 steps, improv/step: 0.251 (last = 0.0000), fitness=0.038192854
211.36 secs, 2972 evals, 2857 steps, improv/step: 0.251 (last = 0.0000), fitness=0.038192854
211.92 secs, 2980 evals, 2865 steps, improv/step: 0.250 (last = 0.0000), fitness=0.038192854
212.49 secs, 2988 evals, 2873 steps, improv/step: 0.250 (last = 0.1250), fitness=0.038192854
213.01 secs, 2995 evals, 2880 steps, improv/step: 0.250 (last = 0.4286), fitness=0.038192854
213.58 secs, 3003 evals, 2888 steps, improv/step: 0.250 (last = 0.1250), fitness=0.038192854
214.12 secs, 3010 evals, 2895 steps, improv/step: 0.249 (last = 0.0000), fitness=0.038192854
214.64 secs, 3017 evals, 2902 steps, improv/step: 0.248 (last = 0.0000), fitness=0.038192854
215.20 secs, 3025 evals, 2910 steps, improv/step: 0.249 (last = 0.3750), fitness=0.038192854
215.76 secs, 3033 evals, 2918 steps, improv/step: 0.248 (last = 0.0000), fitness=0.038192854
216.31 secs, 3041 evals, 2926 steps, improv/step: 0.247 (last = 0.0000), fitness=0.038192854
216.87 secs, 3049 evals, 2934 steps, improv/step: 0.247 (last = 0.0000), fitness=0.038192854
217.42 secs, 3057 evals, 2942 steps, improv/step: 0.246 (last = 0.1250), fitness=0.038192854
217.97 secs, 3065 evals, 2950 steps, improv/step: 0.246 (last = 0.1250), fitness=0.038192854
218.54 secs, 3073 evals, 2958 steps, improv/step: 0.246 (last = 0.1250), fitness=0.038192854
219.10 secs, 3081 evals, 2966 steps, improv/step: 0.245 (last = 0.1250), fitness=0.038192854
219.65 secs, 3089 evals, 2974 steps, improv/step: 0.245 (last = 0.2500), fitness=0.038192854
220.22 secs, 3097 evals, 2982 steps, improv/step: 0.245 (last = 0.2500), fitness=0.038192854
220.76 secs, 3104 evals, 2989 steps, improv/step: 0.245 (last = 0.0000), fitness=0.038192854
221.32 secs, 3112 evals, 2997 steps, improv/step: 0.244 (last = 0.0000), fitness=0.038192854
221.83 secs, 3119 evals, 3004 steps, improv/step: 0.244 (last = 0.0000), fitness=0.038192854
222.39 secs, 3127 evals, 3012 steps, improv/step: 0.243 (last = 0.0000), fitness=0.038192854
222.91 secs, 3134 evals, 3019 steps, improv/step: 0.243 (last = 0.1429), fitness=0.038192854
223.42 secs, 3141 evals, 3026 steps, improv/step: 0.243 (last = 0.1429), fitness=0.038192854
223.99 secs, 3149 evals, 3034 steps, improv/step: 0.242 (last = 0.0000), fitness=0.038192854
224.55 secs, 3157 evals, 3042 steps, improv/step: 0.242 (last = 0.1250), fitness=0.038192854
225.11 secs, 3165 evals, 3050 steps, improv/step: 0.241 (last = 0.0000), fitness=0.038192854
225.67 secs, 3173 evals, 3058 steps, improv/step: 0.241 (last = 0.1250), fitness=0.038192854
226.23 secs, 3181 evals, 3066 steps, improv/step: 0.240 (last = 0.0000), fitness=0.038192854
226.80 secs, 3189 evals, 3074 steps, improv/step: 0.240 (last = 0.2500), fitness=0.038192854
227.36 secs, 3197 evals, 3082 steps, improv/step: 0.239 (last = 0.0000), fitness=0.038192854
227.92 secs, 3205 evals, 3090 steps, improv/step: 0.239 (last = 0.0000), fitness=0.038192854
228.49 secs, 3213 evals, 3098 steps, improv/step: 0.238 (last = 0.0000), fitness=0.038192854
229.05 secs, 3221 evals, 3106 steps, improv/step: 0.238 (last = 0.0000), fitness=0.038192854
229.61 secs, 3229 evals, 3114 steps, improv/step: 0.237 (last = 0.1250), fitness=0.038192854
230.17 secs, 3237 evals, 3122 steps, improv/step: 0.237 (last = 0.0000), fitness=0.038192854
230.74 secs, 3245 evals, 3130 steps, improv/step: 0.237 (last = 0.2500), fitness=0.038192854
231.31 secs, 3253 evals, 3138 steps, improv/step: 0.236 (last = 0.1250), fitness=0.038192854
231.87 secs, 3261 evals, 3146 steps, improv/step: 0.237 (last = 0.3750), fitness=0.038192854
232.43 secs, 3269 evals, 3154 steps, improv/step: 0.237 (last = 0.1250), fitness=0.038192854
233.00 secs, 3277 evals, 3162 steps, improv/step: 0.236 (last = 0.1250), fitness=0.038192854
233.57 secs, 3285 evals, 3170 steps, improv/step: 0.236 (last = 0.2500), fitness=0.038192854
234.12 secs, 3293 evals, 3178 steps, improv/step: 0.236 (last = 0.2500), fitness=0.038192854
234.68 secs, 3301 evals, 3186 steps, improv/step: 0.236 (last = 0.0000), fitness=0.038192854
235.24 secs, 3309 evals, 3194 steps, improv/step: 0.235 (last = 0.0000), fitness=0.038192854
235.78 secs, 3317 evals, 3202 steps, improv/step: 0.235 (last = 0.0000), fitness=0.038192854
236.32 secs, 3325 evals, 3210 steps, improv/step: 0.234 (last = 0.0000), fitness=0.038192854
236.89 secs, 3333 evals, 3218 steps, improv/step: 0.233 (last = 0.0000), fitness=0.038192854
237.44 secs, 3341 evals, 3226 steps, improv/step: 0.233 (last = 0.1250), fitness=0.038192854
237.99 secs, 3349 evals, 3234 steps, improv/step: 0.233 (last = 0.2500), fitness=0.038192854
238.54 secs, 3357 evals, 3242 steps, improv/step: 0.233 (last = 0.1250), fitness=0.038192854
239.10 secs, 3365 evals, 3250 steps, improv/step: 0.233 (last = 0.2500), fitness=0.038192854
239.65 secs, 3373 evals, 3258 steps, improv/step: 0.233 (last = 0.1250), fitness=0.038192854
240.19 secs, 3381 evals, 3266 steps, improv/step: 0.232 (last = 0.1250), fitness=0.038192854
240.75 secs, 3389 evals, 3274 steps, improv/step: 0.232 (last = 0.1250), fitness=0.038192854
241.26 secs, 3396 evals, 3281 steps, improv/step: 0.232 (last = 0.1429), fitness=0.038192854
241.76 secs, 3403 evals, 3288 steps, improv/step: 0.232 (last = 0.4286), fitness=0.038192854
242.32 secs, 3411 evals, 3296 steps, improv/step: 0.232 (last = 0.2500), fitness=0.038192854
242.88 secs, 3419 evals, 3304 steps, improv/step: 0.232 (last = 0.1250), fitness=0.038192854
243.44 secs, 3427 evals, 3312 steps, improv/step: 0.232 (last = 0.1250), fitness=0.038192854
243.98 secs, 3435 evals, 3320 steps, improv/step: 0.232 (last = 0.1250), fitness=0.038192854
244.53 secs, 3443 evals, 3328 steps, improv/step: 0.231 (last = 0.0000), fitness=0.038192854
245.08 secs, 3451 evals, 3336 steps, improv/step: 0.231 (last = 0.2500), fitness=0.038192854
245.65 secs, 3459 evals, 3344 steps, improv/step: 0.231 (last = 0.2500), fitness=0.038192854
246.20 secs, 3467 evals, 3352 steps, improv/step: 0.231 (last = 0.1250), fitness=0.038192854
246.76 secs, 3475 evals, 3360 steps, improv/step: 0.231 (last = 0.3750), fitness=0.038192854
247.31 secs, 3483 evals, 3368 steps, improv/step: 0.231 (last = 0.2500), fitness=0.038192854
247.84 secs, 3490 evals, 3375 steps, improv/step: 0.231 (last = 0.1429), fitness=0.038192854
248.41 secs, 3498 evals, 3383 steps, improv/step: 0.231 (last = 0.2500), fitness=0.038192854
248.92 secs, 3505 evals, 3390 steps, improv/step: 0.231 (last = 0.1429), fitness=0.038192854
249.42 secs, 3512 evals, 3397 steps, improv/step: 0.231 (last = 0.4286), fitness=0.038192854
249.98 secs, 3520 evals, 3405 steps, improv/step: 0.231 (last = 0.2500), fitness=0.038192854
250.55 secs, 3528 evals, 3413 steps, improv/step: 0.231 (last = 0.2500), fitness=0.038192854
251.06 secs, 3535 evals, 3420 steps, improv/step: 0.231 (last = 0.1429), fitness=0.038192854
251.62 secs, 3543 evals, 3428 steps, improv/step: 0.232 (last = 0.3750), fitness=0.038192854
252.18 secs, 3551 evals, 3436 steps, improv/step: 0.232 (last = 0.2500), fitness=0.038192854
252.74 secs, 3559 evals, 3444 steps, improv/step: 0.232 (last = 0.2500), fitness=0.038192854
253.30 secs, 3567 evals, 3452 steps, improv/step: 0.231 (last = 0.0000), fitness=0.038192854
253.85 secs, 3575 evals, 3460 steps, improv/step: 0.231 (last = 0.1250), fitness=0.038192854
254.35 secs, 3582 evals, 3467 steps, improv/step: 0.231 (last = 0.1429), fitness=0.038192854
254.91 secs, 3590 evals, 3475 steps, improv/step: 0.231 (last = 0.1250), fitness=0.038192854
255.47 secs, 3598 evals, 3483 steps, improv/step: 0.231 (last = 0.2500), fitness=0.038192854
256.04 secs, 3606 evals, 3491 steps, improv/step: 0.231 (last = 0.2500), fitness=0.038192854
256.60 secs, 3614 evals, 3499 steps, improv/step: 0.230 (last = 0.1250), fitness=0.038192854
257.16 secs, 3622 evals, 3507 steps, improv/step: 0.230 (last = 0.2500), fitness=0.038192854
257.73 secs, 3630 evals, 3515 steps, improv/step: 0.230 (last = 0.2500), fitness=0.038192854
258.30 secs, 3638 evals, 3523 steps, improv/step: 0.230 (last = 0.2500), fitness=0.038192854
258.81 secs, 3645 evals, 3530 steps, improv/step: 0.230 (last = 0.0000), fitness=0.038192854
259.32 secs, 3652 evals, 3537 steps, improv/step: 0.230 (last = 0.1429), fitness=0.038192854
259.89 secs, 3660 evals, 3545 steps, improv/step: 0.230 (last = 0.3750), fitness=0.038192854
260.39 secs, 3667 evals, 3552 steps, improv/step: 0.231 (last = 0.4286), fitness=0.038192854
260.91 secs, 3674 evals, 3559 steps, improv/step: 0.230 (last = 0.0000), fitness=0.038192854
261.47 secs, 3682 evals, 3567 steps, improv/step: 0.230 (last = 0.2500), fitness=0.038192854
262.03 secs, 3690 evals, 3575 steps, improv/step: 0.230 (last = 0.3750), fitness=0.038192854
262.59 secs, 3698 evals, 3583 steps, improv/step: 0.230 (last = 0.1250), fitness=0.038192854
263.15 secs, 3706 evals, 3591 steps, improv/step: 0.230 (last = 0.0000), fitness=0.038192854
263.65 secs, 3713 evals, 3598 steps, improv/step: 0.230 (last = 0.1429), fitness=0.038192854
264.18 secs, 3720 evals, 3605 steps, improv/step: 0.230 (last = 0.4286), fitness=0.038192854
264.75 secs, 3728 evals, 3613 steps, improv/step: 0.230 (last = 0.1250), fitness=0.038192854
265.32 secs, 3736 evals, 3621 steps, improv/step: 0.229 (last = 0.1250), fitness=0.038192854
265.83 secs, 3743 evals, 3628 steps, improv/step: 0.229 (last = 0.0000), fitness=0.038192854
266.40 secs, 3751 evals, 3636 steps, improv/step: 0.229 (last = 0.2500), fitness=0.038192854
266.97 secs, 3759 evals, 3644 steps, improv/step: 0.229 (last = 0.1250), fitness=0.038192854
267.54 secs, 3767 evals, 3652 steps, improv/step: 0.229 (last = 0.2500), fitness=0.038192854
268.09 secs, 3775 evals, 3660 steps, improv/step: 0.229 (last = 0.1250), fitness=0.038192854
268.65 secs, 3783 evals, 3668 steps, improv/step: 0.229 (last = 0.2500), fitness=0.038192854
269.23 secs, 3791 evals, 3676 steps, improv/step: 0.229 (last = 0.2500), fitness=0.038192854
269.73 secs, 3798 evals, 3683 steps, improv/step: 0.229 (last = 0.5714), fitness=0.038192854
270.23 secs, 3805 evals, 3690 steps, improv/step: 0.230 (last = 0.2857), fitness=0.038192854
270.73 secs, 3812 evals, 3697 steps, improv/step: 0.229 (last = 0.1429), fitness=0.038192854
271.30 secs, 3820 evals, 3705 steps, improv/step: 0.230 (last = 0.3750), fitness=0.038192854
271.86 secs, 3828 evals, 3713 steps, improv/step: 0.229 (last = 0.1250), fitness=0.038192854
272.36 secs, 3835 evals, 3720 steps, improv/step: 0.229 (last = 0.1429), fitness=0.038192854
272.93 secs, 3843 evals, 3728 steps, improv/step: 0.229 (last = 0.2500), fitness=0.038192854
273.44 secs, 3850 evals, 3735 steps, improv/step: 0.229 (last = 0.1429), fitness=0.038192854
273.96 secs, 3857 evals, 3742 steps, improv/step: 0.229 (last = 0.1429), fitness=0.038192854
274.53 secs, 3865 evals, 3750 steps, improv/step: 0.229 (last = 0.3750), fitness=0.038192854
275.03 secs, 3872 evals, 3757 steps, improv/step: 0.229 (last = 0.2857), fitness=0.038192854
275.54 secs, 3879 evals, 3764 steps, improv/step: 0.229 (last = 0.1429), fitness=0.038192854
276.05 secs, 3886 evals, 3771 steps, improv/step: 0.229 (last = 0.0000), fitness=0.038192854
276.62 secs, 3894 evals, 3779 steps, improv/step: 0.229 (last = 0.1250), fitness=0.038192854
277.18 secs, 3902 evals, 3787 steps, improv/step: 0.229 (last = 0.2500), fitness=0.038192854
277.75 secs, 3910 evals, 3795 steps, improv/step: 0.228 (last = 0.1250), fitness=0.038192854
278.31 secs, 3918 evals, 3803 steps, improv/step: 0.228 (last = 0.1250), fitness=0.038192854
278.83 secs, 3925 evals, 3810 steps, improv/step: 0.228 (last = 0.2857), fitness=0.038192854
279.34 secs, 3932 evals, 3817 steps, improv/step: 0.228 (last = 0.1429), fitness=0.038192854
279.91 secs, 3940 evals, 3825 steps, improv/step: 0.228 (last = 0.1250), fitness=0.038192854
280.42 secs, 3947 evals, 3832 steps, improv/step: 0.228 (last = 0.2857), fitness=0.038192854
280.92 secs, 3954 evals, 3839 steps, improv/step: 0.228 (last = 0.2857), fitness=0.038192854
281.44 secs, 3961 evals, 3846 steps, improv/step: 0.229 (last = 0.5714), fitness=0.038192854
281.94 secs, 3968 evals, 3853 steps, improv/step: 0.229 (last = 0.2857), fitness=0.038192854
282.45 secs, 3975 evals, 3860 steps, improv/step: 0.229 (last = 0.2857), fitness=0.038192854
282.96 secs, 3982 evals, 3867 steps, improv/step: 0.229 (last = 0.2857), fitness=0.038192854
283.53 secs, 3990 evals, 3875 steps, improv/step: 0.229 (last = 0.0000), fitness=0.038192854
284.03 secs, 3997 evals, 3882 steps, improv/step: 0.229 (last = 0.2857), fitness=0.038192854
284.59 secs, 4005 evals, 3890 steps, improv/step: 0.229 (last = 0.2500), fitness=0.038192854
285.15 secs, 4013 evals, 3898 steps, improv/step: 0.228 (last = 0.0000), fitness=0.038192854
285.72 secs, 4021 evals, 3906 steps, improv/step: 0.228 (last = 0.2500), fitness=0.038192854
286.28 secs, 4029 evals, 3914 steps, improv/step: 0.229 (last = 0.3750), fitness=0.038192854
286.83 secs, 4037 evals, 3922 steps, improv/step: 0.229 (last = 0.3750), fitness=0.038192854
287.40 secs, 4045 evals, 3930 steps, improv/step: 0.229 (last = 0.2500), fitness=0.038192854
287.96 secs, 4053 evals, 3938 steps, improv/step: 0.229 (last = 0.2500), fitness=0.038192854
288.52 secs, 4061 evals, 3946 steps, improv/step: 0.229 (last = 0.1250), fitness=0.038192854
289.08 secs, 4069 evals, 3954 steps, improv/step: 0.228 (last = 0.0000), fitness=0.038192854
289.65 secs, 4077 evals, 3962 steps, improv/step: 0.229 (last = 0.3750), fitness=0.038192854
290.16 secs, 4084 evals, 3969 steps, improv/step: 0.229 (last = 0.2857), fitness=0.038192854
290.72 secs, 4092 evals, 3977 steps, improv/step: 0.229 (last = 0.2500), fitness=0.038192854
291.29 secs, 4100 evals, 3985 steps, improv/step: 0.229 (last = 0.1250), fitness=0.038192854
291.81 secs, 4107 evals, 3992 steps, improv/step: 0.229 (last = 0.2857), fitness=0.038192854
292.38 secs, 4115 evals, 4000 steps, improv/step: 0.229 (last = 0.1250), fitness=0.038192854
292.94 secs, 4123 evals, 4008 steps, improv/step: 0.228 (last = 0.0000), fitness=0.038192854
293.44 secs, 4130 evals, 4015 steps, improv/step: 0.228 (last = 0.2857), fitness=0.038192854
294.01 secs, 4138 evals, 4023 steps, improv/step: 0.228 (last = 0.1250), fitness=0.038192854
294.58 secs, 4146 evals, 4031 steps, improv/step: 0.228 (last = 0.2500), fitness=0.038192854
295.08 secs, 4153 evals, 4038 steps, improv/step: 0.228 (last = 0.0000), fitness=0.038192854
295.58 secs, 4160 evals, 4045 steps, improv/step: 0.228 (last = 0.2857), fitness=0.038192854
296.15 secs, 4168 evals, 4053 steps, improv/step: 0.228 (last = 0.2500), fitness=0.038192854
296.71 secs, 4176 evals, 4061 steps, improv/step: 0.228 (last = 0.1250), fitness=0.038192854
297.21 secs, 4183 evals, 4068 steps, improv/step: 0.227 (last = 0.1429), fitness=0.038192854
297.78 secs, 4191 evals, 4076 steps, improv/step: 0.227 (last = 0.2500), fitness=0.038192854
298.35 secs, 4199 evals, 4084 steps, improv/step: 0.227 (last = 0.1250), fitness=0.038192854
298.85 secs, 4206 evals, 4091 steps, improv/step: 0.228 (last = 0.4286), fitness=0.038192854
299.35 secs, 4213 evals, 4098 steps, improv/step: 0.228 (last = 0.5714), fitness=0.038192854
299.92 secs, 4221 evals, 4106 steps, improv/step: 0.228 (last = 0.1250), fitness=0.038192854
300.42 secs, 4228 evals, 4113 steps, improv/step: 0.228 (last = 0.4286), fitness=0.038192854
300.99 secs, 4236 evals, 4121 steps, improv/step: 0.228 (last = 0.0000), fitness=0.038192854
301.55 secs, 4244 evals, 4129 steps, improv/step: 0.228 (last = 0.3750), fitness=0.038192854
302.12 secs, 4252 evals, 4137 steps, improv/step: 0.228 (last = 0.1250), fitness=0.038192854
302.68 secs, 4260 evals, 4145 steps, improv/step: 0.228 (last = 0.1250), fitness=0.038192854
303.27 secs, 4268 evals, 4153 steps, improv/step: 0.228 (last = 0.1250), fitness=0.038192854
303.79 secs, 4275 evals, 4160 steps, improv/step: 0.227 (last = 0.1429), fitness=0.038192854
304.29 secs, 4282 evals, 4167 steps, improv/step: 0.228 (last = 0.4286), fitness=0.038192854
304.79 secs, 4288 evals, 4173 steps, improv/step: 0.228 (last = 0.1667), fitness=0.038192854
305.31 secs, 4294 evals, 4179 steps, improv/step: 0.228 (last = 0.1667), fitness=0.038192854
305.87 secs, 4302 evals, 4187 steps, improv/step: 0.228 (last = 0.2500), fitness=0.038192854
306.43 secs, 4310 evals, 4195 steps, improv/step: 0.228 (last = 0.2500), fitness=0.038192854
306.99 secs, 4318 evals, 4203 steps, improv/step: 0.228 (last = 0.2500), fitness=0.038192854
307.56 secs, 4326 evals, 4211 steps, improv/step: 0.228 (last = 0.3750), fitness=0.038192854
308.12 secs, 4334 evals, 4219 steps, improv/step: 0.228 (last = 0.2500), fitness=0.038192854
308.62 secs, 4341 evals, 4226 steps, improv/step: 0.228 (last = 0.4286), fitness=0.038192854
309.13 secs, 4348 evals, 4233 steps, improv/step: 0.228 (last = 0.1429), fitness=0.038192854
309.69 secs, 4356 evals, 4241 steps, improv/step: 0.229 (last = 0.6250), fitness=0.038192854
310.19 secs, 4363 evals, 4248 steps, improv/step: 0.229 (last = 0.4286), fitness=0.038192854
310.76 secs, 4371 evals, 4256 steps, improv/step: 0.229 (last = 0.1250), fitness=0.038192854
311.32 secs, 4379 evals, 4264 steps, improv/step: 0.230 (last = 0.5000), fitness=0.038192854
311.82 secs, 4386 evals, 4271 steps, improv/step: 0.230 (last = 0.2857), fitness=0.038192854
312.33 secs, 4393 evals, 4278 steps, improv/step: 0.230 (last = 0.1429), fitness=0.038192854
312.83 secs, 4400 evals, 4285 steps, improv/step: 0.230 (last = 0.4286), fitness=0.038192854
313.36 secs, 4407 evals, 4292 steps, improv/step: 0.230 (last = 0.1429), fitness=0.038192854
313.92 secs, 4415 evals, 4300 steps, improv/step: 0.230 (last = 0.2500), fitness=0.038192854
314.47 secs, 4422 evals, 4307 steps, improv/step: 0.230 (last = 0.4286), fitness=0.038192854
315.04 secs, 4430 evals, 4315 steps, improv/step: 0.230 (last = 0.1250), fitness=0.038192854
315.60 secs, 4438 evals, 4323 steps, improv/step: 0.230 (last = 0.5000), fitness=0.038192854
316.16 secs, 4446 evals, 4331 steps, improv/step: 0.230 (last = 0.1250), fitness=0.038192854
316.73 secs, 4454 evals, 4339 steps, improv/step: 0.230 (last = 0.3750), fitness=0.038192854
317.29 secs, 4462 evals, 4347 steps, improv/step: 0.231 (last = 0.2500), fitness=0.038192854
317.85 secs, 4470 evals, 4355 steps, improv/step: 0.231 (last = 0.2500), fitness=0.038192854
318.41 secs, 4478 evals, 4363 steps, improv/step: 0.230 (last = 0.0000), fitness=0.038192854
318.92 secs, 4485 evals, 4370 steps, improv/step: 0.230 (last = 0.2857), fitness=0.038192854
319.42 secs, 4492 evals, 4377 steps, improv/step: 0.230 (last = 0.0000), fitness=0.038192854
319.98 secs, 4499 evals, 4384 steps, improv/step: 0.230 (last = 0.2857), fitness=0.038192854
320.54 secs, 4507 evals, 4393 steps, improv/step: 0.230 (last = 0.1111), fitness=0.038192854
321.09 secs, 4514 evals, 4400 steps, improv/step: 0.230 (last = 0.2857), fitness=0.038192854
321.65 secs, 4522 evals, 4408 steps, improv/step: 0.230 (last = 0.2500), fitness=0.038192854
322.16 secs, 4529 evals, 4415 steps, improv/step: 0.230 (last = 0.2857), fitness=0.038192854
322.67 secs, 4536 evals, 4422 steps, improv/step: 0.230 (last = 0.1429), fitness=0.038192854
323.17 secs, 4543 evals, 4429 steps, improv/step: 0.230 (last = 0.1429), fitness=0.038192854
323.74 secs, 4551 evals, 4437 steps, improv/step: 0.230 (last = 0.3750), fitness=0.038192854
324.30 secs, 4559 evals, 4445 steps, improv/step: 0.231 (last = 0.6250), fitness=0.038192854
324.86 secs, 4567 evals, 4453 steps, improv/step: 0.230 (last = 0.1250), fitness=0.038192854
325.43 secs, 4575 evals, 4461 steps, improv/step: 0.230 (last = 0.0000), fitness=0.038192854
325.93 secs, 4582 evals, 4468 steps, improv/step: 0.231 (last = 0.5714), fitness=0.038192854
326.49 secs, 4590 evals, 4476 steps, improv/step: 0.231 (last = 0.5000), fitness=0.038192854
327.06 secs, 4598 evals, 4484 steps, improv/step: 0.231 (last = 0.2500), fitness=0.038192854
327.62 secs, 4605 evals, 4491 steps, improv/step: 0.231 (last = 0.1429), fitness=0.038192854
328.18 secs, 4613 evals, 4499 steps, improv/step: 0.231 (last = 0.2500), fitness=0.038192854
328.75 secs, 4621 evals, 4507 steps, improv/step: 0.231 (last = 0.2500), fitness=0.038192854
329.31 secs, 4629 evals, 4515 steps, improv/step: 0.231 (last = 0.3750), fitness=0.038192854
329.87 secs, 4637 evals, 4523 steps, improv/step: 0.231 (last = 0.2500), fitness=0.038192854
330.44 secs, 4645 evals, 4531 steps, improv/step: 0.232 (last = 0.3750), fitness=0.038192854
331.01 secs, 4653 evals, 4539 steps, improv/step: 0.232 (last = 0.3750), fitness=0.038192854
331.58 secs, 4661 evals, 4547 steps, improv/step: 0.232 (last = 0.2500), fitness=0.038192854
332.13 secs, 4669 evals, 4555 steps, improv/step: 0.232 (last = 0.5000), fitness=0.038192854
332.67 secs, 4677 evals, 4563 steps, improv/step: 0.233 (last = 0.5000), fitness=0.038192854
333.23 secs, 4685 evals, 4571 steps, improv/step: 0.233 (last = 0.1250), fitness=0.038192854
333.77 secs, 4693 evals, 4579 steps, improv/step: 0.233 (last = 0.3750), fitness=0.038192854
334.31 secs, 4701 evals, 4587 steps, improv/step: 0.233 (last = 0.1250), fitness=0.038192854
334.86 secs, 4709 evals, 4595 steps, improv/step: 0.233 (last = 0.3750), fitness=0.038192854
335.40 secs, 4717 evals, 4603 steps, improv/step: 0.234 (last = 0.6250), fitness=0.038192854
335.95 secs, 4725 evals, 4611 steps, improv/step: 0.234 (last = 0.2500), fitness=0.038192854
336.50 secs, 4733 evals, 4619 steps, improv/step: 0.234 (last = 0.2500), fitness=0.038192854
337.06 secs, 4741 evals, 4627 steps, improv/step: 0.234 (last = 0.3750), fitness=0.038192854
337.63 secs, 4749 evals, 4635 steps, improv/step: 0.234 (last = 0.3750), fitness=0.038192854
338.19 secs, 4757 evals, 4643 steps, improv/step: 0.234 (last = 0.1250), fitness=0.038192854
338.74 secs, 4765 evals, 4651 steps, improv/step: 0.234 (last = 0.3750), fitness=0.038192854
339.30 secs, 4773 evals, 4659 steps, improv/step: 0.235 (last = 0.5000), fitness=0.038192854
339.87 secs, 4781 evals, 4667 steps, improv/step: 0.235 (last = 0.5000), fitness=0.038192854
340.44 secs, 4789 evals, 4675 steps, improv/step: 0.235 (last = 0.2500), fitness=0.038192854
341.00 secs, 4797 evals, 4683 steps, improv/step: 0.235 (last = 0.1250), fitness=0.038192854
341.50 secs, 4804 evals, 4690 steps, improv/step: 0.235 (last = 0.5714), fitness=0.038192854
342.03 secs, 4811 evals, 4697 steps, improv/step: 0.236 (last = 0.4286), fitness=0.038192854
342.59 secs, 4819 evals, 4705 steps, improv/step: 0.236 (last = 0.3750), fitness=0.038192854
343.15 secs, 4827 evals, 4713 steps, improv/step: 0.236 (last = 0.3750), fitness=0.038192854
343.66 secs, 4834 evals, 4720 steps, improv/step: 0.236 (last = 0.2857), fitness=0.038192854
344.18 secs, 4841 evals, 4727 steps, improv/step: 0.237 (last = 0.4286), fitness=0.038192854
344.75 secs, 4849 evals, 4735 steps, improv/step: 0.237 (last = 0.2500), fitness=0.038192854
345.30 secs, 4856 evals, 4742 steps, improv/step: 0.237 (last = 0.4286), fitness=0.038192854
345.81 secs, 4863 evals, 4749 steps, improv/step: 0.237 (last = 0.2857), fitness=0.038192854
346.31 secs, 4870 evals, 4756 steps, improv/step: 0.237 (last = 0.2857), fitness=0.038192854
346.87 secs, 4878 evals, 4764 steps, improv/step: 0.238 (last = 0.6250), fitness=0.038192854
347.41 secs, 4885 evals, 4771 steps, improv/step: 0.238 (last = 0.2857), fitness=0.038192854
347.97 secs, 4893 evals, 4779 steps, improv/step: 0.237 (last = 0.1250), fitness=0.038192854
348.54 secs, 4901 evals, 4787 steps, improv/step: 0.237 (last = 0.0000), fitness=0.038192854
349.10 secs, 4909 evals, 4795 steps, improv/step: 0.237 (last = 0.2500), fitness=0.038192854
349.66 secs, 4917 evals, 4803 steps, improv/step: 0.238 (last = 0.5000), fitness=0.038192854
350.23 secs, 4925 evals, 4811 steps, improv/step: 0.238 (last = 0.5000), fitness=0.038192854
350.73 secs, 4932 evals, 4818 steps, improv/step: 0.238 (last = 0.4286), fitness=0.038192854
351.24 secs, 4939 evals, 4825 steps, improv/step: 0.238 (last = 0.2857), fitness=0.038192854
351.81 secs, 4947 evals, 4833 steps, improv/step: 0.239 (last = 0.6250), fitness=0.038192854
352.37 secs, 4955 evals, 4841 steps, improv/step: 0.239 (last = 0.1250), fitness=0.038192854
352.94 secs, 4963 evals, 4849 steps, improv/step: 0.239 (last = 0.3750), fitness=0.038192854
353.50 secs, 4971 evals, 4857 steps, improv/step: 0.239 (last = 0.1250), fitness=0.038192854
354.06 secs, 4979 evals, 4865 steps, improv/step: 0.239 (last = 0.2500), fitness=0.038192854
354.63 secs, 4987 evals, 4873 steps, improv/step: 0.239 (last = 0.5000), fitness=0.038192854
355.19 secs, 4995 evals, 4881 steps, improv/step: 0.239 (last = 0.2500), fitness=0.038192854
355.76 secs, 5003 evals, 4889 steps, improv/step: 0.239 (last = 0.1250), fitness=0.038192854
356.27 secs, 5010 evals, 4896 steps, improv/step: 0.239 (last = 0.4286), fitness=0.038192854
356.77 secs, 5017 evals, 4903 steps, improv/step: 0.239 (last = 0.2857), fitness=0.038192854
357.33 secs, 5025 evals, 4911 steps, improv/step: 0.239 (last = 0.1250), fitness=0.038192854
357.90 secs, 5033 evals, 4919 steps, improv/step: 0.239 (last = 0.0000), fitness=0.038192854
358.47 secs, 5041 evals, 4927 steps, improv/step: 0.238 (last = 0.0000), fitness=0.038192854
358.97 secs, 5048 evals, 4934 steps, improv/step: 0.239 (last = 0.4286), fitness=0.038192854
359.47 secs, 5055 evals, 4941 steps, improv/step: 0.239 (last = 0.4286), fitness=0.038192854
359.98 secs, 5062 evals, 4948 steps, improv/step: 0.239 (last = 0.4286), fitness=0.038192854
360.54 secs, 5070 evals, 4956 steps, improv/step: 0.240 (last = 0.6250), fitness=0.038192854
361.07 secs, 5077 evals, 4963 steps, improv/step: 0.240 (last = 0.4286), fitness=0.038192854
361.64 secs, 5085 evals, 4971 steps, improv/step: 0.240 (last = 0.1250), fitness=0.038192854
362.20 secs, 5093 evals, 4979 steps, improv/step: 0.240 (last = 0.2500), fitness=0.038192854
362.77 secs, 5101 evals, 4987 steps, improv/step: 0.240 (last = 0.1250), fitness=0.038192854
363.33 secs, 5109 evals, 4995 steps, improv/step: 0.240 (last = 0.2500), fitness=0.038192854
363.85 secs, 5116 evals, 5002 steps, improv/step: 0.240 (last = 0.1429), fitness=0.038192854
364.42 secs, 5124 evals, 5010 steps, improv/step: 0.240 (last = 0.3750), fitness=0.038192854
364.98 secs, 5132 evals, 5018 steps, improv/step: 0.240 (last = 0.1250), fitness=0.038192854
365.54 secs, 5140 evals, 5026 steps, improv/step: 0.240 (last = 0.5000), fitness=0.038192854
366.04 secs, 5147 evals, 5033 steps, improv/step: 0.240 (last = 0.4286), fitness=0.038192854
366.54 secs, 5154 evals, 5040 steps, improv/step: 0.240 (last = 0.2857), fitness=0.038192854
367.04 secs, 5161 evals, 5047 steps, improv/step: 0.241 (last = 0.4286), fitness=0.038192854
367.57 secs, 5168 evals, 5054 steps, improv/step: 0.241 (last = 0.2857), fitness=0.038192854
368.13 secs, 5176 evals, 5062 steps, improv/step: 0.241 (last = 0.2500), fitness=0.038192854
368.69 secs, 5184 evals, 5070 steps, improv/step: 0.241 (last = 0.6250), fitness=0.038192854
369.26 secs, 5192 evals, 5078 steps, improv/step: 0.241 (last = 0.1250), fitness=0.038192854
369.82 secs, 5200 evals, 5086 steps, improv/step: 0.241 (last = 0.0000), fitness=0.038192854
370.38 secs, 5208 evals, 5094 steps, improv/step: 0.241 (last = 0.2500), fitness=0.038192854
370.94 secs, 5216 evals, 5102 steps, improv/step: 0.241 (last = 0.1250), fitness=0.038192854
371.50 secs, 5224 evals, 5110 steps, improv/step: 0.241 (last = 0.2500), fitness=0.038192854
372.07 secs, 5232 evals, 5118 steps, improv/step: 0.241 (last = 0.1250), fitness=0.038192854
372.64 secs, 5240 evals, 5126 steps, improv/step: 0.240 (last = 0.1250), fitness=0.038192854
373.20 secs, 5248 evals, 5134 steps, improv/step: 0.240 (last = 0.1250), fitness=0.038192854
373.76 secs, 5256 evals, 5142 steps, improv/step: 0.240 (last = 0.1250), fitness=0.038192854
374.32 secs, 5264 evals, 5150 steps, improv/step: 0.240 (last = 0.3750), fitness=0.038192854
