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

[Marcus Edel]

>      CullSpeciesToOne(aPopulation);  // NOTICE: I found that this makes XOR test converges fast.
>  
> -    //DEBUGGING!!!!!!!!!
> -    printf("after, species sizes are: ");
> -    for (ssize_t s=0; s<aPopulation.aSpecies.size(); ++s) {
> -      std::cout<< aPopulation.aSpecies[s].aGenomes.size() << "  ";
> -    }
> -    printf("\n");
> -    //DEBUGGING!!!!!!!!!
> -
>      // Random choose species and breed child until reach population size.
>      childGenomes.push_back(lastBestGenome);

We can't just add the lastBestGenome, because it's possible that at the time we add the genome it doesn't exist anymore. Also the population already contains the genome, so we would add the genome twice.

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