nsgaii_main.java
来自「关于多目标优化的代码」· Java 代码 · 共 143 行
JAVA
143 行
/** * NSGAII_main.java * * @author Juan J. Durillo * @author Antonio J. Nebro * @version 1.0 * This implementation of jMetal makes use of a QualityIndicator object * to obtained the convergence speed of the algorithm. This version is used * in the paper: * A.J. Nebro, J.J. Durillo, C.A. Coello Coello, F. Luna, E. Alba * "A Study of Convergence Speed in Multi-Objective Metaheuristics." * To be presented in: PPSN'08. Dortmund. September 2008. */package jmetal.metaheuristics.nsgaII;import jmetal.base.*;import jmetal.base.operator.crossover.* ;import jmetal.base.operator.mutation.* ; import jmetal.base.operator.selection.* ;import jmetal.problems.* ;import jmetal.problems.DTLZ.*;import jmetal.problems.ZDT.*;import jmetal.problems.WFG.*;import jmetal.problems.ZZJ07.*;import jmetal.problems.LZ07.* ;import jmetal.util.JMException;import java.io.IOException;import java.util.logging.FileHandler;import java.util.logging.Logger;import jmetal.qualityIndicator.QualityIndicator;public class NSGAII_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.nsgaII.NSGAII_main * - jmetal.metaheuristics.nsgaII.NSGAII_main problemName * - jmetal.metaheuristics.nsgaII.NSGAII_main problemName paretoFrontFile */ 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 QualityIndicator indicators ; // Object to get quality indicators // Logger object and file to store log messages logger_ = Configuration.logger_ ; fileHandler_ = new FileHandler("NSGAII_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(3, "Real"); //problem = new Kursawe(3,"BinaryReal"); //problem = new Water("Real"); //problem = new ZDT4(10, "Real"); //problem = new WFG1("Real"); //problem = new DTLZ1("Real"); //problem = new OKA2("Real") ; } // else algorithm = new NSGAII(problem); // Algorithm parameters algorithm.setInputParameter("populationSize",100); algorithm.setInputParameter("maxEvaluations",25000); // 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",0.9); mutation = MutationFactory.getMutationOperator("BitFlipMutation"); mutation.setParameter("probability",1.0/199); */ // Selection Operator 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 writen to file VAR"); population.printVariablesToFile("VAR"); logger_.info("Objectives values have been writen 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} // NSGAII_main
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