📄 individualoperator.java
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/*
* YALE - Yet Another Learning Environment
* Copyright (C) 2001-2004
* Simon Fischer, Ralf Klinkenberg, Ingo Mierswa,
* Katharina Morik, Oliver Ritthoff
* Artificial Intelligence Unit
* Computer Science Department
* University of Dortmund
* 44221 Dortmund, Germany
* email: yale-team@lists.sourceforge.net
* web: http://yale.cs.uni-dortmund.de/
*
* 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 edu.udo.cs.yale.operator.features;
import edu.udo.cs.yale.example.ExampleSet;
import edu.udo.cs.yale.example.AttributeWeightedExampleSet;
import java.util.LinkedList;
import java.util.List;
import java.util.ListIterator;
/** A <tt>PopulationOperator</tt> that modifies a population by modifying
* all individuals independently. The modifications can be made each per attribute block
* or for single attributes.
*
* @author Simon, Ingo
* @version $Id: IndividualOperator.java,v 2.10 2004/08/27 11:57:36 ingomierswa Exp $ <br>
*/
public abstract class IndividualOperator implements PopulationOperator {
/** Subclasses must implement this method providing a list of new
* individuals (of class ExampleSet). <tt>exampleSet</tt> will be removed
* from the population so it might be useful to return a list of size 1 containing
* only the modified <tt>exampleSet</tt>. */
public abstract List operate(AttributeWeightedExampleSet exampleSet) throws Exception;
/** Operates on all individuals, removes the original individuals and
* adds the new ones. */
public void operate(Population pop) throws Exception {
List newIndividuals = new LinkedList();
for (int i = 0; i < pop.getNumberOfIndividuals(); i++) {
List individuals = operate(pop.get(i));
newIndividuals.addAll(individuals);
}
pop.clear();
ListIterator i = newIndividuals.listIterator();
while (i.hasNext())
pop.add((AttributeWeightedExampleSet)i.next());
}
/** The default implementation returns true for every generation. */
public boolean performOperation(int generation) { return true; }
}
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