private IChromosome CreateChild(IChromosome parent, List <int> pair)
{
var parentCP = parent as CPChromosome;
var parentList = parentCP.GetValues().ToList();
var childList = new List <int>();
childList.Add(pair[0]);
childList.Add(pair[1]);
parentList.ForEach(v =>
{
if (!childList.Contains(v))
{
childList.Add(v);
}
});
var child = new CPChromosome(childList.Count, childList.ToArray());
return(child);
}
public CPSetup(int populationSize, string filename = "")
{
if (String.IsNullOrEmpty(filename))
{
Console.WriteLine("Podaj nazwę pliku z grafem: ");
var builder = new StringBuilder();
builder.Append("Data/");
builder.Append(Console.ReadLine());
filename = builder.ToString();
}
Graph = new Graph(@filename);
int[] startValues = Graph.OddVertices.ToArray();
Fitness = new CPFitness();
Chromosome = new CPChromosome(startValues.Length, startValues, populationSize);
Population = new Population(populationSize, populationSize, Chromosome);
Selection = new EliteSelection();
Crossover = new CPCrossover();
Mutation = new CPMutation();
Termination = new FitnessStagnationTermination(50);
GA = new GeneticAlgorithm(Population, Fitness, Selection, Crossover, Mutation);
GA.Termination = Termination;
}
public CPSetup(IPopulation population, ISelection selection, ICrossover crossover, IMutation mutation, ITermination termination,
string filename = "")
{
if (String.IsNullOrEmpty(filename))
{
Console.WriteLine("Podaj nazwę pliku z grafem: ");
var builder = new StringBuilder();
builder.Append("Data/");
builder.Append(Console.ReadLine());
filename = builder.ToString();
}
Graph = new Graph(@filename);
int[] startValues = Graph.OddVertices.ToArray();
Fitness = new CPFitness();
Chromosome = new CPChromosome(startValues.Length, startValues, population.MaxSize);
Population = population;
Selection = selection;
Crossover = crossover;
Mutation = mutation;
Termination = termination;
GA = new GeneticAlgorithm(Population, Fitness, Selection, Crossover, Mutation);
GA.Termination = Termination;
}
