NeatChromosomeConnectionWeightMutationHandler.java
package net.bmahe.genetics4j.neat.mutation.chromosome;
import java.util.List;
import java.util.function.Supplier;
import java.util.random.RandomGenerator;
import org.apache.commons.lang3.Validate;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import net.bmahe.genetics4j.core.chromosomes.Chromosome;
import net.bmahe.genetics4j.core.mutation.chromosome.ChromosomeMutationHandler;
import net.bmahe.genetics4j.core.spec.chromosome.ChromosomeSpec;
import net.bmahe.genetics4j.core.spec.mutation.MutationPolicy;
import net.bmahe.genetics4j.core.spec.statistics.distributions.Distribution;
import net.bmahe.genetics4j.core.util.DistributionUtils;
import net.bmahe.genetics4j.neat.Connection;
import net.bmahe.genetics4j.neat.chromosomes.NeatChromosome;
import net.bmahe.genetics4j.neat.spec.NeatChromosomeSpec;
import net.bmahe.genetics4j.neat.spec.mutation.NeatConnectionWeight;
public class NeatChromosomeConnectionWeightMutationHandler implements ChromosomeMutationHandler<NeatChromosome> {
public static final Logger logger = LogManager.getLogger(NeatChromosomeConnectionWeightMutationHandler.class);
private final RandomGenerator randomGenerator;
public NeatChromosomeConnectionWeightMutationHandler(final RandomGenerator _randomGenerator) {
Validate.notNull(_randomGenerator);
this.randomGenerator = _randomGenerator;
}
@Override
public boolean canHandle(final MutationPolicy mutationPolicy, final ChromosomeSpec chromosome) {
Validate.notNull(mutationPolicy);
Validate.notNull(chromosome);
return mutationPolicy instanceof NeatConnectionWeight && chromosome instanceof NeatChromosomeSpec;
}
protected float perturbateWeight(final float weight, final float disturbance, final float minValue,
final float maxValue) {
Validate.isTrue(minValue <= maxValue);
float newWeight = weight + disturbance;
if (newWeight > maxValue) {
newWeight = maxValue;
} else if (newWeight < minValue) {
newWeight = minValue;
}
return newWeight;
}
protected Connection mutateConnection(final Connection connection, final double perturbationRatio,
final Supplier<Float> distributionValueSupplier, final Supplier<Float> distributionNewValueSupplier,
final float minValue, final float maxValue) {
final var connectionBuilder = Connection.builder()
.from(connection);
float newWeight = connection.weight();
if (randomGenerator.nextDouble() < perturbationRatio) {
final float disturbance = distributionValueSupplier.get();
newWeight = perturbateWeight(newWeight, disturbance, minValue, maxValue);
} else {
newWeight = distributionNewValueSupplier.get();
}
connectionBuilder.weight(newWeight);
return connectionBuilder.build();
}
@Override
public NeatChromosome mutate(final MutationPolicy mutationPolicy, final Chromosome chromosome) {
Validate.notNull(mutationPolicy);
Validate.notNull(chromosome);
Validate.isInstanceOf(NeatConnectionWeight.class, mutationPolicy);
Validate.isInstanceOf(NeatChromosome.class, chromosome);
final var neatChromosome = (NeatChromosome) chromosome;
final var numInputs = neatChromosome.getNumInputs();
final var numOutputs = neatChromosome.getNumOutputs();
final var minValue = neatChromosome.getMinWeightValue();
final var maxValue = neatChromosome.getMaxWeightValue();
final var neatConnectionWeight = (NeatConnectionWeight) mutationPolicy;
final Distribution perturbationDistribution = neatConnectionWeight.perturbationDistribution();
final double perturbationRatio = neatConnectionWeight.perturbationRatio();
final Distribution newValuesDistribution = neatConnectionWeight.newValuesDistribution();
final Supplier<Float> distributionValueSupplier = DistributionUtils
.distributionFloatValueSupplier(randomGenerator, minValue, maxValue, perturbationDistribution);
final Supplier<Float> distributionNewValueSupplier = DistributionUtils
.distributionFloatValueSupplier(randomGenerator, minValue, maxValue, newValuesDistribution);
final var oldConnections = neatChromosome.getConnections();
final List<Connection> newConnections = oldConnections.stream()
.map(connection -> mutateConnection(connection,
perturbationRatio,
distributionValueSupplier,
distributionNewValueSupplier,
minValue,
maxValue))
.toList();
return new NeatChromosome(numInputs, numOutputs, minValue, maxValue, newConnections);
}
}