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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 org.apache.commons.math3.exception.DimensionMismatchException;
+import org.apache.commons.math3.exception.MathIllegalArgumentException;
+import org.apache.commons.math3.exception.util.LocalizedFormats;
+
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * One point crossover policy. A random crossover point is selected and the first part from each
+ * parent is copied to the corresponding child, and the second parts are copied crosswise.
+ *
+ * <p>Example:
+ *
+ * <pre>
+ * -C- denotes a crossover point
+ * -C- -C-
+ * p1 = (1 0 1 0 0 1 | 0 1 1) X p2 = (0 1 1 0 1 0 | 1 1 1)
+ * \------------/ \-----/ \------------/ \-----/
+ * || (*) || (**)
+ * VV (**) VV (*)
+ * /------------\ /-----\ /------------\ /-----\
+ * c1 = (1 0 1 0 0 1 | 1 1 1) X c2 = (0 1 1 0 1 0 | 0 1 1)
+ * </pre>
+ *
+ * This policy works only on {@link AbstractListChromosome}, and therefore it is parameterized by T.
+ * Moreover, the chromosomes must have same lengths.
+ *
+ * @param <T> generic type of the {@link AbstractListChromosome}s for crossover
+ * @since 2.0
+ */
+public class OnePointCrossover<T> implements CrossoverPolicy {
+
+ /**
+ * Performs one point crossover. A random crossover point is selected and the first part from
+ * each parent is copied to the corresponding child, and the second parts are copied crosswise.
+ *
+ * <p>Example:
+ *
+ * <pre>
+ * -C- denotes a crossover point
+ * -C- -C-
+ * p1 = (1 0 1 0 0 1 | 0 1 1) X p2 = (0 1 1 0 1 0 | 1 1 1)
+ * \------------/ \-----/ \------------/ \-----/
+ * || (*) || (**)
+ * VV (**) VV (*)
+ * /------------\ /-----\ /------------\ /-----\
+ * c1 = (1 0 1 0 0 1 | 1 1 1) X c2 = (0 1 1 0 1 0 | 0 1 1)
+ * </pre>
+ *
+ * @param first first parent (p1)
+ * @param second second parent (p2)
+ * @return pair of two children (c1,c2)
+ * @throws MathIllegalArgumentException iff one of the chromosomes is not an instance of {@link
+ * AbstractListChromosome}
+ * @throws DimensionMismatchException if the length of the two chromosomes is different
+ */
+ @SuppressWarnings("unchecked") // OK because of instanceof checks
+ 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 crossover((AbstractListChromosome<T>) first, (AbstractListChromosome<T>) 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
+ */
+ private ChromosomePair crossover(
+ final AbstractListChromosome<T> first, final AbstractListChromosome<T> 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<T> parent1Rep = first.getRepresentation();
+ final List<T> parent2Rep = second.getRepresentation();
+ // and of the children
+ final List<T> child1Rep = new ArrayList<T>(length);
+ final List<T> child2Rep = new ArrayList<T>(length);
+
+ // select a crossover point at random (0 and length makes no sense)
+ final int crossoverIndex = 1 + (GeneticAlgorithm.getRandomGenerator().nextInt(length - 2));
+
+ // copy the first part
+ for (int i = 0; i < crossoverIndex; i++) {
+ child1Rep.add(parent1Rep.get(i));
+ child2Rep.add(parent2Rep.get(i));
+ }
+ // and switch the second part
+ for (int i = crossoverIndex; i < length; i++) {
+ child1Rep.add(parent2Rep.get(i));
+ child2Rep.add(parent1Rep.get(i));
+ }
+
+ return new ChromosomePair(
+ first.newFixedLengthChromosome(child1Rep),
+ second.newFixedLengthChromosome(child2Rep));
+ }
+}