org.jenetics.IntegerChromosome Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of org.jenetics Show documentation
Show all versions of org.jenetics Show documentation
Jenetics - Java Genetic Algorithm Library
/*
* Java Genetic Algorithm Library (jenetics-3.4.0).
* Copyright (c) 2007-2016 Franz Wilhelmstötter
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* Author:
* Franz Wilhelmstötter ([email protected])
*/
package org.jenetics;
import java.io.IOException;
import java.io.ObjectInputStream;
import java.io.ObjectOutputStream;
import java.io.Serializable;
import java.util.List;
import javax.xml.bind.annotation.XmlAccessType;
import javax.xml.bind.annotation.XmlAccessorType;
import javax.xml.bind.annotation.XmlAttribute;
import javax.xml.bind.annotation.XmlElement;
import javax.xml.bind.annotation.XmlRootElement;
import javax.xml.bind.annotation.XmlType;
import javax.xml.bind.annotation.adapters.XmlAdapter;
import javax.xml.bind.annotation.adapters.XmlJavaTypeAdapter;
import org.jenetics.internal.util.Equality;
import org.jenetics.internal.util.Hash;
import org.jenetics.util.ISeq;
import org.jenetics.util.IntRange;
import org.jenetics.util.MSeq;
/**
* Numeric chromosome implementation which holds 32 bit integer numbers.
*
* @author Franz Wilhelmstötter
* @since 2.0
* @version 3.2
*/
@XmlJavaTypeAdapter(IntegerChromosome.Model.Adapter.class)
public class IntegerChromosome
extends AbstractBoundedChromosome
implements
NumericChromosome,
Serializable
{
private static final long serialVersionUID = 1L;
protected IntegerChromosome(final ISeq genes) {
super(genes);
}
/**
* Create a new random {@code IntegerChromosome}.
*
* @param min the min value of the {@link IntegerGene}s (inclusively).
* @param max the max value of the {@link IntegerGene}s (inclusively).
* @param length the length of the chromosome.
* @throws NullPointerException if one of the arguments is {@code null}.
*/
public IntegerChromosome(final Integer min, final Integer max, final int length) {
this(IntegerGene.seq(min, max, length));
_valid = true;
}
/**
* Create a new random {@code IntegerChromosome} of length one.
*
* @param min the minimal value of this chromosome (inclusively).
* @param max the maximal value of this chromosome (inclusively).
* @throws NullPointerException if one of the arguments is {@code null}.
*/
public IntegerChromosome(final Integer min, final Integer max) {
this(min, max, 1);
}
/**
* Returns an int array containing all of the elements in this chromosome
* in proper sequence. If the chromosome fits in the specified array, it is
* returned therein. Otherwise, a new array is allocated with the length of
* this chromosome.
*
* @since 3.0
*
* @param array the array into which the elements of this chromosomes are to
* be stored, if it is big enough; otherwise, a new array is
* allocated for this purpose.
* @return an array containing the elements of this chromosome
* @throws NullPointerException if the given {@code array} is {@code null}
*/
public int[] toArray(final int[] array) {
final int[] a = array.length >= length() ?
array : new int[length()];
for (int i = length(); --i >= 0;) {
a[i] = intValue(i);
}
return a;
}
/**
* Returns an int array containing all of the elements in this chromosome
* in proper sequence.
*
* @since 3.0
*
* @return an array containing the elements of this chromosome
*/
public int[] toArray() {
return toArray(new int[length()]);
}
/**
* Create a new {@code IntegerChromosome} with the given genes.
*
* @param genes the genes of the chromosome.
* @return a new chromosome with the given genes.
* @throws IllegalArgumentException if the length of the genes array is
* empty.
*/
public static IntegerChromosome of(final IntegerGene... genes) {
return new IntegerChromosome(ISeq.of(genes));
}
/**
* Create a new random {@code IntegerChromosome}.
*
* @param min the min value of the {@link IntegerGene}s (inclusively).
* @param max the max value of the {@link IntegerGene}s (inclusively).
* @param length the length of the chromosome.
* @return a new random {@code IntegerChromosome}
*/
public static IntegerChromosome of(
final int min,
final int max,
final int length
) {
return new IntegerChromosome(min, max, length);
}
/**
* Create a new random {@code IntegerChromosome}.
*
* @since 3.2
*
* @param range the integer range of the chromosome.
* @param length the length of the chromosome.
* @return a new random {@code IntegerChromosome}
* @throws NullPointerException if the given {@code range} is {@code null}
*/
public static IntegerChromosome of(final IntRange range, final int length) {
return new IntegerChromosome(range.getMin(), range.getMax(), length);
}
/**
* Create a new random {@code IntegerChromosome} of length one.
*
* @param min the minimal value of this chromosome (inclusively).
* @param max the maximal value of this chromosome (inclusively).
* @return a new random {@code IntegerChromosome} of length one
*/
public static IntegerChromosome of(final int min, final int max) {
return new IntegerChromosome(min, max);
}
/**
* Create a new random {@code IntegerChromosome} of length one.
*
* @since 3.2
*
* @param range the integer range of the chromosome.
* @return a new random {@code IntegerChromosome} of length one
* @throws NullPointerException if the given {@code range} is {@code null}
*/
public static IntegerChromosome of(final IntRange range) {
return new IntegerChromosome(range.getMin(), range.getMax());
}
@Override
public IntegerChromosome newInstance(final ISeq genes) {
return new IntegerChromosome(genes);
}
@Override
public IntegerChromosome newInstance() {
return new IntegerChromosome(_min, _max, length());
}
@Override
public int hashCode() {
return Hash.of(getClass()).and(super.hashCode()).value();
}
@Override
public boolean equals(final Object obj) {
return Equality.of(this, obj).test(super::equals);
}
/* *************************************************************************
* Java object serialization
* ************************************************************************/
private void writeObject(final ObjectOutputStream out)
throws IOException
{
out.defaultWriteObject();
out.writeInt(length());
out.writeInt(_min.intValue());
out.writeInt(_max.intValue());
for (IntegerGene gene : _genes) {
out.writeInt(gene.getAllele().intValue());
}
}
private void readObject(final ObjectInputStream in)
throws IOException, ClassNotFoundException
{
in.defaultReadObject();
final MSeq genes = MSeq.ofLength(in.readInt());
_min = in.readInt();
_max = in.readInt();
for (int i = 0; i < genes.length(); ++i) {
genes.set(i, new IntegerGene(in.readInt(), _min, _max));
}
_genes = genes.toISeq();
}
/* *************************************************************************
* JAXB object serialization
* ************************************************************************/
@XmlRootElement(name = "int-chromosome")
@XmlType(name = "org.jenetics.IntegerChromosome")
@XmlAccessorType(XmlAccessType.FIELD)
final static class Model {
@XmlAttribute(name = "length", required = true)
public int length;
@XmlAttribute(name = "min", required = true)
public int min;
@XmlAttribute(name = "max", required = true)
public int max;
@XmlElement(name = "allele", required = true, nillable = false)
public List values;
public final static class Adapter
extends XmlAdapter
{
@Override
public Model marshal(final IntegerChromosome c) {
final Model m = new Model();
m.length = c.length();
m.min = c._min;
m.max = c._max;
m.values = c.toSeq().map(IntegerGene::getAllele).asList();
return m;
}
@Override
public IntegerChromosome unmarshal(final Model model) {
final Integer min = model.min;
final Integer max = model.max;
return new IntegerChromosome(
ISeq.of(model.values)
.map(a -> new IntegerGene(a, min, max))
);
}
}
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy