public Generation NextGeneration()
{
Generation nextGeneration;
//brzydkie to to cokolwiek
if (this is GenerationTournament)
{
nextGeneration = new GenerationTournament(this.parameters);
}
else if (this is GenerationRoulette)
{
nextGeneration = new GenerationRoulette(this.parameters);
}
else
{
nextGeneration = null;
throw new Exception("unknown generation type");
}
for (int i = 0; i < Population.Length; i += 2) //using 2 phenotypes from current generation we create 2 for the next one
{
Random r = new Random();
//SELECTION
Phenotype parent_a = Selection();
Phenotype parent_b = Selection();
Phenotype child_a;
Phenotype child_b;
//CROSSOVER
if (r.NextDouble() < parameters.P_crossover)
{
child_a = parent_a.Crossover(parent_b);
child_b = parent_b.Crossover(parent_a);
}
else
{
//TU ZEPSUŁEŚ!
child_a = parent_a.Clone();
child_b = parent_b.Clone();
}
//MUTATION
child_a.Mutate();
child_b.Mutate();
//ADD TO NEW GENERATION
nextGeneration.Population[i] = child_a;
if (i + 1 < Population.Length)
{
nextGeneration.Population[i + 1] = child_b;
}
}
return(nextGeneration);
}
public GeneticAlgorithm(int nOfGenerations, int population_size, double p_crossover, double p_mutation, SelectionMethod selection, int tournament_size, string inputFileName) : base(inputFileName)
{
this.NOfGenerations = nOfGenerations;
this.P_crossover = p_crossover;
this.P_mutation = p_mutation;
this.Tournament_size = tournament_size;
this.Population_size = population_size;
if (selection == SelectionMethod.Roulette)
{
cur_generation = new GenerationRoulette(this);
}
else if (selection == SelectionMethod.Tournament)
{
cur_generation = new GenerationTournament(this);
}
}