// PESA2_main.java // // Author: // Antonio J. Nebro <antonio@lcc.uma.es> // Juan J. Durillo <durillo@lcc.uma.es> // // Copyright (c) 2011 Antonio J. Nebro, Juan J. Durillo // // 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 jmetal.metaheuristics.pesa2; import jmetal.core.Algorithm; import jmetal.core.Operator; import jmetal.core.Problem; import jmetal.core.SolutionSet; import jmetal.operators.crossover.CrossoverFactory; import jmetal.operators.mutation.MutationFactory; import jmetal.problems.Kursawe; import jmetal.problems.ProblemFactory; import jmetal.qualityIndicator.QualityIndicator; import jmetal.util.Configuration; import jmetal.util.JMException; import java.io.IOException; import java.util.HashMap; import java.util.logging.FileHandler; import java.util.logging.Logger; /** * Class for configuring and running the PESA2 algorithm */ public class PESA2_main { public static Logger logger_ ; // Logger object public static FileHandler fileHandler_ ; // FileHandler object /** * @param args Command line arguments. The first (optional) argument specifies * the problem to solve. * @throws JMException * @throws IOException * @throws SecurityException * Usage: three options * - jmetal.metaheuristics.mocell.MOCell_main * - jmetal.metaheuristics.mocell.MOCell_main problemName * - jmetal.metaheuristics.mocell.MOCell_main problemName ParetoFrontFile */ public static void main(String [] args) throws JMException, IOException, ClassNotFoundException { Problem problem ; // The problem to solve Algorithm algorithm ; // The algorithm to use Operator crossover ; // Crossover operator Operator mutation ; // Mutation operator QualityIndicator indicators ; // Object to get quality indicators HashMap parameters ; // Operator parameters // Logger object and file to store log messages logger_ = Configuration.logger_ ; fileHandler_ = new FileHandler("PESA2_main.log"); logger_.addHandler(fileHandler_) ; indicators = null ; if (args.length == 1) { Object [] params = {"Real"}; problem = (new ProblemFactory()).getProblem(args[0],params); } // if else if (args.length == 2) { Object [] params = {"Real"}; problem = (new ProblemFactory()).getProblem(args[0],params); indicators = new QualityIndicator(problem, args[1]) ; } // if else { // Default problem problem = new Kursawe("Real", 3); //problem = new Water("Real"); //problem = new ZDT1("ArrayReal", 1000); //problem = new ZDT4("BinaryReal"); //problem = new WFG1("Real"); //problem = new DTLZ1("Real"); //problem = new OKA2("Real") ; } // else algorithm = new PESA2(problem); // Algorithm parameters algorithm.setInputParameter("populationSize",10); algorithm.setInputParameter("archiveSize",100); algorithm.setInputParameter("bisections",5); algorithm.setInputParameter("maxEvaluations",25000); // Mutation and Crossover for Real codification parameters = new HashMap() ; parameters.put("probability", 0.9) ; parameters.put("distributionIndex", 20.0) ; crossover = CrossoverFactory.getCrossoverOperator("SBXCrossover", parameters); parameters = new HashMap() ; parameters.put("probability", 1.0/problem.getNumberOfVariables()) ; parameters.put("distributionIndex", 20.0) ; mutation = MutationFactory.getMutationOperator("PolynomialMutation", parameters); // Mutation and Crossover Binary codification /* crossover = CrossoverFactory.getCrossoverOperator("SinglePointCrossover"); crossover.setParameter("probability",0.9); mutation = MutationFactory.getMutationOperator("BitFlipMutation"); mutation.setParameter("probability",1.0/80); */ // Add the operators to the algorithm algorithm.addOperator("crossover",crossover); algorithm.addOperator("mutation",mutation); // Execute the Algorithm long initTime = System.currentTimeMillis(); SolutionSet population = algorithm.execute(); long estimatedTime = System.currentTimeMillis() - initTime; System.out.println("Total execution time: "+estimatedTime); // Result messages logger_.info("Total execution time: "+estimatedTime); logger_.info("Objectives values have been writen to file FUN"); population.printObjectivesToFile("FUN"); logger_.info("Variables values have been writen to file VAR"); population.printVariablesToFile("VAR"); }//main } // PESA2_main