Java tutorial
/** * Computational Intelligence Library (CIlib) * Copyright (C) 2003 - 2010 * Computational Intelligence Research Group (CIRG@UP) * Department of Computer Science * University of Pretoria * South Africa * * This library is free software; you can redistribute it and/or modify * it under the terms of the GNU Lesser General Public License as published by * the Free Software Foundation; either version 3 of the License, or * (at your option) any later version. * * This library is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU Lesser General Public License for more details. * * You should have received a copy of the GNU Lesser General Public License * along with this library; if not, see <http://www.gnu.org/licenses/>. */ package net.sourceforge.cilib.util.selection.recipes; import com.google.common.collect.Iterables; import com.google.common.collect.Ordering; import java.util.Comparator; import java.util.List; import net.sourceforge.cilib.math.random.generator.MersenneTwister; import net.sourceforge.cilib.math.random.generator.RandomProvider; import net.sourceforge.cilib.util.selection.Samples; import net.sourceforge.cilib.util.selection.PartialSelection; import net.sourceforge.cilib.util.selection.Selection; import net.sourceforge.cilib.util.selection.arrangement.RandomArrangement; import net.sourceforge.cilib.util.selection.arrangement.SortedArrangement; /** * A recipe for Rank based selection. * <p> * Rank based selection is performed by: * <ol> * <li>Sorting the list of elements in a natural ordering.</li> * <li>Selecting portion of the elements that are better than the majority.</li> * <li>Randomizing the sub list of elements and selecting an element from the randomized list.</li> * <li>Return the result.</li> * </ol> * @param <E> */ public class RankBasedSelector<E extends Comparable<? super E>> implements Selector<E> { private static final long serialVersionUID = -2387196820773731607L; private Comparator<E> comparator; private RandomProvider random; /** * Create a new instance. */ public RankBasedSelector() { this.random = new MersenneTwister(); this.comparator = Ordering.natural(); } /** * Create a new instance with the provided {@link Comparator}. * @param comparator The comparator to use. */ public RankBasedSelector(Comparator<E> comparator) { this.comparator = comparator; this.random = new MersenneTwister(); } /** * Create a copy of the provided instance. * @param copy The instance to copy. */ public RankBasedSelector(RankBasedSelector<E> copy) { this.comparator = copy.comparator; this.random = new MersenneTwister(); } /** * Set the comparator to use. * @param comparator The value to set. */ public void setComparator(Comparator<E> comparator) { this.comparator = comparator; } /** * Get the comparator. * @return The current comparator. */ public Comparator<E> getComparator() { return this.comparator; } /** * Get the current random number generator. * @return The current random number generator. */ public RandomProvider getRandom() { return random; } /** * Set the random number generator to use. * @param random The value to set. */ public void setRandom(RandomProvider random) { this.random = random; } /** * {@inheritDoc} */ @Override public PartialSelection<E> on(Iterable<E> iterable) { int size = Iterables.size(iterable); List<E> list = Selection.copyOf(iterable).orderBy(new SortedArrangement()) .select(Samples.last(random.nextInt(size) + 1)); return Selection.copyOf(list).orderBy(new RandomArrangement(random)); } }