/*
 *  RapidMiner
 *
 *  Copyright (C) 2001-2008 by Rapid-I and the contributors
 *
 *  Complete list of developers available at our web site:
 *
 *       http://rapid-i.com
 *
 *  This program is free software: you can redistribute it and/or modify
 *  it under the terms of the GNU Affero 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 Affero General Public License for more details.
 *
 *  You should have received a copy of the GNU Affero General Public License
 *  along with this program.  If not, see http://www.gnu.org/licenses/.
 */
package com.rapidminer.tools.math.optimization.ec.es;

import com.rapidminer.operator.performance.PerformanceVector;

/**
 * Individuals store information about the value vectors and the fitness.
 * 
 * @author Ingo Mierswa
 * @version $Id: Individual.java,v 1.3 2008/05/09 19:23:16 ingomierswa Exp $
 */
public class Individual implements Cloneable {

	private double[] values;

	private PerformanceVector fitness;
    
	private double crowdingDistance;
	
	public Individual(double[] values) {
		this.values = values;
	}

	public Object clone() {
		double[] alphaClone = new double[this.values.length];
		System.arraycopy(this.values, 0, alphaClone, 0, this.values.length);
		Individual clone = new Individual(alphaClone);
		return clone;
	}

	public void setCrowdingDistance(double cd) {
		this.crowdingDistance = cd;
	}
	
	public double getCrowdingDistance() {
		return crowdingDistance;
	}
	
	public double[] getValues() {
		return values;
	}

	public void setValues(double[] values) {
		this.values = values;
	}

	public double[] getFitnessValues() {
        double[] fitnessValues = new double[fitness.getSize()];
        for (int i = 0; i < fitnessValues.length; i++)
            fitnessValues[i] = fitness.getCriterion(i).getFitness();
		return fitnessValues;
	}

    public PerformanceVector getFitness() {
        return fitness;
    }
    
	public void setFitness(PerformanceVector fitness) {
		this.fitness = fitness;
	}

	public String toString() {
		StringBuffer result = new StringBuffer("values=[");
		for (int i = 0; i < values.length; i++) {
			if (i != 0)
				result.append(",");
			result.append(values[i]);
		}
		result.append(", fitness: [");
        double[] fitnessValues = getFitnessValues();
		for (double d : fitnessValues) 
            result.append(d);
		result.append("]");		
		return result.toString();
	}
}