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);
}
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