private String Lab6BinaryGA(IEvaluation <bool> evaluation, ASelection selection, ACrossover crossover, double pMut, int popSize, Dictionary <String, int> problemStallCounter, int?seed)
{
IterationsStopCondition stopCondition = new IterationsStopCondition(evaluation.dMaxValue, 100);
BinaryRandomGenerator generator = new BinaryRandomGenerator(evaluation.pcConstraint, seed);
BinaryBitFlipMutation mutation = new BinaryBitFlipMutation(pMut, evaluation, seed);
GAStallDetection <bool> ga = new GAStallDetection <bool>(evaluation, stopCondition, generator, selection, crossover, mutation, popSize, 20);
ga.Run();
//Console.WriteLine(evaluation.GetType().Name + " : " + ga.countStalling);
DictionaryCounterUpdate(problemStallCounter, evaluation.GetType().Name, ga.countStalling);
//ReportOptimizationResult(ga.Result);
return(FormatSave(ga));
}
private String Lab6BinaryIslandModel(IEvaluation <bool> evaluation, ASelection selection, ACrossover crossover, double pMut, int popSize, int islandCount, PopulationChoosingMethod method, int maxNCD, int?seed)
{
IterationsStopCondition stopCondition = new IterationsStopCondition(evaluation.dMaxValue, 100);
BinaryRandomGenerator generator = new BinaryRandomGenerator(evaluation.pcConstraint, seed);
BinaryBitFlipMutation mutation = new BinaryBitFlipMutation(pMut, evaluation, seed);
APopulationCrossover <bool> populationCrossover = new ParametrizedPopulationCrossover <bool>(crossover, .5, method);
IslandModel im = new IslandModel(evaluation, stopCondition, generator, selection, crossover,
mutation, popSize, islandCount, maxNCD, populationCrossover);
GAStallDetection <bool> ga = new GAStallDetection <bool>(evaluation, stopCondition, generator, selection, crossover, mutation, 20, 5);
ga.Run();
ReportOptimizationResult(ga.Result);
return(FormatSave(ga));
}
