// GDE3_Settings.java // // Authors: // Antonio J. Nebro <antonio@lcc.uma.es> // Juan J. Durillo <durillo@lcc.uma.es> // // Copyright (c) 2011 Antonio J. Nebro, Juan J. Durillo // // 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/>. package jmetal.experiments.settings; import jmetal.core.Algorithm; import jmetal.core.Operator; import jmetal.experiments.Settings; import jmetal.metaheuristics.gde3.GDE3; import jmetal.operators.crossover.Crossover; import jmetal.operators.crossover.CrossoverFactory; import jmetal.operators.selection.SelectionFactory; import jmetal.problems.ProblemFactory; import jmetal.util.JMException; import java.util.HashMap; import java.util.Properties; /** * Settings class of algorithm GDE3 */ public class GDE3_Settings extends Settings { public double CR_ ; public double F_ ; public int populationSize_ ; public int maxIterations_ ; /** * Constructor */ public GDE3_Settings(String problemName) { super(problemName); Object [] problemParams = {"Real"}; try { problem_ = (new ProblemFactory()).getProblem(problemName_, problemParams); } catch (JMException e) { // TODO Auto-generated catch block e.printStackTrace(); } // Default experiments.settings CR_ = 0.5; F_ = 0.5; populationSize_ = 100; maxIterations_ = 250; } // CellDE_Settings /** * Configure the algorithm with the specified parameter experiments.settings * @return an algorithm object * @throws jmetal.util.JMException */ public Algorithm configure() throws JMException { Algorithm algorithm; Operator selection; Operator crossover; HashMap parameters ; // Operator parameters // Creating the problem Object [] problemParams = {"Real"}; problem_ = (new ProblemFactory()).getProblem(problemName_, problemParams); algorithm = new GDE3(problem_); // Algorithm parameters algorithm.setInputParameter("populationSize", populationSize_); algorithm.setInputParameter("maxIterations", maxIterations_); // Crossover operator parameters = new HashMap() ; parameters.put("CR", CR_) ; parameters.put("F", F_) ; crossover = CrossoverFactory.getCrossoverOperator("DifferentialEvolutionCrossover", parameters); parameters = null ; selection = SelectionFactory.getSelectionOperator("DifferentialEvolutionSelection", parameters) ; // Add the operators to the algorithm algorithm.addOperator("crossover", crossover); algorithm.addOperator("selection", selection); return algorithm; } // configure /** * Configure GDE3 with user-defined parameter experiments.settings * @return A GDE3 algorithm object */ @Override public Algorithm configure(Properties configuration) throws JMException { Algorithm algorithm ; Operator selection ; Crossover crossover ; HashMap parameters ; // Operator parameters // Creating the algorithm. algorithm = new GDE3(problem_) ; // Algorithm parameters populationSize_ = Integer.parseInt(configuration.getProperty("populationSize",String.valueOf(populationSize_))); maxIterations_ = Integer.parseInt(configuration.getProperty("maxIterations",String.valueOf(maxIterations_))); algorithm.setInputParameter("populationSize", populationSize_); algorithm.setInputParameter("maxIterations", maxIterations_); CR_ = Double.parseDouble(configuration.getProperty("CR",String.valueOf(CR_))); F_ = Double.parseDouble(configuration.getProperty("F",String.valueOf(F_))); parameters = new HashMap() ; parameters.put("CR", CR_) ; parameters.put("F", F_) ; crossover = CrossoverFactory.getCrossoverOperator("DifferentialEvolutionCrossover", parameters); parameters = null ; selection = SelectionFactory.getSelectionOperator("DifferentialEvolutionSelection", parameters) ; // Add the operators to the algorithm algorithm.addOperator("crossover",crossover); algorithm.addOperator("selection",selection); return algorithm ; } } // GDE3_Settings