Beispiel #1
0
    public void Breed()
    {
        Genome[] bestGenomes = GetBestCases(4);
        List<Genome> children = new List<Genome>();

        Genome best = new Genome();
        best.SetFitness(0.0f);
        best.SetId(bestGenomes[0].GetId());
        best.SetGenes(bestGenomes[0].GetGenes());
        //Mutate(best);
        children.Add(best);

        Genome[] babies = CrossOver(bestGenomes[0], bestGenomes[1]);
        Mutate(babies[0]);
        Mutate(babies[1]);
        children.Add(babies[0]);
        children.Add(babies[1]);

        babies = CrossOver(bestGenomes[0], bestGenomes[2]);
        Mutate(babies[0]);
        Mutate(babies[1]);
        children.Add(babies[0]);
        children.Add(babies[1]);

        babies = CrossOver(bestGenomes[0], bestGenomes[3]);
        Mutate(babies[0]);
        Mutate(babies[1]);
        children.Add(babies[0]);
        children.Add(babies[1]);

        babies = CrossOver(bestGenomes[1], bestGenomes[2]);
        Mutate(babies[0]);
        Mutate(babies[1]);
        children.Add(babies[0]);
        children.Add(babies[1]);

        babies = CrossOver(bestGenomes[1], bestGenomes[3]);
        Mutate(babies[0]);
        Mutate(babies[1]);
        children.Add(babies[0]);
        children.Add(babies[1]);

        int remainingChildren = (totalPopulation - children.Count);
        for (int i = 0; i < remainingChildren; i++) {
            children.Add(this.CreateNewGenome(bestGenomes[0].GetGenes().Count));
        }

        ClearPopulation();
        population = children;

        currentGenome = 0;
        generation++;
    }
Beispiel #2
0
    public Genome CreateNewGenome(int totalWeights)
    {
        Genome genome = new Genome();
        genome.SetId(id);
        genome.SetFitness(0.0f);
        List<float> genes = new List<float>();

        for (int i = 0; i < totalWeights; i++) {
            genes.Add(RandomClamped());
        }
        genome.SetGenes(genes);
        id++;

        return genome;
    }
Beispiel #3
0
    public void GeneratePopulation(int totalPopulation, int totalWeights)
    {
        generation = 1;
        ClearPopulation();
        currentGenome = -1;
        this.totalPopulation = totalPopulation;

        //resize
        if (population.Count < totalPopulation) {
            for (int i = population.Count; i < totalPopulation; i++) {
                population.Add(new Genome());
            }
        }

        for (int i = 0; i < population.Count; i++) {
            Genome genome = new Genome();
            genome.SetId(id);
            genome.SetFitness(0.0f);
            genome.SetGenes(new List<float>());
            //resize
            for (int k = 0; k < totalWeights; k++) {
                genome.GetGenes().Add(RandomClamped());
            }

            id++;
            population[i] = genome;
        }
    }