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

[Marcus Edel]

> +    // Breed children in each species. 
> +    std::vector<double> speciesAverageRank;
> +    CalcSpeciesAverageRank(aPopulation, speciesAverageRank);
> +    //DEBUGGING!!!!!!!!!
> +    printf("Species average rank are: ");
> +    for (ssize_t s=0; s<speciesAverageRank.size(); ++s) {
> +      std::cout<< speciesAverageRank[s] << "  ";
> +    }
> +    printf("\n");
> +    //DEBUGGING!!!!!!!!!
> +
> +    double totalAverageRank = std::accumulate(speciesAverageRank.begin(), speciesAverageRank.end(), 0);
> +    std::vector<Genome> childGenomes;
> +    for (ssize_t i=0; i<aPopulation.aSpecies.size(); ++i) {
> +      // number of child genomes by this species.
> +      ssize_t numBreed = std::floor(speciesAverageRank[i] * aPopulationSize / totalAverageRank) - 1;

That's the right position, I would go with offspring here.

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