374.88 secs, 5272 evals, 5158 steps, improv/step: 0.240 (last = 0.0000), fitness=0.038192854
375.44 secs, 5280 evals, 5166 steps, improv/step: 0.240 (last = 0.2500), fitness=0.038192854
375.94 secs, 5287 evals, 5173 steps, improv/step: 0.240 (last = 0.4286), fitness=0.038192854
376.50 secs, 5295 evals, 5181 steps, improv/step: 0.240 (last = 0.1250), fitness=0.038192854
377.03 secs, 5302 evals, 5188 steps, improv/step: 0.240 (last = 0.2857), fitness=0.038192854
377.53 secs, 5309 evals, 5195 steps, improv/step: 0.240 (last = 0.2857), fitness=0.038192854
378.10 secs, 5317 evals, 5203 steps, improv/step: 0.240 (last = 0.3750), fitness=0.038192854
378.66 secs, 5325 evals, 5211 steps, improv/step: 0.240 (last = 0.2500), fitness=0.038192854
379.23 secs, 5333 evals, 5219 steps, improv/step: 0.240 (last = 0.3750), fitness=0.038192854
379.74 secs, 5340 evals, 5226 steps, improv/step: 0.241 (last = 0.2857), fitness=0.038192854
380.29 secs, 5348 evals, 5234 steps, improv/step: 0.241 (last = 0.2500), fitness=0.038192854
380.81 secs, 5355 evals, 5241 steps, improv/step: 0.241 (last = 0.2857), fitness=0.038192854
381.37 secs, 5363 evals, 5249 steps, improv/step: 0.241 (last = 0.3750), fitness=0.038192854
381.92 secs, 5371 evals, 5257 steps, improv/step: 0.241 (last = 0.1250), fitness=0.038192854
382.43 secs, 5378 evals, 5264 steps, improv/step: 0.240 (last = 0.0000), fitness=0.038192854
382.99 secs, 5386 evals, 5272 steps, improv/step: 0.240 (last = 0.2500), fitness=0.038192854
383.55 secs, 5394 evals, 5280 steps, improv/step: 0.241 (last = 0.3750), fitness=0.038192854
384.12 secs, 5402 evals, 5288 steps, improv/step: 0.240 (last = 0.1250), fitness=0.038192854
384.68 secs, 5410 evals, 5296 steps, improv/step: 0.240 (last = 0.2500), fitness=0.038192854
385.19 secs, 5417 evals, 5303 steps, improv/step: 0.240 (last = 0.1429), fitness=0.038192854
385.71 secs, 5424 evals, 5310 steps, improv/step: 0.240 (last = 0.4286), fitness=0.038192854
386.24 secs, 5431 evals, 5317 steps, improv/step: 0.241 (last = 0.2857), fitness=0.038192854
386.74 secs, 5438 evals, 5324 steps, improv/step: 0.241 (last = 0.2857), fitness=0.038192854
387.26 secs, 5445 evals, 5331 steps, improv/step: 0.240 (last = 0.0000), fitness=0.038192854
387.76 secs, 5452 evals, 5338 steps, improv/step: 0.240 (last = 0.1429), fitness=0.038192854
388.33 secs, 5460 evals, 5346 steps, improv/step: 0.240 (last = 0.0000), fitness=0.038192854
388.83 secs, 5467 evals, 5353 steps, improv/step: 0.239 (last = 0.0000), fitness=0.038192854
389.35 secs, 5474 evals, 5360 steps, improv/step: 0.239 (last = 0.0000), fitness=0.038192854
389.85 secs, 5481 evals, 5367 steps, improv/step: 0.239 (last = 0.2857), fitness=0.038192854
390.42 secs, 5489 evals, 5375 steps, improv/step: 0.239 (last = 0.3750), fitness=0.038192854
390.92 secs, 5496 evals, 5382 steps, improv/step: 0.240 (last = 0.2857), fitness=0.038192854
391.49 secs, 5504 evals, 5390 steps, improv/step: 0.239 (last = 0.1250), fitness=0.038192854
392.05 secs, 5512 evals, 5398 steps, improv/step: 0.239 (last = 0.2500), fitness=0.038192854
392.56 secs, 5519 evals, 5405 steps, improv/step: 0.239 (last = 0.0000), fitness=0.038192854
393.12 secs, 5527 evals, 5413 steps, improv/step: 0.239 (last = 0.0000), fitness=0.038192854
393.68 secs, 5535 evals, 5421 steps, improv/step: 0.239 (last = 0.1250), fitness=0.038192854
394.19 secs, 5542 evals, 5428 steps, improv/step: 0.239 (last = 0.2857), fitness=0.038192854
394.75 secs, 5550 evals, 5436 steps, improv/step: 0.239 (last = 0.2500), fitness=0.038192854
395.31 secs, 5558 evals, 5444 steps, improv/step: 0.238 (last = 0.1250), fitness=0.038192854
395.88 secs, 5566 evals, 5452 steps, improv/step: 0.239 (last = 0.3750), fitness=0.038192854
396.44 secs, 5574 evals, 5460 steps, improv/step: 0.238 (last = 0.1250), fitness=0.038192854
396.99 secs, 5582 evals, 5468 steps, improv/step: 0.238 (last = 0.2500), fitness=0.038192854
397.55 secs, 5590 evals, 5476 steps, improv/step: 0.238 (last = 0.0000), fitness=0.038192854
398.09 secs, 5598 evals, 5484 steps, improv/step: 0.238 (last = 0.2500), fitness=0.038192854
398.64 secs, 5606 evals, 5492 steps, improv/step: 0.238 (last = 0.0000), fitness=0.038192854
399.19 secs, 5614 evals, 5500 steps, improv/step: 0.238 (last = 0.1250), fitness=0.038192854
399.74 secs, 5622 evals, 5508 steps, improv/step: 0.237 (last = 0.0000), fitness=0.038192854
400.29 secs, 5630 evals, 5516 steps, improv/step: 0.237 (last = 0.2500), fitness=0.038192854
400.82 secs, 5638 evals, 5524 steps, improv/step: 0.237 (last = 0.0000), fitness=0.038192854
401.38 secs, 5646 evals, 5532 steps, improv/step: 0.237 (last = 0.2500), fitness=0.038192854
401.90 secs, 5653 evals, 5539 steps, improv/step: 0.237 (last = 0.2857), fitness=0.038192854
402.46 secs, 5661 evals, 5547 steps, improv/step: 0.237 (last = 0.0000), fitness=0.038192854
402.96 secs, 5668 evals, 5554 steps, improv/step: 0.237 (last = 0.1429), fitness=0.038192854
403.53 secs, 5676 evals, 5562 steps, improv/step: 0.236 (last = 0.1250), fitness=0.038192854
404.09 secs, 5684 evals, 5570 steps, improv/step: 0.236 (last = 0.1250), fitness=0.038192854
404.65 secs, 5692 evals, 5578 steps, improv/step: 0.236 (last = 0.1250), fitness=0.038192854
405.23 secs, 5700 evals, 5586 steps, improv/step: 0.236 (last = 0.0000), fitness=0.038192854
405.76 secs, 5707 evals, 5593 steps, improv/step: 0.236 (last = 0.4286), fitness=0.038192854
406.32 secs, 5715 evals, 5601 steps, improv/step: 0.236 (last = 0.1250), fitness=0.038192854
406.88 secs, 5723 evals, 5609 steps, improv/step: 0.236 (last = 0.1250), fitness=0.038192854
407.44 secs, 5731 evals, 5617 steps, improv/step: 0.235 (last = 0.0000), fitness=0.038192854
408.00 secs, 5739 evals, 5625 steps, improv/step: 0.235 (last = 0.1250), fitness=0.038192854
408.56 secs, 5747 evals, 5633 steps, improv/step: 0.235 (last = 0.0000), fitness=0.038192854
409.13 secs, 5755 evals, 5641 steps, improv/step: 0.235 (last = 0.0000), fitness=0.038192854
409.70 secs, 5763 evals, 5649 steps, improv/step: 0.235 (last = 0.2500), fitness=0.038192854
410.21 secs, 5770 evals, 5656 steps, improv/step: 0.234 (last = 0.0000), fitness=0.038192854
410.72 secs, 5777 evals, 5663 steps, improv/step: 0.234 (last = 0.1429), fitness=0.038192854
411.25 secs, 5784 evals, 5670 steps, improv/step: 0.234 (last = 0.0000), fitness=0.038192854
411.76 secs, 5791 evals, 5677 steps, improv/step: 0.234 (last = 0.0000), fitness=0.038192854
412.30 secs, 5798 evals, 5684 steps, improv/step: 0.233 (last = 0.1429), fitness=0.038192854
412.82 secs, 5805 evals, 5691 steps, improv/step: 0.233 (last = 0.1429), fitness=0.038192854
413.38 secs, 5813 evals, 5699 steps, improv/step: 0.233 (last = 0.0000), fitness=0.038192854
413.88 secs, 5820 evals, 5706 steps, improv/step: 0.233 (last = 0.1429), fitness=0.038192854
414.45 secs, 5828 evals, 5715 steps, improv/step: 0.233 (last = 0.0000), fitness=0.038192854
415.01 secs, 5836 evals, 5723 steps, improv/step: 0.232 (last = 0.1250), fitness=0.038192854
415.51 secs, 5843 evals, 5730 steps, improv/step: 0.232 (last = 0.1429), fitness=0.038192854
416.07 secs, 5851 evals, 5738 steps, improv/step: 0.232 (last = 0.1250), fitness=0.038192854
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417.19 secs, 5867 evals, 5754 steps, improv/step: 0.232 (last = 0.0000), fitness=0.038192854
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418.27 secs, 5882 evals, 5769 steps, improv/step: 0.232 (last = 0.0000), fitness=0.038192854
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420.41 secs, 5912 evals, 5799 steps, improv/step: 0.231 (last = 0.1429), fitness=0.038192854
420.97 secs, 5920 evals, 5807 steps, improv/step: 0.231 (last = 0.1250), fitness=0.038192854
421.54 secs, 5928 evals, 5815 steps, improv/step: 0.231 (last = 0.0000), fitness=0.038192854
422.10 secs, 5936 evals, 5823 steps, improv/step: 0.231 (last = 0.2500), fitness=0.038192854
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423.80 secs, 5960 evals, 5847 steps, improv/step: 0.230 (last = 0.0000), fitness=0.038192854
424.36 secs, 5968 evals, 5855 steps, improv/step: 0.230 (last = 0.0000), fitness=0.038192854
424.92 secs, 5976 evals, 5863 steps, improv/step: 0.230 (last = 0.0000), fitness=0.038192854
425.48 secs, 5984 evals, 5871 steps, improv/step: 0.229 (last = 0.0000), fitness=0.038192854
426.03 secs, 5992 evals, 5879 steps, improv/step: 0.229 (last = 0.2500), fitness=0.038192854
426.60 secs, 6000 evals, 5887 steps, improv/step: 0.229 (last = 0.1250), fitness=0.038192854
427.15 secs, 6008 evals, 5895 steps, improv/step: 0.229 (last = 0.0000), fitness=0.038192854
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428.27 secs, 6024 evals, 5911 steps, improv/step: 0.229 (last = 0.0000), fitness=0.038192854
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429.95 secs, 6048 evals, 5936 steps, improv/step: 0.228 (last = 0.0000), fitness=0.038192854
430.50 secs, 6056 evals, 5944 steps, improv/step: 0.228 (last = 0.2500), fitness=0.038192854
431.05 secs, 6064 evals, 5952 steps, improv/step: 0.228 (last = 0.0000), fitness=0.038192854
431.62 secs, 6072 evals, 5960 steps, improv/step: 0.228 (last = 0.0000), fitness=0.038192854
432.18 secs, 6080 evals, 5968 steps, improv/step: 0.228 (last = 0.2500), fitness=0.038192854
432.74 secs, 6088 evals, 5976 steps, improv/step: 0.227 (last = 0.1250), fitness=0.038192854
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436.01 secs, 6132 evals, 6020 steps, improv/step: 0.226 (last = 0.0000), fitness=0.038192854
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437.13 secs, 6148 evals, 6036 steps, improv/step: 0.226 (last = 0.3750), fitness=0.038192854
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439.37 secs, 6180 evals, 6069 steps, improv/step: 0.226 (last = 0.1250), fitness=0.038192854
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441.06 secs, 6204 evals, 6093 steps, improv/step: 0.225 (last = 0.1250), fitness=0.038192854
441.64 secs, 6212 evals, 6101 steps, improv/step: 0.225 (last = 0.0000), fitness=0.038192854
442.20 secs, 6220 evals, 6109 steps, improv/step: 0.225 (last = 0.2500), fitness=0.038192854
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443.27 secs, 6235 evals, 6124 steps, improv/step: 0.225 (last = 0.1429), fitness=0.038192854
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444.34 secs, 6250 evals, 6139 steps, improv/step: 0.224 (last = 0.0000), fitness=0.038192854
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446.03 secs, 6274 evals, 6164 steps, improv/step: 0.224 (last = 0.1250), fitness=0.038192854
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447.12 secs, 6289 evals, 6179 steps, improv/step: 0.223 (last = 0.0000), fitness=0.038192854
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449.34 secs, 6319 evals, 6209 steps, improv/step: 0.222 (last = 0.0000), fitness=0.038192854
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450.42 secs, 6333 evals, 6223 steps, improv/step: 0.222 (last = 0.0000), fitness=0.038192854
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453.04 secs, 6368 evals, 6258 steps, improv/step: 0.221 (last = 0.0000), fitness=0.038192854
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454.65 secs, 6390 evals, 6280 steps, improv/step: 0.221 (last = 0.1250), fitness=0.038192854
455.22 secs, 6398 evals, 6288 steps, improv/step: 0.220 (last = 0.1250), fitness=0.038192854
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456.33 secs, 6414 evals, 6304 steps, improv/step: 0.220 (last = 0.1250), fitness=0.038192854
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458.01 secs, 6438 evals, 6328 steps, improv/step: 0.219 (last = 0.0000), fitness=0.038192854
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459.14 secs, 6454 evals, 6344 steps, improv/step: 0.219 (last = 0.1250), fitness=0.038192854
459.71 secs, 6462 evals, 6352 steps, improv/step: 0.219 (last = 0.1250), fitness=0.038192854
460.23 secs, 6469 evals, 6360 steps, improv/step: 0.218 (last = 0.0000), fitness=0.038192854
460.74 secs, 6476 evals, 6367 steps, improv/step: 0.218 (last = 0.0000), fitness=0.038192854
461.31 secs, 6484 evals, 6375 steps, improv/step: 0.218 (last = 0.0000), fitness=0.038192854
461.87 secs, 6492 evals, 6383 steps, improv/step: 0.218 (last = 0.1250), fitness=0.038192854
462.43 secs, 6500 evals, 6391 steps, improv/step: 0.218 (last = 0.1250), fitness=0.038192854
462.99 secs, 6508 evals, 6399 steps, improv/step: 0.217 (last = 0.0000), fitness=0.038192854
463.55 secs, 6516 evals, 6407 steps, improv/step: 0.217 (last = 0.1250), fitness=0.038192854
464.07 secs, 6523 evals, 6414 steps, improv/step: 0.217 (last = 0.0000), fitness=0.038192854
464.57 secs, 6530 evals, 6421 steps, improv/step: 0.217 (last = 0.0000), fitness=0.038192854
465.14 secs, 6537 evals, 6429 steps, improv/step: 0.217 (last = 0.0000), fitness=0.038192854
465.71 secs, 6545 evals, 6437 steps, improv/step: 0.216 (last = 0.0000), fitness=0.038192854
466.27 secs, 6553 evals, 6445 steps, improv/step: 0.216 (last = 0.1250), fitness=0.038192854
466.83 secs, 6561 evals, 6453 steps, improv/step: 0.216 (last = 0.0000), fitness=0.038192854
467.40 secs, 6569 evals, 6461 steps, improv/step: 0.216 (last = 0.1250), fitness=0.038192854
467.90 secs, 6576 evals, 6468 steps, improv/step: 0.216 (last = 0.0000), fitness=0.038192854
468.46 secs, 6584 evals, 6476 steps, improv/step: 0.215 (last = 0.1250), fitness=0.038192854
469.04 secs, 6592 evals, 6484 steps, improv/step: 0.215 (last = 0.0000), fitness=0.038192854
469.55 secs, 6599 evals, 6491 steps, improv/step: 0.215 (last = 0.1429), fitness=0.038192854
470.11 secs, 6607 evals, 6499 steps, improv/step: 0.215 (last = 0.1250), fitness=0.038192854
470.67 secs, 6615 evals, 6507 steps, improv/step: 0.215 (last = 0.2500), fitness=0.038192854
471.20 secs, 6622 evals, 6514 steps, improv/step: 0.215 (last = 0.0000), fitness=0.038192854
471.70 secs, 6629 evals, 6521 steps, improv/step: 0.215 (last = 0.0000), fitness=0.038192854
472.26 secs, 6637 evals, 6529 steps, improv/step: 0.214 (last = 0.1250), fitness=0.038192854
472.83 secs, 6645 evals, 6537 steps, improv/step: 0.214 (last = 0.0000), fitness=0.038192854
473.33 secs, 6652 evals, 6544 steps, improv/step: 0.214 (last = 0.0000), fitness=0.038192854
473.90 secs, 6660 evals, 6552 steps, improv/step: 0.214 (last = 0.0000), fitness=0.038192854
474.40 secs, 6667 evals, 6559 steps, improv/step: 0.213 (last = 0.0000), fitness=0.038192854
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475.47 secs, 6682 evals, 6575 steps, improv/step: 0.213 (last = 0.1250), fitness=0.038192854
476.04 secs, 6690 evals, 6583 steps, improv/step: 0.213 (last = 0.0000), fitness=0.038192854
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477.07 secs, 6704 evals, 6598 steps, improv/step: 0.213 (last = 0.1429), fitness=0.038192854
477.58 secs, 6711 evals, 6605 steps, improv/step: 0.212 (last = 0.0000), fitness=0.038192854
478.08 secs, 6718 evals, 6613 steps, improv/step: 0.212 (last = 0.0000), fitness=0.038192854
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480.29 secs, 6749 evals, 6644 steps, improv/step: 0.212 (last = 0.0000), fitness=0.038192854
480.86 secs, 6757 evals, 6653 steps, improv/step: 0.211 (last = 0.0000), fitness=0.038192854
481.36 secs, 6764 evals, 6660 steps, improv/step: 0.211 (last = 0.2857), fitness=0.038192854
481.93 secs, 6772 evals, 6668 steps, improv/step: 0.211 (last = 0.0000), fitness=0.038192854
482.43 secs, 6779 evals, 6676 steps, improv/step: 0.211 (last = 0.0000), fitness=0.038192854
482.93 secs, 6786 evals, 6684 steps, improv/step: 0.211 (last = 0.0000), fitness=0.038192854
483.50 secs, 6794 evals, 6693 steps, improv/step: 0.210 (last = 0.0000), fitness=0.038192854
484.07 secs, 6802 evals, 6701 steps, improv/step: 0.210 (last = 0.2500), fitness=0.038192854
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485.14 secs, 6817 evals, 6716 steps, improv/step: 0.210 (last = 0.1250), fitness=0.038192854
485.70 secs, 6825 evals, 6724 steps, improv/step: 0.210 (last = 0.2500), fitness=0.038192854
486.21 secs, 6832 evals, 6731 steps, improv/step: 0.210 (last = 0.0000), fitness=0.038192854
486.77 secs, 6840 evals, 6740 steps, improv/step: 0.210 (last = 0.0000), fitness=0.038192854
487.34 secs, 6848 evals, 6750 steps, improv/step: 0.210 (last = 0.1000), fitness=0.038192854
487.85 secs, 6855 evals, 6761 steps, improv/step: 0.209 (last = 0.0000), fitness=0.038192854
488.35 secs, 6862 evals, 6770 steps, improv/step: 0.209 (last = 0.0000), fitness=0.038192854
488.92 secs, 6870 evals, 6778 steps, improv/step: 0.209 (last = 0.1250), fitness=0.038192854
489.42 secs, 6877 evals, 6786 steps, improv/step: 0.209 (last = 0.1250), fitness=0.038192854
489.99 secs, 6885 evals, 6796 steps, improv/step: 0.209 (last = 0.0000), fitness=0.038192854
490.56 secs, 6893 evals, 6804 steps, improv/step: 0.208 (last = 0.0000), fitness=0.038192854
491.06 secs, 6900 evals, 6811 steps, improv/step: 0.208 (last = 0.0000), fitness=0.038192854
491.62 secs, 6908 evals, 6819 steps, improv/step: 0.208 (last = 0.0000), fitness=0.038192854
492.19 secs, 6916 evals, 6829 steps, improv/step: 0.207 (last = 0.0000), fitness=0.038192854
492.69 secs, 6923 evals, 6836 steps, improv/step: 0.207 (last = 0.1429), fitness=0.038192854
493.26 secs, 6931 evals, 6844 steps, improv/step: 0.207 (last = 0.1250), fitness=0.038192854
493.76 secs, 6938 evals, 6851 steps, improv/step: 0.207 (last = 0.0000), fitness=0.038192854
494.28 secs, 6944 evals, 6857 steps, improv/step: 0.207 (last = 0.0000), fitness=0.038192854
494.84 secs, 6951 evals, 6864 steps, improv/step: 0.207 (last = 0.0000), fitness=0.038192854
495.36 secs, 6958 evals, 6871 steps, improv/step: 0.207 (last = 0.1429), fitness=0.038192854
495.93 secs, 6966 evals, 6880 steps, improv/step: 0.207 (last = 0.1111), fitness=0.038192854
496.49 secs, 6974 evals, 6889 steps, improv/step: 0.206 (last = 0.0000), fitness=0.038192854
497.05 secs, 6982 evals, 6900 steps, improv/step: 0.206 (last = 0.0000), fitness=0.038192854
497.62 secs, 6990 evals, 6910 steps, improv/step: 0.206 (last = 0.2000), fitness=0.038192854
498.18 secs, 6998 evals, 6919 steps, improv/step: 0.206 (last = 0.0000), fitness=0.038192854
498.75 secs, 7006 evals, 6931 steps, improv/step: 0.205 (last = 0.0000), fitness=0.038192854
499.31 secs, 7014 evals, 6942 steps, improv/step: 0.205 (last = 0.0000), fitness=0.038192854
499.88 secs, 7022 evals, 6950 steps, improv/step: 0.205 (last = 0.1250), fitness=0.038192854
500.43 secs, 7030 evals, 6960 steps, improv/step: 0.205 (last = 0.0000), fitness=0.038192854
501.01 secs, 7038 evals, 6970 steps, improv/step: 0.205 (last = 0.2000), fitness=0.038192854
501.54 secs, 7044 evals, 6977 steps, improv/step: 0.205 (last = 0.1429), fitness=0.038192854
502.08 secs, 7051 evals, 6986 steps, improv/step: 0.204 (last = 0.0000), fitness=0.038192854
502.65 secs, 7059 evals, 6995 steps, improv/step: 0.204 (last = 0.1111), fitness=0.038192854
503.16 secs, 7066 evals, 7004 steps, improv/step: 0.204 (last = 0.2222), fitness=0.038192854
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504.27 secs, 7081 evals, 7021 steps, improv/step: 0.204 (last = 0.0000), fitness=0.038192854
504.84 secs, 7089 evals, 7031 steps, improv/step: 0.204 (last = 0.1000), fitness=0.038192854
505.40 secs, 7097 evals, 7041 steps, improv/step: 0.204 (last = 0.1000), fitness=0.038192854
505.96 secs, 7105 evals, 7052 steps, improv/step: 0.203 (last = 0.0000), fitness=0.038192854
506.52 secs, 7113 evals, 7060 steps, improv/step: 0.203 (last = 0.2500), fitness=0.038192854
507.07 secs, 7121 evals, 7072 steps, improv/step: 0.203 (last = 0.1667), fitness=0.038192854
507.63 secs, 7129 evals, 7084 steps, improv/step: 0.203 (last = 0.2500), fitness=0.038192854
508.20 secs, 7137 evals, 7094 steps, improv/step: 0.203 (last = 0.1000), fitness=0.038192854
508.76 secs, 7145 evals, 7106 steps, improv/step: 0.203 (last = 0.0000), fitness=0.038192854
509.33 secs, 7153 evals, 7120 steps, improv/step: 0.203 (last = 0.0000), fitness=0.038192854
509.89 secs, 7161 evals, 7131 steps, improv/step: 0.202 (last = 0.0000), fitness=0.038192854
510.46 secs, 7169 evals, 7145 steps, improv/step: 0.202 (last = 0.0714), fitness=0.038192854
511.03 secs, 7177 evals, 7155 steps, improv/step: 0.202 (last = 0.1000), fitness=0.038192854
511.59 secs, 7185 evals, 7166 steps, improv/step: 0.202 (last = 0.0909), fitness=0.038192854
512.15 secs, 7193 evals, 7178 steps, improv/step: 0.201 (last = 0.0000), fitness=0.038192854
512.66 secs, 7200 evals, 7189 steps, improv/step: 0.201 (last = 0.0000), fitness=0.038192854
513.20 secs, 7207 evals, 7198 steps, improv/step: 0.201 (last = 0.0000), fitness=0.038192854
513.77 secs, 7215 evals, 7207 steps, improv/step: 0.201 (last = 0.2222), fitness=0.038192854
514.32 secs, 7222 evals, 7218 steps, improv/step: 0.201 (last = 0.0909), fitness=0.038192854
514.89 secs, 7230 evals, 7229 steps, improv/step: 0.200 (last = 0.0909), fitness=0.038192854
515.41 secs, 7237 evals, 7243 steps, improv/step: 0.200 (last = 0.0714), fitness=0.038192854
515.96 secs, 7245 evals, 7255 steps, improv/step: 0.200 (last = 0.0833), fitness=0.038192854
516.47 secs, 7252 evals, 7270 steps, improv/step: 0.200 (last = 0.0000), fitness=0.038192854
517.02 secs, 7260 evals, 7283 steps, improv/step: 0.199 (last = 0.0000), fitness=0.038192854
517.58 secs, 7268 evals, 7292 steps, improv/step: 0.199 (last = 0.0000), fitness=0.038192854
518.15 secs, 7276 evals, 7302 steps, improv/step: 0.199 (last = 0.1000), fitness=0.038192854
518.71 secs, 7284 evals, 7317 steps, improv/step: 0.199 (last = 0.0667), fitness=0.038192854
519.27 secs, 7292 evals, 7331 steps, improv/step: 0.198 (last = 0.1429), fitness=0.038192854
519.83 secs, 7300 evals, 7342 steps, improv/step: 0.198 (last = 0.1818), fitness=0.038192854
520.33 secs, 7307 evals, 7351 steps, improv/step: 0.198 (last = 0.1111), fitness=0.038192854
520.89 secs, 7315 evals, 7366 steps, improv/step: 0.198 (last = 0.0000), fitness=0.038192854
521.40 secs, 7322 evals, 7378 steps, improv/step: 0.198 (last = 0.1667), fitness=0.038192854
521.95 secs, 7330 evals, 7390 steps, improv/step: 0.198 (last = 0.0833), fitness=0.038192854
522.51 secs, 7338 evals, 7400 steps, improv/step: 0.197 (last = 0.0000), fitness=0.038192854
523.07 secs, 7346 evals, 7412 steps, improv/step: 0.197 (last = 0.0833), fitness=0.038192854
523.63 secs, 7354 evals, 7422 steps, improv/step: 0.197 (last = 0.0000), fitness=0.038192854
524.20 secs, 7362 evals, 7435 steps, improv/step: 0.197 (last = 0.0000), fitness=0.038192854
524.75 secs, 7370 evals, 7446 steps, improv/step: 0.196 (last = 0.0000), fitness=0.038192854
525.31 secs, 7378 evals, 7458 steps, improv/step: 0.196 (last = 0.0000), fitness=0.038192854
525.81 secs, 7385 evals, 7468 steps, improv/step: 0.196 (last = 0.3000), fitness=0.038192854
526.37 secs, 7393 evals, 7478 steps, improv/step: 0.196 (last = 0.0000), fitness=0.038192854
526.93 secs, 7401 evals, 7490 steps, improv/step: 0.196 (last = 0.1667), fitness=0.038192854
527.50 secs, 7409 evals, 7500 steps, improv/step: 0.196 (last = 0.0000), fitness=0.038192854
528.06 secs, 7417 evals, 7513 steps, improv/step: 0.195 (last = 0.0769), fitness=0.038192854
528.62 secs, 7425 evals, 7522 steps, improv/step: 0.195 (last = 0.2222), fitness=0.038192854
529.19 secs, 7433 evals, 7531 steps, improv/step: 0.195 (last = 0.1111), fitness=0.038192854
529.75 secs, 7441 evals, 7540 steps, improv/step: 0.195 (last = 0.3333), fitness=0.038192854
530.32 secs, 7449 evals, 7549 steps, improv/step: 0.195 (last = 0.1111), fitness=0.038192854
530.89 secs, 7457 evals, 7558 steps, improv/step: 0.195 (last = 0.1111), fitness=0.038192854
531.45 secs, 7465 evals, 7567 steps, improv/step: 0.195 (last = 0.2222), fitness=0.038192854
532.02 secs, 7473 evals, 7579 steps, improv/step: 0.195 (last = 0.0833), fitness=0.038192854
532.53 secs, 7480 evals, 7588 steps, improv/step: 0.195 (last = 0.0000), fitness=0.038192854
533.09 secs, 7488 evals, 7597 steps, improv/step: 0.195 (last = 0.0000), fitness=0.038192854
533.65 secs, 7496 evals, 7608 steps, improv/step: 0.195 (last = 0.0909), fitness=0.038192854
534.22 secs, 7504 evals, 7616 steps, improv/step: 0.194 (last = 0.0000), fitness=0.038192854
534.79 secs, 7512 evals, 7625 steps, improv/step: 0.194 (last = 0.1111), fitness=0.038192854
535.29 secs, 7519 evals, 7634 steps, improv/step: 0.194 (last = 0.0000), fitness=0.038192854
535.79 secs, 7526 evals, 7642 steps, improv/step: 0.194 (last = 0.0000), fitness=0.038192854
536.36 secs, 7534 evals, 7652 steps, improv/step: 0.194 (last = 0.0000), fitness=0.038192854
536.92 secs, 7542 evals, 7664 steps, improv/step: 0.193 (last = 0.0000), fitness=0.038192854
537.43 secs, 7549 evals, 7671 steps, improv/step: 0.193 (last = 0.0000), fitness=0.038192854
537.99 secs, 7557 evals, 7682 steps, improv/step: 0.193 (last = 0.0909), fitness=0.038192854
538.55 secs, 7565 evals, 7692 steps, improv/step: 0.193 (last = 0.1000), fitness=0.038192854
539.12 secs, 7573 evals, 7703 steps, improv/step: 0.193 (last = 0.3636), fitness=0.038192854
539.67 secs, 7581 evals, 7714 steps, improv/step: 0.193 (last = 0.0000), fitness=0.038192854
540.23 secs, 7589 evals, 7723 steps, improv/step: 0.193 (last = 0.2222), fitness=0.038192854
540.80 secs, 7597 evals, 7734 steps, improv/step: 0.193 (last = 0.0000), fitness=0.038192854
541.36 secs, 7605 evals, 7744 steps, improv/step: 0.192 (last = 0.1000), fitness=0.038192854
541.93 secs, 7613 evals, 7752 steps, improv/step: 0.192 (last = 0.1250), fitness=0.038192854
542.43 secs, 7620 evals, 7760 steps, improv/step: 0.192 (last = 0.1250), fitness=0.038192854
542.99 secs, 7628 evals, 7772 steps, improv/step: 0.192 (last = 0.0000), fitness=0.038192854
543.56 secs, 7636 evals, 7781 steps, improv/step: 0.192 (last = 0.2222), fitness=0.038192854
544.06 secs, 7643 evals, 7791 steps, improv/step: 0.192 (last = 0.1000), fitness=0.038192854
544.56 secs, 7650 evals, 7801 steps, improv/step: 0.192 (last = 0.1000), fitness=0.038192854
545.12 secs, 7658 evals, 7812 steps, improv/step: 0.192 (last = 0.0909), fitness=0.038192854
545.63 secs, 7665 evals, 7821 steps, improv/step: 0.192 (last = 0.1111), fitness=0.038192854
546.19 secs, 7673 evals, 7833 steps, improv/step: 0.191 (last = 0.1667), fitness=0.038192854
546.75 secs, 7681 evals, 7847 steps, improv/step: 0.191 (last = 0.0000), fitness=0.038192854
547.32 secs, 7689 evals, 7861 steps, improv/step: 0.191 (last = 0.1429), fitness=0.038192854
547.88 secs, 7697 evals, 7877 steps, improv/step: 0.191 (last = 0.0625), fitness=0.038192854
548.45 secs, 7705 evals, 7894 steps, improv/step: 0.191 (last = 0.0588), fitness=0.038192854
549.01 secs, 7713 evals, 7910 steps, improv/step: 0.190 (last = 0.0625), fitness=0.038192854
549.57 secs, 7721 evals, 7928 steps, improv/step: 0.190 (last = 0.1111), fitness=0.038192854
550.13 secs, 7729 evals, 7944 steps, improv/step: 0.190 (last = 0.0625), fitness=0.038192854
550.69 secs, 7737 evals, 7968 steps, improv/step: 0.189 (last = 0.0417), fitness=0.038192854
551.25 secs, 7745 evals, 7991 steps, improv/step: 0.189 (last = 0.0435), fitness=0.038192854
551.82 secs, 7753 evals, 8014 steps, improv/step: 0.188 (last = 0.0000), fitness=0.038192854
552.38 secs, 7761 evals, 8032 steps, improv/step: 0.188 (last = 0.1111), fitness=0.038192854
552.94 secs, 7769 evals, 8049 steps, improv/step: 0.188 (last = 0.1176), fitness=0.038192854
553.50 secs, 7777 evals, 8085 steps, improv/step: 0.187 (last = 0.0000), fitness=0.038192854
554.06 secs, 7785 evals, 8122 steps, improv/step: 0.187 (last = 0.0541), fitness=0.038192854
554.62 secs, 7793 evals, 8169 steps, improv/step: 0.186 (last = 0.0000), fitness=0.038192854
555.19 secs, 7801 evals, 8214 steps, improv/step: 0.185 (last = 0.0444), fitness=0.038192854
555.74 secs, 7809 evals, 8274 steps, improv/step: 0.184 (last = 0.0167), fitness=0.038192854

