FloatChromosomeSinglePointCrossover.java
package net.bmahe.genetics4j.core.combination.singlepointcrossover;
import java.util.List;
import java.util.random.RandomGenerator;
import org.apache.commons.lang3.Validate;
import net.bmahe.genetics4j.core.chromosomes.Chromosome;
import net.bmahe.genetics4j.core.chromosomes.FloatChromosome;
import net.bmahe.genetics4j.core.combination.ChromosomeCombinator;
import net.bmahe.genetics4j.core.spec.AbstractEAConfiguration;
public class FloatChromosomeSinglePointCrossover<T extends Comparable<T>> implements ChromosomeCombinator<T> {
private final RandomGenerator randomGenerator;
public FloatChromosomeSinglePointCrossover(final RandomGenerator _randomGenerator) {
Validate.notNull(_randomGenerator);
this.randomGenerator = _randomGenerator;
}
@Override
public List<Chromosome> combine(final AbstractEAConfiguration<T> eaConfiguration, final Chromosome chromosome1,
final T firstParentFitness, final Chromosome chromosome2, final T secondParentFitness) {
Validate.notNull(chromosome1);
Validate.notNull(chromosome2);
Validate.isInstanceOf(FloatChromosome.class, chromosome1);
Validate.isInstanceOf(FloatChromosome.class, chromosome2);
Validate.isTrue(chromosome1.getNumAlleles() == chromosome2.getNumAlleles());
final int alleleSplit = randomGenerator.nextInt(chromosome1.getNumAlleles());
final var floatChromosome1 = (FloatChromosome) chromosome1;
final var floatChromosome2 = (FloatChromosome) chromosome2;
final int numAlleles = chromosome1.getNumAlleles();
final float[] firstChildValues = new float[numAlleles];
final float[] secondChildValues = new float[numAlleles];
for (int i = 0; i < numAlleles; i++) {
if (i < alleleSplit) {
firstChildValues[i] = floatChromosome1.getAllele(i);
secondChildValues[i] = floatChromosome2.getAllele(i);
} else {
firstChildValues[i] = floatChromosome2.getAllele(i);
secondChildValues[i] = floatChromosome1.getAllele(i);
}
}
/**
* TODO Should the min/max values be extended based on the lowest/highest
* values?
*/
final float minValue = floatChromosome1.getMinValue();
final float maxValue = floatChromosome2.getMaxValue();
return List.of(new FloatChromosome(numAlleles, minValue, maxValue, firstChildValues),
new FloatChromosome(numAlleles, minValue, maxValue, secondChildValues));
}
}