/// <summary>
/// Read json into a target instance of <see cref="NeatReproductionSexualSettings"/>.
/// Settings that are present are read and set on the target settings object; all other settings
/// remain unchanged on the target object.
/// </summary>
/// <param name="target">The target settings object to store the read values on.</param>
/// <param name="jelem">The json element to read from.</param>
public static void Read(
NeatReproductionSexualSettings target,
JsonElement jelem)
{
ReadDoubleOptional(jelem, "secondaryParentGeneProbability", x => target.SecondaryParentGeneProbability = x);
target.Validate();
}
/// <summary>
/// Construct a new instance.
/// </summary>
/// <param name="eaSettings">NEAT evolution algorithm settings.</param>
/// <param name="evaluator">An evaluator of lists of genomes.</param>
/// <param name="speciationStrategy">Speciation strategy.</param>
/// <param name="population">An initial population of genomes.</param>
/// <param name="complexityRegulationStrategy">Complexity regulation strategy.</param>
/// <param name="reproductionAsexualSettings">Asexual reproduction settings.</param>
/// <param name="reproductionSexualSettings">Sexual reproduction settings.</param>
/// <param name="weightMutationScheme">Connection weight mutation scheme.</param>
/// <param name="rng">Random source.</param>
public NeatEvolutionAlgorithm(
NeatEvolutionAlgorithmSettings eaSettings,
IGenomeListEvaluator <NeatGenome <T> > evaluator,
ISpeciationStrategy <NeatGenome <T>, T> speciationStrategy,
NeatPopulation <T> population,
IComplexityRegulationStrategy complexityRegulationStrategy,
NeatReproductionAsexualSettings reproductionAsexualSettings,
NeatReproductionSexualSettings reproductionSexualSettings,
WeightMutationScheme <T> weightMutationScheme,
IRandomSource rng)
{
_eaSettingsCurrent = eaSettings ?? throw new ArgumentNullException(nameof(eaSettings));
_eaSettingsComplexifying = eaSettings;
_eaSettingsSimplifying = eaSettings.CreateSimplifyingSettings();
_evaluator = evaluator ?? throw new ArgumentNullException(nameof(evaluator));
_speciationStrategy = speciationStrategy ?? throw new ArgumentNullException(nameof(speciationStrategy));
_pop = population ?? throw new ArgumentNullException(nameof(population));
_complexityRegulationStrategy = complexityRegulationStrategy ?? throw new ArgumentNullException(nameof(complexityRegulationStrategy));
if (reproductionAsexualSettings == null)
{
throw new ArgumentNullException(nameof(reproductionAsexualSettings));
}
if (reproductionSexualSettings == null)
{
throw new ArgumentNullException(nameof(reproductionSexualSettings));
}
_rng = rng;
_genomeComparerDescending = new GenomeComparerDescending(evaluator.FitnessComparer);
if (eaSettings.SpeciesCount > population.PopulationSize)
{
throw new ArgumentException("Species count is higher then the population size.");
}
_generationSeq = new Int32Sequence();
_reproductionAsexual = new NeatReproductionAsexual <T>(
_pop.MetaNeatGenome, _pop.GenomeBuilder,
_pop.GenomeIdSeq, population.InnovationIdSeq, _generationSeq,
_pop.AddedNodeBuffer, reproductionAsexualSettings, weightMutationScheme);
_reproductionSexual = new NeatReproductionSexual <T>(
_pop.MetaNeatGenome, _pop.GenomeBuilder,
_pop.GenomeIdSeq, _generationSeq,
reproductionSexualSettings);
_offspringBuilder = new OffspringBuilder <T>(
_reproductionAsexual,
_reproductionSexual,
eaSettings.InterspeciesMatingProportion,
evaluator.FitnessComparer);
}
/// <summary>
/// Construct a new instance.
/// </summary>
/// <param name="metaNeatGenome">NeatGenome metadata.</param>
/// <param name="genomeBuilder">NeatGenome builder.</param>
/// <param name="genomeIdSeq">Genome ID sequence; for obtaining new genome IDs.</param>
/// <param name="generationSeq">Generation sequence; for obtaining the current generation number.</param>
/// <param name="settings">Sexual reproduction settings.</param>
public NeatReproductionSexual(
MetaNeatGenome <T> metaNeatGenome,
INeatGenomeBuilder <T> genomeBuilder,
Int32Sequence genomeIdSeq,
Int32Sequence generationSeq,
NeatReproductionSexualSettings settings)
{
_strategy = new UniformCrossoverReproductionStrategy <T>(
metaNeatGenome.IsAcyclic,
settings.SecondaryParentGeneProbability,
genomeBuilder,
genomeIdSeq, generationSeq);
}
/// <summary>
/// Construct a new instance.
/// </summary>
/// <param name="eaSettings">NEAT evolution algorithm settings.</param>
/// <param name="evaluator">An evaluator of lists of genomes.</param>
/// <param name="speciationStrategy">Speciation strategy.</param>
/// <param name="population">An initial population of genomes.</param>
/// <param name="reproductionAsexualSettings">Asexual reproduction settings.</param>
/// <param name="reproductionSexualSettings">Sexual reproduction settings.</param>
/// <param name="weightMutationScheme">Connection weight mutation scheme.</param>
public NeatEvolutionAlgorithm(
NeatEvolutionAlgorithmSettings eaSettings,
IGenomeListEvaluator <NeatGenome <T> > evaluator,
ISpeciationStrategy <NeatGenome <T>, T> speciationStrategy,
NeatPopulation <T> population,
NeatReproductionAsexualSettings reproductionAsexualSettings,
NeatReproductionSexualSettings reproductionSexualSettings,
WeightMutationScheme <T> weightMutationScheme)
: this(eaSettings, evaluator, speciationStrategy, population,
reproductionAsexualSettings, reproductionSexualSettings,
weightMutationScheme,
RandomDefaults.CreateRandomSource())
{
}
public void Read()
{
JsonDocument jdoc = JsonDocument.Parse(
@"{
""secondaryParentGeneProbability"":0.11
}");
// Init a default settings object.
var settings = new NeatReproductionSexualSettings();
// Read json properties into the settings object.
NeatReproductionSexualSettingsJsonReader.Read(settings, jdoc.RootElement);
// Assert the expected values.
Assert.AreEqual(0.11, settings.SecondaryParentGeneProbability);
}
public void Read()
{
JObject jobj = JObject.Parse(
@"{
'secondaryParentGeneProbability':0.11
}");
// Init a default settings object.
var settings = new NeatReproductionSexualSettings();
// Read json properties into the settings object.
NeatReproductionSexualSettingsJsonReader.Read(settings, jobj);
// Assert the expected values.
Assert.AreEqual(0.11, settings.SecondaryParentGeneProbability);
}
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);
}
