Examples with Problem org.evosuite.ga.problems.Problem used on opensource projects

Example 31 with Problem

use of org.evosuite.ga.problems.Problem in project evosuite by EvoSuite.

the class TestBeales method testBealesFitness.

@Test
public void testBealesFitness() {
    Problem p = new Beales();
    FitnessFunction f1 = (FitnessFunction) p.getFitnessFunctions().get(0);
    double[] values = { -2.0, 1.0 };
    NSGAChromosome c = new NSGAChromosome(-4.5, 4.5, values);
    Assert.assertEquals(((DoubleVariable) c.getVariables().get(0)).getValue(), -2.0, 0.0);
    Assert.assertEquals(((DoubleVariable) c.getVariables().get(1)).getValue(), 1.0, 0.0);
    Assert.assertEquals(f1.getFitness(c), 81.703125, 0.0);
}

Example 32 with Problem

use of org.evosuite.ga.problems.Problem in project evosuite by EvoSuite.

the class TestBeales method testBeales.

/**
 * Testing NSGA-II with Beales Problem
 *
 * @throws IOException
 * @throws NumberFormatException
 */
@Test
public void testBeales() throws NumberFormatException, IOException {
    Properties.MUTATION_RATE = 1d / 2d;
    ChromosomeFactory<?> factory = new RandomFactory(false, 2, -4.5, 4.5);
    // GeneticAlgorithm<?> ga = new NSGAII(factory);
    GeneticAlgorithm<?> ga = new NSGAII(factory);
    BinaryTournamentSelectionCrowdedComparison ts = new BinaryTournamentSelectionCrowdedComparison();
    // BinaryTournament ts = new BinaryTournament();
    ga.setSelectionFunction(ts);
    ga.setCrossOverFunction(new SBXCrossover());
    Problem p = new Beales();
    final FitnessFunction f1 = (FitnessFunction) p.getFitnessFunctions().get(0);
    ga.addFitnessFunction(f1);
    // execute
    ga.generateSolution();
    List<Chromosome> chromosomes = (List<Chromosome>) ga.getPopulation();
    Collections.sort(chromosomes, new Comparator<Chromosome>() {

        @Override
        public int compare(Chromosome arg0, Chromosome arg1) {
            return Double.compare(arg0.getFitness(f1), arg1.getFitness(f1));
        }
    });
    for (Chromosome chromosome : chromosomes) Assert.assertEquals(chromosome.getFitness(f1), 0.29, 0.01);
    for (Chromosome chromosome : chromosomes) {
        NSGAChromosome nsga_c = (NSGAChromosome) chromosome;
        DoubleVariable x = (DoubleVariable) nsga_c.getVariables().get(0);
        DoubleVariable y = (DoubleVariable) nsga_c.getVariables().get(1);
        System.out.printf("%f,%f : %f\n", x.getValue(), y.getValue(), chromosome.getFitness(f1));
    }
}

Example 33 with Problem

use of org.evosuite.ga.problems.Problem in project evosuite by EvoSuite.

the class TestShere method testSphere.

/**
 * Testing NSGA-II with Sphere Problem
 *
 * @throws IOException
 * @throws NumberFormatException
 */
@Test
public void testSphere() throws NumberFormatException, IOException {
    Properties.MUTATION_RATE = 1d / 1d;
    ChromosomeFactory<?> factory = new RandomFactory(false, 1, Math.pow(-10.0, 3.0), Math.pow(10.0, 3.0));
    // GeneticAlgorithm<?> ga = new NSGAII(factory);
    GeneticAlgorithm<?> ga = new NSGAII(factory);
    BinaryTournamentSelectionCrowdedComparison ts = new BinaryTournamentSelectionCrowdedComparison();
    // BinaryTournament ts = new BinaryTournament();
    ga.setSelectionFunction(ts);
    ga.setCrossOverFunction(new SBXCrossover());
    Problem p = new Sphere();
    final FitnessFunction f1 = (FitnessFunction) p.getFitnessFunctions().get(0);
    ga.addFitnessFunction(f1);
    // execute
    ga.generateSolution();
    List<Chromosome> chromosomes = (List<Chromosome>) ga.getPopulation();
    Collections.sort(chromosomes, new Comparator<Chromosome>() {

        @Override
        public int compare(Chromosome arg0, Chromosome arg1) {
            return Double.compare(arg0.getFitness(f1), arg1.getFitness(f1));
        }
    });
    for (Chromosome chromosome : chromosomes) Assert.assertEquals(chromosome.getFitness(f1), 0.00, 0.01);
    for (Chromosome chromosome : chromosomes) {
        NSGAChromosome nsga_c = (NSGAChromosome) chromosome;
        DoubleVariable x = (DoubleVariable) nsga_c.getVariables().get(0);
        System.out.printf("%f : %f\n", x.getValue(), chromosome.getFitness(f1));
    }
}