Optimization stopped after 8380 steps and 555.88 seconds
Termination reason: Too many steps (101) without any function evaluations (probably search has converged)
Steps per second = 15.08
Function evals per second = 14.05
Improvements/step = 0.13818
Total function evaluations = 7811


Best candidate found: [1.50005]

Fitness: 0.038192854

┌ 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
0.63 secs, 8 evals, 4 steps, improv/step: 0.500 (last = 0.5000), fitness=1315.377159398
1.14 secs, 15 evals, 8 steps, improv/step: 0.625 (last = 0.7500), fitness=59.560544915
1.65 secs, 22 evals, 12 steps, improv/step: 0.583 (last = 0.5000), fitness=59.560544915
2.24 secs, 30 evals, 16 steps, improv/step: 0.500 (last = 0.2500), fitness=59.560544915
2.77 secs, 37 evals, 20 steps, improv/step: 0.550 (last = 0.7500), fitness=59.560544915
3.34 secs, 45 evals, 25 steps, improv/step: 0.560 (last = 0.6000), fitness=59.560544915
3.84 secs, 52 evals, 29 steps, improv/step: 0.586 (last = 0.7500), fitness=59.560544915
4.46 secs, 60 evals, 34 steps, improv/step: 0.559 (last = 0.4000), fitness=59.560544915
5.10 secs, 69 evals, 40 steps, improv/step: 0.525 (last = 0.3333), fitness=59.560544915
5.73 secs, 78 evals, 45 steps, improv/step: 0.556 (last = 0.8000), fitness=59.560544915
6.30 secs, 86 evals, 49 steps, improv/step: 0.531 (last = 0.2500), fitness=59.560544915
6.87 secs, 94 evals, 54 steps, improv/step: 0.519 (last = 0.4000), fitness=59.560544915
7.49 secs, 103 evals, 59 steps, improv/step: 0.475 (last = 0.0000), fitness=43.441544163
8.05 secs, 111 evals, 65 steps, improv/step: 0.477 (last = 0.5000), fitness=43.441544163
8.67 secs, 120 evals, 71 steps, improv/step: 0.479 (last = 0.5000), fitness=43.441544163
9.24 secs, 128 evals, 77 steps, improv/step: 0.455 (last = 0.1667), fitness=43.441544163
9.80 secs, 136 evals, 84 steps, improv/step: 0.429 (last = 0.1429), fitness=43.441544163
10.36 secs, 144 evals, 89 steps, improv/step: 0.416 (last = 0.2000), fitness=43.441544163
10.92 secs, 152 evals, 94 steps, improv/step: 0.404 (last = 0.2000), fitness=43.441544163
11.48 secs, 160 evals, 100 steps, improv/step: 0.410 (last = 0.5000), fitness=43.441544163
12.03 secs, 168 evals, 106 steps, improv/step: 0.406 (last = 0.3333), fitness=43.441544163
12.59 secs, 176 evals, 112 steps, improv/step: 0.420 (last = 0.6667), fitness=43.441544163
13.16 secs, 184 evals, 118 steps, improv/step: 0.424 (last = 0.5000), fitness=39.270894416
13.72 secs, 192 evals, 124 steps, improv/step: 0.419 (last = 0.3333), fitness=35.700325686
14.28 secs, 200 evals, 130 steps, improv/step: 0.423 (last = 0.5000), fitness=35.700325686
14.84 secs, 208 evals, 136 steps, improv/step: 0.412 (last = 0.1667), fitness=35.700325686
15.40 secs, 216 evals, 141 steps, improv/step: 0.426 (last = 0.8000), fitness=35.700325686
15.98 secs, 224 evals, 148 steps, improv/step: 0.426 (last = 0.4286), fitness=35.700325686
16.54 secs, 232 evals, 153 steps, improv/step: 0.418 (last = 0.2000), fitness=35.700325686
17.18 secs, 241 evals, 160 steps, improv/step: 0.412 (last = 0.2857), fitness=31.599959940
17.76 secs, 249 evals, 166 steps, improv/step: 0.422 (last = 0.6667), fitness=31.599959940
18.33 secs, 257 evals, 173 steps, improv/step: 0.416 (last = 0.2857), fitness=31.599959940
18.83 secs, 264 evals, 178 steps, improv/step: 0.410 (last = 0.2000), fitness=31.599959940
19.47 secs, 273 evals, 183 steps, improv/step: 0.410 (last = 0.4000), fitness=31.599959940
20.10 secs, 282 evals, 191 steps, improv/step: 0.398 (last = 0.1250), fitness=18.523280396
20.66 secs, 290 evals, 196 steps, improv/step: 0.398 (last = 0.4000), fitness=18.523280396
21.22 secs, 298 evals, 203 steps, improv/step: 0.384 (last = 0.0000), fitness=18.523280396
21.78 secs, 306 evals, 211 steps, improv/step: 0.379 (last = 0.2500), fitness=18.523280396
22.34 secs, 314 evals, 218 steps, improv/step: 0.376 (last = 0.2857), fitness=18.523280396
22.92 secs, 322 evals, 225 steps, improv/step: 0.373 (last = 0.2857), fitness=18.523280396
23.47 secs, 330 evals, 232 steps, improv/step: 0.375 (last = 0.4286), fitness=18.523280396
24.03 secs, 338 evals, 238 steps, improv/step: 0.374 (last = 0.3333), fitness=18.523280396
24.59 secs, 346 evals, 245 steps, improv/step: 0.367 (last = 0.1429), fitness=18.523280396
25.10 secs, 353 evals, 252 steps, improv/step: 0.365 (last = 0.2857), fitness=18.523280396
25.65 secs, 361 evals, 260 steps, improv/step: 0.358 (last = 0.1250), fitness=18.523280396
26.22 secs, 369 evals, 265 steps, improv/step: 0.362 (last = 0.6000), fitness=18.523280396
26.87 secs, 378 evals, 272 steps, improv/step: 0.364 (last = 0.4286), fitness=18.523280396
27.42 secs, 386 evals, 280 steps, improv/step: 0.364 (last = 0.3750), fitness=18.523280396
27.98 secs, 394 evals, 288 steps, improv/step: 0.365 (last = 0.3750), fitness=18.523280396
28.54 secs, 402 evals, 296 steps, improv/step: 0.365 (last = 0.3750), fitness=18.523280396
29.11 secs, 410 evals, 303 steps, improv/step: 0.360 (last = 0.1429), fitness=18.523280396
29.65 secs, 418 evals, 309 steps, improv/step: 0.362 (last = 0.5000), fitness=18.523280396
30.22 secs, 426 evals, 317 steps, improv/step: 0.366 (last = 0.5000), fitness=18.523280396
30.78 secs, 434 evals, 325 steps, improv/step: 0.363 (last = 0.2500), fitness=5.145719501
31.34 secs, 442 evals, 333 steps, improv/step: 0.360 (last = 0.2500), fitness=5.145719501
31.89 secs, 450 evals, 341 steps, improv/step: 0.355 (last = 0.1250), fitness=5.145719501
32.44 secs, 458 evals, 348 steps, improv/step: 0.353 (last = 0.2857), fitness=5.145719501
32.99 secs, 466 evals, 355 steps, improv/step: 0.352 (last = 0.2857), fitness=5.145719501
33.54 secs, 474 evals, 360 steps, improv/step: 0.350 (last = 0.2000), fitness=5.145719501
34.11 secs, 482 evals, 368 steps, improv/step: 0.351 (last = 0.3750), fitness=5.145719501
34.67 secs, 490 evals, 376 steps, improv/step: 0.346 (last = 0.1250), fitness=5.145719501
35.22 secs, 498 evals, 384 steps, improv/step: 0.346 (last = 0.3750), fitness=5.145719501
35.85 secs, 507 evals, 391 steps, improv/step: 0.345 (last = 0.2857), fitness=5.145719501
36.40 secs, 515 evals, 398 steps, improv/step: 0.342 (last = 0.1429), fitness=5.145719501
36.96 secs, 523 evals, 405 steps, improv/step: 0.343 (last = 0.4286), fitness=5.145719501
37.52 secs, 531 evals, 412 steps, improv/step: 0.347 (last = 0.5714), fitness=5.145719501
38.08 secs, 539 evals, 420 steps, improv/step: 0.345 (last = 0.2500), fitness=5.145719501
38.64 secs, 547 evals, 427 steps, improv/step: 0.342 (last = 0.1429), fitness=5.145719501
39.20 secs, 555 evals, 435 steps, improv/step: 0.340 (last = 0.2500), fitness=5.145719501
39.75 secs, 563 evals, 442 steps, improv/step: 0.339 (last = 0.2857), fitness=5.145719501
40.31 secs, 571 evals, 450 steps, improv/step: 0.336 (last = 0.1250), fitness=5.145719501
40.82 secs, 578 evals, 457 steps, improv/step: 0.335 (last = 0.2857), fitness=5.145719501
41.32 secs, 585 evals, 464 steps, improv/step: 0.336 (last = 0.4286), fitness=5.145719501
41.82 secs, 592 evals, 471 steps, improv/step: 0.335 (last = 0.2857), fitness=5.145719501
42.46 secs, 601 evals, 478 steps, improv/step: 0.335 (last = 0.2857), fitness=5.145719501
43.03 secs, 609 evals, 486 steps, improv/step: 0.331 (last = 0.1250), fitness=5.145719501
43.59 secs, 617 evals, 494 steps, improv/step: 0.332 (last = 0.3750), fitness=2.108720971
44.16 secs, 625 evals, 502 steps, improv/step: 0.329 (last = 0.1250), fitness=2.108720971
44.73 secs, 633 evals, 510 steps, improv/step: 0.327 (last = 0.2500), fitness=2.108720971
45.24 secs, 640 evals, 516 steps, improv/step: 0.328 (last = 0.3333), fitness=2.108720971
45.76 secs, 647 evals, 522 steps, improv/step: 0.326 (last = 0.1667), fitness=2.108720971
46.27 secs, 654 evals, 528 steps, improv/step: 0.324 (last = 0.1667), fitness=2.108720971
46.78 secs, 661 evals, 535 steps, improv/step: 0.321 (last = 0.1429), fitness=2.108720971
47.28 secs, 668 evals, 542 steps, improv/step: 0.317 (last = 0.0000), fitness=2.108720971
47.79 secs, 675 evals, 549 steps, improv/step: 0.321 (last = 0.5714), fitness=2.108720971
48.29 secs, 682 evals, 556 steps, improv/step: 0.320 (last = 0.2857), fitness=2.108720971
48.79 secs, 689 evals, 563 steps, improv/step: 0.321 (last = 0.4286), fitness=2.108720971
49.30 secs, 696 evals, 570 steps, improv/step: 0.318 (last = 0.0000), fitness=2.108720971
49.87 secs, 704 evals, 578 steps, improv/step: 0.320 (last = 0.5000), fitness=2.108720971
50.37 secs, 711 evals, 585 steps, improv/step: 0.320 (last = 0.2857), fitness=2.108720971
50.88 secs, 718 evals, 592 steps, improv/step: 0.321 (last = 0.4286), fitness=2.108720971
51.44 secs, 726 evals, 600 steps, improv/step: 0.322 (last = 0.3750), fitness=2.108720971
52.00 secs, 734 evals, 607 steps, improv/step: 0.318 (last = 0.0000), fitness=2.108720971
52.58 secs, 742 evals, 615 steps, improv/step: 0.319 (last = 0.3750), fitness=2.108720971
53.15 secs, 750 evals, 623 steps, improv/step: 0.323 (last = 0.6250), fitness=2.108720971
53.66 secs, 757 evals, 630 steps, improv/step: 0.319 (last = 0.0000), fitness=2.108720971
54.16 secs, 764 evals, 636 steps, improv/step: 0.319 (last = 0.3333), fitness=2.108720971
54.72 secs, 772 evals, 644 steps, improv/step: 0.318 (last = 0.2500), fitness=2.108720971
55.28 secs, 780 evals, 652 steps, improv/step: 0.319 (last = 0.3750), fitness=2.108720971
55.84 secs, 788 evals, 660 steps, improv/step: 0.318 (last = 0.2500), fitness=2.108720971
56.40 secs, 796 evals, 668 steps, improv/step: 0.319 (last = 0.3750), fitness=2.108720971
56.96 secs, 804 evals, 676 steps, improv/step: 0.320 (last = 0.3750), fitness=2.108720971
57.52 secs, 812 evals, 684 steps, improv/step: 0.322 (last = 0.5000), fitness=2.108720971
58.08 secs, 820 evals, 692 steps, improv/step: 0.321 (last = 0.2500), fitness=2.108720971
58.63 secs, 828 evals, 700 steps, improv/step: 0.317 (last = 0.0000), fitness=2.108720971
59.18 secs, 836 evals, 708 steps, improv/step: 0.318 (last = 0.3750), fitness=2.108720971
59.74 secs, 844 evals, 716 steps, improv/step: 0.316 (last = 0.1250), fitness=2.108720971
60.30 secs, 852 evals, 724 steps, improv/step: 0.316 (last = 0.3750), fitness=2.108720971
60.85 secs, 860 evals, 732 steps, improv/step: 0.316 (last = 0.2500), fitness=0.266108069
61.40 secs, 868 evals, 740 steps, improv/step: 0.315 (last = 0.2500), fitness=0.266108069
61.95 secs, 876 evals, 748 steps, improv/step: 0.311 (last = 0.0000), fitness=0.266108069
62.51 secs, 884 evals, 756 steps, improv/step: 0.311 (last = 0.2500), fitness=0.266108069
63.06 secs, 892 evals, 764 steps, improv/step: 0.309 (last = 0.1250), fitness=0.266108069
63.62 secs, 900 evals, 772 steps, improv/step: 0.308 (last = 0.2500), fitness=0.266108069
64.17 secs, 908 evals, 780 steps, improv/step: 0.309 (last = 0.3750), fitness=0.266108069
64.74 secs, 916 evals, 788 steps, improv/step: 0.306 (last = 0.0000), fitness=0.266108069
65.24 secs, 923 evals, 795 steps, improv/step: 0.306 (last = 0.2857), fitness=0.266108069
65.81 secs, 931 evals, 803 steps, improv/step: 0.304 (last = 0.1250), fitness=0.266108069
66.38 secs, 939 evals, 811 steps, improv/step: 0.302 (last = 0.1250), fitness=0.266108069
66.95 secs, 947 evals, 819 steps, improv/step: 0.302 (last = 0.2500), fitness=0.266108069
67.51 secs, 955 evals, 827 steps, improv/step: 0.300 (last = 0.1250), fitness=0.266108069
68.06 secs, 963 evals, 835 steps, improv/step: 0.298 (last = 0.1250), fitness=0.266108069
68.62 secs, 971 evals, 843 steps, improv/step: 0.297 (last = 0.1250), fitness=0.266108069
69.17 secs, 979 evals, 851 steps, improv/step: 0.294 (last = 0.0000), fitness=0.266108069
69.72 secs, 987 evals, 859 steps, improv/step: 0.295 (last = 0.3750), fitness=0.266108069
70.28 secs, 995 evals, 867 steps, improv/step: 0.293 (last = 0.1250), fitness=0.266108069
70.83 secs, 1003 evals, 875 steps, improv/step: 0.291 (last = 0.1250), fitness=0.266108069
71.38 secs, 1011 evals, 883 steps, improv/step: 0.292 (last = 0.3750), fitness=0.266108069
71.95 secs, 1019 evals, 891 steps, improv/step: 0.292 (last = 0.2500), fitness=0.266108069
72.51 secs, 1027 evals, 899 steps, improv/step: 0.290 (last = 0.1250), fitness=0.266108069
73.06 secs, 1035 evals, 907 steps, improv/step: 0.292 (last = 0.5000), fitness=0.266108069
73.62 secs, 1043 evals, 915 steps, improv/step: 0.294 (last = 0.5000), fitness=0.266108069
74.18 secs, 1051 evals, 923 steps, improv/step: 0.293 (last = 0.1250), fitness=0.266108069
74.73 secs, 1059 evals, 931 steps, improv/step: 0.290 (last = 0.0000), fitness=0.266108069
75.29 secs, 1067 evals, 939 steps, improv/step: 0.289 (last = 0.1250), fitness=0.266108069
75.85 secs, 1075 evals, 947 steps, improv/step: 0.287 (last = 0.1250), fitness=0.266108069
76.40 secs, 1083 evals, 955 steps, improv/step: 0.286 (last = 0.1250), fitness=0.266108069
76.96 secs, 1091 evals, 963 steps, improv/step: 0.290 (last = 0.7500), fitness=0.266108069
77.52 secs, 1099 evals, 971 steps, improv/step: 0.290 (last = 0.3750), fitness=0.266108069
78.07 secs, 1107 evals, 979 steps, improv/step: 0.290 (last = 0.2500), fitness=0.266108069
78.64 secs, 1115 evals, 987 steps, improv/step: 0.289 (last = 0.1250), fitness=0.266108069
79.19 secs, 1123 evals, 995 steps, improv/step: 0.289 (last = 0.3750), fitness=0.189982185
79.75 secs, 1131 evals, 1003 steps, improv/step: 0.289 (last = 0.2500), fitness=0.189982185
80.31 secs, 1139 evals, 1011 steps, improv/step: 0.289 (last = 0.2500), fitness=0.189982185
80.87 secs, 1147 evals, 1019 steps, improv/step: 0.289 (last = 0.2500), fitness=0.189982185
81.42 secs, 1155 evals, 1027 steps, improv/step: 0.286 (last = 0.0000), fitness=0.189982185
81.98 secs, 1163 evals, 1035 steps, improv/step: 0.287 (last = 0.3750), fitness=0.189982185
82.53 secs, 1171 evals, 1043 steps, improv/step: 0.285 (last = 0.0000), fitness=0.189982185
83.09 secs, 1179 evals, 1051 steps, improv/step: 0.284 (last = 0.1250), fitness=0.189982185
83.66 secs, 1187 evals, 1059 steps, improv/step: 0.283 (last = 0.2500), fitness=0.189982185
84.23 secs, 1195 evals, 1067 steps, improv/step: 0.283 (last = 0.2500), fitness=0.189982185
84.79 secs, 1203 evals, 1075 steps, improv/step: 0.285 (last = 0.5000), fitness=0.189982185
85.35 secs, 1211 evals, 1083 steps, improv/step: 0.285 (last = 0.3750), fitness=0.189982185
85.91 secs, 1219 evals, 1091 steps, improv/step: 0.284 (last = 0.1250), fitness=0.189982185
86.46 secs, 1227 evals, 1099 steps, improv/step: 0.283 (last = 0.1250), fitness=0.189982185
87.01 secs, 1235 evals, 1107 steps, improv/step: 0.284 (last = 0.3750), fitness=0.189982185
87.56 secs, 1243 evals, 1115 steps, improv/step: 0.283 (last = 0.2500), fitness=0.189982185
88.11 secs, 1251 evals, 1123 steps, improv/step: 0.283 (last = 0.2500), fitness=0.189982185
88.65 secs, 1259 evals, 1131 steps, improv/step: 0.285 (last = 0.5000), fitness=0.189982185
89.20 secs, 1267 evals, 1139 steps, improv/step: 0.286 (last = 0.5000), fitness=0.082770106
89.76 secs, 1275 evals, 1147 steps, improv/step: 0.288 (last = 0.5000), fitness=0.082770106
90.31 secs, 1283 evals, 1155 steps, improv/step: 0.287 (last = 0.1250), fitness=0.082770106
90.86 secs, 1291 evals, 1163 steps, improv/step: 0.285 (last = 0.1250), fitness=0.082770106
91.42 secs, 1299 evals, 1171 steps, improv/step: 0.284 (last = 0.1250), fitness=0.082770106
91.97 secs, 1307 evals, 1179 steps, improv/step: 0.285 (last = 0.3750), fitness=0.082770106
92.52 secs, 1315 evals, 1187 steps, improv/step: 0.287 (last = 0.6250), fitness=0.082770106
93.09 secs, 1323 evals, 1195 steps, improv/step: 0.286 (last = 0.1250), fitness=0.082770106
93.64 secs, 1331 evals, 1203 steps, improv/step: 0.285 (last = 0.1250), fitness=0.082770106
94.20 secs, 1339 evals, 1211 steps, improv/step: 0.286 (last = 0.3750), fitness=0.082770106
94.77 secs, 1347 evals, 1219 steps, improv/step: 0.285 (last = 0.1250), fitness=0.082770106
95.32 secs, 1355 evals, 1228 steps, improv/step: 0.286 (last = 0.4444), fitness=0.082770106
95.87 secs, 1363 evals, 1236 steps, improv/step: 0.285 (last = 0.1250), fitness=0.082770106
96.44 secs, 1371 evals, 1244 steps, improv/step: 0.286 (last = 0.5000), fitness=0.082104173
96.99 secs, 1379 evals, 1252 steps, improv/step: 0.285 (last = 0.1250), fitness=0.082104173
97.54 secs, 1387 evals, 1260 steps, improv/step: 0.286 (last = 0.3750), fitness=0.082104173
98.09 secs, 1395 evals, 1268 steps, improv/step: 0.286 (last = 0.3750), fitness=0.082104173
98.65 secs, 1403 evals, 1276 steps, improv/step: 0.286 (last = 0.2500), fitness=0.082104173
99.22 secs, 1411 evals, 1284 steps, improv/step: 0.288 (last = 0.6250), fitness=0.082104173
99.72 secs, 1418 evals, 1291 steps, improv/step: 0.289 (last = 0.4286), fitness=0.082104173
100.29 secs, 1426 evals, 1299 steps, improv/step: 0.289 (last = 0.2500), fitness=0.082104173
100.86 secs, 1434 evals, 1307 steps, improv/step: 0.288 (last = 0.1250), fitness=0.082104173
101.44 secs, 1441 evals, 1314 steps, improv/step: 0.288 (last = 0.4286), fitness=0.082104173
101.95 secs, 1447 evals, 1320 steps, improv/step: 0.289 (last = 0.3333), fitness=0.082104173
102.47 secs, 1453 evals, 1326 steps, improv/step: 0.287 (last = 0.0000), fitness=0.082104173
103.04 secs, 1460 evals, 1333 steps, improv/step: 0.287 (last = 0.2857), fitness=0.082104173
103.59 secs, 1468 evals, 1341 steps, improv/step: 0.286 (last = 0.0000), fitness=0.082104173
104.14 secs, 1476 evals, 1349 steps, improv/step: 0.284 (last = 0.0000), fitness=0.082104173
104.70 secs, 1484 evals, 1357 steps, improv/step: 0.284 (last = 0.3750), fitness=0.082104173
105.25 secs, 1492 evals, 1365 steps, improv/step: 0.284 (last = 0.1250), fitness=0.082104173
105.80 secs, 1500 evals, 1373 steps, improv/step: 0.283 (last = 0.1250), fitness=0.082104173
106.35 secs, 1508 evals, 1381 steps, improv/step: 0.282 (last = 0.2500), fitness=0.060146813
106.89 secs, 1516 evals, 1389 steps, improv/step: 0.281 (last = 0.1250), fitness=0.060146813
107.43 secs, 1524 evals, 1397 steps, improv/step: 0.282 (last = 0.3750), fitness=0.060146813
107.97 secs, 1532 evals, 1405 steps, improv/step: 0.283 (last = 0.5000), fitness=0.060146813
108.51 secs, 1540 evals, 1413 steps, improv/step: 0.285 (last = 0.5000), fitness=0.060146813
109.04 secs, 1548 evals, 1421 steps, improv/step: 0.285 (last = 0.3750), fitness=0.060146813
109.57 secs, 1556 evals, 1429 steps, improv/step: 0.286 (last = 0.5000), fitness=0.060146813
110.10 secs, 1564 evals, 1437 steps, improv/step: 0.286 (last = 0.2500), fitness=0.060146813
110.63 secs, 1572 evals, 1445 steps, improv/step: 0.286 (last = 0.2500), fitness=0.060146813
111.16 secs, 1580 evals, 1453 steps, improv/step: 0.286 (last = 0.3750), fitness=0.060146813
111.69 secs, 1588 evals, 1461 steps, improv/step: 0.287 (last = 0.3750), fitness=0.060146813
112.21 secs, 1596 evals, 1469 steps, improv/step: 0.287 (last = 0.2500), fitness=0.060146813
112.74 secs, 1604 evals, 1477 steps, improv/step: 0.286 (last = 0.1250), fitness=0.060146813
113.26 secs, 1612 evals, 1485 steps, improv/step: 0.286 (last = 0.3750), fitness=0.060146813
113.78 secs, 1620 evals, 1493 steps, improv/step: 0.287 (last = 0.3750), fitness=0.060146813
114.32 secs, 1628 evals, 1501 steps, improv/step: 0.288 (last = 0.5000), fitness=0.049987307
114.85 secs, 1636 evals, 1509 steps, improv/step: 0.290 (last = 0.6250), fitness=0.049987307
115.40 secs, 1644 evals, 1517 steps, improv/step: 0.291 (last = 0.6250), fitness=0.049987307
115.95 secs, 1652 evals, 1525 steps, improv/step: 0.290 (last = 0.0000), fitness=0.049987307
116.45 secs, 1659 evals, 1532 steps, improv/step: 0.290 (last = 0.4286), fitness=0.046229616
116.96 secs, 1666 evals, 1539 steps, improv/step: 0.291 (last = 0.4286), fitness=0.046229616
117.47 secs, 1673 evals, 1546 steps, improv/step: 0.290 (last = 0.1429), fitness=0.046229616
118.02 secs, 1681 evals, 1554 steps, improv/step: 0.291 (last = 0.3750), fitness=0.046229616
118.58 secs, 1689 evals, 1562 steps, improv/step: 0.291 (last = 0.3750), fitness=0.046229616
119.10 secs, 1696 evals, 1569 steps, improv/step: 0.291 (last = 0.1429), fitness=0.044114392
119.65 secs, 1704 evals, 1577 steps, improv/step: 0.290 (last = 0.1250), fitness=0.044114392
120.20 secs, 1712 evals, 1585 steps, improv/step: 0.290 (last = 0.2500), fitness=0.044114392
120.76 secs, 1720 evals, 1593 steps, improv/step: 0.290 (last = 0.3750), fitness=0.044114392
121.30 secs, 1728 evals, 1601 steps, improv/step: 0.289 (last = 0.1250), fitness=0.044114392
121.83 secs, 1736 evals, 1609 steps, improv/step: 0.288 (last = 0.0000), fitness=0.044114392
122.37 secs, 1744 evals, 1617 steps, improv/step: 0.288 (last = 0.3750), fitness=0.044114392
122.91 secs, 1752 evals, 1625 steps, improv/step: 0.288 (last = 0.2500), fitness=0.044114392
123.45 secs, 1760 evals, 1633 steps, improv/step: 0.288 (last = 0.2500), fitness=0.044114392
124.00 secs, 1768 evals, 1641 steps, improv/step: 0.288 (last = 0.2500), fitness=0.044114392
124.54 secs, 1776 evals, 1649 steps, improv/step: 0.287 (last = 0.1250), fitness=0.044114392
125.09 secs, 1784 evals, 1657 steps, improv/step: 0.286 (last = 0.1250), fitness=0.044114392
125.64 secs, 1792 evals, 1665 steps, improv/step: 0.287 (last = 0.5000), fitness=0.044114392
126.19 secs, 1800 evals, 1673 steps, improv/step: 0.288 (last = 0.3750), fitness=0.044114392
126.75 secs, 1808 evals, 1681 steps, improv/step: 0.288 (last = 0.3750), fitness=0.040650924
127.27 secs, 1815 evals, 1688 steps, improv/step: 0.287 (last = 0.1429), fitness=0.040650924
127.78 secs, 1822 evals, 1695 steps, improv/step: 0.287 (last = 0.1429), fitness=0.040650924
128.35 secs, 1830 evals, 1703 steps, improv/step: 0.288 (last = 0.5000), fitness=0.040650924
128.85 secs, 1837 evals, 1710 steps, improv/step: 0.287 (last = 0.1429), fitness=0.040650924
129.36 secs, 1844 evals, 1717 steps, improv/step: 0.288 (last = 0.5714), fitness=0.040650924
129.92 secs, 1852 evals, 1725 steps, improv/step: 0.288 (last = 0.1250), fitness=0.040650924
130.48 secs, 1860 evals, 1733 steps, improv/step: 0.287 (last = 0.1250), fitness=0.040650924
131.03 secs, 1868 evals, 1741 steps, improv/step: 0.287 (last = 0.2500), fitness=0.040650924
131.59 secs, 1876 evals, 1749 steps, improv/step: 0.287 (last = 0.3750), fitness=0.040650924
132.15 secs, 1884 evals, 1757 steps, improv/step: 0.287 (last = 0.2500), fitness=0.040650924
132.71 secs, 1892 evals, 1765 steps, improv/step: 0.287 (last = 0.2500), fitness=0.040650924
133.27 secs, 1900 evals, 1773 steps, improv/step: 0.288 (last = 0.6250), fitness=0.040650924
133.83 secs, 1908 evals, 1781 steps, improv/step: 0.287 (last = 0.1250), fitness=0.040650924
134.38 secs, 1916 evals, 1789 steps, improv/step: 0.287 (last = 0.2500), fitness=0.040650924
134.94 secs, 1924 evals, 1797 steps, improv/step: 0.289 (last = 0.7500), fitness=0.040650924
135.50 secs, 1932 evals, 1805 steps, improv/step: 0.289 (last = 0.2500), fitness=0.040650924
136.00 secs, 1939 evals, 1812 steps, improv/step: 0.289 (last = 0.2857), fitness=0.038939893
136.57 secs, 1947 evals, 1820 steps, improv/step: 0.288 (last = 0.1250), fitness=0.038939893
137.08 secs, 1954 evals, 1827 steps, improv/step: 0.289 (last = 0.4286), fitness=0.038106480
137.65 secs, 1962 evals, 1835 steps, improv/step: 0.289 (last = 0.2500), fitness=0.038106480
138.21 secs, 1970 evals, 1843 steps, improv/step: 0.289 (last = 0.3750), fitness=0.038106480
138.78 secs, 1978 evals, 1851 steps, improv/step: 0.290 (last = 0.5000), fitness=0.038106480
139.34 secs, 1986 evals, 1859 steps, improv/step: 0.289 (last = 0.1250), fitness=0.038106480
139.84 secs, 1993 evals, 1866 steps, improv/step: 0.289 (last = 0.2857), fitness=0.038106480
140.35 secs, 2000 evals, 1873 steps, improv/step: 0.289 (last = 0.2857), fitness=0.038106480
140.91 secs, 2008 evals, 1881 steps, improv/step: 0.289 (last = 0.1250), fitness=0.038106480
141.41 secs, 2015 evals, 1888 steps, improv/step: 0.289 (last = 0.4286), fitness=0.038106480
141.93 secs, 2022 evals, 1895 steps, improv/step: 0.289 (last = 0.1429), fitness=0.038106480
142.46 secs, 2029 evals, 1902 steps, improv/step: 0.289 (last = 0.2857), fitness=0.038106480
143.03 secs, 2037 evals, 1910 steps, improv/step: 0.289 (last = 0.3750), fitness=0.038106480
143.53 secs, 2044 evals, 1917 steps, improv/step: 0.289 (last = 0.2857), fitness=0.038106480
144.06 secs, 2051 evals, 1924 steps, improv/step: 0.289 (last = 0.2857), fitness=0.038106480
144.62 secs, 2059 evals, 1932 steps, improv/step: 0.288 (last = 0.1250), fitness=0.038106480
145.19 secs, 2067 evals, 1940 steps, improv/step: 0.287 (last = 0.0000), fitness=0.038106480
145.75 secs, 2075 evals, 1948 steps, improv/step: 0.287 (last = 0.2500), fitness=0.038106480
146.32 secs, 2083 evals, 1956 steps, improv/step: 0.286 (last = 0.1250), fitness=0.038106480
146.82 secs, 2090 evals, 1963 steps, improv/step: 0.287 (last = 0.4286), fitness=0.038106480
147.39 secs, 2098 evals, 1971 steps, improv/step: 0.286 (last = 0.1250), fitness=0.038106480
147.96 secs, 2106 evals, 1979 steps, improv/step: 0.287 (last = 0.3750), fitness=0.038106480
148.46 secs, 2113 evals, 1986 steps, improv/step: 0.287 (last = 0.4286), fitness=0.038106480
148.97 secs, 2120 evals, 1993 steps, improv/step: 0.287 (last = 0.1429), fitness=0.038106480
149.53 secs, 2128 evals, 2001 steps, improv/step: 0.287 (last = 0.3750), fitness=0.038106480
150.09 secs, 2136 evals, 2009 steps, improv/step: 0.287 (last = 0.2500), fitness=0.038106480
150.66 secs, 2144 evals, 2017 steps, improv/step: 0.287 (last = 0.2500), fitness=0.038106480
151.22 secs, 2152 evals, 2025 steps, improv/step: 0.286 (last = 0.1250), fitness=0.038106480
151.80 secs, 2160 evals, 2033 steps, improv/step: 0.286 (last = 0.2500), fitness=0.038106480
152.36 secs, 2168 evals, 2041 steps, improv/step: 0.285 (last = 0.1250), fitness=0.038106480
152.93 secs, 2176 evals, 2049 steps, improv/step: 0.285 (last = 0.2500), fitness=0.038106480
153.50 secs, 2184 evals, 2057 steps, improv/step: 0.285 (last = 0.2500), fitness=0.038106480
154.06 secs, 2192 evals, 2065 steps, improv/step: 0.286 (last = 0.5000), fitness=0.038106480
