📄 spea2_settings.java
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/** * SPEA2_Settings.java * * @author Antonio J. Nebro * @version 1.0 * * NSGAII_Settings class of algorithm NSGAII */package jmetal.experiments.settings;import jmetal.metaheuristics.spea2.*;import java.util.Properties;import jmetal.base.Algorithm;import jmetal.base.Operator;import jmetal.base.Problem;import jmetal.base.operator.crossover.CrossoverFactory;import jmetal.base.operator.mutation.MutationFactory;import jmetal.base.operator.selection.SelectionFactory;import jmetal.experiments.Settings;import jmetal.problems.ProblemFactory;import jmetal.qualityIndicator.QualityIndicator;import jmetal.util.JMException;/** * * @author Antonio */public class SPEA2_Settings extends Settings { // Default settings int populationSize_ = 100 ; int archiveSize_ = 100 ; int maxEvaluations_ = 25000 ; double mutationProbability_ = 1.0/problem_.getNumberOfVariables() ; double crossoverProbability_ = 0.9 ; double distributionIndexForMutation_ = 20 ; double distributionIndexForCrossover_ = 20 ; String paretoFrontFile_ = "" ; /** * Constructor */ public SPEA2_Settings(Problem problem) { super(problem) ; } // SPEA2_Settings /** * Configure SPEA2 with default parameter settings * @return an algorithm object * @throws jmetal.util.JMException */ public Algorithm configure() throws JMException { Algorithm algorithm ; Operator selection ; Operator crossover ; Operator mutation ; QualityIndicator indicators ; // Creating the problem algorithm = new SPEA2(problem_) ; // Algorithm parameters algorithm.setInputParameter("populationSize", populationSize_); algorithm.setInputParameter("maxEvaluations", maxEvaluations_); algorithm.setInputParameter("archiveSize", archiveSize_); // Mutation and Crossover for Real codification crossover = CrossoverFactory.getCrossoverOperator("SBXCrossover"); crossover.setParameter("probability", crossoverProbability_); crossover.setParameter("distributionIndex",distributionIndexForCrossover_); mutation = MutationFactory.getMutationOperator("PolynomialMutation"); mutation.setParameter("probability", mutationProbability_); mutation.setParameter("distributionIndex",distributionIndexForMutation_); // Selection Operator selection = SelectionFactory.getSelectionOperator("BinaryTournament") ; // Add the operators to the algorithm algorithm.addOperator("crossover",crossover); algorithm.addOperator("mutation",mutation); algorithm.addOperator("selection",selection); // Creating the indicator object if (! paretoFrontFile_.equals("")) { indicators = new QualityIndicator(problem_, paretoFrontFile_); algorithm.setInputParameter("indicators", indicators) ; } // if return algorithm ; } /** * Configure SPEA2 with user-defined parameter settings * @param settings * @return A SPEA2 algorithm object * @throws jmetal.util.JMException */ public Algorithm configure(Properties settings) throws JMException { if (settings != null) { populationSize_ = Integer.parseInt(settings.getProperty("POPULATION_SIZE", ""+populationSize_)) ; maxEvaluations_ = Integer.parseInt(settings.getProperty("MAX_EVALUATIONS", ""+maxEvaluations_)) ; archiveSize_ = Integer.parseInt(settings.getProperty("ARCHIVE_SIZE", ""+archiveSize_)) ; crossoverProbability_ = Double.parseDouble(settings.getProperty("CROSSOVER_PROBABILITY", ""+crossoverProbability_)) ; mutationProbability_ = Double.parseDouble(settings.getProperty("MUTATION_PROBABILITY", ""+mutationProbability_)) ; distributionIndexForMutation_ = Double.parseDouble(settings.getProperty("DISTRIBUTION_INDEX_FOR_MUTATION", ""+distributionIndexForMutation_)) ; distributionIndexForCrossover_ = Double.parseDouble(settings.getProperty("DISTRIBUTION_INDEX_FOR_CROSSOVER", ""+distributionIndexForCrossover_)) ; paretoFrontFile_ = settings.getProperty("PARETO_FRONT_FILE", "") ; } return configure() ; }} // SPEA2_Settings
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