001 /*
002 * Java Genetic Algorithm Library (jenetics-8.0.0).
003 * Copyright (c) 2007-2024 Franz Wilhelmstötter
004 *
005 * Licensed under the Apache License, Version 2.0 (the "License");
006 * you may not use this file except in compliance with the License.
007 * You may obtain a copy of the License at
008 *
009 * http://www.apache.org/licenses/LICENSE-2.0
010 *
011 * Unless required by applicable law or agreed to in writing, software
012 * distributed under the License is distributed on an "AS IS" BASIS,
013 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
014 * See the License for the specific language governing permissions and
015 * limitations under the License.
016 *
017 * Author:
018 * Franz Wilhelmstötter (franz.wilhelmstoetter@gmail.com)
019 */
020 package io.jenetics;
021
022 import static java.lang.String.format;
023
024 import io.jenetics.internal.math.Subset;
025 import io.jenetics.util.MSeq;
026 import io.jenetics.util.RandomRegistry;
027
028 /**
029 * The {@code PartiallyMatchedCrossover} (PMX) guarantees that all {@link Gene}s
030 * are found exactly once in each chromosome. No gene is duplicated by this
031 * crossover. The PMX can be applied usefully in the TSP or other permutation
032 * problem encodings. Permutation encoding is useful for all problems where the
033 * fitness only depends on the ordering of the genes within the chromosome. This
034 * is the case in many combinatorial optimization problems. Other crossover
035 * operators for combinatorial optimization are:
036 * <ul>
037 * <li>order crossover</li>
038 * <li>cycle crossover</li>
039 * <li>edge recombination crossover</li>
040 * <li>edge assembly crossover</li>
041 * </ul>
042 * <p>
043 * The PMX is similar to the two-point crossover. A crossing region is chosen
044 * by selecting two crossing points.
045 * <pre>
046 * C1 = 012|345|6789
047 * C2 = 987|654|3210
048 * </pre>
049 * After performing the crossover, we normally got two invalid chromosomes.
050 * <pre>
051 * C1 = 012|654|6789
052 * C2 = 987|345|3210
053 * </pre>
054 * Chromosome {@code C1} contains value 6 twice and misses value
055 * 3. On the other side chromosome {@code C2} contains the value 3 twice and
056 * misses value 6. We can observe that this crossover is equivalent
057 * to the exchange of the values {@code 3 -> 6}, {@code 4 -> 5} and
058 * {@code 5 -> 4}. To repair the two chromosomes, we have to apply this exchange
059 * outside the crossing region.
060 * <pre>
061 * C1 = 012|654|3789
062 * C2 = 987|345|6210
063 * </pre>
064 *
065 * <em>The {@code PartiallyMatchedCrossover} class requires chromosomes with the
066 * same length. An {@code IllegalArgumentException} is thrown at runtime if this
067 * requirement is not fulfilled.</em>
068 *
069 * @see PermutationChromosome
070 *
071 * @author <a href="mailto:franz.wilhelmstoetter@gmail.com">Franz Wilhelmstötter</a>
072 * @since 1.0
073 * @version 4.4
074 */
075 public class PartiallyMatchedCrossover<T, C extends Comparable<? super C>>
076 extends Crossover<EnumGene<T>, C>
077 {
078
079 public PartiallyMatchedCrossover(final double probability) {
080 super(probability);
081 }
082
083 @Override
084 protected int crossover(
085 final MSeq<EnumGene<T>> that,
086 final MSeq<EnumGene<T>> other
087 ) {
088 if (that.length() != other.length()) {
089 throw new IllegalArgumentException(format(
090 "Required chromosomes with same length: %s != %s",
091 that.length(), other.length()
092 ));
093 }
094
095 if (that.length() >= 2) {
096 final var random = RandomRegistry.random();
097 final int[] points = Subset.next(random, that.length(), 2);
098
099 that.swap(points[0], points[1], other, points[0]);
100 repair(that, other, points[0], points[1]);
101 repair(other, that, points[0], points[1]);
102 }
103
104 return 1;
105 }
106
107 private static <T> void repair(
108 final MSeq<T> that, final MSeq<T> other,
109 final int begin, final int end
110 ) {
111 for (int i = 0; i < begin; ++i) {
112 int index = that.indexOf(that.get(i), begin, end);
113 while (index != -1) {
114 that.set(i, other.get(index));
115 index = that.indexOf(that.get(i), begin, end);
116 }
117 }
118 for (int i = end, n = that.length(); i < n; ++i) {
119 int index = that.indexOf(that.get(i), begin, end);
120 while (index != -1) {
121 that.set(i, other.get(index));
122 index = that.indexOf(that.get(i), begin, end);
123 }
124 }
125 }
126
127 @Override
128 public String toString() {
129 return format("%s[p=%f]", getClass().getSimpleName(), _probability);
130 }
131
132 }
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