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

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package org.uma.jmetal.runner.multiobjective;

import org.uma.jmetal.algorithm.Algorithm;
import org.uma.jmetal.algorithm.multiobjective.nsgaiii.NSGAIIIBuilder;
import org.uma.jmetal.operator.CrossoverOperator;
import org.uma.jmetal.operator.MutationOperator;
import org.uma.jmetal.operator.SelectionOperator;
import org.uma.jmetal.operator.impl.crossover.SBXCrossover;
import org.uma.jmetal.operator.impl.mutation.PolynomialMutation;
import org.uma.jmetal.operator.impl.selection.BinaryTournamentSelection;
import org.uma.jmetal.problem.Problem;
import org.uma.jmetal.solution.DoubleSolution;
import org.uma.jmetal.util.*;
import org.uma.jmetal.util.fileoutput.SolutionListOutput;
import org.uma.jmetal.util.fileoutput.impl.DefaultFileOutputContext;

import java.util.List;

/**
 * Class to configure and run the NSGA-III algorithm
 */
public class NSGAIIIRunner extends AbstractAlgorithmRunner {
  /**
   * @param args Command line arguments.
   * @throws java.io.IOException
   * @throws SecurityException
   * @throws ClassNotFoundException
   * Usage: three options
   *        - org.uma.jmetal.runner.multiobjective.NSGAIIIRunner
   *        - org.uma.jmetal.runner.multiobjective.NSGAIIIRunner problemName
   *        - org.uma.jmetal.runner.multiobjective.NSGAIIIRunner problemName paretoFrontFile
   */
  public static void main(String[] args) throws JMetalException {
	    Problem problem;
	    Algorithm> algorithm;
	    CrossoverOperator crossover;
	    MutationOperator mutation;
	    SelectionOperator, DoubleSolution> selection;

    String problemName = "org.uma.jmetal.problem.multiobjective.dtlz.DTLZ1" ;

    problem = ProblemUtils.loadProblem(problemName);

    double crossoverProbability = 0.9 ;
    double crossoverDistributionIndex = 30.0 ;
    crossover = new SBXCrossover(crossoverProbability, crossoverDistributionIndex) ;

    double mutationProbability = 1.0 / problem.getNumberOfVariables() ;
    double mutationDistributionIndex = 20.0 ;
    mutation = new PolynomialMutation(mutationProbability, mutationDistributionIndex) ;
    
    selection = new BinaryTournamentSelection();
    
    algorithm = new NSGAIIIBuilder<>(problem)
            .setCrossoverOperator(crossover)
            .setMutationOperator(mutation)
            .setSelectionOperator(selection)
            .setMaxIterations(300)
            .build() ;

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

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

    new SolutionListOutput(population)
            .setSeparator("\t")
            .setVarFileOutputContext(new DefaultFileOutputContext("VAR.tsv"))
            .setFunFileOutputContext(new DefaultFileOutputContext("FUN.tsv"))
            .print() ;

    JMetalLogger.logger.info("Total execution time: " + computingTime + "ms");
    JMetalLogger.logger.info("Objectives values have been written to file FUN.tsv");
    JMetalLogger.logger.info("Variables values have been written to file VAR.tsv");
  }
}