📄 setgene.java
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/*
* This file is part of JGAP.
*
* JGAP offers a dual license model containing the LGPL as well as the MPL.
*
* For licencing information please see the file license.txt included with JGAP
* or have a look at the top of class org.jgap.Chromosome which representatively
* includes the JGAP license policy applicable for any file delivered with JGAP.
*/
package org.jgap.impl;
import java.lang.reflect.*;
import java.util.*;
import org.jgap.*;
/**
* Creates a gene instance in which individual alleles have both a label (key)
* and a value with a distinct meaning. For example, IntegerGene only allows
* for values having a continuous range, and does not have a function where it
* is possible to specify setValue...</p>
*
* <p>Copyright: Copyright (c) 2005</p>
*
* <p>Organization: RSMAS, University of Miami</p>
*
* @author Johnathan Kool
* @version 0.1
*/
public class SetGene
extends BaseGene
implements Gene {
/** String containing the CVS revision. Read out via reflection!*/
private final static String CVS_REVISION = "$Revision: 1.1 $";
private HashSet geneSet = new HashSet();
private Object m_value;
/**
* Represents the constant range of values supported by integers.
*/
public SetGene() {}
public Gene newGene() {
return new SetGene();
}
/**
* Adds a potential allele value to the collection.
*
* @param i_value Integer: The Integer value to be added
*/
public void addAllele(Object allele) {
geneSet.add(allele);
}
/**
* Add a set of potential allele values to the collection
*
* @param alleles Map: The set of alleles to be added
*/
public void addAlleles(Collection alleles) {
geneSet.addAll(alleles);
}
/**
* Removes a potential allele or set of alleles from the collection.
*
* @param key Object: The unique value(s) of the object(s) to be removed
*/
public void removeAlleles(Object allele) {
geneSet.remove(allele);
}
/**
* Sets the allele value to be a random value using a defined random number
* generator.
*
* @author Johnathan Kool
*
* @param a_numberGenerator RandomGenerator
*/
public void setToRandomValue(RandomGenerator a_numberGenerator) {
m_value = ( (List) geneSet).get(a_numberGenerator.nextInt(geneSet.size()));
}
/**
* See interface Gene for description of applyMutation
*
* For this kind of gene, providing an index and a magnitude have no
* significance because the individual allele forms are independent
* of one another. In mutating, they can only cange from one form to
* another. It may be possible to weight the likelihood of mutation
* to different forms, but that will not be implemented here.
*
* @author Klaus Meffert
* @author Johnathan Kool
* @since 1.1
*/
public void applyMutation(int index, double a_percentage) {
RandomGenerator rn;
if (Genotype.getConfiguration() != null) {
rn = Genotype.getConfiguration().getRandomGenerator();
}
else {
rn = new StockRandomGenerator();
}
setToRandomValue(rn);
}
/**
* Sets the value and internal state of this Gene from the string
* representation returned by a previous invocation of the
* getPersistentRepresentation() method. This is an optional method but,
* if not implemented, XML persistence and possibly other features will not
* be available. An UnsupportedOperationException should be thrown if no
* implementation is provided.
*
* @param a_representation the string representation retrieved from a
* prior call to the getPersistentRepresentation()
* method.
*
* @throws UnsupportedOperationException to indicate that no implementation
* is provided for this method.
* @throws UnsupportedRepresentationException if this Gene implementation
* does not support the given string representation.
*
* @author Neil Rostan
* @since 1.0
*/
public void setValueFromPersistentRepresentation(String a_representation)
throws UnsupportedRepresentationException {
if (a_representation != null) {
StringTokenizer tokenizer =
new StringTokenizer(a_representation,
PERSISTENT_FIELD_DELIMITER);
// Make sure the representation contains the correct number of
// fields. If not, throw an exception.
// -----------------------------------------------------------
if (tokenizer.countTokens() < 3) {
throw new UnsupportedRepresentationException(
"The format of the given persistent representation " +
"is not recognized: it must contain at least three tokens.");
}
String valueRepresentation = tokenizer.nextToken();
// First parse and set the representation of the value.
// ----------------------------------------------------
if (valueRepresentation.equals("null")) {
m_value = null;
}
else {
try {
m_value =
new Integer(Integer.parseInt(valueRepresentation));
}
catch (NumberFormatException e) {
throw new UnsupportedRepresentationException(
"The format of the given persistent representation " +
"is not recognized: field 1 does not appear to be " +
"an integer value.");
}
}
//Parse the potential categories.
