/***********************************************************************
This file is part of KEEL-software, the Data Mining tool for regression,
classification, clustering, pattern mining and so on.
Copyright (C) 2004-2010
F. Herrera (herrera@decsai.ugr.es)
L. S�nchez (luciano@uniovi.es)
J. Alcal�-Fdez (jalcala@decsai.ugr.es)
S. Garc�a (sglopez@ujaen.es)
A. Fern�ndez (alberto.fernandez@ujaen.es)
J. Luengo (julianlm@decsai.ugr.es)
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 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 General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see http://www.gnu.org/licenses/
**********************************************************************/
package keel.Algorithms.Fuzzy_Rule_Learning.Genetic.ClassifierShi_Eberhart_Chen;
/**
* <p>
* @author Written by Francisco Jos� Berlanga (University of Ja�n) 01/01/2007
* @version 1.0
* @since JDK 1.6
* </p>
*/
public class Individual implements Comparable {
/**
* <p>
* An individual of the population
* </p>
*/
int[] cromosoma;
double fitness;
int n_e;
int num_feasibles;
boolean [] feasibles;
/**
* <p>
* Creates an individual containing with a legth equal to "longitud" and having "max_n_reglas" rules
* </p>
* @param max_n_reglas int The number of rules in the individual
* @param longitud int The length of the individual
*/
public Individual(int max_n_reglas, int longitud) {
cromosoma = new int[longitud];
fitness = -1.0;
n_e = 1;
num_feasibles = 0;
feasibles = new boolean[max_n_reglas];
}
/**
* <p>
* Compares the fitness value of two individuals
* </p>
* @return int Returns -1 if the the fitness of the first individual is lesser than the fitness of the second one.
* 1 if the the fitness of the first individual is greater than the fitness of the second one.
* 0 if both individuals have the same fitness value
*/
public int compareTo(Object a) {
if (((Individual) a).fitness < this.fitness) {
return -1;
}
if (((Individual) a).fitness > this.fitness) {
return 1;
}
return 0;
}
}