public Chromosome(Chromosome chromosome)
 {
     this.Genes            = new List <Gene>(chromosome.Genes).ToArray();
     this.MutationTracker  = chromosome.MutationTracker;
     this.neuralChromosome = chromosome.neuralChromosome;
     this.Parameters       = chromosome.Parameters;
 }
 public Chromosome(Gene[] genes, NeuralChromosome neuralChromosome, string mutationTracker, ChromosomeParameters parameters)
 {
     this.Genes            = new List <Gene>(genes).ToArray();
     this.MutationTracker  = mutationTracker;
     this.neuralChromosome = neuralChromosome;
     this.Parameters       = parameters;
 }
    public Chromosome(SerializationInfo info, StreamingContext context)
    {
        Genes = (Gene[])info.GetValue("Genes", typeof(Gene[]));

        MutationTracker  = (string)info.GetValue("MutationTracker", typeof(string));
        neuralChromosome = (NeuralChromosome)info.GetValue("neuralChromosome", typeof(NeuralChromosome));

        Parameters = (ChromosomeParameters)info.GetValue("Parameters", typeof(ChromosomeParameters));
    }
    private static ChromosomeParameters MutateParameters(ChromosomeParameters parameters)
    {
        double[] param = parameters.ToArray();
        for (int i = 0; i < param.Length; i++)
        {
            param[i] = MutateParameter(param[i], 0, 1);
        }

        return(new ChromosomeParameters(param));
    }
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    public static ChromosomeParameters CrossParameters(ChromosomeParameters parameters1, ChromosomeParameters parameters2)
    {
        double[] p1  = parameters1.ToArray();
        double[] p2  = parameters2.ToArray();
        double[] res = new double[p1.Length];
        for (int i = 0; i < p1.Length; i++)
        {
            if (GenesManager.r.Next(2) == 0)
            {
                res[i] = p1[i];
            }
            else
            {
                res[i] = p2[i];
            }
        }

        return(new ChromosomeParameters(res));
    }
    public static Chromosome CreateCrossover(Chromosome ch1, Chromosome ch2)
    {
        Gene[] genes = CrossoverManager.Crossover(ch1.Genes, ch2.Genes);


        var neuralComparableGenes = CrossoverManager.Crossover(ch1.neuralChromosome.GetComparableGenes(), ch2.neuralChromosome.GetComparableGenes());

        DendriteGene[] dendriteGenes = new DendriteGene[neuralComparableGenes.Length];
        for (int i = 0; i < dendriteGenes.Length; i++)
        {
            dendriteGenes[i] = neuralComparableGenes[i].GetGene();
        }


        NeuralChromosome neuralChromosome = new NeuralChromosome(dendriteGenes);

        ChromosomeParameters parameters = CrossoverManager.CrossParameters(ch1.Parameters, ch2.Parameters);

        Chromosome chromosome = new Chromosome(genes, neuralChromosome, ch1.MutationTracker + "CR", parameters);

        return(chromosome);
    }