private static OptimizationResult <double> RunExperiment(IEvaluation <double> evaluation, int maxIterations, double sigma, bool adjustSigmas, int adaptation, int?seed = null, int archiveSize = 1, double modifier = 1.0)
{
lock (evaluation)
{
IterationsStopCondition stopCondition = new IterationsStopCondition(evaluation.dMaxValue, maxIterations);
List <double> sigmas;
if (adjustSigmas)
{
sigmas = AdjustSigmas(evaluation, sigma);
}
else
{
sigmas = Enumerable.Repeat(sigma, evaluation.iSize).ToList();
}
RealGaussianMutation mutation = new RealGaussianMutation(sigmas, evaluation, seed);
ARealMutationES11Adaptation mutationAdaptation;
switch (adaptation)
{
case 0:
mutationAdaptation = new RealNullRealMutationES11Adaptation(mutation);
break;
case 1:
mutationAdaptation = new RealOneFifthRuleMutationES11Adaptation(archiveSize, modifier, mutation);
break;
default:
throw new ArgumentOutOfRangeException();
}
RealEvolutionStrategy11 es11 = new RealEvolutionStrategy11(evaluation, stopCondition, mutationAdaptation, seed);
es11.Run();
return(es11.Result);
}
}
private List <String> Lab3CheckMineHistory(int?seed)
{
List <String> resultData = new List <String>();
IEvaluation <double>[] benchmarkProblems = GenerateProblems();
foreach (var problem in benchmarkProblems)
{
problem.pcConstraint.tGetLowerBound(0);
List <double> sigmas = Enumerable.Repeat(0.1, problem.iSize).ToList();
IterationsStopCondition stopCondition = new IterationsStopCondition(problem.dMaxValue, 10000);
RealGaussianMutation mutation = new RealGaussianMutation(sigmas, problem, seed);
var mutationAdaptation = new RealOneFifthRuleMutationES11Adaptation(5, 20, mutation);
RealEvolutionStrategy11 optimizer = new RealEvolutionStrategy11(problem, stopCondition, mutationAdaptation, seed);
optimizer.Run();
resultData.Add(FormatSave(optimizer));
ReportOptimizationResult(optimizer.Result);
}
return(resultData);
}