154.63 secs, 2200 evals, 2073 steps, improv/step: 0.285 (last = 0.1250), fitness=0.038106480
155.14 secs, 2207 evals, 2080 steps, improv/step: 0.285 (last = 0.2857), fitness=0.038106480
155.70 secs, 2215 evals, 2088 steps, improv/step: 0.284 (last = 0.0000), fitness=0.038106480
156.27 secs, 2223 evals, 2096 steps, improv/step: 0.284 (last = 0.3750), fitness=0.038106480
156.77 secs, 2230 evals, 2103 steps, improv/step: 0.284 (last = 0.1429), fitness=0.038106480
157.33 secs, 2238 evals, 2111 steps, improv/step: 0.284 (last = 0.2500), fitness=0.038106480
157.90 secs, 2246 evals, 2119 steps, improv/step: 0.284 (last = 0.2500), fitness=0.038106480
158.47 secs, 2254 evals, 2127 steps, improv/step: 0.283 (last = 0.1250), fitness=0.038106480
159.04 secs, 2262 evals, 2135 steps, improv/step: 0.282 (last = 0.1250), fitness=0.038106480
159.60 secs, 2270 evals, 2143 steps, improv/step: 0.282 (last = 0.2500), fitness=0.038106480
160.17 secs, 2278 evals, 2151 steps, improv/step: 0.282 (last = 0.1250), fitness=0.038106480
160.74 secs, 2286 evals, 2159 steps, improv/step: 0.282 (last = 0.2500), fitness=0.038106480
161.30 secs, 2294 evals, 2167 steps, improv/step: 0.281 (last = 0.1250), fitness=0.038106480
161.87 secs, 2302 evals, 2175 steps, improv/step: 0.282 (last = 0.6250), fitness=0.038106480
162.44 secs, 2310 evals, 2183 steps, improv/step: 0.283 (last = 0.3750), fitness=0.038106480
162.99 secs, 2317 evals, 2190 steps, improv/step: 0.283 (last = 0.2857), fitness=0.038106480
163.50 secs, 2324 evals, 2197 steps, improv/step: 0.284 (last = 0.5714), fitness=0.038106480
164.07 secs, 2332 evals, 2205 steps, improv/step: 0.283 (last = 0.0000), fitness=0.038106480
164.57 secs, 2339 evals, 2212 steps, improv/step: 0.284 (last = 0.7143), fitness=0.038106480
165.09 secs, 2345 evals, 2218 steps, improv/step: 0.284 (last = 0.3333), fitness=0.038106480
165.66 secs, 2352 evals, 2225 steps, improv/step: 0.285 (last = 0.7143), fitness=0.038106480
166.23 secs, 2360 evals, 2233 steps, improv/step: 0.285 (last = 0.2500), fitness=0.038106480
166.74 secs, 2367 evals, 2240 steps, improv/step: 0.285 (last = 0.2857), fitness=0.038106480
167.27 secs, 2374 evals, 2247 steps, improv/step: 0.284 (last = 0.0000), fitness=0.038106480
167.81 secs, 2381 evals, 2254 steps, improv/step: 0.284 (last = 0.2857), fitness=0.038106480
168.32 secs, 2387 evals, 2260 steps, improv/step: 0.284 (last = 0.0000), fitness=0.038106480
168.84 secs, 2393 evals, 2266 steps, improv/step: 0.283 (last = 0.0000), fitness=0.038106480
169.40 secs, 2400 evals, 2273 steps, improv/step: 0.283 (last = 0.2857), fitness=0.038106480
169.95 secs, 2406 evals, 2279 steps, improv/step: 0.284 (last = 0.6667), fitness=0.038106480
170.49 secs, 2413 evals, 2286 steps, improv/step: 0.284 (last = 0.2857), fitness=0.038106480
170.99 secs, 2420 evals, 2293 steps, improv/step: 0.284 (last = 0.2857), fitness=0.038106480
171.52 secs, 2427 evals, 2300 steps, improv/step: 0.284 (last = 0.4286), fitness=0.038106480
172.02 secs, 2434 evals, 2307 steps, improv/step: 0.284 (last = 0.1429), fitness=0.038106480
172.53 secs, 2441 evals, 2314 steps, improv/step: 0.283 (last = 0.1429), fitness=0.038106480
173.04 secs, 2448 evals, 2321 steps, improv/step: 0.283 (last = 0.0000), fitness=0.038106480
173.54 secs, 2455 evals, 2328 steps, improv/step: 0.283 (last = 0.2857), fitness=0.038106480
174.05 secs, 2461 evals, 2334 steps, improv/step: 0.282 (last = 0.0000), fitness=0.038106480
174.60 secs, 2467 evals, 2340 steps, improv/step: 0.282 (last = 0.1667), fitness=0.038106480
175.15 secs, 2473 evals, 2346 steps, improv/step: 0.281 (last = 0.0000), fitness=0.038106480
175.71 secs, 2479 evals, 2352 steps, improv/step: 0.281 (last = 0.3333), fitness=0.038106480
176.26 secs, 2485 evals, 2358 steps, improv/step: 0.281 (last = 0.3333), fitness=0.038106480
176.83 secs, 2491 evals, 2364 steps, improv/step: 0.281 (last = 0.3333), fitness=0.038106480
177.38 secs, 2497 evals, 2370 steps, improv/step: 0.281 (last = 0.0000), fitness=0.038106480
177.91 secs, 2503 evals, 2376 steps, improv/step: 0.281 (last = 0.3333), fitness=0.038106480
178.47 secs, 2510 evals, 2383 steps, improv/step: 0.282 (last = 0.7143), fitness=0.038106480
178.98 secs, 2517 evals, 2390 steps, improv/step: 0.281 (last = 0.0000), fitness=0.038106480
179.50 secs, 2524 evals, 2397 steps, improv/step: 0.281 (last = 0.2857), fitness=0.038106480
180.01 secs, 2531 evals, 2404 steps, improv/step: 0.281 (last = 0.1429), fitness=0.038106480
180.52 secs, 2538 evals, 2411 steps, improv/step: 0.280 (last = 0.1429), fitness=0.038106480
181.02 secs, 2545 evals, 2418 steps, improv/step: 0.281 (last = 0.4286), fitness=0.038106480
181.52 secs, 2552 evals, 2425 steps, improv/step: 0.280 (last = 0.1429), fitness=0.038106480
182.03 secs, 2559 evals, 2432 steps, improv/step: 0.281 (last = 0.4286), fitness=0.038106480
182.53 secs, 2566 evals, 2439 steps, improv/step: 0.280 (last = 0.0000), fitness=0.038106480
183.04 secs, 2573 evals, 2446 steps, improv/step: 0.280 (last = 0.2857), fitness=0.038106480
183.54 secs, 2580 evals, 2453 steps, improv/step: 0.280 (last = 0.4286), fitness=0.038106480
184.11 secs, 2588 evals, 2461 steps, improv/step: 0.281 (last = 0.3750), fitness=0.038105680
184.61 secs, 2595 evals, 2468 steps, improv/step: 0.280 (last = 0.1429), fitness=0.038105680
185.11 secs, 2602 evals, 2475 steps, improv/step: 0.280 (last = 0.1429), fitness=0.038105680
185.62 secs, 2609 evals, 2482 steps, improv/step: 0.280 (last = 0.1429), fitness=0.038105680
186.12 secs, 2616 evals, 2489 steps, improv/step: 0.280 (last = 0.2857), fitness=0.038105680
186.63 secs, 2623 evals, 2496 steps, improv/step: 0.280 (last = 0.4286), fitness=0.038105680
187.13 secs, 2630 evals, 2503 steps, improv/step: 0.281 (last = 0.5714), fitness=0.038105680
187.70 secs, 2638 evals, 2511 steps, improv/step: 0.282 (last = 0.7500), fitness=0.038105680
188.26 secs, 2646 evals, 2519 steps, improv/step: 0.283 (last = 0.5000), fitness=0.038105680
188.82 secs, 2654 evals, 2527 steps, improv/step: 0.283 (last = 0.3750), fitness=0.038105680
189.36 secs, 2662 evals, 2535 steps, improv/step: 0.284 (last = 0.3750), fitness=0.038105680
189.91 secs, 2670 evals, 2543 steps, improv/step: 0.284 (last = 0.3750), fitness=0.038105680
190.46 secs, 2678 evals, 2551 steps, improv/step: 0.283 (last = 0.1250), fitness=0.038105680
191.00 secs, 2686 evals, 2559 steps, improv/step: 0.284 (last = 0.5000), fitness=0.038105680
191.54 secs, 2694 evals, 2567 steps, improv/step: 0.284 (last = 0.3750), fitness=0.038105680
192.10 secs, 2702 evals, 2575 steps, improv/step: 0.283 (last = 0.0000), fitness=0.038105680
192.64 secs, 2710 evals, 2583 steps, improv/step: 0.284 (last = 0.5000), fitness=0.038105680
193.20 secs, 2718 evals, 2591 steps, improv/step: 0.286 (last = 0.7500), fitness=0.038105680
193.75 secs, 2726 evals, 2599 steps, improv/step: 0.285 (last = 0.1250), fitness=0.038105680
194.30 secs, 2734 evals, 2607 steps, improv/step: 0.285 (last = 0.1250), fitness=0.038105680
194.85 secs, 2742 evals, 2615 steps, improv/step: 0.285 (last = 0.2500), fitness=0.038105680
195.40 secs, 2750 evals, 2623 steps, improv/step: 0.285 (last = 0.5000), fitness=0.038105680
195.95 secs, 2758 evals, 2631 steps, improv/step: 0.284 (last = 0.0000), fitness=0.038105680
196.50 secs, 2766 evals, 2639 steps, improv/step: 0.283 (last = 0.0000), fitness=0.038105680
197.06 secs, 2774 evals, 2647 steps, improv/step: 0.283 (last = 0.1250), fitness=0.038105680
197.60 secs, 2782 evals, 2655 steps, improv/step: 0.283 (last = 0.2500), fitness=0.038105680
198.15 secs, 2790 evals, 2663 steps, improv/step: 0.283 (last = 0.3750), fitness=0.038105680
198.70 secs, 2798 evals, 2671 steps, improv/step: 0.283 (last = 0.1250), fitness=0.038105680
199.25 secs, 2806 evals, 2679 steps, improv/step: 0.283 (last = 0.3750), fitness=0.038105680
199.81 secs, 2814 evals, 2687 steps, improv/step: 0.282 (last = 0.0000), fitness=0.038105680
200.37 secs, 2822 evals, 2695 steps, improv/step: 0.281 (last = 0.0000), fitness=0.038105680
200.92 secs, 2830 evals, 2703 steps, improv/step: 0.281 (last = 0.1250), fitness=0.038105680
201.48 secs, 2838 evals, 2711 steps, improv/step: 0.280 (last = 0.1250), fitness=0.038105680
202.02 secs, 2846 evals, 2719 steps, improv/step: 0.280 (last = 0.0000), fitness=0.038105680
202.58 secs, 2854 evals, 2727 steps, improv/step: 0.279 (last = 0.1250), fitness=0.038105680
203.14 secs, 2862 evals, 2735 steps, improv/step: 0.279 (last = 0.1250), fitness=0.038105680
203.69 secs, 2870 evals, 2743 steps, improv/step: 0.279 (last = 0.3750), fitness=0.038105680
204.24 secs, 2878 evals, 2751 steps, improv/step: 0.278 (last = 0.1250), fitness=0.038105680
204.81 secs, 2886 evals, 2759 steps, improv/step: 0.278 (last = 0.1250), fitness=0.038105680
205.36 secs, 2894 evals, 2767 steps, improv/step: 0.278 (last = 0.1250), fitness=0.038105680
205.91 secs, 2902 evals, 2775 steps, improv/step: 0.277 (last = 0.2500), fitness=0.038105680
206.46 secs, 2910 evals, 2783 steps, improv/step: 0.277 (last = 0.1250), fitness=0.038105680
207.00 secs, 2918 evals, 2791 steps, improv/step: 0.277 (last = 0.3750), fitness=0.038104939
207.54 secs, 2926 evals, 2799 steps, improv/step: 0.278 (last = 0.3750), fitness=0.038104939
208.09 secs, 2934 evals, 2807 steps, improv/step: 0.278 (last = 0.5000), fitness=0.038104939
208.63 secs, 2942 evals, 2815 steps, improv/step: 0.277 (last = 0.0000), fitness=0.038104939
209.18 secs, 2950 evals, 2823 steps, improv/step: 0.278 (last = 0.5000), fitness=0.038104939
209.73 secs, 2958 evals, 2831 steps, improv/step: 0.278 (last = 0.2500), fitness=0.038104939
210.28 secs, 2966 evals, 2839 steps, improv/step: 0.278 (last = 0.3750), fitness=0.038104939
210.81 secs, 2974 evals, 2847 steps, improv/step: 0.277 (last = 0.0000), fitness=0.038104939
211.37 secs, 2982 evals, 2855 steps, improv/step: 0.277 (last = 0.0000), fitness=0.038104939
211.91 secs, 2990 evals, 2863 steps, improv/step: 0.277 (last = 0.2500), fitness=0.038104939
212.46 secs, 2998 evals, 2871 steps, improv/step: 0.276 (last = 0.1250), fitness=0.038104939
213.01 secs, 3006 evals, 2879 steps, improv/step: 0.276 (last = 0.1250), fitness=0.038104939
213.56 secs, 3014 evals, 2887 steps, improv/step: 0.276 (last = 0.3750), fitness=0.038104925
214.12 secs, 3022 evals, 2895 steps, improv/step: 0.277 (last = 0.5000), fitness=0.038104925
214.67 secs, 3030 evals, 2903 steps, improv/step: 0.276 (last = 0.1250), fitness=0.038104925
215.23 secs, 3038 evals, 2911 steps, improv/step: 0.276 (last = 0.2500), fitness=0.038104925
215.77 secs, 3046 evals, 2919 steps, improv/step: 0.276 (last = 0.2500), fitness=0.038104925
216.32 secs, 3054 evals, 2927 steps, improv/step: 0.277 (last = 0.5000), fitness=0.038104925
216.86 secs, 3062 evals, 2935 steps, improv/step: 0.277 (last = 0.2500), fitness=0.038104925
217.42 secs, 3070 evals, 2943 steps, improv/step: 0.276 (last = 0.1250), fitness=0.038104925
217.97 secs, 3078 evals, 2951 steps, improv/step: 0.277 (last = 0.3750), fitness=0.038104925
218.51 secs, 3086 evals, 2959 steps, improv/step: 0.277 (last = 0.5000), fitness=0.038104925
219.06 secs, 3094 evals, 2967 steps, improv/step: 0.277 (last = 0.2500), fitness=0.038104925
219.61 secs, 3102 evals, 2975 steps, improv/step: 0.277 (last = 0.1250), fitness=0.038104925
220.15 secs, 3110 evals, 2983 steps, improv/step: 0.277 (last = 0.2500), fitness=0.038104925
220.70 secs, 3118 evals, 2991 steps, improv/step: 0.276 (last = 0.2500), fitness=0.038104925
221.24 secs, 3126 evals, 2999 steps, improv/step: 0.276 (last = 0.1250), fitness=0.038104925
221.78 secs, 3134 evals, 3007 steps, improv/step: 0.277 (last = 0.5000), fitness=0.038104899
222.34 secs, 3142 evals, 3015 steps, improv/step: 0.277 (last = 0.3750), fitness=0.038104899
222.88 secs, 3150 evals, 3023 steps, improv/step: 0.277 (last = 0.2500), fitness=0.038104899
223.43 secs, 3158 evals, 3031 steps, improv/step: 0.277 (last = 0.2500), fitness=0.038104820
223.98 secs, 3166 evals, 3039 steps, improv/step: 0.276 (last = 0.1250), fitness=0.038104820
224.53 secs, 3174 evals, 3047 steps, improv/step: 0.277 (last = 0.3750), fitness=0.038104820
225.09 secs, 3182 evals, 3055 steps, improv/step: 0.277 (last = 0.3750), fitness=0.038104820
225.65 secs, 3190 evals, 3063 steps, improv/step: 0.277 (last = 0.2500), fitness=0.038104820
226.20 secs, 3198 evals, 3071 steps, improv/step: 0.277 (last = 0.2500), fitness=0.038104820
226.75 secs, 3206 evals, 3079 steps, improv/step: 0.276 (last = 0.1250), fitness=0.038104820
227.32 secs, 3214 evals, 3087 steps, improv/step: 0.277 (last = 0.5000), fitness=0.038104775
227.87 secs, 3222 evals, 3095 steps, improv/step: 0.277 (last = 0.1250), fitness=0.038104775
228.41 secs, 3230 evals, 3103 steps, improv/step: 0.277 (last = 0.3750), fitness=0.038104775
228.97 secs, 3238 evals, 3111 steps, improv/step: 0.277 (last = 0.3750), fitness=0.038104775
229.52 secs, 3246 evals, 3119 steps, improv/step: 0.277 (last = 0.3750), fitness=0.038104775
230.07 secs, 3254 evals, 3127 steps, improv/step: 0.277 (last = 0.2500), fitness=0.038104775
230.62 secs, 3262 evals, 3135 steps, improv/step: 0.278 (last = 0.3750), fitness=0.038104775
231.16 secs, 3270 evals, 3143 steps, improv/step: 0.278 (last = 0.3750), fitness=0.038104775
231.70 secs, 3278 evals, 3151 steps, improv/step: 0.277 (last = 0.1250), fitness=0.038104775
232.26 secs, 3286 evals, 3159 steps, improv/step: 0.277 (last = 0.2500), fitness=0.038104775
232.80 secs, 3294 evals, 3167 steps, improv/step: 0.278 (last = 0.3750), fitness=0.038104775
233.35 secs, 3302 evals, 3175 steps, improv/step: 0.277 (last = 0.1250), fitness=0.038104775
233.91 secs, 3310 evals, 3183 steps, improv/step: 0.277 (last = 0.1250), fitness=0.038104775
234.47 secs, 3318 evals, 3191 steps, improv/step: 0.277 (last = 0.3750), fitness=0.038104775
235.03 secs, 3326 evals, 3199 steps, improv/step: 0.276 (last = 0.0000), fitness=0.038104775
235.59 secs, 3334 evals, 3207 steps, improv/step: 0.276 (last = 0.1250), fitness=0.038104775
236.15 secs, 3342 evals, 3215 steps, improv/step: 0.276 (last = 0.3750), fitness=0.038104775
236.71 secs, 3350 evals, 3223 steps, improv/step: 0.276 (last = 0.2500), fitness=0.038104775
237.25 secs, 3358 evals, 3231 steps, improv/step: 0.276 (last = 0.1250), fitness=0.038104775
237.81 secs, 3366 evals, 3239 steps, improv/step: 0.276 (last = 0.3750), fitness=0.038104775
238.39 secs, 3374 evals, 3247 steps, improv/step: 0.276 (last = 0.1250), fitness=0.038104775
238.95 secs, 3382 evals, 3255 steps, improv/step: 0.276 (last = 0.5000), fitness=0.038104775
239.51 secs, 3390 evals, 3263 steps, improv/step: 0.277 (last = 0.5000), fitness=0.038104577
240.07 secs, 3398 evals, 3271 steps, improv/step: 0.277 (last = 0.2500), fitness=0.038104577
240.63 secs, 3406 evals, 3279 steps, improv/step: 0.277 (last = 0.5000), fitness=0.038104577
241.18 secs, 3414 evals, 3287 steps, improv/step: 0.277 (last = 0.3750), fitness=0.038104577
241.76 secs, 3422 evals, 3295 steps, improv/step: 0.277 (last = 0.1250), fitness=0.038104577
242.31 secs, 3430 evals, 3303 steps, improv/step: 0.276 (last = 0.0000), fitness=0.038104577
242.86 secs, 3438 evals, 3311 steps, improv/step: 0.276 (last = 0.1250), fitness=0.038104577
243.43 secs, 3446 evals, 3319 steps, improv/step: 0.275 (last = 0.0000), fitness=0.038104577
243.99 secs, 3454 evals, 3327 steps, improv/step: 0.275 (last = 0.1250), fitness=0.038104577
244.56 secs, 3462 evals, 3335 steps, improv/step: 0.275 (last = 0.2500), fitness=0.038104577
245.08 secs, 3469 evals, 3342 steps, improv/step: 0.276 (last = 0.7143), fitness=0.038104577
245.65 secs, 3477 evals, 3350 steps, improv/step: 0.276 (last = 0.3750), fitness=0.038104577
246.21 secs, 3485 evals, 3358 steps, improv/step: 0.277 (last = 0.5000), fitness=0.038104577
246.77 secs, 3493 evals, 3366 steps, improv/step: 0.277 (last = 0.2500), fitness=0.038104577
247.32 secs, 3501 evals, 3374 steps, improv/step: 0.277 (last = 0.2500), fitness=0.038104577
247.87 secs, 3509 evals, 3382 steps, improv/step: 0.276 (last = 0.2500), fitness=0.038104577
248.43 secs, 3517 evals, 3390 steps, improv/step: 0.276 (last = 0.2500), fitness=0.038104577
248.99 secs, 3525 evals, 3398 steps, improv/step: 0.276 (last = 0.0000), fitness=0.038104577
249.55 secs, 3533 evals, 3406 steps, improv/step: 0.277 (last = 0.7500), fitness=0.038104577
250.11 secs, 3541 evals, 3414 steps, improv/step: 0.277 (last = 0.3750), fitness=0.038104577
250.68 secs, 3549 evals, 3422 steps, improv/step: 0.277 (last = 0.2500), fitness=0.038104577
251.19 secs, 3556 evals, 3429 steps, improv/step: 0.278 (last = 0.7143), fitness=0.038104557
251.76 secs, 3564 evals, 3437 steps, improv/step: 0.278 (last = 0.2500), fitness=0.038104557
252.32 secs, 3572 evals, 3445 steps, improv/step: 0.278 (last = 0.1250), fitness=0.038104557
252.88 secs, 3580 evals, 3453 steps, improv/step: 0.278 (last = 0.3750), fitness=0.038104557
253.40 secs, 3587 evals, 3460 steps, improv/step: 0.278 (last = 0.2857), fitness=0.038104557
253.96 secs, 3595 evals, 3468 steps, improv/step: 0.278 (last = 0.2500), fitness=0.038104557
254.51 secs, 3603 evals, 3476 steps, improv/step: 0.277 (last = 0.0000), fitness=0.038104557
255.07 secs, 3611 evals, 3484 steps, improv/step: 0.277 (last = 0.1250), fitness=0.038104557
255.61 secs, 3619 evals, 3492 steps, improv/step: 0.277 (last = 0.2500), fitness=0.038104557
256.16 secs, 3627 evals, 3500 steps, improv/step: 0.276 (last = 0.1250), fitness=0.038104557
256.71 secs, 3635 evals, 3508 steps, improv/step: 0.276 (last = 0.2500), fitness=0.038104557
257.26 secs, 3643 evals, 3516 steps, improv/step: 0.276 (last = 0.2500), fitness=0.038104557
257.81 secs, 3651 evals, 3524 steps, improv/step: 0.276 (last = 0.2500), fitness=0.038104557
258.37 secs, 3659 evals, 3532 steps, improv/step: 0.276 (last = 0.1250), fitness=0.038104557
258.92 secs, 3667 evals, 3540 steps, improv/step: 0.276 (last = 0.2500), fitness=0.038104557
259.47 secs, 3675 evals, 3548 steps, improv/step: 0.276 (last = 0.3750), fitness=0.038104557
260.02 secs, 3683 evals, 3556 steps, improv/step: 0.276 (last = 0.1250), fitness=0.038104557
260.57 secs, 3691 evals, 3565 steps, improv/step: 0.275 (last = 0.2222), fitness=0.038104557
261.12 secs, 3699 evals, 3573 steps, improv/step: 0.275 (last = 0.2500), fitness=0.038104557
261.67 secs, 3707 evals, 3581 steps, improv/step: 0.275 (last = 0.0000), fitness=0.038104557
262.23 secs, 3715 evals, 3589 steps, improv/step: 0.274 (last = 0.1250), fitness=0.038104557
262.77 secs, 3723 evals, 3597 steps, improv/step: 0.275 (last = 0.3750), fitness=0.038104553
263.33 secs, 3731 evals, 3605 steps, improv/step: 0.275 (last = 0.3750), fitness=0.038104553
263.88 secs, 3739 evals, 3613 steps, improv/step: 0.275 (last = 0.2500), fitness=0.038104553
264.43 secs, 3747 evals, 3621 steps, improv/step: 0.275 (last = 0.1250), fitness=0.038104553
264.97 secs, 3755 evals, 3629 steps, improv/step: 0.274 (last = 0.2500), fitness=0.038104553
265.51 secs, 3763 evals, 3637 steps, improv/step: 0.275 (last = 0.3750), fitness=0.038104553
266.05 secs, 3771 evals, 3645 steps, improv/step: 0.274 (last = 0.1250), fitness=0.038104553
266.59 secs, 3779 evals, 3653 steps, improv/step: 0.274 (last = 0.1250), fitness=0.038104553
267.13 secs, 3787 evals, 3661 steps, improv/step: 0.274 (last = 0.3750), fitness=0.038104553
267.68 secs, 3795 evals, 3669 steps, improv/step: 0.274 (last = 0.2500), fitness=0.038104553
268.21 secs, 3803 evals, 3677 steps, improv/step: 0.274 (last = 0.0000), fitness=0.038104553
268.75 secs, 3811 evals, 3685 steps, improv/step: 0.274 (last = 0.3750), fitness=0.038104553
269.28 secs, 3819 evals, 3693 steps, improv/step: 0.274 (last = 0.5000), fitness=0.038104551
269.82 secs, 3827 evals, 3701 steps, improv/step: 0.274 (last = 0.2500), fitness=0.038104551
270.37 secs, 3835 evals, 3709 steps, improv/step: 0.274 (last = 0.2500), fitness=0.038104551
270.93 secs, 3843 evals, 3717 steps, improv/step: 0.274 (last = 0.1250), fitness=0.038104551
271.47 secs, 3851 evals, 3725 steps, improv/step: 0.274 (last = 0.3750), fitness=0.038104551
272.01 secs, 3859 evals, 3733 steps, improv/step: 0.274 (last = 0.3750), fitness=0.038104551
272.56 secs, 3867 evals, 3741 steps, improv/step: 0.274 (last = 0.0000), fitness=0.038104551
273.11 secs, 3875 evals, 3749 steps, improv/step: 0.273 (last = 0.1250), fitness=0.038104551
273.65 secs, 3883 evals, 3757 steps, improv/step: 0.273 (last = 0.1250), fitness=0.038104551
274.20 secs, 3891 evals, 3765 steps, improv/step: 0.273 (last = 0.1250), fitness=0.038104551
274.74 secs, 3899 evals, 3773 steps, improv/step: 0.272 (last = 0.1250), fitness=0.038104551
275.28 secs, 3907 evals, 3781 steps, improv/step: 0.272 (last = 0.1250), fitness=0.038104551
275.82 secs, 3915 evals, 3789 steps, improv/step: 0.272 (last = 0.1250), fitness=0.038104551
276.36 secs, 3923 evals, 3797 steps, improv/step: 0.272 (last = 0.1250), fitness=0.038104551
276.90 secs, 3931 evals, 3805 steps, improv/step: 0.272 (last = 0.6250), fitness=0.038104551
277.44 secs, 3939 evals, 3813 steps, improv/step: 0.272 (last = 0.2500), fitness=0.038104551
277.98 secs, 3947 evals, 3821 steps, improv/step: 0.272 (last = 0.3750), fitness=0.038104551
278.52 secs, 3955 evals, 3829 steps, improv/step: 0.272 (last = 0.2500), fitness=0.038104551
279.06 secs, 3963 evals, 3837 steps, improv/step: 0.273 (last = 0.3750), fitness=0.038104551
279.60 secs, 3971 evals, 3845 steps, improv/step: 0.273 (last = 0.6250), fitness=0.038104551
280.14 secs, 3979 evals, 3853 steps, improv/step: 0.274 (last = 0.3750), fitness=0.038104551
280.69 secs, 3987 evals, 3861 steps, improv/step: 0.273 (last = 0.1250), fitness=0.038104551
281.23 secs, 3995 evals, 3869 steps, improv/step: 0.274 (last = 0.5000), fitness=0.038104551
281.77 secs, 4003 evals, 3877 steps, improv/step: 0.273 (last = 0.1250), fitness=0.038104551
282.31 secs, 4011 evals, 3885 steps, improv/step: 0.274 (last = 0.5000), fitness=0.038104551
282.85 secs, 4019 evals, 3893 steps, improv/step: 0.274 (last = 0.2500), fitness=0.038104551
283.35 secs, 4026 evals, 3900 steps, improv/step: 0.274 (last = 0.1429), fitness=0.038104551
283.90 secs, 4034 evals, 3908 steps, improv/step: 0.273 (last = 0.1250), fitness=0.038104551
284.45 secs, 4042 evals, 3916 steps, improv/step: 0.273 (last = 0.1250), fitness=0.038104551
285.00 secs, 4050 evals, 3924 steps, improv/step: 0.273 (last = 0.2500), fitness=0.038104551
285.55 secs, 4058 evals, 3932 steps, improv/step: 0.273 (last = 0.2500), fitness=0.038104551
286.10 secs, 4066 evals, 3940 steps, improv/step: 0.273 (last = 0.3750), fitness=0.038104551
286.66 secs, 4074 evals, 3949 steps, improv/step: 0.273 (last = 0.1111), fitness=0.038104551
287.21 secs, 4082 evals, 3957 steps, improv/step: 0.273 (last = 0.2500), fitness=0.038104551
287.75 secs, 4090 evals, 3965 steps, improv/step: 0.273 (last = 0.2500), fitness=0.038104551
288.30 secs, 4098 evals, 3973 steps, improv/step: 0.273 (last = 0.2500), fitness=0.038104551
288.84 secs, 4106 evals, 3981 steps, improv/step: 0.272 (last = 0.0000), fitness=0.038104551
289.34 secs, 4113 evals, 3988 steps, improv/step: 0.273 (last = 0.5714), fitness=0.038104551
289.89 secs, 4121 evals, 3996 steps, improv/step: 0.272 (last = 0.1250), fitness=0.038104551
290.44 secs, 4129 evals, 4004 steps, improv/step: 0.272 (last = 0.2500), fitness=0.038104551
291.00 secs, 4137 evals, 4012 steps, improv/step: 0.272 (last = 0.3750), fitness=0.038104551
291.56 secs, 4145 evals, 4020 steps, improv/step: 0.272 (last = 0.2500), fitness=0.038104551
292.11 secs, 4153 evals, 4028 steps, improv/step: 0.272 (last = 0.2500), fitness=0.038104551
292.64 secs, 4161 evals, 4036 steps, improv/step: 0.272 (last = 0.2500), fitness=0.038104546
293.17 secs, 4169 evals, 4044 steps, improv/step: 0.272 (last = 0.2500), fitness=0.038104546
293.70 secs, 4177 evals, 4052 steps, improv/step: 0.272 (last = 0.3750), fitness=0.038104546
294.23 secs, 4184 evals, 4059 steps, improv/step: 0.272 (last = 0.1429), fitness=0.038104546
294.78 secs, 4192 evals, 4067 steps, improv/step: 0.272 (last = 0.1250), fitness=0.038104546
295.31 secs, 4200 evals, 4075 steps, improv/step: 0.272 (last = 0.2500), fitness=0.038104546
295.86 secs, 4208 evals, 4083 steps, improv/step: 0.272 (last = 0.3750), fitness=0.038104546
296.39 secs, 4215 evals, 4090 steps, improv/step: 0.272 (last = 0.4286), fitness=0.038104546
296.90 secs, 4222 evals, 4097 steps, improv/step: 0.272 (last = 0.1429), fitness=0.038104546
297.46 secs, 4230 evals, 4105 steps, improv/step: 0.272 (last = 0.2500), fitness=0.038104546
297.98 secs, 4237 evals, 4112 steps, improv/step: 0.273 (last = 0.5714), fitness=0.038104546
298.53 secs, 4244 evals, 4119 steps, improv/step: 0.272 (last = 0.1429), fitness=0.038104546
299.09 secs, 4252 evals, 4127 steps, improv/step: 0.272 (last = 0.2500), fitness=0.038104546
299.64 secs, 4260 evals, 4135 steps, improv/step: 0.272 (last = 0.2500), fitness=0.038104546
300.19 secs, 4268 evals, 4143 steps, improv/step: 0.272 (last = 0.1250), fitness=0.038104546
300.72 secs, 4276 evals, 4151 steps, improv/step: 0.272 (last = 0.2500), fitness=0.038104546
301.27 secs, 4284 evals, 4159 steps, improv/step: 0.272 (last = 0.2500), fitness=0.038104546
301.80 secs, 4292 evals, 4167 steps, improv/step: 0.272 (last = 0.1250), fitness=0.038104546
302.34 secs, 4300 evals, 4175 steps, improv/step: 0.272 (last = 0.2500), fitness=0.038104546
302.89 secs, 4308 evals, 4183 steps, improv/step: 0.272 (last = 0.2500), fitness=0.038104546
303.39 secs, 4315 evals, 4190 steps, improv/step: 0.272 (last = 0.4286), fitness=0.038104546
303.94 secs, 4323 evals, 4198 steps, improv/step: 0.272 (last = 0.3750), fitness=0.038104546
304.49 secs, 4331 evals, 4206 steps, improv/step: 0.272 (last = 0.2500), fitness=0.038104546
305.03 secs, 4339 evals, 4214 steps, improv/step: 0.272 (last = 0.3750), fitness=0.038104546
305.57 secs, 4347 evals, 4222 steps, improv/step: 0.272 (last = 0.0000), fitness=0.038104546
