/***********************************************************************
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/
**********************************************************************/
/**
* <p>
* @author Written by Albert Orriols (La Salle University Ram�n Lull, Barcelona) 28/03/2004
* @author Modified by Xavi Sol� (La Salle University Ram�n Lull, Barcelona) 03/12/2008
* @version 1.1
* @since JDK1.2
* </p>
*/
package keel.Algorithms.Genetic_Rule_Learning.UCS;
import java.lang.*;
import java.io.*;
import java.util.*;
public interface Crossover {
/**
* <p>
* It's the interface of crossover. To introduce a new crossover model, you
* only have to implement this interface.
* </p>
*/
///////////////////////////////////////
// associations
///////////////////////////////////////
// operations
/**
* <p>
* Makes the crossover. It generates two childs.
* </p>
* <p>
*
* @param parent1 is the first parent.
* </p>
* <p>
* @param parent2 is the second parent
* </p>
* <p>
* @param child1 is the first child
* </p>
* <p>
* @param child2 is the second child.
* </p>
*/
public void makeCrossover(Classifier parent1, Classifier parent2, Classifier child1, Classifier child2);
} // end Crossover