📄 mocell_main.java
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/** * MOCell_main.java * * @author Juan J. Durillo * @version 1.0 */package jmetal.metaheuristics.mocell;import java.io.IOException;import java.util.logging.FileHandler;import java.util.logging.Logger;import jmetal.base.*;import jmetal.base.operator.crossover.* ;import jmetal.base.operator.mutation.* ; import jmetal.base.operator.selection.* ;import jmetal.metaheuristics.gde3.GDE3_main;import jmetal.problems.* ;import jmetal.problems.DTLZ.*;import jmetal.problems.ZDT.* ;import jmetal.problems.WFG.* ;import jmetal.util.JMException;public class MOCell_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 */ public static void main(String [] args) throws JMException, SecurityException, IOException { Problem problem ; // The problem to solve Algorithm algorithm ; // The algorithm to use Operator crossover ; // Crossover operator Operator mutation ; // Mutation operator Operator selection ; // Selection operator // Logger object and file to store log messages logger_ = Configuration.logger_ ; fileHandler_ = new FileHandler("MOCell_main.log"); logger_.addHandler(fileHandler_) ; if (args.length == 1) { Object [] params = {"Real"}; problem = (new ProblemFactory()).getProblem(args[0],params); } // if else { // Default problem problem = new Kursawe(3, "Real"); //problem = new Kursawe(3,"BinaryReal"); //problem = new Water("Real"); //problem = new ZDT4("Real"); //problem = new WFG1("Real"); //problem = new DTLZ1("Real"); //problem = new OKA2("Real") ; } // else algorithm = new aMOCell4(problem); /* Algorithm parameters*/ algorithm.setInputParameter("populationSize",100); algorithm.setInputParameter("archiveSize",100); algorithm.setInputParameter("maxEvaluations",25000); algorithm.setInputParameter("feedBack",20); // Mutation and Crossover for Real codification crossover = CrossoverFactory.getCrossoverOperator("SBXCrossover"); crossover.setParameter("probability",0.9); crossover.setParameter("distributionIndex",20.0); mutation = MutationFactory.getMutationOperator("PolynomialMutation"); mutation.setParameter("probability",1.0/problem.getNumberOfVariables()); mutation.setParameter("distributionIndex",20.0); // Mutation and Crossover Binary codification /* crossover = CrossoverFactory.getCrossoverOperator("SinglePointCrossover"); crossover.setParameter("probability",0.95); mutation = MutationFactory.getMutationOperator("BitFlipMutation"); mutation.setParameter("probability",1.0/199.0); */ // Selection Operator selection = SelectionFactory.getSelectionOperator("BinaryTournament") ; // Add the operators to the algorithm algorithm.addOperator("crossover",crossover); algorithm.addOperator("mutation",mutation); algorithm.addOperator("selection",selection); // 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 */ 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}
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