protected override IEvaluation <double>[] GenerateProblems()
{
int[] genes = { 2, 5, 10, 25, 50, 75 };
int nProblems = genes.Length * 6;
IEvaluation <double>[] problems = new IEvaluation <double> [nProblems];
int iterator = 0;
//Sphere
foreach (var gene in genes)
{
problems[iterator] = new CRealSphereEvaluation(gene);
iterator++;
}
//Sphere-10
foreach (var gene in genes)
{
problems[iterator] = new CRealSphere10Evaluation(gene);
iterator++;
}
//Ellipsoid
foreach (var gene in genes)
{
problems[iterator] = new CRealEllipsoidEvaluation(gene);
iterator++;
}
//Step-2 Sphere
foreach (var gene in genes)
{
problems[iterator] = new CRealStep2SphereEvaluation(gene);
iterator++;
}
//Te problemy będą przydatne do 3 laborek
//Rastrigin
foreach (var gene in genes)
{
problems[iterator] = new CRealRastriginEvaluation(gene);
iterator++;
}
//Ackley
foreach (var gene in genes)
{
problems[iterator] = new CRealAckleyEvaluation(gene);
iterator++;
}
return(problems);
}
private static void Lab2Ellipsoid(int?seed, int variables)
{
CRealEllipsoidEvaluation ellipsoidEvaluation = new CRealEllipsoidEvaluation(variables);
List <double> sigmas = Enumerable.Repeat(0.1, ellipsoidEvaluation.iSize).ToList();
IterationsStopCondition stopCondition = new IterationsStopCondition(ellipsoidEvaluation.dMaxValue, 1000);
RealGaussianMutation mutation = new RealGaussianMutation(sigmas, ellipsoidEvaluation, seed);
RealNullRealMutationES11Adaptation mutationAdaptation = new RealNullRealMutationES11Adaptation(mutation);
RealEvolutionStrategy11 es11 = new RealEvolutionStrategy11(ellipsoidEvaluation, stopCondition, mutationAdaptation, seed);
es11.Run();
ReportOptimizationResult(es11.Result);
}