private static void AddPopulationSizeExperiment(ExperimentSet newSet, int populationSize)
{
var newExperiment = new Experiment();
newSet.Experiments.Add(newExperiment);
newExperiment.PopulationSize = populationSize;
newExperiment.Label = "Population Size: " + populationSize;
}
private static void AddMutationPercentExperiment(ExperimentSet newSet, double mutationPercent)
{
var newExperiment = new Experiment();
newSet.Experiments.Add(newExperiment);
newExperiment.PercentToMutate = mutationPercent;
newExperiment.Label = "Mutation Percent: " + mutationPercent;
}
private static void AddCrossoverPercentExperiment(ExperimentSet newSet, double crossoverPercent)
{
var newExperiment = new Experiment();
newSet.Experiments.Add(newExperiment);
newExperiment.PercentToCrossover = crossoverPercent;
newExperiment.Label = "Crossover Percent: " + crossoverPercent;
}
private static void AddCrossoverMethodExperiment(ExperimentSet newSet, ICrossoverMethod crossoverMethod, string title)
{
var newExperiment = new Experiment();
newSet.Experiments.Add(newExperiment);
newExperiment.CrossoverMethod = crossoverMethod;
newExperiment.Label = "Crossover Method: " + title;
}
private static void AddCrossoverHandlerExperiment(ExperimentSet newSet, ICrossoverHandler crossoverHandler, string title)
{
var newExperiment = new Experiment();
newSet.Experiments.Add(newExperiment);
newExperiment.CrossoverHandler = crossoverHandler;
newExperiment.Label = "Selection Process: " + title;
}
private static void AddCrossoverHandlerExperiment(ExperimentSet newSet, ICrossoverHandler crossoverHandler, string title)
{
var newExperiment = new Experiment();
newSet.Experiments.Add(newExperiment);
newExperiment.CrossoverHandler = crossoverHandler;
newExperiment.Label = "Selection Process: " + title;
}
private static void AddCrossoverMethodExperiment(ExperimentSet newSet, ICrossoverMethod crossoverMethod, string title)
{
var newExperiment = new Experiment();
newSet.Experiments.Add(newExperiment);
newExperiment.CrossoverMethod = crossoverMethod;
newExperiment.Label = "Crossover Method: " + title;
}
private static void AddMutationPercentExperiment(ExperimentSet newSet, double mutationPercent)
{
var newExperiment = new Experiment();
newSet.Experiments.Add(newExperiment);
newExperiment.PercentToMutate = mutationPercent;
newExperiment.Label = "Mutation Percent: " + mutationPercent;
}
private static void AddCrossoverPercentExperiment(ExperimentSet newSet, double crossoverPercent)
{
var newExperiment = new Experiment();
newSet.Experiments.Add(newExperiment);
newExperiment.PercentToCrossover = crossoverPercent;
newExperiment.Label = "Crossover Percent: " + crossoverPercent;
}
private static void AddPopulationSizeExperiment(ExperimentSet newSet, int populationSize)
{
var newExperiment = new Experiment();
newSet.Experiments.Add(newExperiment);
newExperiment.PopulationSize = populationSize;
newExperiment.Label = "Population Size: " + populationSize;
}
private static List <ExperimentSet> InitExperimentSets()
{
var experimentSets = new List <ExperimentSet>();
//Population Size
var newSet = new ExperimentSet {
FileName = "C:/Repos/CS4470/GeneticAlgorithm/results/popsize.csv"
};
experimentSets.Add(newSet);
AddPopulationSizeExperiment(newSet, 10);
AddPopulationSizeExperiment(newSet, 20);
AddPopulationSizeExperiment(newSet, 30);
AddPopulationSizeExperiment(newSet, 40);
AddPopulationSizeExperiment(newSet, 50);
AddPopulationSizeExperiment(newSet, 60);
AddPopulationSizeExperiment(newSet, 70);
AddPopulationSizeExperiment(newSet, 80);
AddPopulationSizeExperiment(newSet, 90);
AddPopulationSizeExperiment(newSet, 100);
//Crossover Percent
newSet = new ExperimentSet {
FileName = "C:/Repos/CS4470/GeneticAlgorithm/results/crossoverpercent.csv"
};
experimentSets.Add(newSet);
AddCrossoverPercentExperiment(newSet, 0.1);
AddCrossoverPercentExperiment(newSet, 0.2);
AddCrossoverPercentExperiment(newSet, 0.3);
AddCrossoverPercentExperiment(newSet, 0.4);
AddCrossoverPercentExperiment(newSet, 0.5);
AddCrossoverPercentExperiment(newSet, 0.6);
AddCrossoverPercentExperiment(newSet, 0.7);
AddCrossoverPercentExperiment(newSet, 0.8);
AddCrossoverPercentExperiment(newSet, 0.9);
//Mutation Percent