306.12 secs, 4355 evals, 4230 steps, improv/step: 0.271 (last = 0.1250), fitness=0.038104546
306.66 secs, 4363 evals, 4238 steps, improv/step: 0.272 (last = 0.6250), fitness=0.038104546
307.20 secs, 4371 evals, 4246 steps, improv/step: 0.272 (last = 0.2500), fitness=0.038104546
307.74 secs, 4379 evals, 4254 steps, improv/step: 0.272 (last = 0.0000), fitness=0.038104546
308.28 secs, 4387 evals, 4262 steps, improv/step: 0.271 (last = 0.1250), fitness=0.038104546
308.81 secs, 4395 evals, 4270 steps, improv/step: 0.271 (last = 0.1250), fitness=0.038104546
309.36 secs, 4403 evals, 4278 steps, improv/step: 0.271 (last = 0.1250), fitness=0.038104546
309.89 secs, 4411 evals, 4286 steps, improv/step: 0.271 (last = 0.3750), fitness=0.038104546
310.42 secs, 4419 evals, 4294 steps, improv/step: 0.271 (last = 0.1250), fitness=0.038104546
310.97 secs, 4427 evals, 4302 steps, improv/step: 0.271 (last = 0.2500), fitness=0.038104546
311.50 secs, 4435 evals, 4310 steps, improv/step: 0.270 (last = 0.0000), fitness=0.038104546
312.03 secs, 4443 evals, 4318 steps, improv/step: 0.270 (last = 0.2500), fitness=0.038104546
312.55 secs, 4451 evals, 4326 steps, improv/step: 0.270 (last = 0.2500), fitness=0.038104546
313.08 secs, 4459 evals, 4334 steps, improv/step: 0.270 (last = 0.1250), fitness=0.038104546
313.63 secs, 4467 evals, 4342 steps, improv/step: 0.269 (last = 0.1250), fitness=0.038104546
314.16 secs, 4475 evals, 4350 steps, improv/step: 0.269 (last = 0.1250), fitness=0.038104546
314.69 secs, 4483 evals, 4358 steps, improv/step: 0.269 (last = 0.0000), fitness=0.038104546
315.22 secs, 4491 evals, 4366 steps, improv/step: 0.268 (last = 0.1250), fitness=0.038104546
315.75 secs, 4499 evals, 4374 steps, improv/step: 0.269 (last = 0.3750), fitness=0.038104546
316.28 secs, 4507 evals, 4382 steps, improv/step: 0.268 (last = 0.1250), fitness=0.038104546
316.81 secs, 4515 evals, 4390 steps, improv/step: 0.268 (last = 0.0000), fitness=0.038104546
317.36 secs, 4523 evals, 4398 steps, improv/step: 0.268 (last = 0.1250), fitness=0.038104546
317.88 secs, 4529 evals, 4404 steps, improv/step: 0.267 (last = 0.0000), fitness=0.038104546
318.43 secs, 4537 evals, 4412 steps, improv/step: 0.267 (last = 0.2500), fitness=0.038104546
318.96 secs, 4545 evals, 4420 steps, improv/step: 0.267 (last = 0.2500), fitness=0.038104546
319.50 secs, 4553 evals, 4428 steps, improv/step: 0.267 (last = 0.1250), fitness=0.038104546
320.04 secs, 4561 evals, 4436 steps, improv/step: 0.267 (last = 0.1250), fitness=0.038104546
320.58 secs, 4569 evals, 4444 steps, improv/step: 0.266 (last = 0.1250), fitness=0.038104546
321.12 secs, 4577 evals, 4452 steps, improv/step: 0.266 (last = 0.0000), fitness=0.038104546
321.67 secs, 4585 evals, 4460 steps, improv/step: 0.266 (last = 0.1250), fitness=0.038104546
322.21 secs, 4593 evals, 4468 steps, improv/step: 0.266 (last = 0.3750), fitness=0.038104546
322.75 secs, 4601 evals, 4476 steps, improv/step: 0.266 (last = 0.1250), fitness=0.038104546
323.29 secs, 4609 evals, 4484 steps, improv/step: 0.265 (last = 0.1250), fitness=0.038104546
323.84 secs, 4617 evals, 4492 steps, improv/step: 0.265 (last = 0.1250), fitness=0.038104546
324.38 secs, 4625 evals, 4500 steps, improv/step: 0.265 (last = 0.3750), fitness=0.038104546
324.92 secs, 4633 evals, 4508 steps, improv/step: 0.265 (last = 0.1250), fitness=0.038104546
325.44 secs, 4640 evals, 4515 steps, improv/step: 0.265 (last = 0.2857), fitness=0.038104546
325.99 secs, 4648 evals, 4523 steps, improv/step: 0.265 (last = 0.2500), fitness=0.038104546
326.54 secs, 4656 evals, 4531 steps, improv/step: 0.265 (last = 0.1250), fitness=0.038104544
327.04 secs, 4663 evals, 4538 steps, improv/step: 0.264 (last = 0.0000), fitness=0.038104544
327.61 secs, 4671 evals, 4546 steps, improv/step: 0.264 (last = 0.0000), fitness=0.038104544
328.17 secs, 4679 evals, 4554 steps, improv/step: 0.264 (last = 0.0000), fitness=0.038104544
328.72 secs, 4687 evals, 4562 steps, improv/step: 0.263 (last = 0.0000), fitness=0.038104544
329.26 secs, 4695 evals, 4570 steps, improv/step: 0.263 (last = 0.2500), fitness=0.038104544
329.80 secs, 4703 evals, 4578 steps, improv/step: 0.263 (last = 0.1250), fitness=0.038104544
330.34 secs, 4711 evals, 4586 steps, improv/step: 0.263 (last = 0.1250), fitness=0.038104544
330.88 secs, 4719 evals, 4594 steps, improv/step: 0.262 (last = 0.0000), fitness=0.038104544
331.43 secs, 4727 evals, 4602 steps, improv/step: 0.262 (last = 0.0000), fitness=0.038104544
331.97 secs, 4735 evals, 4610 steps, improv/step: 0.261 (last = 0.0000), fitness=0.038104544
332.50 secs, 4743 evals, 4618 steps, improv/step: 0.261 (last = 0.2500), fitness=0.038104544
333.06 secs, 4751 evals, 4626 steps, improv/step: 0.261 (last = 0.3750), fitness=0.038104543
333.59 secs, 4758 evals, 4633 steps, improv/step: 0.261 (last = 0.0000), fitness=0.038104543
334.13 secs, 4766 evals, 4641 steps, improv/step: 0.261 (last = 0.0000), fitness=0.038104543
334.68 secs, 4774 evals, 4649 steps, improv/step: 0.260 (last = 0.1250), fitness=0.038104543
335.23 secs, 4782 evals, 4657 steps, improv/step: 0.260 (last = 0.3750), fitness=0.038104543
335.79 secs, 4790 evals, 4665 steps, improv/step: 0.260 (last = 0.0000), fitness=0.038104543
336.35 secs, 4798 evals, 4673 steps, improv/step: 0.260 (last = 0.1250), fitness=0.038104543
336.90 secs, 4806 evals, 4681 steps, improv/step: 0.259 (last = 0.0000), fitness=0.038104543
337.45 secs, 4814 evals, 4689 steps, improv/step: 0.259 (last = 0.0000), fitness=0.038104543
338.01 secs, 4822 evals, 4697 steps, improv/step: 0.258 (last = 0.0000), fitness=0.038104543
338.56 secs, 4830 evals, 4705 steps, improv/step: 0.259 (last = 0.3750), fitness=0.038104543
339.10 secs, 4838 evals, 4713 steps, improv/step: 0.258 (last = 0.0000), fitness=0.038104543
339.66 secs, 4846 evals, 4721 steps, improv/step: 0.258 (last = 0.1250), fitness=0.038104543
340.21 secs, 4854 evals, 4729 steps, improv/step: 0.258 (last = 0.1250), fitness=0.038104543
340.76 secs, 4862 evals, 4737 steps, improv/step: 0.258 (last = 0.1250), fitness=0.038104543
341.32 secs, 4870 evals, 4745 steps, improv/step: 0.257 (last = 0.0000), fitness=0.038104543
341.87 secs, 4878 evals, 4753 steps, improv/step: 0.257 (last = 0.0000), fitness=0.038104543
342.42 secs, 4886 evals, 4761 steps, improv/step: 0.256 (last = 0.1250), fitness=0.038104543
342.98 secs, 4894 evals, 4769 steps, improv/step: 0.256 (last = 0.2500), fitness=0.038104543
343.53 secs, 4902 evals, 4777 steps, improv/step: 0.256 (last = 0.0000), fitness=0.038104543
344.08 secs, 4910 evals, 4785 steps, improv/step: 0.256 (last = 0.3750), fitness=0.038104543
344.59 secs, 4917 evals, 4792 steps, improv/step: 0.256 (last = 0.0000), fitness=0.038104543
345.14 secs, 4925 evals, 4800 steps, improv/step: 0.256 (last = 0.1250), fitness=0.038104543
345.69 secs, 4933 evals, 4808 steps, improv/step: 0.255 (last = 0.1250), fitness=0.038104543
346.25 secs, 4941 evals, 4816 steps, improv/step: 0.255 (last = 0.2500), fitness=0.038104543
346.80 secs, 4949 evals, 4824 steps, improv/step: 0.255 (last = 0.2500), fitness=0.038104542
347.34 secs, 4957 evals, 4832 steps, improv/step: 0.255 (last = 0.1250), fitness=0.038104542
347.89 secs, 4965 evals, 4840 steps, improv/step: 0.255 (last = 0.0000), fitness=0.038104542
348.44 secs, 4973 evals, 4848 steps, improv/step: 0.254 (last = 0.0000), fitness=0.038104542
349.01 secs, 4981 evals, 4856 steps, improv/step: 0.254 (last = 0.1250), fitness=0.038104542
349.51 secs, 4988 evals, 4863 steps, improv/step: 0.254 (last = 0.1429), fitness=0.038104542
350.06 secs, 4996 evals, 4871 steps, improv/step: 0.254 (last = 0.1250), fitness=0.038104542
350.60 secs, 5004 evals, 4879 steps, improv/step: 0.254 (last = 0.1250), fitness=0.038104542
351.14 secs, 5012 evals, 4887 steps, improv/step: 0.253 (last = 0.0000), fitness=0.038104542
351.68 secs, 5020 evals, 4895 steps, improv/step: 0.253 (last = 0.0000), fitness=0.038104542
352.22 secs, 5028 evals, 4903 steps, improv/step: 0.253 (last = 0.2500), fitness=0.038104542
352.77 secs, 5036 evals, 4911 steps, improv/step: 0.252 (last = 0.1250), fitness=0.038104542
353.32 secs, 5044 evals, 4919 steps, improv/step: 0.252 (last = 0.0000), fitness=0.038104542
353.86 secs, 5052 evals, 4927 steps, improv/step: 0.252 (last = 0.0000), fitness=0.038104542
354.41 secs, 5060 evals, 4935 steps, improv/step: 0.251 (last = 0.1250), fitness=0.038104542
354.97 secs, 5068 evals, 4943 steps, improv/step: 0.251 (last = 0.0000), fitness=0.038104542
355.48 secs, 5075 evals, 4950 steps, improv/step: 0.251 (last = 0.1429), fitness=0.038104542
356.04 secs, 5083 evals, 4958 steps, improv/step: 0.251 (last = 0.1250), fitness=0.038104542
356.60 secs, 5091 evals, 4966 steps, improv/step: 0.251 (last = 0.1250), fitness=0.038104542
357.16 secs, 5099 evals, 4974 steps, improv/step: 0.250 (last = 0.0000), fitness=0.038104542
357.66 secs, 5106 evals, 4981 steps, improv/step: 0.250 (last = 0.1429), fitness=0.038104542
358.21 secs, 5114 evals, 4989 steps, improv/step: 0.250 (last = 0.0000), fitness=0.038104542
358.76 secs, 5122 evals, 4997 steps, improv/step: 0.249 (last = 0.0000), fitness=0.038104542
359.31 secs, 5130 evals, 5005 steps, improv/step: 0.249 (last = 0.1250), fitness=0.038104542
359.85 secs, 5138 evals, 5013 steps, improv/step: 0.249 (last = 0.2500), fitness=0.038104541
360.40 secs, 5146 evals, 5021 steps, improv/step: 0.249 (last = 0.1250), fitness=0.038104541
360.95 secs, 5154 evals, 5029 steps, improv/step: 0.248 (last = 0.0000), fitness=0.038104541
361.51 secs, 5162 evals, 5037 steps, improv/step: 0.248 (last = 0.2500), fitness=0.038104541
362.06 secs, 5170 evals, 5045 steps, improv/step: 0.248 (last = 0.1250), fitness=0.038104541
362.61 secs, 5178 evals, 5053 steps, improv/step: 0.248 (last = 0.1250), fitness=0.038104541
363.16 secs, 5186 evals, 5061 steps, improv/step: 0.248 (last = 0.0000), fitness=0.038104541
363.70 secs, 5194 evals, 5069 steps, improv/step: 0.247 (last = 0.0000), fitness=0.038104541
364.25 secs, 5202 evals, 5077 steps, improv/step: 0.247 (last = 0.1250), fitness=0.038104541
364.79 secs, 5210 evals, 5085 steps, improv/step: 0.247 (last = 0.1250), fitness=0.038104541
365.34 secs, 5218 evals, 5093 steps, improv/step: 0.247 (last = 0.1250), fitness=0.038104541
365.88 secs, 5226 evals, 5101 steps, improv/step: 0.246 (last = 0.1250), fitness=0.038104541
366.42 secs, 5234 evals, 5109 steps, improv/step: 0.246 (last = 0.0000), fitness=0.038104541
366.97 secs, 5242 evals, 5117 steps, improv/step: 0.246 (last = 0.0000), fitness=0.038104541
367.51 secs, 5250 evals, 5125 steps, improv/step: 0.245 (last = 0.1250), fitness=0.038104541
368.07 secs, 5258 evals, 5133 steps, improv/step: 0.245 (last = 0.1250), fitness=0.038104541
368.63 secs, 5266 evals, 5141 steps, improv/step: 0.245 (last = 0.1250), fitness=0.038104541
369.17 secs, 5274 evals, 5149 steps, improv/step: 0.245 (last = 0.0000), fitness=0.038104541
369.71 secs, 5282 evals, 5157 steps, improv/step: 0.244 (last = 0.0000), fitness=0.038104541
370.26 secs, 5290 evals, 5165 steps, improv/step: 0.244 (last = 0.0000), fitness=0.038104541
370.79 secs, 5298 evals, 5173 steps, improv/step: 0.244 (last = 0.0000), fitness=0.038104541
371.33 secs, 5306 evals, 5181 steps, improv/step: 0.243 (last = 0.1250), fitness=0.038104541
371.88 secs, 5314 evals, 5189 steps, improv/step: 0.243 (last = 0.0000), fitness=0.038104541
372.42 secs, 5322 evals, 5197 steps, improv/step: 0.243 (last = 0.0000), fitness=0.038104541
372.96 secs, 5330 evals, 5205 steps, improv/step: 0.242 (last = 0.0000), fitness=0.038104541
373.50 secs, 5338 evals, 5213 steps, improv/step: 0.242 (last = 0.0000), fitness=0.038104541
374.04 secs, 5346 evals, 5221 steps, improv/step: 0.242 (last = 0.2500), fitness=0.038104541
374.58 secs, 5354 evals, 5229 steps, improv/step: 0.242 (last = 0.0000), fitness=0.038104541
375.13 secs, 5362 evals, 5237 steps, improv/step: 0.241 (last = 0.1250), fitness=0.038104541
375.69 secs, 5370 evals, 5245 steps, improv/step: 0.241 (last = 0.0000), fitness=0.038104541
376.22 secs, 5378 evals, 5253 steps, improv/step: 0.241 (last = 0.1250), fitness=0.038104541
376.77 secs, 5386 evals, 5261 steps, improv/step: 0.240 (last = 0.0000), fitness=0.038104541
377.30 secs, 5394 evals, 5269 steps, improv/step: 0.240 (last = 0.1250), fitness=0.038104541
377.81 secs, 5401 evals, 5276 steps, improv/step: 0.240 (last = 0.1429), fitness=0.038104541
378.32 secs, 5408 evals, 5283 steps, improv/step: 0.240 (last = 0.0000), fitness=0.038104541
378.86 secs, 5416 evals, 5291 steps, improv/step: 0.240 (last = 0.1250), fitness=0.038104541
379.40 secs, 5424 evals, 5299 steps, improv/step: 0.239 (last = 0.1250), fitness=0.038104541
379.95 secs, 5432 evals, 5307 steps, improv/step: 0.239 (last = 0.0000), fitness=0.038104541
380.49 secs, 5440 evals, 5315 steps, improv/step: 0.239 (last = 0.0000), fitness=0.038104541
381.03 secs, 5448 evals, 5323 steps, improv/step: 0.238 (last = 0.0000), fitness=0.038104541
381.57 secs, 5456 evals, 5331 steps, improv/step: 0.238 (last = 0.1250), fitness=0.038104541
382.11 secs, 5464 evals, 5339 steps, improv/step: 0.238 (last = 0.1250), fitness=0.038104541
382.65 secs, 5472 evals, 5347 steps, improv/step: 0.238 (last = 0.2500), fitness=0.038104537
383.19 secs, 5480 evals, 5355 steps, improv/step: 0.238 (last = 0.1250), fitness=0.038104537
383.73 secs, 5488 evals, 5363 steps, improv/step: 0.238 (last = 0.2500), fitness=0.038104537
384.27 secs, 5496 evals, 5371 steps, improv/step: 0.238 (last = 0.0000), fitness=0.038104537
384.82 secs, 5504 evals, 5379 steps, improv/step: 0.237 (last = 0.1250), fitness=0.038104537
385.36 secs, 5512 evals, 5387 steps, improv/step: 0.237 (last = 0.0000), fitness=0.038104537
385.89 secs, 5520 evals, 5395 steps, improv/step: 0.237 (last = 0.2500), fitness=0.038104537
386.44 secs, 5528 evals, 5403 steps, improv/step: 0.237 (last = 0.1250), fitness=0.038104537
386.98 secs, 5536 evals, 5411 steps, improv/step: 0.237 (last = 0.0000), fitness=0.038104537
387.53 secs, 5544 evals, 5419 steps, improv/step: 0.236 (last = 0.0000), fitness=0.038104537
388.07 secs, 5552 evals, 5427 steps, improv/step: 0.236 (last = 0.0000), fitness=0.038104537
388.61 secs, 5560 evals, 5435 steps, improv/step: 0.236 (last = 0.0000), fitness=0.038104537
389.15 secs, 5568 evals, 5443 steps, improv/step: 0.235 (last = 0.0000), fitness=0.038104537
389.69 secs, 5576 evals, 5451 steps, improv/step: 0.235 (last = 0.1250), fitness=0.038104537
390.23 secs, 5584 evals, 5459 steps, improv/step: 0.235 (last = 0.2500), fitness=0.038104537
390.78 secs, 5592 evals, 5467 steps, improv/step: 0.235 (last = 0.0000), fitness=0.038104537
391.32 secs, 5600 evals, 5475 steps, improv/step: 0.235 (last = 0.1250), fitness=0.038104537
391.86 secs, 5608 evals, 5483 steps, improv/step: 0.235 (last = 0.2500), fitness=0.038104537
392.40 secs, 5616 evals, 5491 steps, improv/step: 0.234 (last = 0.0000), fitness=0.038104537
392.95 secs, 5624 evals, 5499 steps, improv/step: 0.234 (last = 0.1250), fitness=0.038104537
393.49 secs, 5632 evals, 5507 steps, improv/step: 0.234 (last = 0.1250), fitness=0.038104537
394.03 secs, 5640 evals, 5515 steps, improv/step: 0.234 (last = 0.1250), fitness=0.038104537
394.57 secs, 5648 evals, 5523 steps, improv/step: 0.234 (last = 0.1250), fitness=0.038104537
395.11 secs, 5656 evals, 5531 steps, improv/step: 0.233 (last = 0.0000), fitness=0.038104537
395.65 secs, 5664 evals, 5539 steps, improv/step: 0.233 (last = 0.1250), fitness=0.038104537
396.21 secs, 5672 evals, 5547 steps, improv/step: 0.233 (last = 0.0000), fitness=0.038104537
396.75 secs, 5680 evals, 5555 steps, improv/step: 0.232 (last = 0.0000), fitness=0.038104537
397.30 secs, 5688 evals, 5563 steps, improv/step: 0.232 (last = 0.1250), fitness=0.038104537
397.84 secs, 5696 evals, 5571 steps, improv/step: 0.232 (last = 0.0000), fitness=0.038104537
398.40 secs, 5704 evals, 5579 steps, improv/step: 0.232 (last = 0.1250), fitness=0.038104537
398.96 secs, 5712 evals, 5587 steps, improv/step: 0.231 (last = 0.0000), fitness=0.038104537
399.51 secs, 5720 evals, 5595 steps, improv/step: 0.231 (last = 0.0000), fitness=0.038104537
400.06 secs, 5728 evals, 5603 steps, improv/step: 0.231 (last = 0.2500), fitness=0.038104537
400.61 secs, 5736 evals, 5611 steps, improv/step: 0.231 (last = 0.0000), fitness=0.038104537
401.15 secs, 5744 evals, 5619 steps, improv/step: 0.230 (last = 0.0000), fitness=0.038104537
401.69 secs, 5752 evals, 5627 steps, improv/step: 0.230 (last = 0.0000), fitness=0.038104537
402.24 secs, 5760 evals, 5635 steps, improv/step: 0.230 (last = 0.2500), fitness=0.038104537
402.78 secs, 5768 evals, 5643 steps, improv/step: 0.230 (last = 0.0000), fitness=0.038104537
403.33 secs, 5776 evals, 5651 steps, improv/step: 0.230 (last = 0.0000), fitness=0.038104537
403.90 secs, 5784 evals, 5659 steps, improv/step: 0.229 (last = 0.0000), fitness=0.038104537
404.45 secs, 5792 evals, 5667 steps, improv/step: 0.229 (last = 0.1250), fitness=0.038104537
405.00 secs, 5800 evals, 5675 steps, improv/step: 0.229 (last = 0.1250), fitness=0.038104537
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406.11 secs, 5816 evals, 5691 steps, improv/step: 0.229 (last = 0.3750), fitness=0.038104537
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407.23 secs, 5832 evals, 5707 steps, improv/step: 0.228 (last = 0.2500), fitness=0.038104537
407.79 secs, 5840 evals, 5715 steps, improv/step: 0.228 (last = 0.1250), fitness=0.038104537
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409.37 secs, 5862 evals, 5737 steps, improv/step: 0.227 (last = 0.0000), fitness=0.038104537
409.92 secs, 5870 evals, 5745 steps, improv/step: 0.227 (last = 0.0000), fitness=0.038104537
410.48 secs, 5878 evals, 5753 steps, improv/step: 0.227 (last = 0.0000), fitness=0.038104537
411.04 secs, 5886 evals, 5761 steps, improv/step: 0.227 (last = 0.1250), fitness=0.038104537
411.61 secs, 5894 evals, 5769 steps, improv/step: 0.227 (last = 0.1250), fitness=0.038104537
412.17 secs, 5902 evals, 5777 steps, improv/step: 0.227 (last = 0.2500), fitness=0.038104537
412.73 secs, 5910 evals, 5785 steps, improv/step: 0.226 (last = 0.0000), fitness=0.038104537
413.29 secs, 5918 evals, 5793 steps, improv/step: 0.226 (last = 0.2500), fitness=0.038104537
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414.41 secs, 5934 evals, 5809 steps, improv/step: 0.226 (last = 0.1250), fitness=0.038104537
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416.07 secs, 5958 evals, 5833 steps, improv/step: 0.225 (last = 0.1250), fitness=0.038104537
416.64 secs, 5966 evals, 5841 steps, improv/step: 0.225 (last = 0.0000), fitness=0.038104537
417.19 secs, 5974 evals, 5849 steps, improv/step: 0.225 (last = 0.1250), fitness=0.038104537
417.74 secs, 5982 evals, 5857 steps, improv/step: 0.225 (last = 0.0000), fitness=0.038104537
418.30 secs, 5990 evals, 5865 steps, improv/step: 0.224 (last = 0.0000), fitness=0.038104537
418.86 secs, 5998 evals, 5873 steps, improv/step: 0.224 (last = 0.2500), fitness=0.038104537
419.41 secs, 6006 evals, 5881 steps, improv/step: 0.224 (last = 0.0000), fitness=0.038104537
419.96 secs, 6014 evals, 5889 steps, improv/step: 0.224 (last = 0.1250), fitness=0.038104537
420.51 secs, 6022 evals, 5897 steps, improv/step: 0.224 (last = 0.1250), fitness=0.038104537
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422.19 secs, 6046 evals, 5921 steps, improv/step: 0.223 (last = 0.0000), fitness=0.038104537
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423.88 secs, 6070 evals, 5945 steps, improv/step: 0.223 (last = 0.1250), fitness=0.038104537
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426.02 secs, 6100 evals, 5975 steps, improv/step: 0.222 (last = 0.0000), fitness=0.038104537
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427.11 secs, 6115 evals, 5990 steps, improv/step: 0.221 (last = 0.0000), fitness=0.038104537
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428.24 secs, 6131 evals, 6006 steps, improv/step: 0.221 (last = 0.0000), fitness=0.038104537
428.81 secs, 6139 evals, 6014 steps, improv/step: 0.220 (last = 0.0000), fitness=0.038104537
429.38 secs, 6147 evals, 6022 steps, improv/step: 0.221 (last = 0.2500), fitness=0.038104537
429.88 secs, 6154 evals, 6029 steps, improv/step: 0.220 (last = 0.1429), fitness=0.038104537
430.45 secs, 6162 evals, 6037 steps, improv/step: 0.220 (last = 0.1250), fitness=0.038104537
431.01 secs, 6170 evals, 6045 steps, improv/step: 0.220 (last = 0.1250), fitness=0.038104537
431.52 secs, 6177 evals, 6052 steps, improv/step: 0.220 (last = 0.0000), fitness=0.038104537
432.09 secs, 6185 evals, 6060 steps, improv/step: 0.220 (last = 0.1250), fitness=0.038104537
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434.29 secs, 6216 evals, 6091 steps, improv/step: 0.219 (last = 0.0000), fitness=0.038104537
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435.36 secs, 6231 evals, 6106 steps, improv/step: 0.219 (last = 0.1250), fitness=0.038104537
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438.00 secs, 6268 evals, 6143 steps, improv/step: 0.218 (last = 0.0000), fitness=0.038104537
438.51 secs, 6275 evals, 6150 steps, improv/step: 0.217 (last = 0.0000), fitness=0.038104537
439.06 secs, 6282 evals, 6157 steps, improv/step: 0.217 (last = 0.0000), fitness=0.038104537
439.63 secs, 6290 evals, 6165 steps, improv/step: 0.217 (last = 0.1250), fitness=0.038104537
440.14 secs, 6297 evals, 6172 steps, improv/step: 0.217 (last = 0.2857), fitness=0.038104533
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441.21 secs, 6312 evals, 6187 steps, improv/step: 0.217 (last = 0.1429), fitness=0.038104533
441.74 secs, 6319 evals, 6194 steps, improv/step: 0.216 (last = 0.0000), fitness=0.038104533
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446.84 secs, 6390 evals, 6265 steps, improv/step: 0.215 (last = 0.0000), fitness=0.038104533
447.41 secs, 6398 evals, 6273 steps, improv/step: 0.215 (last = 0.0000), fitness=0.038104533
447.91 secs, 6405 evals, 6280 steps, improv/step: 0.214 (last = 0.0000), fitness=0.038104533
448.42 secs, 6412 evals, 6287 steps, improv/step: 0.214 (last = 0.1429), fitness=0.038104533
448.99 secs, 6420 evals, 6295 steps, improv/step: 0.214 (last = 0.0000), fitness=0.038104533
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450.01 secs, 6434 evals, 6309 steps, improv/step: 0.214 (last = 0.0000), fitness=0.038104533
450.58 secs, 6442 evals, 6317 steps, improv/step: 0.214 (last = 0.0000), fitness=0.038104533
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451.65 secs, 6457 evals, 6332 steps, improv/step: 0.213 (last = 0.1429), fitness=0.038104533
452.17 secs, 6464 evals, 6339 steps, improv/step: 0.213 (last = 0.1429), fitness=0.038104533
452.68 secs, 6470 evals, 6345 steps, improv/step: 0.213 (last = 0.5000), fitness=0.038104533
453.25 secs, 6478 evals, 6353 steps, improv/step: 0.213 (last = 0.0000), fitness=0.038104533
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454.81 secs, 6499 evals, 6374 steps, improv/step: 0.212 (last = 0.0000), fitness=0.038104533
455.31 secs, 6506 evals, 6381 steps, improv/step: 0.212 (last = 0.0000), fitness=0.038104533
455.81 secs, 6513 evals, 6388 steps, improv/step: 0.212 (last = 0.0000), fitness=0.038104533
456.37 secs, 6520 evals, 6395 steps, improv/step: 0.212 (last = 0.0000), fitness=0.038104533
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457.92 secs, 6541 evals, 6416 steps, improv/step: 0.211 (last = 0.1429), fitness=0.038104533
458.46 secs, 6548 evals, 6423 steps, improv/step: 0.211 (last = 0.0000), fitness=0.038104533
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460.03 secs, 6568 evals, 6443 steps, improv/step: 0.210 (last = 0.0000), fitness=0.038104533
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461.12 secs, 6580 evals, 6455 steps, improv/step: 0.210 (last = 0.0000), fitness=0.038104533
461.66 secs, 6586 evals, 6461 steps, improv/step: 0.210 (last = 0.0000), fitness=0.038104533
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463.28 secs, 6605 evals, 6480 steps, improv/step: 0.209 (last = 0.0000), fitness=0.038104533
463.81 secs, 6611 evals, 6486 steps, improv/step: 0.209 (last = 0.5000), fitness=0.038104533
464.35 secs, 6617 evals, 6492 steps, improv/step: 0.209 (last = 0.0000), fitness=0.038104533
464.88 secs, 6623 evals, 6498 steps, improv/step: 0.209 (last = 0.1667), fitness=0.038104533
465.45 secs, 6631 evals, 6506 steps, improv/step: 0.209 (last = 0.0000), fitness=0.038104533
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466.99 secs, 6652 evals, 6527 steps, improv/step: 0.208 (last = 0.0000), fitness=0.038104533
467.52 secs, 6659 evals, 6534 steps, improv/step: 0.208 (last = 0.1429), fitness=0.038104533
468.03 secs, 6666 evals, 6541 steps, improv/step: 0.208 (last = 0.1429), fitness=0.038104533
468.56 secs, 6673 evals, 6548 steps, improv/step: 0.208 (last = 0.1429), fitness=0.038104533
469.14 secs, 6680 evals, 6555 steps, improv/step: 0.208 (last = 0.0000), fitness=0.038104533
469.70 secs, 6687 evals, 6562 steps, improv/step: 0.208 (last = 0.1429), fitness=0.038104533
470.20 secs, 6694 evals, 6569 steps, improv/step: 0.207 (last = 0.0000), fitness=0.038104533
470.72 secs, 6701 evals, 6576 steps, improv/step: 0.207 (last = 0.0000), fitness=0.038104533
471.23 secs, 6708 evals, 6583 steps, improv/step: 0.207 (last = 0.1429), fitness=0.038104533
471.76 secs, 6715 evals, 6590 steps, improv/step: 0.207 (last = 0.0000), fitness=0.038104533
472.30 secs, 6722 evals, 6597 steps, improv/step: 0.207 (last = 0.0000), fitness=0.038104533
472.84 secs, 6729 evals, 6604 steps, improv/step: 0.207 (last = 0.0000), fitness=0.038104533
473.36 secs, 6736 evals, 6611 steps, improv/step: 0.206 (last = 0.0000), fitness=0.038104533
473.93 secs, 6744 evals, 6619 steps, improv/step: 0.206 (last = 0.0000), fitness=0.038104533
474.44 secs, 6751 evals, 6626 steps, improv/step: 0.206 (last = 0.1429), fitness=0.038104533
