greedycrossovertest.java

JGAP（发音"jay-gap"）是一款用Java编写的遗传算法包。提供了基本的遗传算法.你可以使用它来解决一些适用于遗传算法解决的问题.

/*
 * This file is part of JGAP.
 *
 * JGAP offers a dual license model containing the LGPL as well as the MPL.
 *
 * For licencing information please see the file license.txt included with JGAP
 * or have a look at the top of class org.jgap.Chromosome which representatively
 * includes the JGAP license policy applicable for any file delivered with JGAP.
 */
package org.jgap.impl;

import java.util.*;
import org.jgap.*;
import junit.framework.*;

/**
 * Teste the GreedyCrossover class.
 *
 * @author Klaus Meffert
 * @since 2.1
 */
public class GreedyCrossoverTest
    extends JGAPTestCase {
  /** String containing the CVS revision. Read out via reflection!*/
  private static final String CVS_REVISION = "$Revision: 1.20 $";

  public static Test suite() {
    TestSuite suite = new TestSuite(GreedyCrossoverTest.class);
    return suite;
  }

  public void setUp() {
    super.setUp();
    Configuration.reset();
  }

  /**
   * @throws Exception
   *
   * @author Klaus Meffert
   * @since 2.1
   */
  public void testOperate_0()
      throws Exception {
    DefaultConfiguration conf = new DefaultConfiguration();
    RandomGeneratorForTest rand = new RandomGeneratorForTest();
    rand.setNextIntSequence(new int[] {
                            0, 1, 0, 1, 2});
    conf.setRandomGenerator(rand);
    conf.setFitnessFunction(new TestFitnessFunction());
    Gene sampleGene = new IntegerGene(conf, 1, 10);
    Chromosome chrom = new Chromosome(conf, sampleGene, 3);
    conf.setSampleChromosome(chrom);
    conf.setPopulationSize(6);
    GreedyCrossover op = new GreedyCrossover(conf);
    op.ASSERTIONS = true;
    op.setStartOffset(0);
    Gene cgene1 = new IntegerGene(conf, 1, 10);
    cgene1.setAllele(new Integer(6));
    Gene cgene2 = new IntegerGene(conf, 1, 10);
    cgene2.setAllele(new Integer(8));
    Gene[] genes1 = new Gene[] {
        cgene1, cgene2};
    Chromosome chrom1 = new Chromosome(conf, genes1);
    Gene[] genes2 = new Gene[] {
        cgene2, cgene1};
    Chromosome chrom2 = new Chromosome(conf, genes2);
    Chromosome[] population = new Chromosome[] {
        chrom1, chrom2};
    List chroms = new Vector();
    Gene gene1 = new IntegerGene(conf, 1, 10);
    gene1.setAllele(new Integer(5));
    chroms.add(gene1);
    Gene gene2 = new IntegerGene(conf, 1, 10);
    gene2.setAllele(new Integer(7));
    chroms.add(gene2);
    Gene gene3 = new IntegerGene(conf, 1, 10);
    gene3.setAllele(new Integer(4));
    chroms.add(gene3);
    op.operate(new Population(conf, population), chroms);
    assertEquals(5, chroms.size());
    Chromosome target = (Chromosome) chroms.get(4);
    assertEquals(8, ( (Integer) target.getGene(0).getAllele()).intValue());
    target = (Chromosome) chroms.get(3);
    assertEquals(6, ( (Integer) target.getGene(0).getAllele()).intValue());
  }

  /**
   * Same as testOperate_0 except op.setStartOffset(1) instead of 0.
   * @throws Exception
   *
   * @author Klaus Meffert
   * @since 2.1
   */
  public void testOperate_1()
      throws Exception {
    DefaultConfiguration conf = new DefaultConfiguration();
    RandomGeneratorForTest rand = new RandomGeneratorForTest();
    rand.setNextIntSequence(new int[] {
                            0, 1, 0, 1, 2});
    conf.setRandomGenerator(rand);
    conf.setFitnessFunction(new TestFitnessFunction());
    Gene sampleGene = new IntegerGene(conf, 1, 10);
    Chromosome chrom = new Chromosome(conf, sampleGene, 3);
    conf.setSampleChromosome(chrom);
    conf.setPopulationSize(6);
    GreedyCrossover op = new GreedyCrossover(conf);
    op.ASSERTIONS = true;
    op.setStartOffset(1);
    Gene cgene1 = new IntegerGene(conf, 1, 10);
    cgene1.setAllele(new Integer(6));
    Gene cgene2 = new IntegerGene(conf, 1, 10);
    cgene2.setAllele(new Integer(8));
    Gene[] genes1 = new Gene[] {
        cgene1, cgene2};
    Chromosome chrom1 = new Chromosome(conf, genes1);
    Gene[] genes2 = new Gene[] {
        cgene2, cgene1};
    Chromosome chrom2 = new Chromosome(conf, genes2);
    Chromosome[] population = new Chromosome[] {
        chrom1, chrom2};
    List chroms = new Vector();
    Gene gene1 = new IntegerGene(conf, 1, 10);
    gene1.setAllele(new Integer(5));
    chroms.add(gene1);
    Gene gene2 = new IntegerGene(conf, 1, 10);
    gene2.setAllele(new Integer(7));
    chroms.add(gene2);
    try {
      op.operate(new Population(conf, population), chroms);
      fail();
    }
    catch (Error e) {
      ; //this is OK
    }
  }

