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;
}
