// This program 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 of the License, or // (at your option) any later version. // // This program 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 General Public License for more details. // // You should have received a copy of the GNU Lesser General Public License // along with this program. If not, see <http://www.gnu.org/licenses/>. package org.uma.jmetal.runner.singleobjective; import org.uma.jmetal.algorithm.Algorithm; import org.uma.jmetal.algorithm.singleobjective.geneticalgorithm.GeneticAlgorithmBuilder; import org.uma.jmetal.operator.CrossoverOperator; import org.uma.jmetal.operator.MutationOperator; import org.uma.jmetal.operator.SelectionOperator; import org.uma.jmetal.operator.impl.crossover.PMXCrossover; import org.uma.jmetal.operator.impl.mutation.PermutationSwapMutation; import org.uma.jmetal.operator.impl.selection.BinaryTournamentSelection; import org.uma.jmetal.problem.PermutationProblem; import org.uma.jmetal.problem.singleobjective.TSP; import org.uma.jmetal.solution.PermutationSolution; import org.uma.jmetal.util.AlgorithmRunner; import org.uma.jmetal.util.JMetalLogger; import org.uma.jmetal.util.comparator.RankingAndCrowdingDistanceComparator; import org.uma.jmetal.util.fileoutput.SolutionListOutput; import org.uma.jmetal.util.fileoutput.impl.DefaultFileOutputContext; import java.util.ArrayList; import java.util.List; /** * Class to configure and run a generational genetic algorithm. The target problem is OneMax. * * @author Antonio J. Nebro <antonio@lcc.uma.es> */ public class GenerationalGeneticAlgorithmTSPRunner { /** * Usage: java org.uma.jmetal.runner.singleobjective.BinaryGenerationalGeneticAlgorithmRunner */ public static void main(String[] args) throws Exception { PermutationProblem<PermutationSolution<Integer>> problem; Algorithm<PermutationSolution<Integer>> algorithm; CrossoverOperator<PermutationSolution<Integer>> crossover; MutationOperator<PermutationSolution<Integer>> mutation; SelectionOperator<List<PermutationSolution<Integer>>, PermutationSolution<Integer>> selection; problem = new TSP("/tspInstances/kroA100.tsp"); crossover = new PMXCrossover(0.9) ; double mutationProbability = 1.0 / problem.getNumberOfVariables() ; mutation = new PermutationSwapMutation<Integer>(mutationProbability) ; selection = new BinaryTournamentSelection<PermutationSolution<Integer>>(new RankingAndCrowdingDistanceComparator<PermutationSolution<Integer>>()); algorithm = new GeneticAlgorithmBuilder<>(problem, crossover, mutation) .setPopulationSize(100) .setMaxEvaluations(250000) .setSelectionOperator(selection) .build() ; AlgorithmRunner algorithmRunner = new AlgorithmRunner.Executor(algorithm) .execute() ; PermutationSolution<Integer> solution = algorithm.getResult() ; List<PermutationSolution<Integer>> population = new ArrayList<>(1) ; population.add(solution) ; long computingTime = algorithmRunner.getComputingTime() ; new SolutionListOutput(population) .setSeparator("\t") .setVarFileOutputContext(new DefaultFileOutputContext("VAR.tsv")) .setFunFileOutputContext(new DefaultFileOutputContext("FUN.tsv")) .print(); JMetalLogger.logger.info("Total execution time: " + computingTime + "ms"); JMetalLogger.logger.info("Objectives values have been written to file FUN.tsv"); JMetalLogger.logger.info("Variables values have been written to file VAR.tsv"); } }