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.kylin.cube.cuboid.algorithm.generic; import org.apache.commons.math3.exception.DimensionMismatchException; import org.apache.commons.math3.exception.MathIllegalArgumentException; import org.apache.commons.math3.exception.util.DummyLocalizable; import org.apache.commons.math3.genetics.Chromosome; import org.apache.commons.math3.genetics.ChromosomePair; import org.apache.commons.math3.genetics.CrossoverPolicy; import org.apache.commons.math3.genetics.GeneticAlgorithm; import java.util.BitSet; /** * Modified from the OnePointCrossover.java in https://github.com/apache/commons-math * <p> * 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. * <p> * 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> * <p> * This policy works only on {@link BitsChromosome}, and therefore it * is parameterized by T. Moreover, the chromosomes must have same lengths. */ public class BitsOnePointCrossover 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. * <p> * 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 IllegalArgumentException if one of the chromosomes is * not an instance of {@link BitsChromosome} * @throws MathIllegalArgumentException 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 BitsChromosome && second instanceof BitsChromosome)) { throw new MathIllegalArgumentException( new DummyLocalizable("bits one-point crossover only works on BitsChromosome")); } return crossover((BitsChromosome) first, (BitsChromosome) 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 BitsChromosome first, final BitsChromosome second) throws DimensionMismatchException { final int length = first.getLength(); if (length != second.getLength()) { throw new DimensionMismatchException(second.getLength(), length); } final BitSet parent1Key = first.getRepresentation(); final BitSet parent2Key = second.getRepresentation(); final BitSet child1Key = new BitSet(length); final BitSet child2Key = new BitSet(length); // select a crossover point at random (0 and length makes no sense) final int crossoverIndex = 1 + (GeneticAlgorithm.getRandomGenerator().nextInt(length - 2)); BitSet a = (BitSet) parent1Key.clone(); a.clear(crossoverIndex, length); BitSet b = (BitSet) parent2Key.clone(); b.clear(0, crossoverIndex); BitSet c = (BitSet) parent1Key.clone(); c.clear(crossoverIndex, length); BitSet d = (BitSet) parent2Key.clone(); d.clear(0, crossoverIndex); child1Key.or(a); child1Key.or(d); child2Key.or(c); child2Key.or(b); return new ChromosomePair(first.newBitsChromosome(child1Key), second.newBitsChromosome(child2Key)); } }