org.uma.jmetal.runner.multiobjective.MOEADRunner Maven / Gradle / Ivy

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Runners classes
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package org.uma.jmetal.runner.multiobjective;

import org.uma.jmetal.algorithm.Algorithm;
import org.uma.jmetal.algorithm.multiobjective.moead.AbstractMOEAD;
import org.uma.jmetal.algorithm.multiobjective.moead.MOEADBuilder;
import org.uma.jmetal.operator.MutationOperator;
import org.uma.jmetal.operator.impl.crossover.DifferentialEvolutionCrossover;
import org.uma.jmetal.operator.impl.mutation.PolynomialMutation;
import org.uma.jmetal.problem.DoubleProblem;
import org.uma.jmetal.solution.DoubleSolution;
import org.uma.jmetal.util.AbstractAlgorithmRunner;
import org.uma.jmetal.util.AlgorithmRunner;
import org.uma.jmetal.util.JMetalLogger;
import org.uma.jmetal.util.ProblemUtils;
import org.uma.jmetal.util.pseudorandom.JMetalRandom;

import java.io.FileNotFoundException;
import java.util.List;

/**
 * Class for configuring and running the MOEA/D algorithm
 *
 * @author Antonio J. Nebro 
 */
public class MOEADRunner extends AbstractAlgorithmRunner {
  /**
   * @param args Command line arguments.
   * @throws SecurityException
   * Invoking command:
  java org.uma.jmetal.runner.multiobjective.MOEADRunner problemName [referenceFront]
   */
  public static void main(String[] args) throws FileNotFoundException {
    DoubleProblem problem;
    Algorithm> algorithm;
    MutationOperator mutation;
    DifferentialEvolutionCrossover crossover;

    String problemName ;
    String referenceParetoFront = "";
    if (args.length == 1) {
      problemName = args[0];
    } else if (args.length == 2) {
      problemName = args[0] ;
      referenceParetoFront = args[1] ;
    } else {
      problemName = "org.uma.jmetal.problem.multiobjective.lz09.LZ09F6";
      referenceParetoFront = "jmetal-problem/src/test/resources/pareto_fronts/LZ09_F6.pf";
    }

    problem = (DoubleProblem)ProblemUtils. loadProblem(problemName);

    double cr = 1.0 ;
    double f = 0.5 ;
    crossover = new DifferentialEvolutionCrossover(cr, f, "rand/1/bin");

    double mutationProbability = 1.0 / problem.getNumberOfVariables();
    double mutationDistributionIndex = 20.0;
    mutation = new PolynomialMutation(mutationProbability, mutationDistributionIndex);

    algorithm = new MOEADBuilder(problem, MOEADBuilder.Variant.MOEADDRA)
            .setCrossover(crossover)
            .setMutation(mutation)
            .setMaxEvaluations(350000)
            .setPopulationSize(300)
            .setResultPopulationSize(100)
            .setNeighborhoodSelectionProbability(0.9)
            .setMaximumNumberOfReplacedSolutions(2)
            .setNeighborSize(20)
            .setFunctionType(AbstractMOEAD.FunctionType.TCHE)
            .setDataDirectory("MOEAD_Weights")
            .build() ;

    AlgorithmRunner algorithmRunner = new AlgorithmRunner.Executor(algorithm)
        .execute() ;

    List population = algorithm.getResult() ;
    long computingTime = algorithmRunner.getComputingTime() ;

    JMetalLogger.logger.info("Total execution time: " + computingTime + "ms");

    printFinalSolutionSet(population);
    if (!referenceParetoFront.equals("")) {
      printQualityIndicators(population, referenceParetoFront) ;
    }
  }
}