private List <String> Lab2CheckAdaptationAgainstContinuousProblemsWithDomainKnowledge <A>(int?seed, int maxIter = 1000) where A : ARealMutationES11Adaptation
{
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, maxIter);
RealGaussianMutation mutation = new RealGaussianMutation(sigmas, problem, seed);
var mutationAdaptation = (A)Activator.CreateInstance(typeof(A), mutation, problem);
RealEvolutionStrategy11 optimizer = new RealEvolutionStrategy11(problem, stopCondition, mutationAdaptation, seed);
optimizer.Run();
resultData.Add(FormatSave(optimizer));
ReportOptimizationResult(optimizer.Result);
}
return(resultData);
}
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);
}
private static void Lab2Step2Sphere(int?seed, int variables)
{
CRealStep2SphereEvaluation step2SphereEvaluation = new CRealStep2SphereEvaluation(variables);
List <double> sigmas = Enumerable.Repeat(0.1, step2SphereEvaluation.iSize).ToList();
IterationsStopCondition stopCondition = new IterationsStopCondition(step2SphereEvaluation.dMaxValue, 1000);
RealGaussianMutation mutation = new RealGaussianMutation(sigmas, step2SphereEvaluation, seed);
RealNullRealMutationES11Adaptation mutationAdaptation = new RealNullRealMutationES11Adaptation(mutation);
RealEvolutionStrategy11 es11 = new RealEvolutionStrategy11(step2SphereEvaluation, stopCondition, mutationAdaptation, seed);
es11.Run();
ReportOptimizationResult(es11.Result);
}
private static string RunExperiment(IEvaluation <double> evaluation, string method, string problemInfo, int maxIterations, int parameter, int?seed = null)
{
lock (evaluation)
{
IterationsStopCondition stopCondition = new IterationsStopCondition(evaluation.dMaxValue, maxIterations);
if (method == "RS")
{
RealRandomSearch rs = new RealRandomSearch(evaluation, stopCondition, seed);
rs.Run();
return(ResultToString(problemInfo, method, rs.Result));
}
else if (method == "ES11")
{
List <double> sigmas = Enumerable.Repeat(0.1, evaluation.iSize).ToList();
RealGaussianMutation mutation = new RealGaussianMutation(sigmas, evaluation, seed);
RealNullRealMutationES11Adaptation mutationAdaptation = new RealNullRealMutationES11Adaptation(mutation);
RealEvolutionStrategy11 es11 = new RealEvolutionStrategy11(evaluation, stopCondition, mutationAdaptation, seed);
es11.Run();
return(ResultToString(problemInfo, method, es11.Result));
}
else if (method == "RestartingES11")
{
List <double> sigmas = Enumerable.Repeat(0.1, evaluation.iSize).ToList();
RealGaussianMutation mutation = new RealGaussianMutation(sigmas, evaluation, seed);
RealNullRealMutationES11Adaptation mutationAdaptation = new RealNullRealMutationES11Adaptation(mutation);
RealRestartingEvolutionStrategy11 es11 = new RealRestartingEvolutionStrategy11(evaluation, stopCondition, mutationAdaptation, parameter, seed);
es11.Run();
return(ResultToString(problemInfo, method, es11.Result));
}
else if (method == "PoorMansCMAES")
{
List <double> sigmas = Enumerable.Repeat(0.1, evaluation.iSize).ToList();
RealGaussianMutation mutation = new RealGaussianMutation(sigmas, evaluation, seed);
RealNullRealMutationES11Adaptation mutationAdaptation = new RealNullRealMutationES11Adaptation(mutation);
PoorMansCMAES pmcmaes = new PoorMansCMAES(evaluation, stopCondition, mutationAdaptation, parameter, seed);
pmcmaes.Run();
return(ResultToString(problemInfo, method, pmcmaes.Result));
}
else if (method == "CMAES")
{
CMAES cmaes = new CMAES(evaluation, stopCondition, 1, seed);
cmaes.Run();
return(ResultToString(problemInfo, method, cmaes.Result));
}
else
{
throw new ArgumentException();
}
}
}