gaussianmutationoperatortest.java

java实现的遗传算法

/*
 * 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.*;

/**
 * Test class for GaussianMutationOperator class
 *
 * @author Klaus Meffert
 * @since 2.0
 */
public class GaussianMutationOperatorTest
    extends JGAPTestCase {
  /** String containing the CVS revision. Read out via reflection!*/
  private static final String CVS_REVISION = "$Revision: 1.9 $";

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

  /**
   * @throws Exception
   *
   * @author Klaus Meffert
   * @since 2.0
   */
  public void testOperate_0()
      throws Exception {
    DefaultConfiguration conf = new DefaultConfiguration();
    GeneticOperator op = new GaussianMutationOperator(0.15d);
    conf.addGeneticOperator(op);
    Genotype.setConfiguration(conf);
    RandomGeneratorForTest rand = new RandomGeneratorForTest();
    rand.setNextDouble(0.45d);
    conf.setRandomGenerator(rand);
    conf.setFitnessFunction(new TestFitnessFunction());
    Gene sampleGene = new IntegerGene(1, 10);
    Chromosome chrom = new Chromosome(sampleGene, 3);
    conf.setSampleChromosome(chrom);
    conf.setPopulationSize(6);
    Gene cgene1 = new IntegerGene(1, 10);
    cgene1.setAllele(new Integer(6));
    Gene[] genes1 = new Gene[] {
        cgene1};
    Chromosome chrom1 = new Chromosome(genes1);
    Gene cgene2 = new IntegerGene(1, 10);
    cgene2.setAllele(new Integer(9));
    Gene[] genes2 = new Gene[] {
        cgene2};
    Chromosome chrom2 = new Chromosome(genes2);
    Chromosome[] population = new Chromosome[] {
        chrom1, chrom2};
    List chroms = new Vector();
    Gene gene1 = new IntegerGene(1, 10);
    gene1.setAllele(new Integer(5));
    chroms.add(gene1);
    Gene gene2 = new IntegerGene(1, 10);
    gene2.setAllele(new Integer(7));
    chroms.add(gene2);
    Gene gene3 = new IntegerGene(1, 10);
    gene3.setAllele(new Integer(4));
    chroms.add(gene3);
    op.operate(new Population(population), chroms);
    Chromosome target = (Chromosome) chroms.get(4);
    assertEquals(Math.round( (10 - 1) * (0.45d * 0.15d) + 9),
                 ( (Integer) target.getGene(0).getAllele()).intValue());
    target = (Chromosome) chroms.get(3);
    assertEquals(Math.round( (10 - 1) * (0.45d * 0.15d) + 6),
                 ( (Integer) target.getGene(0).getAllele()).intValue());
  }

  /**
   * Tests if mutation produces same results for two operate-runs
   * @throws Exception
   *
   * @author Klaus Meffert
   * @since 2.0
   */
  public void testOperate_1()
      throws Exception {
    DefaultConfiguration conf = new DefaultConfiguration();
    GeneticOperator op = new GaussianMutationOperator();
    Genotype.setConfiguration(conf);
    conf.addGeneticOperator(op);
    RandomGeneratorForTest rand = new RandomGeneratorForTest();
    rand.setNextIntSequence(new int[] {
                            0, 1, 0, 1, 2});
    conf.setRandomGenerator(rand);
    conf.setFitnessFunction(new TestFitnessFunction());
    Gene sampleGene = new IntegerGene(1, 10);
    Chromosome chrom = new Chromosome(sampleGene, 3);
    conf.setSampleChromosome(chrom);
    conf.setPopulationSize(6);
    Gene cgene1 = new IntegerGene(1, 10);
    cgene1.setAllele(new Integer(6));
    Gene[] genes1 = new Gene[] {
        cgene1};
    Chromosome chrom1 = new Chromosome(genes1);
    Gene cgene2 = new IntegerGene(1, 10);
    cgene2.setAllele(new Integer(8));
    Gene[] genes2 = new Gene[] {
        cgene2};
    Chromosome chrom2 = new Chromosome(genes2);
    Chromosome[] population = new Chromosome[] {
        chrom1, chrom2};
    List chroms = new Vector();
    Gene gene1 = new IntegerGene(1, 10);
    gene1.setAllele(new Integer(5));
    chroms.add(gene1);
    Gene gene2 = new IntegerGene(1, 10);
    gene2.setAllele(new Integer(7));
    chroms.add(gene2);
    Gene gene3 = new IntegerGene(1, 10);
    gene3.setAllele(new Integer(4));
    chroms.add(gene3);
    Chromosome[] population2 = (Chromosome[]) population.clone();
    op.operate(new Population(population), chroms);
    op.operate(new Population(population2), chroms);
    assertTrue(isChromosomesEqual(population, population2));
  }

