private static void InitialiseSpecies(NeatPopulation <double> neatPop)
{
// Create a speciation strategy instance.
var distanceMetric = new ManhattanDistanceMetric(1.0, 0.0, 10.0);
var speciationStrategy = new SharpNeat.Neat.Speciation.GeneticKMeans.Parallelized.GeneticKMeansSpeciationStrategy <double>(distanceMetric, 5, 4);
// Apply the speciation strategy.
var genomeComparerDescending = new GenomeComparerDescending(PrimaryFitnessInfoComparer.Singleton);
IRandomSource rng = RandomDefaults.CreateRandomSource(0);
neatPop.InitialiseSpecies(speciationStrategy, 3, genomeComparerDescending, rng);
}
public NeatEvolutionAlgorithm <double> CreateNeatEvolutionAlgorithm()
{
// Create a genome evaluator.
var genomeListEvaluator = CreateGenomeListEvaluator(out int inputCount, out int outputCount);
// Create an initial population.
_metaNeatGenome = CreateMetaNeatGenome(inputCount, outputCount);
_eaSettings = new NeatEvolutionAlgorithmSettings();
_eaSettings.SpeciesCount = 40;
_neatPop = CreatePopulation(_metaNeatGenome, 600);
// Create a speciation strategy instance.
var distanceMetric = new ManhattanDistanceMetric(1.0, 0.0, 10.0);
var speciationStrategy = new SharpNeat.Neat.Speciation.GeneticKMeans.Parallelized.GeneticKMeansSpeciationStrategy <double>(distanceMetric, 5);
// Create an asexual reproduction settings object (default settings).
var reproductionAsexualSettings = new NeatReproductionAsexualSettings();
// Create a sexual reproduction settings object (default settings).
var reproductionSexualSettings = new NeatReproductionSexualSettings();
// Create a connection weight mutation scheme.
var weightMutationScheme = WeightMutationSchemeFactory.CreateDefaultScheme(_metaNeatGenome.ConnectionWeightScale);
// Pull all of the parts together into an evolution algorithm instance.
var ea = new NeatEvolutionAlgorithm <double>(
_eaSettings,
genomeListEvaluator,
speciationStrategy,
_neatPop,
reproductionAsexualSettings,
reproductionSexualSettings,
weightMutationScheme);
return(ea);
}
