/*********************************************************************** 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.ClassifierIshibuchi99; /** * <p> * An individual of the population * </p> * * <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 { int[] Arbol; int clase; int fitness; double grado_certeza; /** * <p> * Creates an individual containing with "variables" input variables * </p> * @param variables int The number of input variables */ public Individual(int variables) { Arbol = new int[variables]; clase = -1; fitness = -1; grado_certeza = -1; } /** * <p> * Creates an individual as a copy of another individual * </p> * @param indi Individual The individual used to create the new individual */ public Individual(Individual indi) { int tam = indi.Arbol.length; Arbol = new int[tam]; for(int i = 0; i < tam; i++){ Arbol[i] = indi.Arbol[i]; } clase = indi.clase; fitness = indi.fitness; grado_certeza = indi.grado_certeza; } /** * <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; } }