Java tutorial
/* * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You under the Apache License, Version 2.0 * (the "License"); you may not use this file except in compliance with * the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package org.apache.commons.math3.genetics; import java.util.ArrayList; import java.util.List; import org.apache.commons.math3.exception.DimensionMismatchException; import org.apache.commons.math3.exception.MathIllegalArgumentException; import org.apache.commons.math3.exception.util.LocalizedFormats; /** * One point crossover policy. A random crossover point is selected and the * first part from each parent is copied to the corresponding child, and the * second parts are copied crosswise. * * Example: * <pre> * -C- denotes a crossover point * -C- -C- * p1 = (1 0 1 0 0 1 | 0 1 1) X p2 = (0 1 1 0 1 0 | 1 1 1) * \------------/ \-----/ \------------/ \-----/ * || (*) || (**) * VV (**) VV (*) * /------------\ /-----\ /------------\ /-----\ * c1 = (1 0 1 0 0 1 | 1 1 1) X c2 = (0 1 1 0 1 0 | 0 1 1) * </pre> * * This policy works only on {@link AbstractListChromosome}, and therefore it * is parameterized by T. Moreover, the chromosomes must have same lengths. * * @param <T> generic type of the {@link AbstractListChromosome}s for crossover * @since 2.0 * @version $Id: OnePointCrossover.java 1416643 2012-12-03 19:37:14Z tn $ * */ public class OnePointCrossover<T> implements CrossoverPolicy { /** * Performs one point crossover. A random crossover point is selected and the * first part from each parent is copied to the corresponding child, and the * second parts are copied crosswise. * * Example: * <pre> * -C- denotes a crossover point * -C- -C- * p1 = (1 0 1 0 0 1 | 0 1 1) X p2 = (0 1 1 0 1 0 | 1 1 1) * \------------/ \-----/ \------------/ \-----/ * || (*) || (**) * VV (**) VV (*) * /------------\ /-----\ /------------\ /-----\ * c1 = (1 0 1 0 0 1 | 1 1 1) X c2 = (0 1 1 0 1 0 | 0 1 1) * </pre> * * @param first first parent (p1) * @param second second parent (p2) * @return pair of two children (c1,c2) * @throws MathIllegalArgumentException iff one of the chromosomes is * not an instance of {@link AbstractListChromosome} * @throws DimensionMismatchException if the length of the two chromosomes is different */ @SuppressWarnings("unchecked") // OK because of instanceof checks public ChromosomePair crossover(final Chromosome first, final Chromosome second) throws DimensionMismatchException, MathIllegalArgumentException { if (!(first instanceof AbstractListChromosome<?> && second instanceof AbstractListChromosome<?>)) { throw new MathIllegalArgumentException(LocalizedFormats.INVALID_FIXED_LENGTH_CHROMOSOME); } return crossover((AbstractListChromosome<T>) first, (AbstractListChromosome<T>) second); } /** * Helper for {@link #crossover(Chromosome, Chromosome)}. Performs the actual crossover. * * @param first the first chromosome. * @param second the second chromosome. * @return the pair of new chromosomes that resulted from the crossover. * @throws DimensionMismatchException if the length of the two chromosomes is different */ private ChromosomePair crossover(final AbstractListChromosome<T> first, final AbstractListChromosome<T> second) throws DimensionMismatchException { final int length = first.getLength(); if (length != second.getLength()) { throw new DimensionMismatchException(second.getLength(), length); } // array representations of the parents final List<T> parent1Rep = first.getRepresentation(); final List<T> parent2Rep = second.getRepresentation(); // and of the children final ArrayList<T> child1Rep = new ArrayList<T>(first.getLength()); final ArrayList<T> child2Rep = new ArrayList<T>(second.getLength()); // select a crossover point at random (0 and length makes no sense) final int crossoverIndex = 1 + (GeneticAlgorithm.getRandomGenerator().nextInt(length - 2)); // copy the first part for (int i = 0; i < crossoverIndex; i++) { child1Rep.add(parent1Rep.get(i)); child2Rep.add(parent2Rep.get(i)); } // and switch the second part for (int i = crossoverIndex; i < length; i++) { child1Rep.add(parent2Rep.get(i)); child2Rep.add(parent1Rep.get(i)); } return new ChromosomePair(first.newFixedLengthChromosome(child1Rep), second.newFixedLengthChromosome(child2Rep)); } }