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A Java's Collaborative Filtering library to carry out experiments in research of Collaborative Filtering based Recommender Systems. The library has been designed from researchers to researchers.
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/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You 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.
 */
package org.apache.commons.math3.genetics;

import java.util.ArrayList;
import java.util.HashSet;
import java.util.List;
import java.util.Set;

import org.apache.commons.math3.exception.DimensionMismatchException;
import org.apache.commons.math3.exception.MathIllegalArgumentException;
import org.apache.commons.math3.exception.util.LocalizedFormats;

/**
 * Cycle Crossover [CX] builds offspring from ordered chromosomes by identifying cycles
 * between two parent chromosomes. To form the children, the cycles are copied from the
 * respective parents.
 * 
 * To form a cycle the following procedure is applied:
 * 

 *   start with the first gene of parent 1
 *   look at the gene at the same position of parent 2
 *   go to the position with the same gene in parent 1
 *   add this gene index to the cycle
 *   repeat the steps 2-5 until we arrive at the starting gene of this cycle
 * 
 * The indices that form a cycle are then used to form the children in alternating order, i.e.
 * in cycle 1, the genes of parent 1 are copied to child 1, while in cycle 2 the genes of parent 1
 * are copied to child 2, and so forth ...
 * 
 *
 * Example (zero-start cycle):
 *  * p1 = (8 4 7 3 6 2 5 1 9 0)    X   c1 = (8 1 2 3 4 5 6 7 9 0)
 * p2 = (0 1 2 3 4 5 6 7 8 9)    X   c2 = (0 4 7 3 6 2 5 1 8 9)
 *
 * cycle 1: 8 0 9
 * cycle 2: 4 1 7 2 5 6
 * cycle 3: 3
 * 
 *
 * This policy works only on {@link AbstractListChromosome}, and therefore it
 * is parameterized by T. Moreover, the chromosomes must have same lengths.
 *
 * @see 
 * Cycle Crossover Operator
 *
 * @param  generic type of the {@link AbstractListChromosome}s for crossover
 * @since 3.1
 */
public class CycleCrossover implements CrossoverPolicy {

    /** If the start index shall be chosen randomly. */
    private final boolean randomStart;

    /**
     * Creates a new {@link CycleCrossover} policy.
     */
    public CycleCrossover() {
        this(false);
    }

    /**
     * Creates a new {@link CycleCrossover} policy using the given {@code randomStart} behavior.
     *
     * @param randomStart whether the start index shall be chosen randomly or be set to 0
     */
    public CycleCrossover(final boolean randomStart) {
        this.randomStart = randomStart;
    }

    /**
     * Returns whether the starting index is chosen randomly or set to zero.
     *
     * @return {@code true} if the starting index is chosen randomly, {@code false} otherwise
     */
    public boolean isRandomStart() {
        return randomStart;
    }

    /**
     * {@inheritDoc}
     *
     * @throws MathIllegalArgumentException if the chromosomes are not an instance of {@link AbstractListChromosome}
     * @throws DimensionMismatchException if the length of the two chromosomes is different
     */
    @SuppressWarnings("unchecked")
    public ChromosomePair crossover(final Chromosome first, final Chromosome second)
        throws DimensionMismatchException, MathIllegalArgumentException {

        if (!(first instanceof AbstractListChromosome && second instanceof AbstractListChromosome)) {
            throw new MathIllegalArgumentException(LocalizedFormats.INVALID_FIXED_LENGTH_CHROMOSOME);
        }
        return mate((AbstractListChromosome) first, (AbstractListChromosome) second);
    }

    /**
     * Helper for {@link #crossover(Chromosome, Chromosome)}. Performs the actual crossover.
     *
     * @param first the first chromosome
     * @param second the second chromosome
     * @return the pair of new chromosomes that resulted from the crossover
     * @throws DimensionMismatchException if the length of the two chromosomes is different
     */
    protected ChromosomePair mate(final AbstractListChromosome first, final AbstractListChromosome second)
        throws DimensionMismatchException {

        final int length = first.getLength();
        if (length != second.getLength()) {
            throw new DimensionMismatchException(second.getLength(), length);
        }

        // array representations of the parents
        final List parent1Rep = first.getRepresentation();
        final List parent2Rep = second.getRepresentation();
        // and of the children: do a crossover copy to simplify the later processing
        final List child1Rep = new ArrayList(second.getRepresentation());
        final List child2Rep = new ArrayList(first.getRepresentation());

        // the set of all visited indices so far
        final Set visitedIndices = new HashSet(length);
        // the indices of the current cycle
        final List indices = new ArrayList(length);

        // determine the starting index
        int idx = randomStart ? GeneticAlgorithm.getRandomGenerator().nextInt(length) : 0;
        int cycle = 1;

        while (visitedIndices.size() < length) {
            indices.add(idx);

            T item = parent2Rep.get(idx);
            idx = parent1Rep.indexOf(item);

            while (idx != indices.get(0)) {
                // add that index to the cycle indices
                indices.add(idx);
                // get the item in the second parent at that index
                item = parent2Rep.get(idx);
                // get the index of that item in the first parent
                idx = parent1Rep.indexOf(item);
            }

            // for even cycles: swap the child elements on the indices found in this cycle
            if (cycle++ % 2 != 0) {
                for (int i : indices) {
                    T tmp = child1Rep.get(i);
                    child1Rep.set(i, child2Rep.get(i));
                    child2Rep.set(i, tmp);
                }
            }

            visitedIndices.addAll(indices);
            // find next starting index: last one + 1 until we find an unvisited index
            idx = (indices.get(0) + 1) % length;
            while (visitedIndices.contains(idx) && visitedIndices.size() < length) {
                idx++;
                if (idx >= length) {
                    idx = 0;
                }
            }
            indices.clear();
        }

        return new ChromosomePair(first.newFixedLengthChromosome(child1Rep),
                                  second.newFixedLengthChromosome(child2Rep));
    }
}