// ES_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.singleObjective.evolutionStrategy; import jmetal.core.Algorithm; import jmetal.core.Operator; import jmetal.core.Problem; import jmetal.core.SolutionSet; import jmetal.operators.mutation.MutationFactory; import jmetal.problems.singleObjective.OneMax; import jmetal.util.JMException; import java.util.HashMap; /** * This class runs a single-objective Evolution Strategy (ES). The ES can be * a (mu+lambda) ES (class ElitistES) or a (mu,lambda) ES (class NonElitistGA). * The OneMax problem is used to test the algorithms. */ public class ES_main { public static void main(String [] args) throws JMException, ClassNotFoundException { Problem problem ; // The problem to solve Algorithm algorithm ; // The algorithm to use Operator mutation ; // Mutation operator HashMap parameters ; // Operator parameters int bits ; // Length of bit string in the OneMax problem bits = 512 ; problem = new OneMax("Binary", bits); int mu ; int lambda ; // Requirement: lambda must be divisible by mu mu = 1 ; lambda = 10 ; algorithm = new ElitistES(problem, mu, lambda); //algorithm = new NonElitistES(problem, mu, lambda); /* Algorithm params*/ algorithm.setInputParameter("maxEvaluations", 20000); /* Mutation and Crossover for Real codification */ parameters = new HashMap() ; parameters.put("probability", 1.0/bits) ; mutation = MutationFactory.getMutationOperator("BitFlipMutation", parameters); 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); /* Log messages */ System.out.println("Objectives values have been writen to file FUN"); population.printObjectivesToFile("FUN"); System.out.println("Variables values have been writen to file VAR"); population.printVariablesToFile("VAR"); }//main } // ES_main