/*
* This file is part of JGAP.
*
* JGAP offers a dual license model containing the LGPL as well as the MPL.
*
* For licensing 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.*;
/**
* Tests the AveragingCrossoverOperator class.
*
* @author Klaus Meffert
* @since 2.0
*/
public class AveragingCrossoverOperatorTest
extends JGAPTestCase {
/** String containing the CVS revision. Read out via reflection!*/
private static final String CVS_REVISION = "$Revision: 1.23 $";
public static Test suite() {
TestSuite suite = new TestSuite(AveragingCrossoverOperatorTest.class);
return suite;
}
public void setUp() {
super.setUp();
Configuration.reset();
}
/**
* @throws Exception
*
* @author Klaus Meffert
* @since 2.0
*/
public void testOperate_0()
throws Exception {
// conf.addGeneticOperator(op);
RandomGeneratorForTesting rand = new RandomGeneratorForTesting();
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);
Gene cgene1 = new IntegerGene(conf, 1, 10);
cgene1.setAllele(new Integer(6));
Gene[] genes1 = new Gene[] {
cgene1};
Chromosome chrom1 = new Chromosome(conf, genes1);
Gene cgene2 = new IntegerGene(conf, 1, 10);
cgene2.setAllele(new Integer(8));
Gene[] genes2 = new Gene[] {
cgene2};
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);
GeneticOperator op = new AveragingCrossoverOperator(conf);
op.operate(new Population(conf, population), chroms);
assertEquals(5, chroms.size());
Chromosome target = (Chromosome) chroms.get(4);
assertEquals(6, ( (Integer) target.getGene(0).getAllele()).intValue());
target = (Chromosome) chroms.get(3);
assertEquals(8, ( (Integer) target.getGene(0).getAllele()).intValue());
}
/**
* Tests if crossing over 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();
// conf.addGeneticOperator(op);
RandomGeneratorForTesting rand = new RandomGeneratorForTesting();
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);
Gene cgene1 = new IntegerGene(conf, 1, 10);
cgene1.setAllele(new Integer(6));
Gene[] genes1 = new Gene[] {
cgene1};
Chromosome chrom1 = new Chromosome(conf, genes1);
Gene cgene2 = new IntegerGene(conf, 1, 10);
cgene2.setAllele(new Integer(8));
Gene[] genes2 = new Gene[] {
cgene2};
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);
Chromosome[] population2 = (Chromosome[]) population.clone();
GeneticOperator op = new AveragingCrossoverOperator(conf);
op.operate(new Population(conf, population), chroms);
op.operate(new Population(conf, population2), chroms);
assertTrue(isChromosomesEqual(population, population2));
}
/**
* Using CompositeGene as first crossover candidate.
* @throws Exception
*
* @author Klaus Meffert
* @since 2.0
*/
public void testOperate_2()
throws Exception {
DefaultConfiguration conf = new DefaultConfiguration();
// conf.addGeneticOperator(op);
RandomGeneratorForTesting rand = new RandomGeneratorForTesting();
rand.setNextIntSequence(new int[] {
0, 1, 0, 1, 2});
conf.setRandomGenerator(rand);
conf.setFitnessFunction(new TestFitnessFunction());
Gene sampleGene = new IntegerGene(conf, 1, 10);
CompositeGene compGene = new CompositeGene(conf);
compGene.addGene(sampleGene);
Chromosome chrom = new Chromosome(conf, compGene, 3);
conf.setSampleChromosome(chrom);
conf.setPopulationSize(6);
Gene cgene1 = new IntegerGene(conf, 1, 10);
cgene1.setAllele(new Integer(6));
compGene = new CompositeGene(conf);
compGene.addGene(cgene1);
Gene[] genes1 = new Gene[] {
compGene};
Chromosome chrom1 = new Chromosome(conf, genes1);
Gene cgene2 = new IntegerGene(conf, 1, 10);
