dMOPSO_Settings.java

//  dMOEAD_Settings.java
//
//  Authors:
//       Jorge Rodriguez
//       Antonio J. Nebro <antonio@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.experiments.Settings;
import jmetal.metaheuristics.dmopso.dMOPSO;
import jmetal.problems.ProblemFactory;
import jmetal.util.JMException;

import java.util.Properties;

/**
 * Settings class of algorithm dMOPSO
 */
public class dMOPSO_Settings extends Settings {
	public String dataDirectory_     ;
	public int    swarmSize_         ;
	public int    maxIterations_     ;
	public int	   maxAge_			      ;
	public String functionType_		  ;

	/**
	 * Constructor
	 */
	public dMOPSO_Settings(String problem) {
		super(problem);

		Object [] problemParams = {"Real"};
		try {
			problem_ = (new ProblemFactory()).getProblem(problemName_, problemParams);
		} catch (JMException e) {
			// TODO Auto-generated catch block
			e.printStackTrace();
		}

		// Default experiments.settings
		swarmSize_         = 100 ;
		maxIterations_     = 250 ;
		maxAge_			       = 2	 ;
		functionType_	     = "_TCHE"  ;  // _TCHE, _PBI, _AGG

		// Directory with the files containing the weight vectors used in 
		// Q. Zhang,  W. Liu,  and H Li, The Performance of a New Version of MOEA/D 
		// on CEC09 Unconstrained MOP Test Instances Working Report CES-491, School 
		// of CS & EE, University of Essex, 02/2009.
		// http://dces.essex.ac.uk/staff/qzhang/MOEAcompetition/CEC09final/code/ZhangMOEADcode/moead0305.rar

		dataDirectory_ =  "/Users/antelverde/Softw/pruebas/data/MOEAD_parameters/Weight" ;
	} // MOEAD_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 ;	    

		// Creating the problem
		algorithm = new dMOPSO(problem_) ;
		
		// Algorithm parameters
		algorithm.setInputParameter("swarmSize",swarmSize_);
		algorithm.setInputParameter("maxIterations",maxIterations_);
		algorithm.setInputParameter("maxAge",maxAge_);
    algorithm.setInputParameter("functionType",functionType_);
    algorithm.setInputParameter("dataDirectory",dataDirectory_);

		return algorithm;
	} // configure

  /**
   * Configure dMOPSO with user-defined parameter experiments.settings
   * @return A dMOPSO algorithm object
   */
  @Override
  public Algorithm configure(Properties configuration) throws JMException {
    Algorithm algorithm ;

    // Creating the algorithm.
    algorithm = new dMOPSO(problem_) ;

    // Algorithm parameters
    swarmSize_ = Integer.parseInt(configuration.getProperty("swarmSize",String.valueOf(swarmSize_)));
    maxIterations_  = Integer.parseInt(configuration.getProperty("maxIterations",String.valueOf(maxIterations_)));
    dataDirectory_  = configuration.getProperty("dataDirectory", dataDirectory_);
    maxAge_ = Integer.parseInt(configuration.getProperty("maxAge", String.valueOf(maxAge_)));
    functionType_ = configuration.getProperty("functionType", String.valueOf(functionType_));

    algorithm.setInputParameter("swarmSize",swarmSize_);
    algorithm.setInputParameter("maxIterations",maxIterations_);
    algorithm.setInputParameter("maxAge",maxAge_);
    algorithm.setInputParameter("functionType",functionType_);
    algorithm.setInputParameter("dataDirectory",dataDirectory_) ;

    return algorithm ;
  }
} // dMOPSO_Settings