474.95 secs, 6758 evals, 6633 steps, improv/step: 0.206 (last = 0.0000), fitness=0.038104533
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476.03 secs, 6773 evals, 6648 steps, improv/step: 0.205 (last = 0.0000), fitness=0.038104533
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477.06 secs, 6787 evals, 6662 steps, improv/step: 0.205 (last = 0.1429), fitness=0.038104533
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478.10 secs, 6801 evals, 6676 steps, improv/step: 0.205 (last = 0.0000), fitness=0.038104533
478.66 secs, 6808 evals, 6683 steps, improv/step: 0.204 (last = 0.0000), fitness=0.038104533
479.18 secs, 6815 evals, 6690 steps, improv/step: 0.204 (last = 0.0000), fitness=0.038104533
479.71 secs, 6822 evals, 6697 steps, improv/step: 0.204 (last = 0.0000), fitness=0.038104533
480.27 secs, 6830 evals, 6705 steps, improv/step: 0.204 (last = 0.1250), fitness=0.038104533
480.83 secs, 6838 evals, 6713 steps, improv/step: 0.204 (last = 0.1250), fitness=0.038104533
481.39 secs, 6846 evals, 6721 steps, improv/step: 0.204 (last = 0.0000), fitness=0.038104533
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482.44 secs, 6861 evals, 6736 steps, improv/step: 0.203 (last = 0.1250), fitness=0.038104533
482.99 secs, 6869 evals, 6744 steps, improv/step: 0.203 (last = 0.1250), fitness=0.038104533
483.56 secs, 6877 evals, 6752 steps, improv/step: 0.203 (last = 0.0000), fitness=0.038104533
484.06 secs, 6884 evals, 6759 steps, improv/step: 0.203 (last = 0.0000), fitness=0.038104533
484.58 secs, 6891 evals, 6766 steps, improv/step: 0.202 (last = 0.0000), fitness=0.038104533
485.11 secs, 6898 evals, 6773 steps, improv/step: 0.202 (last = 0.0000), fitness=0.038104533
485.65 secs, 6905 evals, 6780 steps, improv/step: 0.202 (last = 0.0000), fitness=0.038104533
486.17 secs, 6912 evals, 6787 steps, improv/step: 0.202 (last = 0.0000), fitness=0.038104533
486.68 secs, 6919 evals, 6794 steps, improv/step: 0.202 (last = 0.0000), fitness=0.038104533
487.20 secs, 6926 evals, 6801 steps, improv/step: 0.202 (last = 0.1429), fitness=0.038104533
487.71 secs, 6933 evals, 6808 steps, improv/step: 0.201 (last = 0.0000), fitness=0.038104533
488.22 secs, 6940 evals, 6815 steps, improv/step: 0.201 (last = 0.0000), fitness=0.038104533
488.74 secs, 6947 evals, 6822 steps, improv/step: 0.201 (last = 0.1429), fitness=0.038104533
489.24 secs, 6954 evals, 6829 steps, improv/step: 0.201 (last = 0.0000), fitness=0.038104533
489.77 secs, 6961 evals, 6836 steps, improv/step: 0.201 (last = 0.0000), fitness=0.038104533
490.30 secs, 6968 evals, 6843 steps, improv/step: 0.201 (last = 0.1429), fitness=0.038104533
490.82 secs, 6975 evals, 6850 steps, improv/step: 0.200 (last = 0.0000), fitness=0.038104533
491.33 secs, 6982 evals, 6857 steps, improv/step: 0.200 (last = 0.0000), fitness=0.038104533
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492.49 secs, 6996 evals, 6871 steps, improv/step: 0.200 (last = 0.0000), fitness=0.038104533
493.02 secs, 7003 evals, 6878 steps, improv/step: 0.200 (last = 0.0000), fitness=0.038104533
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494.09 secs, 7018 evals, 6893 steps, improv/step: 0.199 (last = 0.0000), fitness=0.038104533
494.65 secs, 7026 evals, 6901 steps, improv/step: 0.199 (last = 0.1250), fitness=0.038104533
495.16 secs, 7033 evals, 6908 steps, improv/step: 0.199 (last = 0.1429), fitness=0.038104533
495.67 secs, 7040 evals, 6915 steps, improv/step: 0.199 (last = 0.1429), fitness=0.038104533
496.24 secs, 7048 evals, 6923 steps, improv/step: 0.199 (last = 0.0000), fitness=0.038104533
496.80 secs, 7056 evals, 6931 steps, improv/step: 0.199 (last = 0.1250), fitness=0.038104533
497.30 secs, 7063 evals, 6938 steps, improv/step: 0.198 (last = 0.0000), fitness=0.038104533
497.87 secs, 7071 evals, 6946 steps, improv/step: 0.198 (last = 0.0000), fitness=0.038104533
498.43 secs, 7079 evals, 6954 steps, improv/step: 0.198 (last = 0.0000), fitness=0.038104533
499.00 secs, 7087 evals, 6962 steps, improv/step: 0.198 (last = 0.0000), fitness=0.038104533
499.51 secs, 7094 evals, 6969 steps, improv/step: 0.198 (last = 0.0000), fitness=0.038104533
500.06 secs, 7102 evals, 6977 steps, improv/step: 0.197 (last = 0.0000), fitness=0.038104533
500.56 secs, 7109 evals, 6984 steps, improv/step: 0.197 (last = 0.0000), fitness=0.038104533
501.13 secs, 7117 evals, 6992 steps, improv/step: 0.197 (last = 0.1250), fitness=0.038104533
501.64 secs, 7124 evals, 6999 steps, improv/step: 0.197 (last = 0.0000), fitness=0.038104533
502.20 secs, 7132 evals, 7007 steps, improv/step: 0.197 (last = 0.2500), fitness=0.038104533
502.76 secs, 7140 evals, 7015 steps, improv/step: 0.197 (last = 0.0000), fitness=0.038104533
503.32 secs, 7148 evals, 7023 steps, improv/step: 0.197 (last = 0.1250), fitness=0.038104533
503.84 secs, 7155 evals, 7030 steps, improv/step: 0.197 (last = 0.1429), fitness=0.038104533
504.40 secs, 7163 evals, 7038 steps, improv/step: 0.197 (last = 0.2500), fitness=0.038104533
504.97 secs, 7171 evals, 7046 steps, improv/step: 0.196 (last = 0.0000), fitness=0.038104533
505.54 secs, 7179 evals, 7054 steps, improv/step: 0.196 (last = 0.1250), fitness=0.038104533
506.08 secs, 7187 evals, 7063 steps, improv/step: 0.196 (last = 0.0000), fitness=0.038104533
506.62 secs, 7195 evals, 7071 steps, improv/step: 0.196 (last = 0.0000), fitness=0.038104533
507.19 secs, 7203 evals, 7079 steps, improv/step: 0.196 (last = 0.1250), fitness=0.038104533
507.73 secs, 7211 evals, 7087 steps, improv/step: 0.196 (last = 0.0000), fitness=0.038104533
508.28 secs, 7219 evals, 7095 steps, improv/step: 0.195 (last = 0.1250), fitness=0.038104533
508.83 secs, 7227 evals, 7103 steps, improv/step: 0.195 (last = 0.1250), fitness=0.038104533
509.37 secs, 7235 evals, 7111 steps, improv/step: 0.195 (last = 0.1250), fitness=0.038104533
509.92 secs, 7243 evals, 7119 steps, improv/step: 0.195 (last = 0.1250), fitness=0.038104533
510.47 secs, 7251 evals, 7127 steps, improv/step: 0.195 (last = 0.1250), fitness=0.038104533
511.04 secs, 7259 evals, 7135 steps, improv/step: 0.195 (last = 0.0000), fitness=0.038104533
511.59 secs, 7267 evals, 7143 steps, improv/step: 0.195 (last = 0.2500), fitness=0.038104533
512.13 secs, 7275 evals, 7151 steps, improv/step: 0.195 (last = 0.2500), fitness=0.038104533
512.68 secs, 7283 evals, 7159 steps, improv/step: 0.195 (last = 0.2500), fitness=0.038104533
513.24 secs, 7291 evals, 7167 steps, improv/step: 0.195 (last = 0.1250), fitness=0.038104533
513.74 secs, 7298 evals, 7174 steps, improv/step: 0.195 (last = 0.0000), fitness=0.038104533
514.31 secs, 7306 evals, 7182 steps, improv/step: 0.195 (last = 0.1250), fitness=0.038104533
514.87 secs, 7314 evals, 7190 steps, improv/step: 0.195 (last = 0.0000), fitness=0.038104533
515.44 secs, 7322 evals, 7198 steps, improv/step: 0.194 (last = 0.1250), fitness=0.038104533
516.00 secs, 7330 evals, 7206 steps, improv/step: 0.194 (last = 0.1250), fitness=0.038104533
516.55 secs, 7338 evals, 7214 steps, improv/step: 0.194 (last = 0.0000), fitness=0.038104533
517.11 secs, 7346 evals, 7222 steps, improv/step: 0.194 (last = 0.3750), fitness=0.038104533
517.61 secs, 7353 evals, 7229 steps, improv/step: 0.194 (last = 0.1429), fitness=0.038104533
518.16 secs, 7361 evals, 7237 steps, improv/step: 0.194 (last = 0.2500), fitness=0.038104533
518.73 secs, 7369 evals, 7245 steps, improv/step: 0.194 (last = 0.1250), fitness=0.038104533
519.28 secs, 7377 evals, 7253 steps, improv/step: 0.194 (last = 0.2500), fitness=0.038104533
519.83 secs, 7385 evals, 7261 steps, improv/step: 0.194 (last = 0.0000), fitness=0.038104533
520.39 secs, 7393 evals, 7269 steps, improv/step: 0.194 (last = 0.1250), fitness=0.038104533
520.94 secs, 7401 evals, 7277 steps, improv/step: 0.194 (last = 0.0000), fitness=0.038104533
521.49 secs, 7409 evals, 7285 steps, improv/step: 0.194 (last = 0.1250), fitness=0.038104533
522.05 secs, 7417 evals, 7293 steps, improv/step: 0.194 (last = 0.1250), fitness=0.038104533
522.60 secs, 7425 evals, 7301 steps, improv/step: 0.194 (last = 0.1250), fitness=0.038104533
523.15 secs, 7433 evals, 7309 steps, improv/step: 0.193 (last = 0.0000), fitness=0.038104533
523.66 secs, 7440 evals, 7316 steps, improv/step: 0.193 (last = 0.1429), fitness=0.038104533
524.22 secs, 7448 evals, 7324 steps, improv/step: 0.193 (last = 0.0000), fitness=0.038104533
524.78 secs, 7456 evals, 7332 steps, improv/step: 0.193 (last = 0.0000), fitness=0.038104533
525.33 secs, 7464 evals, 7340 steps, improv/step: 0.193 (last = 0.0000), fitness=0.038104533
525.88 secs, 7472 evals, 7348 steps, improv/step: 0.193 (last = 0.2500), fitness=0.038104533
526.45 secs, 7480 evals, 7356 steps, improv/step: 0.193 (last = 0.2500), fitness=0.038104533
527.00 secs, 7488 evals, 7364 steps, improv/step: 0.193 (last = 0.1250), fitness=0.038104533
527.56 secs, 7496 evals, 7372 steps, improv/step: 0.193 (last = 0.2500), fitness=0.038104533
528.12 secs, 7504 evals, 7380 steps, improv/step: 0.193 (last = 0.0000), fitness=0.038104533
528.64 secs, 7511 evals, 7387 steps, improv/step: 0.193 (last = 0.0000), fitness=0.038104533
529.19 secs, 7519 evals, 7395 steps, improv/step: 0.192 (last = 0.0000), fitness=0.038104533
529.73 secs, 7527 evals, 7403 steps, improv/step: 0.192 (last = 0.0000), fitness=0.038104533
530.29 secs, 7535 evals, 7411 steps, improv/step: 0.192 (last = 0.1250), fitness=0.038104533
530.85 secs, 7543 evals, 7419 steps, improv/step: 0.192 (last = 0.2500), fitness=0.038104533
531.40 secs, 7551 evals, 7427 steps, improv/step: 0.192 (last = 0.0000), fitness=0.038104533
531.92 secs, 7559 evals, 7435 steps, improv/step: 0.192 (last = 0.0000), fitness=0.038104533
532.43 secs, 7567 evals, 7443 steps, improv/step: 0.191 (last = 0.0000), fitness=0.038104533
532.98 secs, 7575 evals, 7451 steps, improv/step: 0.191 (last = 0.0000), fitness=0.038104533
533.52 secs, 7583 evals, 7459 steps, improv/step: 0.191 (last = 0.1250), fitness=0.038104533
534.06 secs, 7591 evals, 7467 steps, improv/step: 0.191 (last = 0.0000), fitness=0.038104533
534.60 secs, 7599 evals, 7475 steps, improv/step: 0.191 (last = 0.0000), fitness=0.038104533
535.12 secs, 7607 evals, 7483 steps, improv/step: 0.191 (last = 0.2500), fitness=0.038104532
535.66 secs, 7615 evals, 7491 steps, improv/step: 0.191 (last = 0.1250), fitness=0.038104532
536.21 secs, 7623 evals, 7499 steps, improv/step: 0.191 (last = 0.0000), fitness=0.038104532
536.74 secs, 7631 evals, 7507 steps, improv/step: 0.190 (last = 0.0000), fitness=0.038104532
537.27 secs, 7639 evals, 7515 steps, improv/step: 0.190 (last = 0.0000), fitness=0.038104532
537.81 secs, 7647 evals, 7523 steps, improv/step: 0.190 (last = 0.1250), fitness=0.038104532
538.35 secs, 7655 evals, 7531 steps, improv/step: 0.190 (last = 0.3750), fitness=0.038104532
538.89 secs, 7663 evals, 7539 steps, improv/step: 0.190 (last = 0.1250), fitness=0.038104532
539.44 secs, 7671 evals, 7548 steps, improv/step: 0.190 (last = 0.2222), fitness=0.038104532
539.98 secs, 7679 evals, 7556 steps, improv/step: 0.190 (last = 0.1250), fitness=0.038104532
540.51 secs, 7687 evals, 7564 steps, improv/step: 0.190 (last = 0.0000), fitness=0.038104532
541.05 secs, 7695 evals, 7572 steps, improv/step: 0.190 (last = 0.0000), fitness=0.038104532
541.59 secs, 7703 evals, 7580 steps, improv/step: 0.190 (last = 0.0000), fitness=0.038104532
542.12 secs, 7711 evals, 7588 steps, improv/step: 0.189 (last = 0.0000), fitness=0.038104532
542.67 secs, 7719 evals, 7596 steps, improv/step: 0.190 (last = 0.5000), fitness=0.038104532
543.19 secs, 7727 evals, 7604 steps, improv/step: 0.190 (last = 0.2500), fitness=0.038104532
543.73 secs, 7735 evals, 7612 steps, improv/step: 0.190 (last = 0.1250), fitness=0.038104532
544.29 secs, 7743 evals, 7620 steps, improv/step: 0.190 (last = 0.0000), fitness=0.038104532
544.81 secs, 7751 evals, 7628 steps, improv/step: 0.189 (last = 0.0000), fitness=0.038104532
545.33 secs, 7759 evals, 7636 steps, improv/step: 0.189 (last = 0.2500), fitness=0.038104532
545.87 secs, 7767 evals, 7644 steps, improv/step: 0.189 (last = 0.0000), fitness=0.038104532
546.41 secs, 7775 evals, 7652 steps, improv/step: 0.189 (last = 0.1250), fitness=0.038104532
546.96 secs, 7783 evals, 7660 steps, improv/step: 0.189 (last = 0.1250), fitness=0.038104532
547.51 secs, 7791 evals, 7668 steps, improv/step: 0.189 (last = 0.2500), fitness=0.038104532
548.05 secs, 7799 evals, 7676 steps, improv/step: 0.189 (last = 0.0000), fitness=0.038104532
548.60 secs, 7807 evals, 7684 steps, improv/step: 0.189 (last = 0.0000), fitness=0.038104532
549.15 secs, 7815 evals, 7692 steps, improv/step: 0.189 (last = 0.1250), fitness=0.038104532
549.70 secs, 7823 evals, 7700 steps, improv/step: 0.189 (last = 0.1250), fitness=0.038104532
550.25 secs, 7831 evals, 7708 steps, improv/step: 0.189 (last = 0.1250), fitness=0.038104532
550.83 secs, 7839 evals, 7716 steps, improv/step: 0.188 (last = 0.1250), fitness=0.038104532
551.39 secs, 7847 evals, 7724 steps, improv/step: 0.189 (last = 0.2500), fitness=0.038104532
551.95 secs, 7855 evals, 7732 steps, improv/step: 0.188 (last = 0.1250), fitness=0.038104532
552.51 secs, 7863 evals, 7740 steps, improv/step: 0.189 (last = 0.5000), fitness=0.038104532
553.06 secs, 7870 evals, 7747 steps, improv/step: 0.189 (last = 0.1429), fitness=0.038104532
553.58 secs, 7877 evals, 7754 steps, improv/step: 0.189 (last = 0.0000), fitness=0.038104532
554.14 secs, 7885 evals, 7762 steps, improv/step: 0.188 (last = 0.1250), fitness=0.038104532
554.69 secs, 7893 evals, 7770 steps, improv/step: 0.188 (last = 0.1250), fitness=0.038104532
555.25 secs, 7901 evals, 7778 steps, improv/step: 0.189 (last = 0.3750), fitness=0.038104532
555.82 secs, 7909 evals, 7786 steps, improv/step: 0.189 (last = 0.2500), fitness=0.038104532
556.38 secs, 7917 evals, 7794 steps, improv/step: 0.189 (last = 0.1250), fitness=0.038104532
556.95 secs, 7925 evals, 7802 steps, improv/step: 0.189 (last = 0.2500), fitness=0.038104532
557.45 secs, 7932 evals, 7809 steps, improv/step: 0.189 (last = 0.0000), fitness=0.038104532
557.96 secs, 7939 evals, 7816 steps, improv/step: 0.188 (last = 0.0000), fitness=0.038104532
558.53 secs, 7947 evals, 7824 steps, improv/step: 0.188 (last = 0.0000), fitness=0.038104532
559.10 secs, 7955 evals, 7832 steps, improv/step: 0.188 (last = 0.2500), fitness=0.038104532
559.67 secs, 7963 evals, 7840 steps, improv/step: 0.188 (last = 0.0000), fitness=0.038104532
560.23 secs, 7971 evals, 7848 steps, improv/step: 0.188 (last = 0.0000), fitness=0.038104532
560.80 secs, 7979 evals, 7856 steps, improv/step: 0.188 (last = 0.0000), fitness=0.038104532
561.36 secs, 7987 evals, 7864 steps, improv/step: 0.188 (last = 0.3750), fitness=0.038104532
561.87 secs, 7994 evals, 7871 steps, improv/step: 0.188 (last = 0.1429), fitness=0.038104532
562.44 secs, 8002 evals, 7879 steps, improv/step: 0.188 (last = 0.0000), fitness=0.038104532
562.99 secs, 8010 evals, 7887 steps, improv/step: 0.188 (last = 0.1250), fitness=0.038104532
563.56 secs, 8018 evals, 7895 steps, improv/step: 0.187 (last = 0.0000), fitness=0.038104532
564.11 secs, 8026 evals, 7903 steps, improv/step: 0.188 (last = 0.3750), fitness=0.038104532
564.66 secs, 8034 evals, 7911 steps, improv/step: 0.187 (last = 0.1250), fitness=0.038104532
565.23 secs, 8042 evals, 7919 steps, improv/step: 0.187 (last = 0.0000), fitness=0.038104532
565.80 secs, 8050 evals, 7927 steps, improv/step: 0.187 (last = 0.1250), fitness=0.038104532
566.36 secs, 8058 evals, 7935 steps, improv/step: 0.187 (last = 0.0000), fitness=0.038104532
566.92 secs, 8066 evals, 7943 steps, improv/step: 0.187 (last = 0.0000), fitness=0.038104532
567.48 secs, 8074 evals, 7951 steps, improv/step: 0.187 (last = 0.0000), fitness=0.038104532
568.00 secs, 8081 evals, 7958 steps, improv/step: 0.187 (last = 0.1429), fitness=0.038104532
568.57 secs, 8089 evals, 7966 steps, improv/step: 0.186 (last = 0.0000), fitness=0.038104532
569.13 secs, 8097 evals, 7974 steps, improv/step: 0.186 (last = 0.1250), fitness=0.038104532
569.64 secs, 8104 evals, 7981 steps, improv/step: 0.186 (last = 0.2857), fitness=0.038104532
570.21 secs, 8112 evals, 7989 steps, improv/step: 0.186 (last = 0.1250), fitness=0.038104532
570.77 secs, 8120 evals, 7997 steps, improv/step: 0.186 (last = 0.0000), fitness=0.038104532
571.27 secs, 8127 evals, 8004 steps, improv/step: 0.186 (last = 0.0000), fitness=0.038104532
571.85 secs, 8135 evals, 8012 steps, improv/step: 0.186 (last = 0.1250), fitness=0.038104532
572.41 secs, 8143 evals, 8020 steps, improv/step: 0.186 (last = 0.0000), fitness=0.038104532
572.97 secs, 8151 evals, 8028 steps, improv/step: 0.186 (last = 0.1250), fitness=0.038104532
573.51 secs, 8158 evals, 8035 steps, improv/step: 0.186 (last = 0.2857), fitness=0.038104532
574.07 secs, 8166 evals, 8043 steps, improv/step: 0.186 (last = 0.3750), fitness=0.038104532
574.58 secs, 8173 evals, 8050 steps, improv/step: 0.186 (last = 0.1429), fitness=0.038104532
575.15 secs, 8181 evals, 8058 steps, improv/step: 0.186 (last = 0.1250), fitness=0.038104532
575.71 secs, 8189 evals, 8066 steps, improv/step: 0.186 (last = 0.1250), fitness=0.038104532
576.25 secs, 8197 evals, 8074 steps, improv/step: 0.186 (last = 0.0000), fitness=0.038104532
576.80 secs, 8205 evals, 8082 steps, improv/step: 0.186 (last = 0.1250), fitness=0.038104532
577.36 secs, 8213 evals, 8090 steps, improv/step: 0.186 (last = 0.1250), fitness=0.038104532
577.92 secs, 8221 evals, 8098 steps, improv/step: 0.185 (last = 0.0000), fitness=0.038104532
578.49 secs, 8229 evals, 8106 steps, improv/step: 0.186 (last = 0.5000), fitness=0.038104532
578.99 secs, 8236 evals, 8113 steps, improv/step: 0.186 (last = 0.2857), fitness=0.038104532
579.49 secs, 8243 evals, 8120 steps, improv/step: 0.186 (last = 0.0000), fitness=0.038104532
580.07 secs, 8251 evals, 8128 steps, improv/step: 0.186 (last = 0.2500), fitness=0.038104532
580.63 secs, 8259 evals, 8136 steps, improv/step: 0.186 (last = 0.1250), fitness=0.038104532
581.20 secs, 8267 evals, 8144 steps, improv/step: 0.185 (last = 0.0000), fitness=0.038104532
581.72 secs, 8274 evals, 8151 steps, improv/step: 0.185 (last = 0.0000), fitness=0.038104532
582.25 secs, 8281 evals, 8158 steps, improv/step: 0.185 (last = 0.0000), fitness=0.038104532
582.75 secs, 8288 evals, 8165 steps, improv/step: 0.185 (last = 0.1429), fitness=0.038104532
583.26 secs, 8295 evals, 8172 steps, improv/step: 0.185 (last = 0.0000), fitness=0.038104532
583.77 secs, 8302 evals, 8179 steps, improv/step: 0.185 (last = 0.1429), fitness=0.038104532
584.34 secs, 8310 evals, 8187 steps, improv/step: 0.185 (last = 0.0000), fitness=0.038104532
584.85 secs, 8317 evals, 8194 steps, improv/step: 0.185 (last = 0.0000), fitness=0.038104532
585.36 secs, 8324 evals, 8201 steps, improv/step: 0.184 (last = 0.0000), fitness=0.038104532
585.87 secs, 8331 evals, 8208 steps, improv/step: 0.184 (last = 0.1429), fitness=0.038104532
586.39 secs, 8338 evals, 8215 steps, improv/step: 0.184 (last = 0.0000), fitness=0.038104532
586.89 secs, 8345 evals, 8222 steps, improv/step: 0.184 (last = 0.2857), fitness=0.038104532
587.46 secs, 8353 evals, 8230 steps, improv/step: 0.184 (last = 0.1250), fitness=0.038104532
587.96 secs, 8360 evals, 8237 steps, improv/step: 0.184 (last = 0.2857), fitness=0.038104532
588.55 secs, 8368 evals, 8245 steps, improv/step: 0.184 (last = 0.0000), fitness=0.038104532
589.07 secs, 8375 evals, 8252 steps, improv/step: 0.184 (last = 0.2857), fitness=0.038104532
589.63 secs, 8383 evals, 8260 steps, improv/step: 0.184 (last = 0.2500), fitness=0.038104532
590.21 secs, 8391 evals, 8268 steps, improv/step: 0.184 (last = 0.2500), fitness=0.038104532
590.77 secs, 8399 evals, 8276 steps, improv/step: 0.184 (last = 0.0000), fitness=0.038104532
591.33 secs, 8407 evals, 8284 steps, improv/step: 0.184 (last = 0.0000), fitness=0.038104532
591.84 secs, 8414 evals, 8291 steps, improv/step: 0.184 (last = 0.1429), fitness=0.038104532
592.42 secs, 8422 evals, 8299 steps, improv/step: 0.184 (last = 0.2500), fitness=0.038104532
592.92 secs, 8429 evals, 8306 steps, improv/step: 0.184 (last = 0.1429), fitness=0.038104532
593.49 secs, 8437 evals, 8314 steps, improv/step: 0.184 (last = 0.1250), fitness=0.038104532
593.99 secs, 8444 evals, 8321 steps, improv/step: 0.184 (last = 0.2857), fitness=0.038104532
594.55 secs, 8452 evals, 8329 steps, improv/step: 0.184 (last = 0.1250), fitness=0.038104532
595.12 secs, 8460 evals, 8337 steps, improv/step: 0.184 (last = 0.2500), fitness=0.038104532
595.69 secs, 8468 evals, 8345 steps, improv/step: 0.184 (last = 0.1250), fitness=0.038104532
596.25 secs, 8476 evals, 8353 steps, improv/step: 0.184 (last = 0.1250), fitness=0.038104532
596.82 secs, 8484 evals, 8361 steps, improv/step: 0.184 (last = 0.2500), fitness=0.038104532
597.38 secs, 8492 evals, 8369 steps, improv/step: 0.184 (last = 0.0000), fitness=0.038104532
597.94 secs, 8500 evals, 8377 steps, improv/step: 0.184 (last = 0.0000), fitness=0.038104532
598.52 secs, 8508 evals, 8385 steps, improv/step: 0.184 (last = 0.1250), fitness=0.038104532
599.07 secs, 8516 evals, 8393 steps, improv/step: 0.183 (last = 0.1250), fitness=0.038104532
599.62 secs, 8524 evals, 8401 steps, improv/step: 0.184 (last = 0.3750), fitness=0.038104532
600.19 secs, 8532 evals, 8409 steps, improv/step: 0.184 (last = 0.1250), fitness=0.038104532
600.75 secs, 8540 evals, 8417 steps, improv/step: 0.183 (last = 0.0000), fitness=0.038104532
601.30 secs, 8548 evals, 8425 steps, improv/step: 0.183 (last = 0.0000), fitness=0.038104532
601.86 secs, 8556 evals, 8433 steps, improv/step: 0.183 (last = 0.2500), fitness=0.038104532
602.39 secs, 8564 evals, 8441 steps, improv/step: 0.184 (last = 0.3750), fitness=0.038104532
602.90 secs, 8571 evals, 8448 steps, improv/step: 0.184 (last = 0.2857), fitness=0.038104532
603.41 secs, 8578 evals, 8455 steps, improv/step: 0.184 (last = 0.4286), fitness=0.038104532
603.93 secs, 8585 evals, 8462 steps, improv/step: 0.184 (last = 0.1429), fitness=0.038104532
604.49 secs, 8593 evals, 8470 steps, improv/step: 0.184 (last = 0.2500), fitness=0.038104532
605.01 secs, 8600 evals, 8477 steps, improv/step: 0.184 (last = 0.0000), fitness=0.038104532
605.52 secs, 8607 evals, 8484 steps, improv/step: 0.184 (last = 0.2857), fitness=0.038104532
606.03 secs, 8614 evals, 8491 steps, improv/step: 0.184 (last = 0.2857), fitness=0.038104532
606.54 secs, 8621 evals, 8498 steps, improv/step: 0.184 (last = 0.2857), fitness=0.038104532
607.06 secs, 8628 evals, 8505 steps, improv/step: 0.184 (last = 0.4286), fitness=0.038104532
607.63 secs, 8636 evals, 8513 steps, improv/step: 0.184 (last = 0.0000), fitness=0.038104532
608.14 secs, 8643 evals, 8520 steps, improv/step: 0.184 (last = 0.0000), fitness=0.038104532
608.65 secs, 8650 evals, 8527 steps, improv/step: 0.184 (last = 0.1429), fitness=0.038104532
609.17 secs, 8657 evals, 8535 steps, improv/step: 0.184 (last = 0.0000), fitness=0.038104532
609.68 secs, 8664 evals, 8542 steps, improv/step: 0.184 (last = 0.1429), fitness=0.038104532
610.18 secs, 8671 evals, 8549 steps, improv/step: 0.184 (last = 0.1429), fitness=0.038104532
610.74 secs, 8679 evals, 8557 steps, improv/step: 0.183 (last = 0.0000), fitness=0.038104532
611.30 secs, 8687 evals, 8565 steps, improv/step: 0.184 (last = 0.5000), fitness=0.038104532
611.87 secs, 8695 evals, 8573 steps, improv/step: 0.184 (last = 0.2500), fitness=0.038104532
612.38 secs, 8702 evals, 8580 steps, improv/step: 0.184 (last = 0.0000), fitness=0.038104532
612.95 secs, 8710 evals, 8588 steps, improv/step: 0.184 (last = 0.2500), fitness=0.038104532
613.51 secs, 8718 evals, 8596 steps, improv/step: 0.184 (last = 0.1250), fitness=0.038104532
614.04 secs, 8726 evals, 8604 steps, improv/step: 0.183 (last = 0.0000), fitness=0.038104532
614.55 secs, 8733 evals, 8611 steps, improv/step: 0.183 (last = 0.0000), fitness=0.038104532
615.11 secs, 8741 evals, 8619 steps, improv/step: 0.183 (last = 0.2500), fitness=0.038104532
615.66 secs, 8749 evals, 8627 steps, improv/step: 0.183 (last = 0.1250), fitness=0.038104532
616.22 secs, 8757 evals, 8635 steps, improv/step: 0.183 (last = 0.1250), fitness=0.038104532
616.78 secs, 8765 evals, 8643 steps, improv/step: 0.183 (last = 0.2500), fitness=0.038104532
617.33 secs, 8773 evals, 8651 steps, improv/step: 0.183 (last = 0.3750), fitness=0.038104532
617.90 secs, 8781 evals, 8659 steps, improv/step: 0.183 (last = 0.0000), fitness=0.038104532
618.40 secs, 8788 evals, 8666 steps, improv/step: 0.183 (last = 0.4286), fitness=0.038104532
618.97 secs, 8796 evals, 8674 steps, improv/step: 0.183 (last = 0.1250), fitness=0.038104532
619.54 secs, 8803 evals, 8681 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
620.06 secs, 8810 evals, 8688 steps, improv/step: 0.183 (last = 0.0000), fitness=0.038104532
620.58 secs, 8817 evals, 8695 steps, improv/step: 0.183 (last = 0.0000), fitness=0.038104532
621.15 secs, 8825 evals, 8703 steps, improv/step: 0.183 (last = 0.0000), fitness=0.038104532
621.66 secs, 8832 evals, 8710 steps, improv/step: 0.183 (last = 0.2857), fitness=0.038104532
622.18 secs, 8839 evals, 8717 steps, improv/step: 0.183 (last = 0.2857), fitness=0.038104532
622.69 secs, 8846 evals, 8724 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
623.19 secs, 8853 evals, 8731 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
623.70 secs, 8860 evals, 8738 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
624.27 secs, 8868 evals, 8746 steps, improv/step: 0.183 (last = 0.0000), fitness=0.038104532
624.77 secs, 8875 evals, 8753 steps, improv/step: 0.183 (last = 0.2857), fitness=0.038104532
625.29 secs, 8882 evals, 8760 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
625.80 secs, 8889 evals, 8767 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
626.34 secs, 8896 evals, 8774 steps, improv/step: 0.183 (last = 0.0000), fitness=0.038104532
626.86 secs, 8903 evals, 8781 steps, improv/step: 0.183 (last = 0.2857), fitness=0.038104532