cgene2.setAllele(new Integer(8));
Gene[] genes2 = new Gene[] {
cgene2};
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);
GeneticOperator op = new AveragingCrossoverOperator(conf);
op.operate(new Population(conf, population), chroms);
assertEquals(5, chroms.size());
Chromosome target = (Chromosome) chroms.get(4);
assertEquals(6, ( (Integer) target.getGene(0).getAllele()).intValue());
target = (Chromosome) chroms.get(3);
CompositeGene result = (CompositeGene) target.getGene(0);
assertEquals(8, ( (Integer) ( (Vector) result.getAllele()).get(0))
.intValue());
}
/**
* Considers crossover rate calculator
* @throws Exception
*
* @author Klaus Meffert
* @since 2.6
*/
public void testOperate_3()
throws Exception {
DefaultConfiguration conf = new DefaultConfiguration();
// conf.addGeneticOperator(op);
RandomGeneratorForTesting rand = new RandomGeneratorForTesting();
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, 2);
conf.setSampleChromosome(chrom);
conf.setPopulationSize(6);
Gene cgene1 = new IntegerGene(conf, 1, 10);
cgene1.setAllele(new Integer(6));
Gene[] genes1 = new Gene[] {
cgene1};
Chromosome chrom1 = new Chromosome(conf, genes1);
Gene cgene2 = new IntegerGene(conf, 1, 10);
cgene2.setAllele(new Integer(8));
Gene[] genes2 = new Gene[] {
cgene2};
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);
GeneticOperator op = new AveragingCrossoverOperator(conf, new
DefaultCrossoverRateCalculator(conf));
op.operate(new Population(conf, population), chroms);
assertEquals(3 + 2, chroms.size());
Chromosome target = (Chromosome) chroms.get(4);
assertEquals(6, ( (Integer) target.getGene(0).getAllele()).intValue());
target = (Chromosome) chroms.get(3);
assertEquals(8, ( (Integer) target.getGene(0).getAllele()).intValue());
op.operate(new Population(conf, population), chroms);
assertEquals(3 + 2 + 2, chroms.size());
}
/**
* Using CompositeGene as second crossover candidate.
* @throws Exception
*
* @author Klaus Meffert
* @since 2.6
*/
public void testOperate_4()
throws Exception {
// conf.addGeneticOperator(op);
RandomGeneratorForTesting rand = new RandomGeneratorForTesting();
rand.setNextIntSequence(new int[] {
0, 1, 0, 1, 2});
conf.setRandomGenerator(rand);
conf.setFitnessFunction(new TestFitnessFunction());
Gene sampleGene = new IntegerGene(conf, 1, 10);
CompositeGene compGene = new CompositeGene(conf);
compGene.addGene(sampleGene);
Chromosome chrom = new Chromosome(conf, compGene, 3);
conf.setSampleChromosome(chrom);
conf.setPopulationSize(6);
Gene cgene1 = new IntegerGene(conf, 1, 10);
cgene1.setAllele(new Integer(6));
compGene = new CompositeGene(conf);
compGene.addGene(cgene1);
Gene[] genes1 = new Gene[] {
compGene};
Chromosome chrom1 = new Chromosome(conf, genes1);
Gene cgene2 = new IntegerGene(conf, 1, 10);
cgene2.setAllele(new Integer(8));
Gene[] genes2 = new Gene[] {
cgene2};
Chromosome chrom2 = new Chromosome(conf, genes2);
Chromosome[] population = new Chromosome[] {
chrom2, chrom1};
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);
GeneticOperator op = new AveragingCrossoverOperator(conf);
op.operate(new Population(conf, population), chroms);
assertEquals(5, chroms.size());
Chromosome target = (Chromosome) chroms.get(3);
assertEquals(6, ( (Integer) target.getGene(0).getAllele()).intValue());
target = (Chromosome) chroms.get(4);
CompositeGene result = (CompositeGene) target.getGene(0);
assertEquals(8, ( (Integer) ( (Vector) result.getAllele()).get(0))
.intValue());
}
/**
* Following should be possible without exception.
