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 GeneticSolver(AdjacencyMatrix matrix, MutationType mutation, CrossoverType crossover, SelectionType selectionType, int populationSize, int MaxTime)
{
this.crossover = crossover;
this.matrix = matrix;
this.mutation = mutation;
maxPopulationSize = populationSize;
selector = selectionType;
rnd = new Random();
this.MaxTime = MaxTime;
results = new List <Candidate>();
time = new Stopwatch();
bestPerTwoMinutes = new List <Candidate>();
result = new Result(this);
minutes = 0;
}