fixed replace bug and Libc missing

[floswald]

fixes issue #231

btw, the SaveParameters keyword does not produce any json as promised though, correct? that would be an interesting addition I think. thanks

julia> res = bboptimize(rosenbrock2d; SearchRange = (-5.0, 5.0), NumDimensions = 2, SaveFitnessTraceToCsv = true, SaveParameters = true, TraceMode = :verbose)
Starting optimization with optimizer DiffEvoOpt{FitPopulation{Float64}, RadiusLimitedSelector, BlackBoxOptim.AdaptiveDiffEvoRandBin{3}, RandomBound{ContinuousRectSearchSpace}}
0.00 secs, 0 evals, 0 steps
DE modify state:

Optimization stopped after 10001 steps and 0.01 seconds
Termination reason: Max number of steps (10000) reached
Steps per second = 1043178.09
Function evals per second = 1055486.36
Improvements/step = 0.20360
Total function evaluations = 10119


Best candidate found: [1.0, 1.0]

Fitness: 0.000000000

BlackBoxOptim.OptimizationResults("adaptive_de_rand_1_bin_radiuslimited", "Max number of steps (10000) reached", 10001, 1.707386782454165e9, 0.00958704948425293, ParamsDictChain[ParamsDictChain[Dict{Symbol, Any}(:NumDimensions => 2, :SearchRange => (-5.0, 5.0), :TraceMode => :verbose, :SaveParameters => true, :MaxSteps => 10000, :SaveFitnessTraceToCsv => true),Dict{Symbol, Any}()],Dict{Symbol, Any}(:CallbackInterval => -1.0, :TargetFitness => nothing, :TraceMode => :compact, :FitnessScheme => ScalarFitnessScheme{true}(), :MinDeltaFitnessTolerance => 1.0e-50, :NumDimensions => :NotSpecified, :FitnessTolerance => 1.0e-8, :TraceInterval => 0.5, :MaxStepsWithoutProgress => 10000, :MaxSteps => 10000…)], 10119, ScalarFitnessScheme{true}(), BlackBoxOptim.TopListArchiveOutput{Float64, Vector{Float64}}(1.7176926549066218e-24, [0.9999999999989588, 0.9999999999978381]), BlackBoxOptim.PopulationOptimizerOutput{FitPopulation{Float64}}(FitPopulation{Float64}([0.9999999999996163 0.9999999999962903 … 1.0000000000013298 0.999999999999466; 1.0000000000006652 0.9999999999930776 … 1.0000000000022256 0.9999999999986234], NaN, [2.0539060522917263e-22, 3.846742518500019e-23, 1.7176926549066218e-24, 2.4738612043889634e-22, 3.9681223422294817e-22, 3.5820915830394916e-23, 2.666102576528396e-22, 1.3094800256976474e-21, 1.5389578338552158e-21, 1.9802541673238255e-21  …  7.330448312375647e-22, 7.325100402925062e-22, 1.8203707750460086e-22, 6.411740490468472e-23, 3.820435513049151e-22, 8.65217237642243e-23, 9.746666863704813e-23, 1.422393978514559e-22, 2.061247303302316e-23, 9.804310921923098e-24], 0, BlackBoxOptim.Candidate{Float64}[BlackBoxOptim.Candidate{Float64}([0.9999999999938156, 0.9999999999881966], 15, 7.020593370442687e-23, BlackBoxOptim.AdaptiveDiffEvoRandBin{3}(BlackBoxOptim.AdaptiveDiffEvoParameters(BlackBoxOptim.BimodalCauchy(Distributions.Cauchy{Float64}(μ=0.65, σ=0.1), Distributions.Cauchy{Float64}(μ=1.0, σ=0.1), 0.5, false, true), BlackBoxOptim.BimodalCauchy(Distributions.Cauchy{Float64}(μ=0.1, σ=0.1), Distributions.Cauchy{Float64}(μ=0.95, σ=0.1), 0.5, false, true), [0.35100190625313, 0.7420146956694189, 1.0, 0.7329383977444415, 0.8847658486704195, 1.0, 0.7971842920131007, 0.921147423522936, 0.46202382006054465, 0.649190225631729  …  0.9592004051583127, 1.0, 0.6510597370903847, 0.9638788070342085, 1.0, 0.4933651958880294, 0.6013476881483406, 0.9827869269162178, 0.3850498378624238, 0.2669304722915554], [1.0, 0.06847559159376043, 1.0, 1.0, 1.0, 0.010062102496415412, 0.8661130137438211, 1.0, 0.9388556473906894, 0.2684965797820653  …  1.0, 0.995686073689982, 0.07090640909672812, 0.2045750392503057, 0.6211077086645644, 0.9567948256531256, 0.8736836101032183, 1.0, 1.0, 0.9805305418175313])), 0), BlackBoxOptim.Candidate{Float64}([1.000000000012749, 1.0000000000199356], 15, 3.2563609722243674e-21, BlackBoxOptim.AdaptiveDiffEvoRandBin{3}(BlackBoxOptim.AdaptiveDiffEvoParameters(BlackBoxOptim.BimodalCauchy(Distributions.Cauchy{Float64}(μ=0.65, σ=0.1), Distributions.Cauchy{Float64}(μ=1.0, σ=0.1), 0.5, false, true), BlackBoxOptim.BimodalCauchy(Distributions.Cauchy{Float64}(μ=0.1, σ=0.1), Distributions.Cauchy{Float64}(μ=0.95, σ=0.1), 0.5, false, true), [0.35100190625313, 0.7420146956694189, 1.0, 0.7329383977444415, 0.8847658486704195, 1.0, 0.7971842920131007, 0.921147423522936, 0.46202382006054465, 0.649190225631729  …  0.9592004051583127, 1.0, 0.6510597370903847, 0.9638788070342085, 1.0, 0.4933651958880294, 0.6013476881483406, 0.9827869269162178, 0.3850498378624238, 0.2669304722915554], [1.0, 0.06847559159376043, 1.0, 1.0, 1.0, 0.010062102496415412, 0.8661130137438211, 1.0, 0.9388556473906894, 0.2684965797820653  …  1.0, 0.995686073689982, 0.07090640909672812, 0.2045750392503057, 0.6211077086645644, 0.9567948256531256, 0.8736836101032183, 1.0, 1.0, 0.9805305418175313])), 0)], Base.Threads.SpinLock(0))))

julia> 

[robertfeldt]

Thanks, this looks good.

[robertfeldt]

Will have to look into SaveParams separately.