// 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