[mlpack-git] [mlpack/mlpack] NeuralEvolution - implemented gene, genome (#686)

[Marcus Edel]

> +    genome.AddLink(outputLink);
> +  }
> +
> +  // Crossover link weights.
> +  // NOTICE: assume momGenome is the better genome.
> +  // NOTICE: assume childGenome is empty.
> +  void CrossoverLinkAndNeuron(Genome& momGenome, Genome& dadGenome, Genome& childGenome) {
> +    // Add input and output neuron genes to child genome.
> +    for (ssize_t i=0; i<(momGenome.NumInput() + momGenome.NumOutput()); ++i) {
> +      childGenome.aNeuronGenes.push_back(momGenome.aNeuronGenes[i]);
> +    }
> +
> +    // Iterate to add link genes and neuron genes to child genome.
> +    for (ssize_t i=0; i<momGenome.NumLink(); ++i) {
> +      ssize_t innovId = momGenome.aLinkGenes[i].InnovationId();
> +      ssize_t idx = dadGenome.GetLinkIndex(innovId);

I like the names of the genomes.

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