/** * * This file is part of EvoSuite. * * EvoSuite is free software: you can redistribute it and/or modify it * under the terms of the GNU Lesser General Public License as published * by the Free Software Foundation, either version 3.0 of the License, or * (at your option) any later version. * * EvoSuite is distributed in the hope that it will be useful, but * WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU * Lesser Public License for more details. * * You should have received a copy of the GNU Lesser General Public * License along with EvoSuite. If not, see <http://www.gnu.org/licenses/>. */ package org.evosuite.ga.metaheuristics.mosa; import java.util.Comparator; import java.util.List; import org.evosuite.Properties; import org.evosuite.ga.Chromosome; import org.evosuite.ga.metaheuristics.mosa.comparators.RankAndCrowdingDistanceComparator; import org.evosuite.ga.operators.selection.SelectionFunction; import org.evosuite.utils.Randomness; /** * Select an individual from a population as winner of a number of tournaments according * to the "non-dominance" relationship and the crowding distance * * @author Annibale Panichella, Fitsum M. Kifetew */ public class MOSATournamentSelection<T extends Chromosome> extends SelectionFunction<T> { private static final long serialVersionUID = -7465418404056357932L; private Comparator<Object> comparator = new RankAndCrowdingDistanceComparator<T>(); /** * {@inheritDoc} * * Perform the tournament on the population, return one index */ @Override public int getIndex(List<T> population) { int new_num = Randomness.nextInt(population.size()); int winner = new_num; int round = 0; while (round < Properties.TOURNAMENT_SIZE - 1) { new_num = Randomness.nextInt(population.size()); if (new_num == winner) new_num = (new_num+1) % population.size(); Chromosome selected = population.get(new_num); int flag = comparator.compare(selected, population.get(winner)); if (flag==-1) { winner = new_num; } round++; } return winner; } @Override public T select(List<T> population) { return population.get(getIndex(population)); } }