  /**
   * Test with CompositeGene.
   * @throws Exception
   *
   * @author Klaus Meffert
   * @since 2.1
   */
  public void testOperate_2()
      throws Exception {
    DefaultConfiguration conf = new DefaultConfiguration();
    RandomGeneratorForTest rand = new RandomGeneratorForTest();
    rand.setNextIntSequence(new int[] {
                            0, 1, 0, 1, 2});
    conf.setRandomGenerator(rand);
    conf.setFitnessFunction(new TestFitnessFunction());
    GreedyCrossover op = new GreedyCrossover(conf);
    op.ASSERTIONS = true;
    Gene sampleGene = new IntegerGene(conf, 1, 10);
    Chromosome chrom = new Chromosome(conf, sampleGene, 3);
    conf.setSampleChromosome(chrom);
    conf.setPopulationSize(6);
    Gene cgene1 = new IntegerGene(conf, 1, 10);
    cgene1.setAllele(new Integer(6));
    CompositeGene compGene = new CompositeGene(conf);
    compGene.addGene(cgene1);
    Gene cgene2 = new IntegerGene(conf, 1, 10);
    cgene2.setAllele(new Integer(8));
    Gene[] genes1 = new Gene[] {
        cgene1, cgene2};
    Chromosome chrom1 = new Chromosome(conf, genes1);
    Gene[] genes2 = new Gene[] {
        cgene1, cgene2, cgene1};
    Chromosome chrom2 = new Chromosome(conf, genes2);
    Chromosome[] population = new Chromosome[] {
        chrom1, chrom2};
    List chroms = new Vector();
    Gene gene1 = new IntegerGene(conf, 1, 10);
    gene1.setAllele(new Integer(5));
    chroms.add(gene1);
    try {
      op.operate(new Population(conf, population), chroms);
      fail();
    }
    catch (Error e) {
      ; //this is OK
    }
  }

  /**
   * Test with CompositeGene and two identical Genes in a Chromosome.
   * @throws Exception
   *
   * @author Klaus Meffert
   * @since 2.1
   */
  public void testOperate_3()
      throws Exception {
    DefaultConfiguration conf = new DefaultConfiguration();
    RandomGeneratorForTest rand = new RandomGeneratorForTest();
    rand.setNextIntSequence(new int[] {
                            0, 1, 0, 1, 2});
    conf.setRandomGenerator(rand);
    conf.setFitnessFunction(new TestFitnessFunction());
    GreedyCrossover op = new GreedyCrossover(conf);
    op.ASSERTIONS = true;
    op.setStartOffset(0);
    Gene sampleGene = new IntegerGene(conf, 1, 10);
    Chromosome chrom = new Chromosome(conf, sampleGene, 3);
    conf.setSampleChromosome(chrom);
    conf.setPopulationSize(6);
    Gene cgene1 = new IntegerGene(conf, 1, 10);
    cgene1.setAllele(new Integer(6));
    CompositeGene compGene = new CompositeGene(conf);
    compGene.addGene(cgene1);
    Gene cgene2 = new IntegerGene(conf, 1, 10);
    cgene2.setAllele(new Integer(8));
    Gene[] genes1 = new Gene[] {
        compGene, cgene1, cgene1};
    Chromosome chrom1 = new Chromosome(conf, genes1);
    Gene[] genes2 = new Gene[] {
        compGene, cgene1, cgene1};
    Chromosome chrom2 = new Chromosome(conf, genes2);
    Chromosome[] population = new Chromosome[] {
        chrom1, chrom2};
    List chroms = new Vector();
    Gene gene1 = new IntegerGene(conf, 1, 10);
    gene1.setAllele(new Integer(5));
    chroms.add(gene1);
    Gene gene2 = new IntegerGene(conf, 1, 10);
    gene2.setAllele(new Integer(7));
    chroms.add(gene2);
    Gene gene3 = new IntegerGene(conf, 1, 10);
    gene3.setAllele(new Integer(4));
    chroms.add(gene3);
    try {
      op.operate(new Population(conf, population), chroms);
      fail();
    }
    catch (Error e) {
      ; //this is OK
    }
  }

  /**
   * Test the example from the literature.
   * This test tests the crossover main algorithm, not the whole operator.
   * @throws Exception
   *
   * @author Audrius Meskauskas
   * @since 2.1
   */
  public void testOperate_4()
      throws Exception {
    Configuration conf = new DefaultConfiguration();
    conf.setFitnessFunction(new TestFitnessFunction());
    GreedyCrossover cross = new GreedyCrossover(conf) {
      /* Computes the distances how it was described in the
         literature example */
      public double distance(Object a_from, Object a_to) {
        IntegerGene from = (IntegerGene) a_from;
        IntegerGene to = (IntegerGene) a_to;
        int a = from.intValue();
        int b = to.intValue();