SMSEMOA_main.java

//  SMSEMOA_main.java
//
//  Author:
//       Simon Wessing
//
//  Copyright (c) 2011 Simon Wessing
//
//  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/>.
/**
 * SMSEMOA_main.java
 *
 * @author Simon Wessing
 * @version 1.0
 *   This implementation of SMS-EMOA makes use of a QualityIndicator object
 *   to obtained the convergence speed of the algorithm.
 *
 */
package jmetal.metaheuristics.smsemoa;

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.operators.selection.SelectionFactory;
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 SMS-EMOA algorithm. This 
 * implementation of SMS-EMOA makes use of a QualityIndicator object
 * to obtained the convergence speed of the algorithm.
 */
public class SMSEMOA_main {

  public static Logger logger_;      // Logger object
  public static FileHandler fileHandler_; // FileHandler object

  /**
   * @param args Command line arguments.
   * @throws JMException
   * @throws IOException
   * @throws SecurityException
   * Usage: three options
   *      - jmetal.metaheuristics.smsemoa.SMSEMOA_main
   *      - jmetal.metaheuristics.smsemoa.SMSEMOA_main problemName
   *      - jmetal.metaheuristics.smsemoa.SMSEMOA_main problemName paretoFrontFile
   */
  public static void main(String[] args) throws
          JMException,
          SecurityException,
          IOException,
          ClassNotFoundException {
    Problem problem;         // The problem to solve
    Algorithm algorithm;         // The algorithm to use
    Operator crossover;         // Crossover operator
    Operator mutation;         // Mutation operator
    Operator selection;         // Selection 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("SMSEMOA_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 Kursawe("BinaryReal", 3);
      //problem = new Water("Real");
      //problem = new ZDT1("ArrayReal", 100);
      //problem = new ConstrEx("Real");
      //problem = new DTLZ1("Real");
      //problem = new OKA2("Real") ;
    } // else

    algorithm = new SMSEMOA(problem);
    //algorithm = new FastSMSEMOA(problem);

    // Algorithm parameters
    algorithm.setInputParameter("populationSize", 100);
    algorithm.setInputParameter("maxEvaluations", 25000);
    algorithm.setInputParameter("offset", 10.0);

    // 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);

    // Selection Operator
    parameters = null ;
    selection = SelectionFactory.getSelectionOperator("RandomSelection", parameters);
    // also possible
    //selection = SelectionFactory.getSelectionOperator("BinaryTournament2");

    // Add the operators to the algorithm
    algorithm.addOperator("crossover", crossover);
    algorithm.addOperator("mutation", mutation);
    algorithm.addOperator("selection", selection);

    // Add the indicator object to the algorithm
    algorithm.setInputParameter("indicators", indicators);

    // Execute the Algorithm
    long initTime = System.currentTimeMillis();
    SolutionSet population = algorithm.execute();
    long estimatedTime = System.currentTimeMillis() - initTime;

    // Result messages
    logger_.info("Total execution time: " + estimatedTime + "ms");
    logger_.info("Variables values have been written to file VAR");
    population.printVariablesToFile("VAR");
    logger_.info("Objectives values have been written to file FUN");
    population.printObjectivesToFile("FUN");

    if (indicators != null) {
      logger_.info("Quality indicators");
      logger_.info("Hypervolume: " + indicators.getHypervolume(population));
      logger_.info("GD         : " + indicators.getGD(population));
      logger_.info("IGD        : " + indicators.getIGD(population));
      logger_.info("Spread     : " + indicators.getSpread(population));
      logger_.info("Epsilon    : " + indicators.getEpsilon(population));

      int evaluations = ((Integer) algorithm.getOutputParameter("evaluations")).intValue();
      logger_.info("Speed      : " + evaluations + " evaluations");
    } // if
  } //main
} // SMSEMOA_main