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 */
020package io.jenetics.ext;
021
022import java.util.random.RandomGenerator;
023
024import io.jenetics.AbstractAlterer;
025import io.jenetics.Chromosome;
026import io.jenetics.Gene;
027import io.jenetics.Mutator;
028import io.jenetics.MutatorResult;
029import io.jenetics.internal.math.Probabilities;
030import io.jenetics.internal.math.Subset;
031import io.jenetics.util.MSeq;
032
033/**
034 * The Hybridizing PSM and RSM Operator (HPRM) constructs an offspring from a
035 * pair of parents by hybridizing two mutation operators, PSM and RSM.
036 * <p>
037 * This mutator is described in <a href="https://arxiv.org/abs/1203.5028">A New
038 * Mutation Operator for Solving an NP-Complete Problem: Travelling Salesman
039 * Problem</a>, by <em>Otman Abdoun, Chakir Tajani</em> and
040 * <em>Jaafar Abouchabka</em>.
041 *
042 * @see RSMutator
043 * @see io.jenetics.SwapMutator
044 *
045 * @author <a href="mailto:franz.wilhelmstoetter@gmail.com">Franz Wilhelmstötter</a>
046 * @version 5.0
047 * @since 5.0
048 */
049public class HPRMutator<
050        G extends Gene<?, G>,
051        C extends Comparable<? super C>
052>
053        extends Mutator<G, C>
054{
055
056        /**
057         * Constructs an alterer with a given recombination probability.
058         *
059         * @param probability the crossover probability.
060         * @throws IllegalArgumentException if the {@code probability} is not in the
061         *          valid range of {@code [0, 1]}.
062         */
063        public HPRMutator(final double probability) {
064                super(probability);
065        }
066
067        /**
068         * Default constructor, with default mutation probability
069         * ({@link AbstractAlterer#DEFAULT_ALTER_PROBABILITY}).
070         */
071        public HPRMutator() {
072                this(DEFAULT_ALTER_PROBABILITY);
073        }
074
075        @Override
076        protected MutatorResult<Chromosome<G>> mutate(
077                final Chromosome<G> chromosome,
078                final double p,
079                final RandomGenerator random
080        ) {
081                final MutatorResult<Chromosome<G>> result;
082                if (chromosome.length() > 1) {
083                        final int P = Probabilities.toInt(p);
084                        final int[] points = Subset.next(random, chromosome.length(), 2);
085                        final MSeq<G> genes = MSeq.of(chromosome);
086
087                        int mutations = (points[1] - points[0] + 1)/2;
088                        for (int i = points[0], j = points[1]; i < j; ++i, --j) {
089                                genes.swap(i, j);
090                                if (random.nextInt() < P) {
091                                        genes.swap(i, random.nextInt(chromosome.length()));
092                                        ++mutations;
093                                }
094                        }
095
096                        result = new MutatorResult<>(
097                                chromosome.newInstance(genes.toISeq()),
098                                mutations
099                        );
100                } else {
101                        result = new MutatorResult<>(chromosome, 0);
102                }
103
104                return result;
105        }
106
107}