* @throws Exception
*
* @author Klaus Meffert
* @since 2.2
*/
public void testConstruct_0()
throws Exception {
DefaultConfiguration conf = new DefaultConfiguration();
new AveragingCrossoverOperator(conf, (RandomGenerator)null);
}
/**
* Following should be possible without exception.
* @throws Exception
*
* @author Klaus Meffert
* @since 2.2
*/
public void testConstruct_1()
throws Exception {
DefaultConfiguration conf = new DefaultConfiguration();
new AveragingCrossoverOperator(conf, (IUniversalRateCalculator)null);
}
/**
* @throws Exception
*
* @author Klaus Meffert
* @since 3.1
*/
public void testConstruct_2()
throws Exception {
Genotype.setStaticConfiguration(conf);
AveragingCrossoverOperator op = new AveragingCrossoverOperator();
assertSame(conf, op.getConfiguration());
}
/**
* Ensures Object is implementing Serializable.
* @throws Exception
*
* @author Klaus Meffert
* @since 2.6
*/
public void testIsSerializable_0()
throws Exception {
AveragingCrossoverOperator op = new AveragingCrossoverOperator(conf);
assertTrue(isSerializable(op));
}
/**
* Ensures that Object and all objects contained implement Serializable
* @throws Exception
*
* @author Klaus Meffert
* @since 2.6
*/
public void testDoSerialize_0()
throws Exception {
// construct object to be serialized
IUniversalRateCalculator calc = new DefaultCrossoverRateCalculator(conf);
AveragingCrossoverOperator op = new AveragingCrossoverOperator(conf, calc);
Object o = doSerialize(op);
assertEquals(o, op);
}
/**
* Test equals with classcast object.
* @throws Exception
*
* @author Klaus Meffert
* @since 2.6
*/
public void testEquals_0()
throws Exception {
GeneticOperator op = new AveragingCrossoverOperator(conf);
assertFalse(op.equals(new Chromosome(conf)));
}
/**
* @throws Exception
*
* @author Klaus Meffert
* @since 2.6
*/
public void testCompareTo_0()
throws Exception {
AveragingCrossoverOperator op = new AveragingCrossoverOperator(conf);
assertEquals(1, op.compareTo(null));
AveragingCrossoverOperator op2 = new AveragingCrossoverOperator(conf);
assertEquals(0, op.compareTo(op2));
op = new AveragingCrossoverOperator(conf, new StockRandomGenerator());
assertEquals(0, op.compareTo(op2));
assertEquals(0, op2.compareTo(op));
op = new AveragingCrossoverOperator(conf,
new DefaultCrossoverRateCalculator(conf));
assertEquals(1, op.compareTo(op2));
assertEquals( -1, op2.compareTo(op));
op2 = new AveragingCrossoverOperator(conf,
new
DefaultCrossoverRateCalculator(conf));
assertEquals(0, op.compareTo(op2));
}
/**
* Crossover rate (setter introduced in 2.6).
* @throws Exception
*
* @author Klaus Meffert
* @since 2.6
*/
public void testCompareTo_1()
throws Exception {
AveragingCrossoverOperator op = new AveragingCrossoverOperator(conf);
op.setCrossoverRate(3);
assertEquals(1, op.compareTo(null));
AveragingCrossoverOperator op2 = new AveragingCrossoverOperator(conf);
assertEquals(1, op.compareTo(op2));
assertEquals( -1, op2.compareTo(op));
op2.setCrossoverRate(3);
assertEquals(0, op.compareTo(op2));
op = new AveragingCrossoverOperator(conf, new StockRandomGenerator());
assertEquals( -1, op.compareTo(op2));
assertEquals(1, op2.compareTo(op));
}
}