[mlpack-git] [mlpack/mlpack] CNE algorithm (#753)

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Sun Aug 7 17:36:20 EDT 2016


> +  // TODO: here we use uniform distribution. Can we use exponential distribution?
> +  static void MutateWeightsBiased(Genome& genome, double mutateProb, double mutateSize) {
> +    for (int i=0; i<genome.aLinkGenes.size(); ++i) {
> +      double p = mlpack::math::Random();  // rand 0~1
> +      if (p < mutateProb) {
> +        double deltaW = mlpack::math::RandNormal(0, mutateSize);
> +        double oldW = genome.aLinkGenes[i].Weight();
> +        genome.aLinkGenes[i].Weight(oldW + deltaW);
> +      }
> +    }
> +  }
> +
> +  // Hard mutation: replace with a random value chosen from
> +  // initialization prob distribution with probability p.
> +  // TODO: here we use uniform distribution. Can we use exponential distribution?
> +  static void MutateWeightsUnbiased(Genome& genome, double mutateProb, double mutateSize) {

Yeah, we can do this. 

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