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Example 1 with SCH

use of org.evosuite.ga.problems.multiobjective.SCH in project evosuite by EvoSuite.

the class NSGAIISystemTest method testCrowingDistanceAssignment_SeveralVariables.

@Test
public void testCrowingDistanceAssignment_SeveralVariables() {
    NSGAII<NSGAChromosome> ga = new NSGAII<NSGAChromosome>(null);
    Problem p = new SCH();
    List<FitnessFunction<NSGAChromosome>> fitnessFunctions = p.getFitnessFunctions();
    ga.addFitnessFunctions(fitnessFunctions);
    NSGAChromosome c1 = new NSGAChromosome();
    NSGAChromosome c2 = new NSGAChromosome();
    NSGAChromosome c3 = new NSGAChromosome();
    NSGAChromosome c4 = new NSGAChromosome();
    NSGAChromosome c5 = new NSGAChromosome();
    NSGAChromosome c6 = new NSGAChromosome();
    NSGAChromosome c7 = new NSGAChromosome();
    NSGAChromosome c8 = new NSGAChromosome();
    NSGAChromosome c9 = new NSGAChromosome();
    NSGAChromosome c10 = new NSGAChromosome();
    // Set Fitness 1
    c1.setFitness(fitnessFunctions.get(0), 0.0);
    c2.setFitness(fitnessFunctions.get(0), 0.2);
    c3.setFitness(fitnessFunctions.get(0), 0.4);
    c4.setFitness(fitnessFunctions.get(0), 0.6);
    c5.setFitness(fitnessFunctions.get(0), 0.8);
    c6.setFitness(fitnessFunctions.get(0), 0.0);
    c7.setFitness(fitnessFunctions.get(0), 0.2);
    c8.setFitness(fitnessFunctions.get(0), 0.4);
    c9.setFitness(fitnessFunctions.get(0), 0.6);
    c10.setFitness(fitnessFunctions.get(0), 0.8);
    // Set Fitness 2
    c1.setFitness(fitnessFunctions.get(1), 0.1);
    c2.setFitness(fitnessFunctions.get(1), 0.3);
    c3.setFitness(fitnessFunctions.get(1), 0.5);
    c4.setFitness(fitnessFunctions.get(1), 0.7);
    c5.setFitness(fitnessFunctions.get(1), 0.9);
    c6.setFitness(fitnessFunctions.get(1), 0.1);
    c7.setFitness(fitnessFunctions.get(1), 0.3);
    c8.setFitness(fitnessFunctions.get(1), 0.5);
    c9.setFitness(fitnessFunctions.get(1), 0.7);
    c10.setFitness(fitnessFunctions.get(1), 0.9);
    List<NSGAChromosome> population = new ArrayList<NSGAChromosome>();
    population.add(c1);
    population.add(c2);
    population.add(c3);
    population.add(c4);
    population.add(c5);
    population.add(c6);
    population.add(c7);
    population.add(c8);
    population.add(c9);
    population.add(c10);
    ga.crowingDistanceAssignment(population);
    Collections.sort(population, new CrowdingComparator(true));
    Assert.assertTrue(population.get(0).getDistance() == Double.POSITIVE_INFINITY);
    Assert.assertTrue(population.get(1).getDistance() == Double.POSITIVE_INFINITY);
    double epsilon = 1e-10;
    Assert.assertTrue(Math.abs(0.5 - population.get(2).getDistance()) < epsilon);
    Assert.assertTrue(Math.abs(0.5 - population.get(3).getDistance()) < epsilon);
    Assert.assertTrue(Math.abs(0.5 - population.get(4).getDistance()) < epsilon);
    Assert.assertTrue(Math.abs(0.5 - population.get(5).getDistance()) < epsilon);
    Assert.assertTrue(Math.abs(0.5 - population.get(6).getDistance()) < epsilon);
    Assert.assertTrue(Math.abs(0.5 - population.get(7).getDistance()) < epsilon);
    Assert.assertTrue(Math.abs(0.5 - population.get(8).getDistance()) < epsilon);
    Assert.assertTrue(Math.abs(0.5 - population.get(9).getDistance()) < epsilon);
}
Also used : NSGAChromosome(org.evosuite.ga.NSGAChromosome) ArrayList(java.util.ArrayList) CrowdingComparator(org.evosuite.ga.comparators.CrowdingComparator) SCH(org.evosuite.ga.problems.multiobjective.SCH) Problem(org.evosuite.ga.problems.Problem) FitnessFunction(org.evosuite.ga.FitnessFunction) Test(org.junit.Test)

Aggregations

ArrayList (java.util.ArrayList)1 FitnessFunction (org.evosuite.ga.FitnessFunction)1 NSGAChromosome (org.evosuite.ga.NSGAChromosome)1 CrowdingComparator (org.evosuite.ga.comparators.CrowdingComparator)1 Problem (org.evosuite.ga.problems.Problem)1 SCH (org.evosuite.ga.problems.multiobjective.SCH)1 Test (org.junit.Test)1