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📄 generatingmutation.java

📁 著名的开源仿真软件yale
💻 JAVA
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/* *  YALE - Yet Another Learning Environment *  Copyright (C) 2002, 2003 *      Simon Fischer, Ralf Klinkenberg, Ingo Mierswa,  *          Katharina Morik, Oliver Ritthoff *      Artificial Intelligence Unit *      Computer Science Department *      University of Dortmund *      44221 Dortmund,  Germany *  email: yale@ls8.cs.uni-dortmund.de *  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.ga;import edu.udo.cs.yale.generator.FeatureGenerator;import edu.udo.cs.yale.generator.GenerationException;import edu.udo.cs.yale.operator.features.IndividualOperator;import edu.udo.cs.yale.example.AttributeSelectionExampleSet;import edu.udo.cs.yale.example.AttributeWeightedExampleSet;import edu.udo.cs.yale.example.Attribute;import edu.udo.cs.yale.example.Tools;import edu.udo.cs.yale.tools.RandomGenerator;import java.util.Iterator;import java.util.LinkedList;import java.util.List;/** The mutation operator for YAGGA. *  @version $Id: GeneratingMutation.java,v 2.6 2003/08/27 15:28:14 mierswa Exp $ *  @see YAGGA */public class GeneratingMutation extends IndividualOperator {    private List generators;    private List originalAttributes;    private double p;    private RandomGenerator random = RandomGenerator.getGlobalRandomGenerator();    public GeneratingMutation(List originalAttributes, double p, List generators) {	this.originalAttributes = originalAttributes;	this.p = p/4;	this.generators = generators;    }    /** Performs one of the following three mutations:     *  <ul>     *    <li>add a newly generated attribute</li>     *    <li>add an original attribute</li>     *    <li>remove an attribute</li>     *  </ul> */    public List operate(AttributeWeightedExampleSet es) throws Exception {	LinkedList l = new LinkedList();	if (es instanceof AttributeSelectionExampleSet) {	    AttributeSelectionExampleSet exampleSet = (AttributeSelectionExampleSet)es;	    AttributeSelectionExampleSet clone = (AttributeSelectionExampleSet)exampleSet.clone();	    	    addOriginalAttribute(exampleSet);	    boolean generationPossible = addGeneratedAttribute(exampleSet);	    deselect(exampleSet, generationPossible ? 2 : 1);	    	    if (exampleSet.getNumberOfUsedAttributes() > 0) {		l.add(exampleSet);	    } else {		l.add(clone);	    }	} else {	    l.add(es);	}	return l;    }    private boolean addGeneratedAttribute(AttributeSelectionExampleSet exampleSet) throws Exception {	int numberOfCombinations = Tools.setArgumentCombinations(exampleSet, generators);	if (random.nextDouble() < p) {	    FeatureGenerator generator = FeatureGenerator.selectGenerator(generators).newInstance();	    Attribute[] args = Tools.getRandomCompatibleAttributes(exampleSet, generator.getInputAttributes());	    generator.setArguments(args);	    List generatorList = new LinkedList();	    generatorList.add(generator);	    exampleSet.addAllAttributes(FeatureGenerator.generateAll(exampleSet.getExampleTable(), generatorList));	}	return numberOfCombinations > 0;    }    private void addOriginalAttribute(AttributeSelectionExampleSet exampleSet) {	if (random.nextDouble() < p) {	    int i = random.nextInt(originalAttributes.size());	    Attribute originalAttribute = (Attribute)originalAttributes.get(i);	    if (exampleSet.getAttribute(originalAttribute.getName()) == null)		exampleSet.addAttribute(originalAttribute);	}    }    private void deselect(AttributeSelectionExampleSet exampleSet, int m) {	int n = exampleSet.getNumberOfAttributes();	for (int i = n-1; i >= 0; i--) {	    if (random.nextDouble() < m*p/originalAttributes.size()) {		exampleSet.removeAttribute(i);	    }	}    }}

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