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

[Marcus Edel]

> +    std::sort(depthAndLinks.begin(), depthAndLinks.end());
> +
> +    for (ssize_t i=0; i<linkGenesSize; ++i) {
> +      aLinkGenes[i] = depthAndLinks[i].link;
> +    }
> +  }
> +
> +  // Activate genome. The last dimension of input is always 1 for bias. 0 means no bias.
> +  void Activate(std::vector<double>& input) {
> +    assert(input.size() == aNumInput);
> +
> +    SortLinkGenes();
> +
> +    // Set all neurons' input to be 0.
> +    for (ssize_t i=0; i<NumNeuron(); ++i) {
> +      aNeuronGenes[i].Input(0);

If we reset the input, we also lose the input of a recurrent connection, for the next iteration.

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