minimumfunctionminimisationerror.java

粒子群算法的JAVA 程序

/*
 * MinimumFunctionMinimisationError.java
 *
 * Created on January 26, 2003, 2:56 PM
 *
 * 
 * Copyright (C) 2003 - Edwin S. Peer
 *
 * This program is free software; you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation; either version 2 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 General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with this program; if not, write to the Free Software
 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA 
 *   
 */

package net.sourceforge.cilib.Indicator;

import net.sourceforge.cilib.Algorithm.*;
import net.sourceforge.cilib.Problem.*;

/**
 *
 * @author  espeer
 */
public class MinimumFunctionMinimisationError implements ProgressIndicator {
    
    /** Creates a new instance of MinimumErrorIndicator */
    public MinimumFunctionMinimisationError() {
        minimumError = 1e-10;
    }
    
    public MinimumFunctionMinimisationError(double minimumError) {
        this.minimumError = minimumError;
    }
    
    public void setMinimumError(double minimumError) {
        this.minimumError = minimumError;
    }
    
    public double getPercentageCompleted() {
        double error = problem.getError(optAlgorithm.getSolution());
        if (error < minimumError) {
            return 1;
        }
        return minimumError / error;
    }
    
    public void setAlgorithm(Algorithm algorithm) {
        optAlgorithm = (OptimisationAlgorithm) algorithm;
        problem = (FunctionMinimisationProblem) optAlgorithm.getOptimisationProblem();
    }
    
    private OptimisationAlgorithm optAlgorithm;
    private double minimumError;
    private FunctionMinimisationProblem problem;
    
}