627.38 secs, 8910 evals, 8788 steps, improv/step: 0.183 (last = 0.2857), fitness=0.038104532
627.88 secs, 8917 evals, 8795 steps, improv/step: 0.183 (last = 0.2857), fitness=0.038104532
628.41 secs, 8923 evals, 8801 steps, improv/step: 0.183 (last = 0.3333), fitness=0.038104532
628.92 secs, 8929 evals, 8807 steps, improv/step: 0.183 (last = 0.0000), fitness=0.038104532
629.43 secs, 8936 evals, 8814 steps, improv/step: 0.183 (last = 0.0000), fitness=0.038104532
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630.45 secs, 8950 evals, 8828 steps, improv/step: 0.183 (last = 0.0000), fitness=0.038104532
630.96 secs, 8957 evals, 8835 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
631.46 secs, 8964 evals, 8842 steps, improv/step: 0.183 (last = 0.4286), fitness=0.038104532
631.97 secs, 8971 evals, 8849 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
632.50 secs, 8977 evals, 8855 steps, improv/step: 0.183 (last = 0.0000), fitness=0.038104532
633.01 secs, 8984 evals, 8862 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
633.51 secs, 8991 evals, 8869 steps, improv/step: 0.183 (last = 0.2857), fitness=0.038104532
634.02 secs, 8998 evals, 8876 steps, improv/step: 0.183 (last = 0.0000), fitness=0.038104532
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635.03 secs, 9012 evals, 8890 steps, improv/step: 0.182 (last = 0.2857), fitness=0.038104532
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636.06 secs, 9026 evals, 8904 steps, improv/step: 0.183 (last = 0.2857), fitness=0.038104532
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637.09 secs, 9040 evals, 8918 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
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638.11 secs, 9054 evals, 8932 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
638.67 secs, 9061 evals, 8939 steps, improv/step: 0.183 (last = 0.4286), fitness=0.038104532
639.18 secs, 9068 evals, 8946 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
639.69 secs, 9075 evals, 8953 steps, improv/step: 0.183 (last = 0.2857), fitness=0.038104532
640.19 secs, 9082 evals, 8960 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
640.69 secs, 9089 evals, 8967 steps, improv/step: 0.183 (last = 0.0000), fitness=0.038104532
641.21 secs, 9096 evals, 8974 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
641.71 secs, 9103 evals, 8981 steps, improv/step: 0.182 (last = 0.0000), fitness=0.038104532
642.21 secs, 9110 evals, 8988 steps, improv/step: 0.183 (last = 0.2857), fitness=0.038104532
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643.23 secs, 9124 evals, 9002 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
643.74 secs, 9131 evals, 9009 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
644.25 secs, 9138 evals, 9016 steps, improv/step: 0.183 (last = 0.4286), fitness=0.038104532
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645.25 secs, 9152 evals, 9030 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
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646.85 secs, 9174 evals, 9052 steps, improv/step: 0.183 (last = 0.1250), fitness=0.038104532
647.41 secs, 9182 evals, 9060 steps, improv/step: 0.182 (last = 0.0000), fitness=0.038104532
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648.49 secs, 9197 evals, 9075 steps, improv/step: 0.182 (last = 0.2500), fitness=0.038104532
649.06 secs, 9205 evals, 9083 steps, improv/step: 0.182 (last = 0.0000), fitness=0.038104532
649.56 secs, 9212 evals, 9090 steps, improv/step: 0.182 (last = 0.1429), fitness=0.038104532
650.13 secs, 9220 evals, 9098 steps, improv/step: 0.182 (last = 0.0000), fitness=0.038104532
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651.16 secs, 9234 evals, 9112 steps, improv/step: 0.182 (last = 0.0000), fitness=0.038104532
651.68 secs, 9241 evals, 9119 steps, improv/step: 0.181 (last = 0.0000), fitness=0.038104532
652.18 secs, 9248 evals, 9126 steps, improv/step: 0.181 (last = 0.1429), fitness=0.038104532
652.69 secs, 9255 evals, 9133 steps, improv/step: 0.182 (last = 0.2857), fitness=0.038104532
653.19 secs, 9262 evals, 9140 steps, improv/step: 0.181 (last = 0.0000), fitness=0.038104532
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654.26 secs, 9277 evals, 9155 steps, improv/step: 0.182 (last = 0.4286), fitness=0.038104532
654.77 secs, 9284 evals, 9162 steps, improv/step: 0.182 (last = 0.0000), fitness=0.038104532
655.34 secs, 9292 evals, 9170 steps, improv/step: 0.182 (last = 0.6250), fitness=0.038104532
655.91 secs, 9300 evals, 9178 steps, improv/step: 0.182 (last = 0.1250), fitness=0.038104532
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657.42 secs, 9321 evals, 9199 steps, improv/step: 0.182 (last = 0.1429), fitness=0.038104532
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658.98 secs, 9342 evals, 9220 steps, improv/step: 0.182 (last = 0.4286), fitness=0.038104532
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660.01 secs, 9356 evals, 9234 steps, improv/step: 0.182 (last = 0.1429), fitness=0.038104532
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661.03 secs, 9370 evals, 9248 steps, improv/step: 0.182 (last = 0.2857), fitness=0.038104532
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662.05 secs, 9384 evals, 9262 steps, improv/step: 0.182 (last = 0.1429), fitness=0.038104532
662.62 secs, 9392 evals, 9270 steps, improv/step: 0.182 (last = 0.2500), fitness=0.038104532
663.13 secs, 9399 evals, 9277 steps, improv/step: 0.182 (last = 0.1429), fitness=0.038104532
663.63 secs, 9406 evals, 9284 steps, improv/step: 0.182 (last = 0.1429), fitness=0.038104532
664.14 secs, 9413 evals, 9291 steps, improv/step: 0.182 (last = 0.2857), fitness=0.038104532
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665.16 secs, 9427 evals, 9305 steps, improv/step: 0.182 (last = 0.2857), fitness=0.038104532
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667.25 secs, 9455 evals, 9333 steps, improv/step: 0.182 (last = 0.4286), fitness=0.038104532
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668.25 secs, 9469 evals, 9347 steps, improv/step: 0.182 (last = 0.1429), fitness=0.038104532
668.82 secs, 9477 evals, 9355 steps, improv/step: 0.182 (last = 0.1250), fitness=0.038104532
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670.39 secs, 9499 evals, 9377 steps, improv/step: 0.182 (last = 0.2500), fitness=0.038104532
670.95 secs, 9507 evals, 9385 steps, improv/step: 0.182 (last = 0.2500), fitness=0.038104532
671.46 secs, 9514 evals, 9392 steps, improv/step: 0.182 (last = 0.1429), fitness=0.038104532
672.02 secs, 9522 evals, 9400 steps, improv/step: 0.182 (last = 0.1250), fitness=0.038104532
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673.13 secs, 9538 evals, 9416 steps, improv/step: 0.182 (last = 0.2500), fitness=0.038104532
673.68 secs, 9546 evals, 9424 steps, improv/step: 0.182 (last = 0.1250), fitness=0.038104532
674.24 secs, 9554 evals, 9432 steps, improv/step: 0.182 (last = 0.0000), fitness=0.038104532
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675.30 secs, 9569 evals, 9447 steps, improv/step: 0.182 (last = 0.1250), fitness=0.038104532
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676.44 secs, 9585 evals, 9463 steps, improv/step: 0.182 (last = 0.3750), fitness=0.038104532
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678.14 secs, 9609 evals, 9487 steps, improv/step: 0.182 (last = 0.1250), fitness=0.038104532
678.71 secs, 9617 evals, 9495 steps, improv/step: 0.182 (last = 0.2500), fitness=0.038104532
679.22 secs, 9624 evals, 9502 steps, improv/step: 0.182 (last = 0.0000), fitness=0.038104532
679.73 secs, 9631 evals, 9509 steps, improv/step: 0.182 (last = 0.2857), fitness=0.038104532
680.30 secs, 9639 evals, 9517 steps, improv/step: 0.182 (last = 0.1250), fitness=0.038104532
680.80 secs, 9646 evals, 9524 steps, improv/step: 0.181 (last = 0.0000), fitness=0.038104532
681.32 secs, 9653 evals, 9531 steps, improv/step: 0.181 (last = 0.1429), fitness=0.038104532
681.85 secs, 9660 evals, 9538 steps, improv/step: 0.181 (last = 0.2857), fitness=0.038104532
682.35 secs, 9667 evals, 9545 steps, improv/step: 0.182 (last = 0.5714), fitness=0.038104532
682.85 secs, 9674 evals, 9552 steps, improv/step: 0.182 (last = 0.0000), fitness=0.038104532
683.35 secs, 9681 evals, 9559 steps, improv/step: 0.182 (last = 0.2857), fitness=0.038104532
683.92 secs, 9689 evals, 9567 steps, improv/step: 0.182 (last = 0.1250), fitness=0.038104532
684.43 secs, 9696 evals, 9574 steps, improv/step: 0.182 (last = 0.0000), fitness=0.038104532
684.96 secs, 9703 evals, 9581 steps, improv/step: 0.181 (last = 0.0000), fitness=0.038104532
685.46 secs, 9710 evals, 9588 steps, improv/step: 0.181 (last = 0.1429), fitness=0.038104532
685.96 secs, 9717 evals, 9595 steps, improv/step: 0.181 (last = 0.1429), fitness=0.038104532
686.48 secs, 9724 evals, 9602 steps, improv/step: 0.181 (last = 0.0000), fitness=0.038104532
687.00 secs, 9731 evals, 9609 steps, improv/step: 0.181 (last = 0.1429), fitness=0.038104532
687.57 secs, 9739 evals, 9617 steps, improv/step: 0.181 (last = 0.1250), fitness=0.038104532
688.07 secs, 9746 evals, 9624 steps, improv/step: 0.181 (last = 0.2857), fitness=0.038104532
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689.20 secs, 9762 evals, 9640 steps, improv/step: 0.181 (last = 0.0000), fitness=0.038104532
689.71 secs, 9769 evals, 9647 steps, improv/step: 0.181 (last = 0.2857), fitness=0.038104532
690.21 secs, 9776 evals, 9654 steps, improv/step: 0.181 (last = 0.2857), fitness=0.038104532
690.78 secs, 9784 evals, 9662 steps, improv/step: 0.181 (last = 0.0000), fitness=0.038104532
691.36 secs, 9792 evals, 9670 steps, improv/step: 0.181 (last = 0.3750), fitness=0.038104532
691.86 secs, 9799 evals, 9677 steps, improv/step: 0.181 (last = 0.1429), fitness=0.038104532
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694.02 secs, 9829 evals, 9707 steps, improv/step: 0.181 (last = 0.0000), fitness=0.038104532
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695.10 secs, 9844 evals, 9722 steps, improv/step: 0.181 (last = 0.1429), fitness=0.038104532
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698.30 secs, 9888 evals, 9766 steps, improv/step: 0.181 (last = 0.1429), fitness=0.038104532
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699.43 secs, 9904 evals, 9782 steps, improv/step: 0.181 (last = 0.0000), fitness=0.038104532
699.94 secs, 9911 evals, 9789 steps, improv/step: 0.181 (last = 0.1429), fitness=0.038104532
700.44 secs, 9918 evals, 9796 steps, improv/step: 0.181 (last = 0.2857), fitness=0.038104532
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701.45 secs, 9932 evals, 9810 steps, improv/step: 0.181 (last = 0.0000), fitness=0.038104532
701.95 secs, 9939 evals, 9817 steps, improv/step: 0.181 (last = 0.0000), fitness=0.038104532
702.50 secs, 9946 evals, 9824 steps, improv/step: 0.181 (last = 0.0000), fitness=0.038104532
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704.07 secs, 9968 evals, 9846 steps, improv/step: 0.181 (last = 0.0000), fitness=0.038104532
704.57 secs, 9975 evals, 9853 steps, improv/step: 0.181 (last = 0.4286), fitness=0.038104532
705.08 secs, 9982 evals, 9860 steps, improv/step: 0.181 (last = 0.0000), fitness=0.038104532
705.61 secs, 9989 evals, 9867 steps, improv/step: 0.181 (last = 0.1429), fitness=0.038104532
706.12 secs, 9996 evals, 9874 steps, improv/step: 0.181 (last = 0.0000), fitness=0.038104532
706.62 secs, 10003 evals, 9881 steps, improv/step: 0.181 (last = 0.2857), fitness=0.038104532
707.19 secs, 10011 evals, 9889 steps, improv/step: 0.181 (last = 0.2500), fitness=0.038104532
707.70 secs, 10018 evals, 9896 steps, improv/step: 0.181 (last = 0.0000), fitness=0.038104532
708.23 secs, 10025 evals, 9903 steps, improv/step: 0.181 (last = 0.2857), fitness=0.038104532
708.80 secs, 10033 evals, 9911 steps, improv/step: 0.181 (last = 0.1250), fitness=0.038104532
709.37 secs, 10041 evals, 9919 steps, improv/step: 0.181 (last = 0.1250), fitness=0.038104532
709.88 secs, 10048 evals, 9926 steps, improv/step: 0.181 (last = 0.2857), fitness=0.038104532
710.39 secs, 10055 evals, 9933 steps, improv/step: 0.181 (last = 0.1429), fitness=0.038104532
710.91 secs, 10062 evals, 9940 steps, improv/step: 0.181 (last = 0.2857), fitness=0.038104532
711.44 secs, 10069 evals, 9947 steps, improv/step: 0.181 (last = 0.2857), fitness=0.038104532
711.96 secs, 10076 evals, 9954 steps, improv/step: 0.181 (last = 0.2857), fitness=0.038104532
712.47 secs, 10083 evals, 9961 steps, improv/step: 0.181 (last = 0.2857), fitness=0.038104532
712.99 secs, 10090 evals, 9968 steps, improv/step: 0.181 (last = 0.2857), fitness=0.038104532
713.50 secs, 10097 evals, 9975 steps, improv/step: 0.181 (last = 0.2857), fitness=0.038104532
714.01 secs, 10104 evals, 9982 steps, improv/step: 0.181 (last = 0.1429), fitness=0.038104532
714.52 secs, 10111 evals, 9989 steps, improv/step: 0.181 (last = 0.1429), fitness=0.038104532
715.05 secs, 10118 evals, 9996 steps, improv/step: 0.181 (last = 0.1429), fitness=0.038104532
715.55 secs, 10125 evals, 10003 steps, improv/step: 0.181 (last = 0.1429), fitness=0.038104532
716.10 secs, 10132 evals, 10010 steps, improv/step: 0.181 (last = 0.0000), fitness=0.038104532
716.60 secs, 10139 evals, 10017 steps, improv/step: 0.181 (last = 0.2857), fitness=0.038104532
717.11 secs, 10146 evals, 10024 steps, improv/step: 0.182 (last = 0.5714), fitness=0.038104532
717.61 secs, 10153 evals, 10031 steps, improv/step: 0.181 (last = 0.0000), fitness=0.038104532
718.12 secs, 10160 evals, 10038 steps, improv/step: 0.181 (last = 0.0000), fitness=0.038104532
718.62 secs, 10167 evals, 10045 steps, improv/step: 0.181 (last = 0.2857), fitness=0.038104532
719.12 secs, 10174 evals, 10052 steps, improv/step: 0.182 (last = 0.4286), fitness=0.038104532
719.63 secs, 10181 evals, 10059 steps, improv/step: 0.182 (last = 0.2857), fitness=0.038104532
720.13 secs, 10188 evals, 10066 steps, improv/step: 0.182 (last = 0.2857), fitness=0.038104532
720.70 secs, 10196 evals, 10074 steps, improv/step: 0.182 (last = 0.3750), fitness=0.038104532
721.27 secs, 10204 evals, 10082 steps, improv/step: 0.182 (last = 0.5000), fitness=0.038104532
721.77 secs, 10211 evals, 10089 steps, improv/step: 0.182 (last = 0.0000), fitness=0.038104532
722.28 secs, 10218 evals, 10096 steps, improv/step: 0.182 (last = 0.1429), fitness=0.038104532
722.82 secs, 10224 evals, 10102 steps, improv/step: 0.182 (last = 0.0000), fitness=0.038104532
723.37 secs, 10230 evals, 10108 steps, improv/step: 0.182 (last = 0.1667), fitness=0.038104532
723.95 secs, 10236 evals, 10114 steps, improv/step: 0.182 (last = 0.3333), fitness=0.038104532
724.51 secs, 10242 evals, 10120 steps, improv/step: 0.182 (last = 0.3333), fitness=0.038104532
725.07 secs, 10248 evals, 10126 steps, improv/step: 0.182 (last = 0.0000), fitness=0.038104532
725.63 secs, 10254 evals, 10132 steps, improv/step: 0.182 (last = 0.0000), fitness=0.038104532
726.16 secs, 10260 evals, 10138 steps, improv/step: 0.182 (last = 0.1667), fitness=0.038104532
726.73 secs, 10268 evals, 10146 steps, improv/step: 0.182 (last = 0.3750), fitness=0.038104532
727.29 secs, 10276 evals, 10154 steps, improv/step: 0.182 (last = 0.2500), fitness=0.038104532
727.86 secs, 10284 evals, 10162 steps, improv/step: 0.182 (last = 0.1250), fitness=0.038104532
728.42 secs, 10292 evals, 10170 steps, improv/step: 0.182 (last = 0.2500), fitness=0.038104532
728.98 secs, 10300 evals, 10178 steps, improv/step: 0.182 (last = 0.2500), fitness=0.038104532
729.48 secs, 10307 evals, 10185 steps, improv/step: 0.182 (last = 0.2857), fitness=0.038104532
729.99 secs, 10314 evals, 10192 steps, improv/step: 0.182 (last = 0.1429), fitness=0.038104532
730.50 secs, 10321 evals, 10199 steps, improv/step: 0.182 (last = 0.0000), fitness=0.038104532
731.01 secs, 10328 evals, 10206 steps, improv/step: 0.182 (last = 0.1429), fitness=0.038104532
731.57 secs, 10336 evals, 10214 steps, improv/step: 0.182 (last = 0.3750), fitness=0.038104532
732.08 secs, 10343 evals, 10221 steps, improv/step: 0.182 (last = 0.1429), fitness=0.038104532
732.64 secs, 10351 evals, 10229 steps, improv/step: 0.182 (last = 0.1250), fitness=0.038104532
733.14 secs, 10358 evals, 10236 steps, improv/step: 0.182 (last = 0.2857), fitness=0.038104532
733.71 secs, 10366 evals, 10244 steps, improv/step: 0.182 (last = 0.0000), fitness=0.038104532
734.27 secs, 10374 evals, 10252 steps, improv/step: 0.182 (last = 0.2500), fitness=0.038104532
734.78 secs, 10381 evals, 10259 steps, improv/step: 0.182 (last = 0.5714), fitness=0.038104532
735.28 secs, 10388 evals, 10266 steps, improv/step: 0.182 (last = 0.2857), fitness=0.038104532
735.78 secs, 10395 evals, 10273 steps, improv/step: 0.182 (last = 0.2857), fitness=0.038104532
736.30 secs, 10402 evals, 10280 steps, improv/step: 0.182 (last = 0.0000), fitness=0.038104532
736.81 secs, 10409 evals, 10287 steps, improv/step: 0.182 (last = 0.0000), fitness=0.038104532
737.31 secs, 10416 evals, 10294 steps, improv/step: 0.182 (last = 0.0000), fitness=0.038104532
737.82 secs, 10423 evals, 10301 steps, improv/step: 0.182 (last = 0.1429), fitness=0.038104532
738.39 secs, 10431 evals, 10309 steps, improv/step: 0.182 (last = 0.2500), fitness=0.038104532
738.89 secs, 10438 evals, 10316 steps, improv/step: 0.182 (last = 0.4286), fitness=0.038104532
739.40 secs, 10445 evals, 10323 steps, improv/step: 0.182 (last = 0.1429), fitness=0.038104532
739.90 secs, 10452 evals, 10330 steps, improv/step: 0.182 (last = 0.4286), fitness=0.038104532
740.40 secs, 10459 evals, 10337 steps, improv/step: 0.182 (last = 0.2857), fitness=0.038104532
740.91 secs, 10466 evals, 10344 steps, improv/step: 0.183 (last = 0.2857), fitness=0.038104532
741.43 secs, 10473 evals, 10351 steps, improv/step: 0.183 (last = 0.2857), fitness=0.038104532
741.95 secs, 10480 evals, 10358 steps, improv/step: 0.183 (last = 0.5714), fitness=0.038104532
742.45 secs, 10487 evals, 10365 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
742.96 secs, 10494 evals, 10372 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
743.46 secs, 10501 evals, 10379 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
743.96 secs, 10508 evals, 10386 steps, improv/step: 0.183 (last = 0.0000), fitness=0.038104532
744.47 secs, 10515 evals, 10393 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
744.98 secs, 10522 evals, 10400 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
745.49 secs, 10529 evals, 10407 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
746.00 secs, 10536 evals, 10414 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
746.51 secs, 10543 evals, 10421 steps, improv/step: 0.183 (last = 0.2857), fitness=0.038104532
747.07 secs, 10551 evals, 10429 steps, improv/step: 0.182 (last = 0.0000), fitness=0.038104532
747.58 secs, 10558 evals, 10436 steps, improv/step: 0.182 (last = 0.0000), fitness=0.038104532
748.09 secs, 10565 evals, 10443 steps, improv/step: 0.183 (last = 0.4286), fitness=0.038104532
748.59 secs, 10572 evals, 10450 steps, improv/step: 0.182 (last = 0.1429), fitness=0.038104532
749.10 secs, 10579 evals, 10457 steps, improv/step: 0.182 (last = 0.1429), fitness=0.038104532
749.61 secs, 10586 evals, 10464 steps, improv/step: 0.182 (last = 0.1429), fitness=0.038104532
750.11 secs, 10593 evals, 10471 steps, improv/step: 0.182 (last = 0.0000), fitness=0.038104532
750.68 secs, 10601 evals, 10479 steps, improv/step: 0.182 (last = 0.2500), fitness=0.038104532
751.19 secs, 10608 evals, 10486 steps, improv/step: 0.183 (last = 0.5714), fitness=0.038104532
751.70 secs, 10615 evals, 10493 steps, improv/step: 0.183 (last = 0.2857), fitness=0.038104532
752.21 secs, 10622 evals, 10500 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
752.73 secs, 10629 evals, 10507 steps, improv/step: 0.183 (last = 0.5714), fitness=0.038104532
753.28 secs, 10636 evals, 10514 steps, improv/step: 0.183 (last = 0.2857), fitness=0.038104532
753.78 secs, 10643 evals, 10521 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
754.35 secs, 10651 evals, 10529 steps, improv/step: 0.183 (last = 0.1250), fitness=0.038104532
754.86 secs, 10658 evals, 10536 steps, improv/step: 0.183 (last = 0.4286), fitness=0.038104532
755.43 secs, 10666 evals, 10544 steps, improv/step: 0.183 (last = 0.0000), fitness=0.038104532
755.93 secs, 10673 evals, 10551 steps, improv/step: 0.183 (last = 0.0000), fitness=0.038104532
756.46 secs, 10680 evals, 10558 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
756.97 secs, 10687 evals, 10565 steps, improv/step: 0.183 (last = 0.2857), fitness=0.038104532
757.47 secs, 10694 evals, 10572 steps, improv/step: 0.183 (last = 0.2857), fitness=0.038104532
758.04 secs, 10702 evals, 10580 steps, improv/step: 0.183 (last = 0.2500), fitness=0.038104532
758.60 secs, 10710 evals, 10588 steps, improv/step: 0.183 (last = 0.1250), fitness=0.038104532
759.11 secs, 10717 evals, 10595 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
759.68 secs, 10725 evals, 10603 steps, improv/step: 0.183 (last = 0.0000), fitness=0.038104532
760.25 secs, 10733 evals, 10611 steps, improv/step: 0.183 (last = 0.2500), fitness=0.038104532
760.75 secs, 10740 evals, 10618 steps, improv/step: 0.183 (last = 0.0000), fitness=0.038104532
761.26 secs, 10747 evals, 10625 steps, improv/step: 0.183 (last = 0.2857), fitness=0.038104532
761.77 secs, 10754 evals, 10632 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
762.27 secs, 10761 evals, 10639 steps, improv/step: 0.183 (last = 0.4286), fitness=0.038104532
762.84 secs, 10769 evals, 10647 steps, improv/step: 0.183 (last = 0.1250), fitness=0.038104532
763.40 secs, 10777 evals, 10655 steps, improv/step: 0.183 (last = 0.2500), fitness=0.038104532
763.96 secs, 10785 evals, 10663 steps, improv/step: 0.183 (last = 0.3750), fitness=0.038104532
764.53 secs, 10793 evals, 10671 steps, improv/step: 0.183 (last = 0.1250), fitness=0.038104532
765.07 secs, 10800 evals, 10678 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
765.57 secs, 10807 evals, 10685 steps, improv/step: 0.183 (last = 0.4286), fitness=0.038104532
766.14 secs, 10815 evals, 10693 steps, improv/step: 0.183 (last = 0.3750), fitness=0.038104532
766.64 secs, 10822 evals, 10700 steps, improv/step: 0.183 (last = 0.2857), fitness=0.038104532
767.20 secs, 10830 evals, 10708 steps, improv/step: 0.184 (last = 0.3750), fitness=0.038104532
767.70 secs, 10837 evals, 10715 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
768.27 secs, 10845 evals, 10723 steps, improv/step: 0.184 (last = 0.3750), fitness=0.038104532
768.83 secs, 10853 evals, 10731 steps, improv/step: 0.184 (last = 0.1250), fitness=0.038104532
769.38 secs, 10861 evals, 10739 steps, improv/step: 0.184 (last = 0.1250), fitness=0.038104532
769.95 secs, 10869 evals, 10747 steps, improv/step: 0.183 (last = 0.1250), fitness=0.038104532
770.51 secs, 10877 evals, 10755 steps, improv/step: 0.184 (last = 0.2500), fitness=0.038104532
771.06 secs, 10885 evals, 10763 steps, improv/step: 0.183 (last = 0.1250), fitness=0.038104532
771.63 secs, 10893 evals, 10771 steps, improv/step: 0.183 (last = 0.1250), fitness=0.038104532
772.19 secs, 10901 evals, 10779 steps, improv/step: 0.183 (last = 0.1250), fitness=0.038104532
772.75 secs, 10909 evals, 10787 steps, improv/step: 0.183 (last = 0.1250), fitness=0.038104532
773.32 secs, 10917 evals, 10795 steps, improv/step: 0.184 (last = 0.3750), fitness=0.038104532
773.82 secs, 10924 evals, 10802 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
774.33 secs, 10931 evals, 10809 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
774.89 secs, 10939 evals, 10817 steps, improv/step: 0.183 (last = 0.1250), fitness=0.038104532
775.46 secs, 10947 evals, 10825 steps, improv/step: 0.183 (last = 0.1250), fitness=0.038104532
775.97 secs, 10954 evals, 10832 steps, improv/step: 0.183 (last = 0.2857), fitness=0.038104532
776.48 secs, 10961 evals, 10839 steps, improv/step: 0.183 (last = 0.1429), fitness=0.038104532
776.98 secs, 10968 evals, 10846 steps, improv/step: 0.184 (last = 0.4286), fitness=0.038104532
777.49 secs, 10975 evals, 10853 steps, improv/step: 0.184 (last = 0.1429), fitness=0.038104532
778.05 secs, 10983 evals, 10861 steps, improv/step: 0.184 (last = 0.1250), fitness=0.038104532
778.61 secs, 10991 evals, 10869 steps, improv/step: 0.184 (last = 0.3750), fitness=0.038104532
779.18 secs, 10999 evals, 10877 steps, improv/step: 0.184 (last = 0.3750), fitness=0.038104532
779.68 secs, 11006 evals, 10884 steps, improv/step: 0.184 (last = 0.2857), fitness=0.038104532
780.18 secs, 11013 evals, 10891 steps, improv/step: 0.184 (last = 0.1429), fitness=0.038104532
780.70 secs, 11020 evals, 10898 steps, improv/step: 0.184 (last = 0.4286), fitness=0.038104532
781.21 secs, 11027 evals, 10905 steps, improv/step: 0.184 (last = 0.1429), fitness=0.038104532
781.71 secs, 11034 evals, 10912 steps, improv/step: 0.184 (last = 0.2857), fitness=0.038104532
782.28 secs, 11042 evals, 10920 steps, improv/step: 0.184 (last = 0.1250), fitness=0.038104532
782.80 secs, 11049 evals, 10927 steps, improv/step: 0.184 (last = 0.2857), fitness=0.038104532
783.30 secs, 11056 evals, 10934 steps, improv/step: 0.184 (last = 0.2857), fitness=0.038104532
783.86 secs, 11064 evals, 10942 steps, improv/step: 0.184 (last = 0.1250), fitness=0.038104532
784.42 secs, 11072 evals, 10950 steps, improv/step: 0.184 (last = 0.6250), fitness=0.038104532
784.93 secs, 11079 evals, 10957 steps, improv/step: 0.184 (last = 0.1429), fitness=0.038104532
785.50 secs, 11087 evals, 10965 steps, improv/step: 0.184 (last = 0.0000), fitness=0.038104532
786.00 secs, 11094 evals, 10972 steps, improv/step: 0.184 (last = 0.5714), fitness=0.038104532
786.50 secs, 11101 evals, 10979 steps, improv/step: 0.184 (last = 0.0000), fitness=0.038104532
787.08 secs, 11109 evals, 10987 steps, improv/step: 0.184 (last = 0.1250), fitness=0.038104532
787.62 secs, 11116 evals, 10994 steps, improv/step: 0.184 (last = 0.1429), fitness=0.038104532

