public Population(NetworkParameters networkParameters,
ReproductionParameters reproductionParameters,
bool relaxedNeatGenesComparison = true)
{
_networkParameters = networkParameters ?? throw new ArgumentNullException(nameof(networkParameters));
Replicator = new Replicator(reproductionParameters ??
throw new ArgumentNullException(nameof(reproductionParameters)));
InnovationTracker = new InnovationTracker(NetworkParameters.BiasCount +
_networkParameters.SensorCount +
_networkParameters.EffectorCount);
RelaxedNeatGenesComparison = relaxedNeatGenesComparison;
}
internal Replicator(ReproductionParameters reproductionParameters)
{
_mutationsDistribution = new DiscreteDistribution(new double[]
{
reproductionParameters.WeightMutations.OverallRouletteWheelShare,
reproductionParameters.SplitConnectionRouletteWheelShare,
reproductionParameters.AddConnectionRouletteWheelShare,
reproductionParameters.RemoveConnectionRouletteWheelShare,
},
new[]
{
(int)MutationType.Weight,
(int)MutationType.SplitConnection,
(int)MutationType.AddConnection,
(int)MutationType.RemoveConnection
});
_weightMutationDistribution = new WeightMutationDistribution(reproductionParameters.WeightMutations, Rng);
_crossoverType = reproductionParameters.CrossoverType;
}