  /**
   * Tests if mutation works for CompositeGene
   * @throws Exception
   *
   * @author Klaus Meffert
   * @since 2.1
   */
  public void testOperate_2()
      throws Exception {
    DefaultConfiguration conf = new DefaultConfiguration();
    GeneticOperator op = new GaussianMutationOperator(0.15d);
    conf.addGeneticOperator(op);
    Genotype.setConfiguration(conf);
    RandomGeneratorForTest rand = new RandomGeneratorForTest();
    rand.setNextDouble(0.45d);
    conf.setRandomGenerator(rand);
    conf.setFitnessFunction(new TestFitnessFunction());
    Gene sampleGene = new IntegerGene(1, 10);
    Chromosome chrom = new Chromosome(sampleGene, 3);
    conf.setSampleChromosome(chrom);
    conf.setPopulationSize(6);
    Gene cgene1 = new IntegerGene(1, 10);
    cgene1.setAllele(new Integer(6));
    CompositeGene compGene = new CompositeGene();
    compGene.addGene(cgene1);
    Gene[] genes1 = new Gene[] {
        compGene};
    Chromosome chrom1 = new Chromosome(genes1);
    Gene cgene2 = new IntegerGene(1, 10);
    cgene2.setAllele(new Integer(9));
    Gene[] genes2 = new Gene[] {
        cgene2};
    Chromosome chrom2 = new Chromosome(genes2);
    Chromosome[] population = new Chromosome[] {
        chrom1, chrom2};
    List chroms = new Vector();
    Gene gene1 = new IntegerGene(1, 10);
    gene1.setAllele(new Integer(5));
    chroms.add(gene1);
    Gene gene2 = new IntegerGene(1, 10);
    gene2.setAllele(new Integer(7));
    chroms.add(gene2);
    Gene gene3 = new IntegerGene(1, 10);
    gene3.setAllele(new Integer(4));
    chroms.add(gene3);
    assertEquals(3, chroms.size());
    op.operate(new Population(population), chroms);
    Chromosome target = (Chromosome) chroms.get(4);
    assertEquals(Math.round( (10 - 1) * (0.45d * 0.15d) + 9),
                 ( (Integer) target.getGene(0).getAllele()).intValue());
    target = (Chromosome) chroms.get(3);
    compGene = (CompositeGene)target.getGene(0);
    Gene gene = compGene.geneAt(0);
    assertEquals(Math.round( (10 - 1) * (0.45d * 0.15d) + 6),
                 ( (Integer) gene.getAllele()).intValue());
  }

  /**
   * Tests if population size grows expectedly after two consecutive calls.
   * @throws Exception
   *
   * @author Klaus Meffert
   * @since 2.1
   */
  public void testOperate_4()
      throws Exception {
    DefaultConfiguration conf = new DefaultConfiguration();
    GeneticOperator op = new GaussianMutationOperator(0.15d);
    conf.addGeneticOperator(op);
    Genotype.setConfiguration(conf);
    RandomGeneratorForTest rand = new RandomGeneratorForTest();
    rand.setNextDouble(0.45d);
    conf.setRandomGenerator(rand);
    conf.setFitnessFunction(new TestFitnessFunction());
    Gene sampleGene = new IntegerGene(1, 10);
    Chromosome chrom = new Chromosome(sampleGene, 3);
    conf.setSampleChromosome(chrom);
    conf.setPopulationSize(6);
    Gene cgene1 = new IntegerGene(1, 10);
    cgene1.setAllele(new Integer(6));
    Gene[] genes1 = new Gene[] {
        cgene1};
    Chromosome chrom1 = new Chromosome(genes1);
    Gene cgene2 = new IntegerGene(1, 10);
    cgene2.setAllele(new Integer(9));
    Gene[] genes2 = new Gene[] {
        cgene2};
    Chromosome chrom2 = new Chromosome(genes2);
    Chromosome[] population = new Chromosome[] {
        chrom1, chrom2};
    List chroms = new Vector();
    Gene gene1 = new IntegerGene(1, 10);
    gene1.setAllele(new Integer(5));
    chroms.add(gene1);
    Gene gene2 = new IntegerGene(1, 10);
    gene2.setAllele(new Integer(7));
    chroms.add(gene2);
    Gene gene3 = new IntegerGene(1, 10);
    gene3.setAllele(new Integer(4));
    chroms.add(gene3);
    assertEquals(3, chroms.size());
    Population pop = new Population(population);
    op.operate(pop, chroms);
    assertEquals(2, pop.size());
    assertEquals(3+2, chroms.size());
    op.operate(pop, chroms);
    assertEquals(2, pop.size());
    assertEquals(3+2+2, chroms.size());
  }


}