Integer allele;
while (tokenizer.hasMoreTokens()) {
try {
allele = new Integer(Integer.parseInt(tokenizer.nextToken()));
geneSet.add(allele);
}
catch (NumberFormatException e) {
throw new UnsupportedRepresentationException(
"The format of the given persistent representation " +
"is not recognized: a member of the list of eligible values does " +
"not appear to be an integer value.");
}
}
}
}
/**
* Retrieves a string representation of this Gene that includes any
* information required to reconstruct it at a later time, such as its
* value and internal state. This string will be used to represent this
* Gene in XML persistence. This is an optional method but, if not
* implemented, XML persistence and possibly other features will not be
* available. An UnsupportedOperationException should be thrown if no
* implementation is provided.
*
* @return A string representation of this Gene's current state.
* @throws UnsupportedOperationException to indicate that no implementation
* is provided for this method.
*
* @author Neil Rostan
* @since 1.0
*/
public String getPersistentRepresentation()
throws
UnsupportedOperationException {
// The persistent representation includes the value, lower bound,
// and upper bound. Each is separated by a colon.
// --------------------------------------------------------------
Iterator it = geneSet.iterator();
StringBuffer strbf = new StringBuffer();
while (it.hasNext()) {
strbf.append(PERSISTENT_FIELD_DELIMITER);
strbf.append(it.next().toString());
}
return m_value.toString() + strbf.toString();
}
/**
* Sets the value (allele) of this Gene to the new given value. This class
* expects the value to be an instance of current type (e.g. Integer).
*
* @param a_newValue the new value of this Gene instance.
*
* @author Johnathan Kool
*/
public void setAllele(Object a_newValue) {
if (geneSet.contains(a_newValue)) {
m_value = a_newValue;
}
else {
throw new IllegalArgumentException("Allele value being set is not an " +
"element of the set of permitted values.");
}
}
/**
* Compares this NumberGene with the specified object (which must also
* be a NumberGene) for order, which is determined by the number
* value of this Gene compared to the one provided for comparison.
*
* @param other the NumberGene to be compared to this NumberGene.
* @return a negative integer, zero, or a positive integer as this object
* is less than, equal to, or greater than the object provided for comparison.
*
* @throws ClassCastException if the specified object's type prevents it
* from being compared to this NumberGene.
*
* @author Klaus Meffert
* @author Johnathan Kool
* @since 1.1
*/
public int compareTo(Object other) {
SetGene otherGene = (SetGene) other;
// First, if the other gene (or its value) is null, then this is
// the greater allele. Otherwise, just use the overridden compareToNative
// method to perform the comparison.
// ---------------------------------------------------------------
if (otherGene == null) {
return 1;
}
else if (otherGene.m_value == null) {
// If our value is also null, then we're the same. Otherwise,
// this is the greater gene.
// ----------------------------------------------------------
return m_value == null ? 0 : 1;
}
else {
try {
Method method = m_value.getClass().getMethod("compareTo",
new Class[] {otherGene.m_value.getClass()});
Integer i = (Integer) method.invoke(m_value,
new Object[] {otherGene.m_value});
return i.intValue();
}
catch (InvocationTargetException ex) {
ex.printStackTrace();
throw new IllegalArgumentException("CompareTo method of the Gene value" +
" object cannot be invoked.");
}
catch (IllegalArgumentException ex) {
ex.printStackTrace();
throw new IllegalArgumentException("The value object of the Gene does" +
" not have a compareTo method. It" +
" cannot be compared.");
}
catch (IllegalAccessException ex) {
ex.printStackTrace();
throw new IllegalArgumentException("The compareTo method of the Gene" +
" value object cannot be accessed ");
}
catch (SecurityException ex) {
ex.printStackTrace();
throw new IllegalArgumentException("The compareTo method of the Gene" +
" value object cannot be accessed." +
" Insufficient permission levels.");
}
catch (NoSuchMethodException ex) {
ex.printStackTrace();
throw new IllegalArgumentException("The value object of the Gene does" +
" not have a compareTo method. It" +
" cannot be compared.");
}
}
}
/**
* @return the internal value of the gene
* @since 2.4
*/
protected Object getInternalValue() {
return m_value;
}
/**
* Modified hashCode() function to return different hashcodes for differently
* ordered genes in a chromosome
* @return -1 if no allele set, otherwise value return by BaseGene.hashCode()
*
* @author Klaus Meffert
* @since 2.4
*/
public int hashCode() {
if (getInternalValue() == null) {
return -67;
}
else {
return super.hashCode();
}
}
}
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