public Candidate(int generation, List <int> genotype, GeneticSolver solver, string time)
{
this.time = time;
this.generation = generation;
this.solver = solver;
chromoson = genotype;
CountFitness();
}
public static void createNewSolver(int mutationIndex, int crossoverIndex, int selectorIndex, int populationSize, float mutationChance, int timeMS, int selectorSize, float crossoverChance)
{
MutationType mutation = null;
CrossoverType crossover = null;
SelectionType selection = null;
AdjacencyMatrix matrix = new AdjacencyMatrix(tspXmlFile);
switch (mutationIndex)
{
case 0:
{
mutation = new InversionMutation(mutationChance);
break;
}
case 1:
{
mutation = new TranspositionMutation(mutationChance);
break;
}
}
switch (crossoverIndex)
{
case 0:
{
crossover = new PMXCrossover(crossoverChance);
break;
}
case 1:
{
crossover = new OXCrossover(crossoverChance);
break;
}
}
switch (selectorIndex)
{
case 0:
{
selection = new TournamentSelection(selectorSize);
break;
}
case 1:
{
selection = new RouletteSelection(selectorSize);
break;
}
}
GeneticSolver solver = null;//add parameters TO DO
if (mutation != null && selection != null && crossover != null)
{
addNewSolver(new GeneticSolver(matrix, mutation, crossover, selection, populationSize, timeMS));
}
}
public static void addNewSolver(GeneticSolver solver)
{
if (solver != null)
{
listTask.Add(solver);
}
else
{
Console.WriteLine("Error. Wrong solver parameters");
}
}
public Result(GeneticSolver solver)
{
mutationName = solver.mutation.MutationName;
selectionName = solver.selector.SelectionName;
crossoverName = solver.crossover.CrossoverName;
mutationChance = solver.mutation.mutationChance;
tspFileName = solver.matrix.tspFileName;
overCrossChance = solver.crossover.CrossoverChance;
time = solver.time.ElapsedMilliseconds.ToString();
populationSize = solver.maxPopulationSize;
selectionSize = solver.selector.selectionSize;
measureName = tspFileName + "Size" + populationSize + mutationName + mutationChance + selectionName + selectionSize + crossoverName + overCrossChance + "TIME" + solver.MaxTime + "s";
bestResult = solver.bestCandidate;
results = solver.results;
TimeResults = solver.bestPerTwoMinutes;
}