public RealRestartingEvolutionStrategy11(IEvaluation <double> evaluation, AStopCondition stopCondition, ARealMutationES11Adaptation mutationAdaptation, int patience, int?seed = null)
: base(evaluation, stopCondition)
{
this.mutationAdaptation = mutationAdaptation;
randomGeneration = new RealRandomGenerator(evaluation.pcConstraint, seed);
this.patience = patience;
}
public RealEvolutionStrategy11(IEvaluation <double, double> evaluation, IStopCondition stopCondition,
ARealMutationES11Adaptation mutationAdaptation, int?seed = null)
: base(evaluation, stopCondition, new OptimizationState <double>(evaluation.tMaxValue))
{
this.mutationAdaptation = mutationAdaptation;
randomGeneration = new RealRandomGenerator(evaluation.pcConstraint, seed);
}
public RealEvolutionStrategy11(IEvaluation <double, double> evaluation, IStopCondition stopCondition, ARealMutationES11Adaptation mutationAdaptation, int?seed = null)
{
Result = null;
this.evaluation = evaluation;
this.stopCondition = stopCondition;
this.mutationAdaptation = mutationAdaptation;
randomGeneration = new RealRandomGenerator(evaluation.pcConstraint, seed);
}
public CMAES(IEvaluation <double> evaluation, AStopCondition stopCondition, double initSigma, int?seed = null)
: base(evaluation, stopCondition)
{
this.initSigma = initSigma;
normalRNG = new NormalRealRandom(seed);
realGenerator = new RealRandomGenerator(evaluation.pcConstraint, seed);
int N = evaluation.iSize;
previousMeans = Vector <double> .Build.Dense(N);
means = Vector <double> .Build.Dense(N);
covarianceMatrix = Matrix <double> .Build.Dense(N, N);
selectionParameters = new SelectionParameters(N);
stepSizeParameters = new StepSizeParameters(N, initSigma);
adaptationParameters = new AdaptationParameters(N, selectionParameters);
sampledPopulation = new List <Individual>(selectionParameters.Lambda);
}