newSet = new ExperimentSet {
FileName = "C:/Repos/CS4470/GeneticAlgorithm/results/mutationpercent.csv"
};
experimentSets.Add(newSet);
AddMutationPercentExperiment(newSet, 0.1);
AddMutationPercentExperiment(newSet, 0.2);
AddMutationPercentExperiment(newSet, 0.3);
AddMutationPercentExperiment(newSet, 0.4);
AddMutationPercentExperiment(newSet, 0.5);
AddMutationPercentExperiment(newSet, 0.6);
AddMutationPercentExperiment(newSet, 0.7);
AddMutationPercentExperiment(newSet, 0.8);
AddMutationPercentExperiment(newSet, 0.9);
//Crossover Method
newSet = new ExperimentSet {
FileName = "C:/Repos/CS4470/GeneticAlgorithm/results/crossovermethod.csv"
};
experimentSets.Add(newSet);
AddCrossoverMethodExperiment(newSet, new UniformCrossoverMethod(), "Uniform");
AddCrossoverMethodExperiment(newSet, new SingleSplitCrossoverMethod(), "Single Split");
AddCrossoverMethodExperiment(newSet, new DoubleSplitCrossoverMethod(), "Double Split");
//Crossover Handler
newSet = new ExperimentSet {
FileName = "C:/Repos/CS4470/GeneticAlgorithm/results/selectionmethod.csv"
};
experimentSets.Add(newSet);
AddCrossoverHandlerExperiment(newSet, new AlphaBetaCrossoverHandler(), "Alpha-Beta");
AddCrossoverHandlerExperiment(newSet, new FitnessPercentageCrossoverHandler(), "Fitness Percentage");
AddCrossoverHandlerExperiment(newSet, new FitnessRankCrossoverHandler(), "Fitness Rank");
AddCrossoverHandlerExperiment(newSet, new TournamentCrossoverHandler(), "Tournament");
return(experimentSets);
}
private static List<ExperimentSet> InitExperimentSets()
{
var experimentSets = new List<ExperimentSet>();
//Population Size
var newSet = new ExperimentSet {FileName = "C:/Repos/CS4470/GeneticAlgorithm/results/popsize.csv"};
experimentSets.Add(newSet);
AddPopulationSizeExperiment(newSet, 10);
AddPopulationSizeExperiment(newSet, 20);
AddPopulationSizeExperiment(newSet, 30);
AddPopulationSizeExperiment(newSet, 40);
AddPopulationSizeExperiment(newSet, 50);
AddPopulationSizeExperiment(newSet, 60);
AddPopulationSizeExperiment(newSet, 70);
AddPopulationSizeExperiment(newSet, 80);
AddPopulationSizeExperiment(newSet, 90);
AddPopulationSizeExperiment(newSet, 100);
//Crossover Percent
newSet = new ExperimentSet {FileName = "C:/Repos/CS4470/GeneticAlgorithm/results/crossoverpercent.csv"};
experimentSets.Add(newSet);
AddCrossoverPercentExperiment(newSet, 0.1);
AddCrossoverPercentExperiment(newSet, 0.2);
AddCrossoverPercentExperiment(newSet, 0.3);
AddCrossoverPercentExperiment(newSet, 0.4);
AddCrossoverPercentExperiment(newSet, 0.5);
AddCrossoverPercentExperiment(newSet, 0.6);
AddCrossoverPercentExperiment(newSet, 0.7);
AddCrossoverPercentExperiment(newSet, 0.8);
AddCrossoverPercentExperiment(newSet, 0.9);
//Mutation Percent
newSet = new ExperimentSet {FileName = "C:/Repos/CS4470/GeneticAlgorithm/results/mutationpercent.csv"};
experimentSets.Add(newSet);
AddMutationPercentExperiment(newSet, 0.1);
AddMutationPercentExperiment(newSet, 0.2);
AddMutationPercentExperiment(newSet, 0.3);
AddMutationPercentExperiment(newSet, 0.4);
AddMutationPercentExperiment(newSet, 0.5);
AddMutationPercentExperiment(newSet, 0.6);
AddMutationPercentExperiment(newSet, 0.7);
AddMutationPercentExperiment(newSet, 0.8);
AddMutationPercentExperiment(newSet, 0.9);
//Crossover Method
newSet = new ExperimentSet {FileName = "C:/Repos/CS4470/GeneticAlgorithm/results/crossovermethod.csv"};
experimentSets.Add(newSet);
AddCrossoverMethodExperiment(newSet, new UniformCrossoverMethod(), "Uniform");
AddCrossoverMethodExperiment(newSet, new SingleSplitCrossoverMethod(), "Single Split");
AddCrossoverMethodExperiment(newSet, new DoubleSplitCrossoverMethod(), "Double Split");
//Crossover Handler
newSet = new ExperimentSet {FileName = "C:/Repos/CS4470/GeneticAlgorithm/results/selectionmethod.csv"};
experimentSets.Add(newSet);
AddCrossoverHandlerExperiment(newSet, new AlphaBetaCrossoverHandler(), "Alpha-Beta");
AddCrossoverHandlerExperiment(newSet, new FitnessPercentageCrossoverHandler(), "Fitness Percentage");
AddCrossoverHandlerExperiment(newSet, new FitnessRankCrossoverHandler(), "Fitness Rank");
AddCrossoverHandlerExperiment(newSet, new TournamentCrossoverHandler(), "Tournament");
return experimentSets;
}