[mlpack-git] [mlpack/mlpack] Neural evolution algorithms implementation (CNE, NEAT, HyperNEAT) (#686)
Excalibur
notifications at github.com
Wed Jul 13 12:39:28 EDT 2016
> + // Reassign genome IDs.
> + aPopulation.ReassignGenomeId();
> + }
> +
> + // Evaluate genomes in population, set genomes' fitness.
> + void Evaluate() {
> + for (ssize_t i=0; i<aPopulation.aSpecies.size(); ++i) {
> + for (ssize_t j=0; j<aPopulation.aSpecies[i].aGenomes.size(); ++j) {
> + ////printf("start eval fitness\n");
> + double fitness = aTask.EvalFitness(aPopulation.aSpecies[i].aGenomes[j]);
> + ////printf("end eval fitness\n");
> + aPopulation.aSpecies[i].aGenomes[j].Fitness(fitness);
> + }
> +
> + double oldSpeciesBestFitness = aPopulation.aSpecies[i].BestFitness();
> + aPopulation.aSpecies[i].SetBestFitnessAndGenome();
Yeah, my current version fixed this.
On Wednesday, 13 July 2016, Marcus Edel <notifications at github.com> wrote:
> In src/mlpack/methods/ne/neat.hpp
> <https://github.com/mlpack/mlpack/pull/686#discussion_r70661281>:
>
> > + // Reassign genome IDs.
> > + aPopulation.ReassignGenomeId();
> > + }
> > +
> > + // Evaluate genomes in population, set genomes' fitness.
> > + void Evaluate() {
> > + for (ssize_t i=0; i<aPopulation.aSpecies.size(); ++i) {
> > + for (ssize_t j=0; j<aPopulation.aSpecies[i].aGenomes.size(); ++j) {
> > + ////printf("start eval fitness\n");
> > + double fitness = aTask.EvalFitness(aPopulation.aSpecies[i].aGenomes[j]);
> > + ////printf("end eval fitness\n");
> > + aPopulation.aSpecies[i].aGenomes[j].Fitness(fitness);
> > + }
> > +
> > + double oldSpeciesBestFitness = aPopulation.aSpecies[i].BestFitness();
> > + aPopulation.aSpecies[i].SetBestFitnessAndGenome();
>
> The SetBestFitnessAndGenome returns the minimal fitness over all genomes,
> but for the CartPole task as it implemented right now a higher fitniss is
> better.
>
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