Examples with GeneticAlgorithm org.evosuite.ga.metaheuristics.GeneticAlgorithm used on opensource projects

Example 1 with GeneticAlgorithm

use of org.evosuite.ga.metaheuristics.GeneticAlgorithm in project evosuite by EvoSuite.

the class PrivateReflectionSystemTest method testPrivateConstructor.

private TestSuiteChromosome testPrivateConstructor() {
    Properties.P_REFLECTION_ON_PRIVATE = 0.9;
    Properties.REFLECTION_START_PERCENT = 0.0;
    GeneticAlgorithm ga = do100percentLineTestOnStandardCriteriaWithMethodTrace(PrivateConstructor.class);
    TestSuiteChromosome best = (TestSuiteChromosome) ga.getBestIndividual();
    System.out.println("EvolvedTestSuite:\n" + best);
    assertTrue(!best.getTests().isEmpty());
    double cov = best.getCoverageInstanceOf(MethodCoverageSuiteFitness.class);
    Assert.assertEquals("Non-optimal method coverage: ", 1d, cov, 0.001);
    Optional<FitnessFunction<?>> ff = ga.getFitnessFunctions().stream().filter(m -> m instanceof MethodCoverageSuiteFitness).findAny();
    assertEquals(1, best.getNumOfCoveredGoals(ff.get()));
    cov = best.getCoverageInstanceOf(MethodTraceCoverageSuiteFitness.class);
    Assert.assertEquals("Non-optimal method trace coverage: ", 1d, cov, 0.001);
    ff = ga.getFitnessFunctions().stream().filter(m -> m instanceof MethodTraceCoverageSuiteFitness).findAny();
    assertEquals(1, best.getNumOfCoveredGoals(ff.get()));
    return best;
}

Example 2 with GeneticAlgorithm

use of org.evosuite.ga.metaheuristics.GeneticAlgorithm in project evosuite by EvoSuite.

the class NoveltyFitnessEvaluationListener method iteration.

@Override
public void iteration(GeneticAlgorithm<?> algorithm) {
    List<TestChromosome> population = ((GeneticAlgorithm<TestChromosome>) algorithm).getPopulation();
    TestSuiteChromosome suite = createMergedSolution(population);
    for (FitnessFunction fitnessFunction : fitnessFunctions) {
        fitnessFunction.getFitness(suite);
    }
    // Update fitness functions based on goals just added to archive
    algorithm.updateFitnessFunctionsAndValues();
}