[mlpack-git] [mlpack/mlpack] Neural evolution algorithms implementation (CNE, NEAT, HyperNEAT) (#686)

[Marcus Edel]

> +
> +    for (ssize_t i=0; i<genome2.NumLink(); ++i) {
> +      ssize_t innovId = genome2.aLinkGenes[i].InnovationId();
> +      bool linkContainedInGenome1 = genome1.ContainLink(innovId);
> +      if (!linkContainedInGenome1) {
> +        ++numDisjoint;
> +      }
> +    }
> +
> +    ssize_t largerGenomeSize = std::max(genome1.NumLink(), genome2.NumLink());
> +    double deltaD = numDisjoint / largerGenomeSize;
> +    return deltaD; 
> +  }
> +
> +  // Measure two genomes' weight difference.
> +  double WeightDiff(Genome& genome1, Genome& genome2) {

We can integrate the weight difference into the function I proposed  above.

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