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

[Marcus Edel]

> +
> +    for (ssize_t i=0; i<genome1.NumLink(); ++i) {
> +      int linkEnabledInGenome1 = (int) genome1.aLinkGenes[i].Enabled();
> +      ssize_t innovId = genome1.aLinkGenes[i].InnovationId();
> +      ssize_t idx = genome2.GetLinkIndex(innovId);
> +      bool linkContainedInGenome2 = (idx != -1);
> +
> +      if (linkContainedInGenome2) {
> +        int linkEnabledInGenome2 = (int) genome2.aLinkGenes[idx].Enabled();
> +        deltaW += std::abs(genome1.aLinkGenes[i].Weight() * linkEnabledInGenome1 - 
> +                           genome2.aLinkGenes[idx].Weight() * linkEnabledInGenome2);
> +        ++coincident;
> +      }
> +    }
> +
> +    deltaW = deltaW / coincident;

We should check if matching or coincident is > 0.

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