Optimization stopped after 11001 steps and 788.10 seconds
Termination reason: Max number of steps (11000) reached
Steps per second = 13.96
Function evals per second = 14.11
Improvements/step = 0.18427
Total function evaluations = 11123


Best candidate found: [1.50011, 2.99959]

Fitness: 0.038104532

┌ 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}, Int64, Nothing, Nothing})(sol::ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, Nothing, ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, var"##157"{var"###ParameterizedDiffEqFunction#159", var"###ParameterizedTGradFunction#160", var"###ParameterizedJacobianFunction#161", 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"##157"{var"###ParameterizedDiffEqFunction#159", var"###ParameterizedTGradFunction#160", var"###ParameterizedJacobianFunction#161", 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
┌ 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}, Int64, Nothing, Nothing})(sol::ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, Nothing, ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, var"##157"{var"###ParameterizedDiffEqFunction#159", var"###ParameterizedTGradFunction#160", var"###ParameterizedJacobianFunction#161", 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"##157"{var"###ParameterizedDiffEqFunction#159", var"###ParameterizedTGradFunction#160", var"###ParameterizedJacobianFunction#161", 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:89
└ @ Core ~/.julia/packages/DiffEqParamEstim/6z5Ou/src/cost_functions.jl:89
Starting optimization with optimizer DiffEvoOpt{FitPopulation{Float64}, RadiusLimitedSelector, BlackBoxOptim.AdaptiveDiffEvoRandBin{3}, RandomBound{ContinuousRectSearchSpace}}
0.00 secs, 0 evals, 0 steps
0.57 secs, 4 evals, 2 steps, fitness=872.597103881
1.15 secs, 8 evals, 4 steps, fitness=872.597103881
1.75 secs, 12 evals, 6 steps, improv/step: 0.333 (last = 1.0000), fitness=775.180004582
2.34 secs, 16 evals, 8 steps, improv/step: 0.250 (last = 0.0000), fitness=775.180004582
2.92 secs, 20 evals, 10 steps, improv/step: 0.300 (last = 0.5000), fitness=775.180004582
3.51 secs, 24 evals, 12 steps, improv/step: 0.417 (last = 1.0000), fitness=775.180004582
4.08 secs, 28 evals, 14 steps, improv/step: 0.429 (last = 0.5000), fitness=775.180004582
4.65 secs, 32 evals, 16 steps, improv/step: 0.438 (last = 0.5000), fitness=775.180004582
5.38 secs, 37 evals, 19 steps, improv/step: 0.421 (last = 0.3333), fitness=775.180004582
5.94 secs, 41 evals, 21 steps, improv/step: 0.429 (last = 0.5000), fitness=258.838816928
6.51 secs, 45 evals, 23 steps, improv/step: 0.435 (last = 0.5000), fitness=258.838816928
7.09 secs, 49 evals, 25 steps, improv/step: 0.440 (last = 0.5000), fitness=258.838816928
7.66 secs, 53 evals, 27 steps, improv/step: 0.444 (last = 0.5000), fitness=258.838816928
8.24 secs, 57 evals, 30 steps, improv/step: 0.467 (last = 0.6667), fitness=258.838816928
8.96 secs, 62 evals, 33 steps, improv/step: 0.485 (last = 0.6667), fitness=258.838816928
9.53 secs, 66 evals, 35 steps, improv/step: 0.514 (last = 1.0000), fitness=258.838816928
10.10 secs, 70 evals, 37 steps, improv/step: 0.486 (last = 0.0000), fitness=258.838816928
10.67 secs, 74 evals, 40 steps, improv/step: 0.500 (last = 0.6667), fitness=258.838816928
11.38 secs, 79 evals, 43 steps, improv/step: 0.488 (last = 0.3333), fitness=258.838816928
11.95 secs, 83 evals, 45 steps, improv/step: 0.511 (last = 1.0000), fitness=258.838816928
12.53 secs, 87 evals, 48 steps, improv/step: 0.479 (last = 0.0000), fitness=258.838816928
13.11 secs, 91 evals, 50 steps, improv/step: 0.480 (last = 0.5000), fitness=258.838816928
13.68 secs, 95 evals, 52 steps, improv/step: 0.462 (last = 0.0000), fitness=258.838816928
14.41 secs, 100 evals, 55 steps, improv/step: 0.455 (last = 0.3333), fitness=258.838816928
15.00 secs, 104 evals, 58 steps, improv/step: 0.431 (last = 0.0000), fitness=258.838816928
15.76 secs, 109 evals, 61 steps, improv/step: 0.426 (last = 0.3333), fitness=258.838816928
16.33 secs, 113 evals, 64 steps, improv/step: 0.438 (last = 0.6667), fitness=258.838816928
17.02 secs, 118 evals, 67 steps, improv/step: 0.433 (last = 0.3333), fitness=258.838816928
17.60 secs, 122 evals, 69 steps, improv/step: 0.420 (last = 0.0000), fitness=258.838816928
18.16 secs, 126 evals, 72 steps, improv/step: 0.417 (last = 0.3333), fitness=258.838816928
18.73 secs, 130 evals, 74 steps, improv/step: 0.419 (last = 0.5000), fitness=258.838816928
19.44 secs, 135 evals, 77 steps, improv/step: 0.429 (last = 0.6667), fitness=258.838816928
20.17 secs, 140 evals, 81 steps, improv/step: 0.444 (last = 0.7500), fitness=258.838816928
20.75 secs, 144 evals, 84 steps, improv/step: 0.464 (last = 1.0000), fitness=258.838816928

======================================================================================
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 57 running 1 of 1

signal (10): User defined signal 1
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_65563.1 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:1363 [inlined]
invokelatest_gr at ./reflection.jl:1357 [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:85
#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/TZ9Rx/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: 0x7952a8da8912) 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: 0x7952a8da5a22) 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: 0x7952a8d85998) 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:3003
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
_include at ./loading.jl:3063
include at ./Base.jl:310
IncludeInto at ./Base.jl:311
unknown function (ip: 0x7952a4a980d2) 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:730 [inlined]
top-level scope at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/test/runtests.jl:394
_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:3003
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
_include at ./loading.jl:3063
include at ./Base.jl:310
IncludeInto at ./Base.jl:311
jfptr_IncludeInto_42396.1 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_73133.1 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: 0x7952e3b15249) 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
==============================================================

22.11 secs, 146 evals, 85 steps, improv/step: 0.459 (last = 0.0000), fitness=258.838816928
======================================================================================
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_33345.1 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:1272
unknown function (ip: (nil)) at (unknown file)

┌ Warning: There were no samples collected in one or more groups.
│ This may be due to idle threads, or you may need to run your
│ program longer (perhaps by running it multiple times),
│ or adjust the delay between samples with `Profile.init()`.
└ @ Profile /opt/julia/share/julia/stdlib/v1.14/Profile/src/Profile.jl:1361

Overhead ╎ [+additional indent] Count File:Line  Function
=========================================================
Thread 1 (default) Task 0x00007952c99fc010 Total snapshots: 25. Utilization: 100%
  ╎25 @Base/client.jl:577  _start()
  ╎ 25 @Base/client.jl:310  exec_options(opts::Base.JLOptions)
  ╎  25 @Base/boot.jl:489  eval(m::Module, e::Any)
  ╎   25 @Base/Base.jl:311  (::Base.IncludeInto)(fname::String)
  ╎    25 @Base/Base.jl:310  include(mapexpr::Function, mod::Module, _path::Str…
  ╎     25 @Base/loading.jl:3063  _include(mapexpr::Function, mod::Module, _pat…
  ╎    ╎ 25 @Base/loading.jl:3003  include_string(mapexpr::typeof(identity), mo…
  ╎    ╎  25 @Base/boot.jl:489  eval(m::Module, e::Any)
  ╎    ╎   25 @DiffEqParamEstim/…jl:394  top-level scope
  ╎    ╎    25 @Base/timing.jl:730  macro expansion
  ╎    ╎     25 @DiffEqParamEstim/…jl:4  macro expansion
  ╎    ╎    ╎ 25 @Test/src/Test.jl:1961  macro expansion
  ╎    ╎    ╎  25 @DiffEqParamEstim/…l:5  macro expansion
  ╎    ╎    ╎   25 @Base/Base.jl:311  (::Base.IncludeInto)(fname::String)
  ╎    ╎    ╎    25 @Base/Base.jl:310  include(mapexpr::Function, mod::Module, …
  ╎    ╎    ╎     25 @Base/loading.jl:3063  _include(mapexpr::Function, mod::Mo…
  ╎    ╎    ╎    ╎ 25 @Base/loading.jl:3003  include_string(mapexpr::typeof(ide…
  ╎    ╎    ╎    ╎  25 @Base/boot.jl:489  eval(m::Module, e::Any)
  ╎    ╎    ╎    ╎   25 @BlackBoxOptim/…l:91  kwcall(::@NamedTuple{SearchRange:…
  ╎    ╎    ╎    ╎    25 @BlackBoxOptim/…l:91  bboptimize
  ╎    ╎    ╎    ╎     25 @BlackBoxOptim/…:93  bboptimize(functionOrProblem::Op…
  ╎    ╎    ╎    ╎    ╎ 25 @BlackBoxOptim/…:470  run!(oc::BlackBoxOptim.OptCont…
  ╎    ╎    ╎    ╎    ╎  25 @BlackBoxOptim/…:321  run!(ctrl::BlackBoxOptim.OptR…
  ╎    ╎    ╎    ╎    ╎   25 @BlackBoxOptim/…:274  step!
  ╎    ╎    ╎    ╎    ╎    25 @BlackBoxOptim/…:183  rank_by_fitness!
  ╎    ╎    ╎    ╎    ╎     25 @BlackBoxOptim/…:51  update_fitness!
  ╎    ╎    ╎    ╎    ╎    ╎ 25 @BlackBoxOptim/…:51  #update_fitness!#48
  ╎    ╎    ╎    ╎    ╎    ╎  25 @BlackBoxOptim/…:41  update_fitness!
  ╎    ╎    ╎    ╎    ╎    ╎   25 @BlackBoxOptim/…:45  update_fitness!(f::Nothi…
  ╎    ╎    ╎    ╎    ╎    ╎    25 @BlackBoxOptim/…:23  update_fitness!
  ╎    ╎    ╎    ╎    ╎    ╎     25 @BlackBoxOptim/…:26  #update_fitness!#45
  ╎    ╎    ╎    ╎    ╎    ╎    ╎ 25 @BlackBoxOptim/…:150  fitness
  ╎    ╎    ╎    ╎    ╎    ╎    ╎  25 @BlackBoxOptim/…:61  fitness
  ╎    ╎    ╎    ╎    ╎    ╎    ╎   25 @SciMLBase/…:4258  OptimizationFunction
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    25 @DiffEqParamEstim/…:10  #37
  ╎    ╎    ╎    ╎    ╎    ╎    ╎     25 @DiffEqParamEstim/…:18  #37
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ 12 @DiffEqParamEstim/…:85  (::L2Loss{Vec…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  12 @Base/…ed.jl:215  getindex(VA::ODESo…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎   12 @Base/…ed.jl:252  depwarn
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎    12 @Base/…ed.jl:257  #depwarn#965
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎     12 @Base/…on.jl:1357  invokelatest_gr
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +1 12 @Base/…on.jl:1363  #invokelatest_…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +2 11 @Base/…ed.jl:266  _depwarn(msg::A…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +3 11 @Base/…ng.jl:401  macro expansion
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +4 11 @Base/…ed.jl:271  macro expansion
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 11 @Base/…ed.jl:291  firstcaller
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 11 @Base/…ed.jl:296  firstcaller
11╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 11 @Base/…es.jl:110  lookup(pointer:…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎ 13 @DiffEqParamEstim/…:89  (::L2Loss{Vec…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  13 @Base/…ed.jl:215  getindex(VA::ODESo…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎   13 @Base/…ed.jl:252  depwarn
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎    13 @Base/…ed.jl:257  #depwarn#965
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎     13 @Base/…on.jl:1357  invokelatest_gr
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +1 13 @Base/…on.jl:1363  #invokelatest_…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +2 13 @Base/…ed.jl:266  _depwarn(msg::A…
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +3 13 @Base/…ng.jl:401  macro expansion
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +4 1  @Base/…ed.jl:270  macro expansion
 1╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 1  @Base/…or.jl:124  backtrace()
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +4 12 @Base/…ed.jl:271  macro expansion
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +5 12 @Base/…ed.jl:291  firstcaller
  ╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +6 12 @Base/…ed.jl:296  firstcaller
12╎    ╎    ╎    ╎    ╎    ╎    ╎    ╎  +7 12 @Base/…es.jl:110  lookup(pointer:…

31.74 secs, 148 evals, 86 steps, improv/step: 0.453 (last = 0.0000), fitness=258.838816928

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

32.55 secs, 151 evals, 88 steps, improv/step: 0.455 (last = 0.5000), fitness=258.838816928
33.35 secs, 153 evals, 90 steps, improv/step: 0.456 (last = 0.5000), fitness=258.838816928
34.14 secs, 155 evals, 92 steps, improv/step: 0.457 (last = 0.5000), fitness=258.838816928
┌ 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:1361
Overhead ╎ [+additional indent] Count File:Line  Function
=========================================================
Thread 1 (default) Task 0x000076055e648970 Total snapshots: 548. Utilization: 0%
   ╎548 @Base/task.jl:1168  wait_forever()
547╎ 548 @Base/task.jl:1246  wait()

34.93 secs, 159 evals, 95 steps, improv/step: 0.442 (last = 0.0000), fitness=258.838816928
35.75 secs, 164 evals, 98 steps, improv/step: 0.439 (last = 0.3333), fitness=258.838816928
36.39 secs, 168 evals, 100 steps, improv/step: 0.440 (last = 0.5000), fitness=258.838816928
36.98 secs, 172 evals, 103 steps, improv/step: 0.437 (last = 0.3333), fitness=258.838816928
37.57 secs, 176 evals, 106 steps, improv/step: 0.443 (last = 0.6667), fitness=258.838816928
38.32 secs, 181 evals, 109 steps, improv/step: 0.450 (last = 0.6667), fitness=258.838816928
38.95 secs, 185 evals, 111 steps, improv/step: 0.459 (last = 1.0000), fitness=258.838816928
39.54 secs, 189 evals, 114 steps, improv/step: 0.465 (last = 0.6667), fitness=258.838816928
40.13 secs, 193 evals, 117 steps, improv/step: 0.470 (last = 0.6667), fitness=258.838816928
40.77 secs, 197 evals, 120 steps, improv/step: 0.475 (last = 0.6667), fitness=258.838816928

[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_33345.1 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:1272
unknown function (ip: (nil)) at (unknown file)
Allocations: 23941686 (Pool: 23940983; Big: 703); GC: 17

[57] signal 15: Terminated
in expression starting at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/test/tests_on_odes/l2loss_test.jl:20
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_65563.1 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:1363 [inlined]
invokelatest_gr at ./reflection.jl:1357 [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:89
#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/TZ9Rx/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: 0x7952a8da8912) 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: 0x7952a8da5a22) 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: 0x7952a8d85998) 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:3003
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
_include at ./loading.jl:3063
include at ./Base.jl:310
IncludeInto at ./Base.jl:311
unknown function (ip: 0x7952a4a980d2) 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:730 [inlined]
top-level scope at /home/pkgeval/.julia/packages/DiffEqParamEstim/6z5Ou/test/runtests.jl:394
_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:3003
_jl_invoke at /source/src/gf.c:4116 [inlined]
ijl_apply_generic at /source/src/gf.c:4313
_include at ./loading.jl:3063
include at ./Base.jl:310
IncludeInto at ./Base.jl:311
jfptr_IncludeInto_42396.1 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_73133.1 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: 0x7952e3b15249) 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: 595189461 (Pool: 595187847; Big: 1614); GC: 914

PkgEval terminated after 2735.01s: test duration exceeded the time limit