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1   /*
2    * Licensed to the Apache Software Foundation (ASF) under one or more
3    * contributor license agreements.  See the NOTICE file distributed with
4    * this work for additional information regarding copyright ownership.
5    * The ASF licenses this file to You under the Apache License, Version 2.0
6    * (the "License"); you may not use this file except in compliance with
7    * the License.  You may obtain a copy of the License at
8    *
9    *      http://www.apache.org/licenses/LICENSE-2.0
10   *
11   * Unless required by applicable law or agreed to in writing, software
12   * distributed under the License is distributed on an "AS IS" BASIS,
13   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14   * See the License for the specific language governing permissions and
15   * limitations under the License.
16   */
17  package org.apache.commons.math4.legacy.genetics;
18  
19  import java.util.ArrayList;
20  import java.util.List;
21  
22  import org.apache.commons.math4.legacy.exception.MathIllegalArgumentException;
23  import org.apache.commons.math4.legacy.exception.util.LocalizedFormats;
24  
25  /**
26   * Tournament selection scheme. Each of the two selected chromosomes is selected
27   * based on n-ary tournament -- this is done by drawing {@link #arity} random
28   * chromosomes without replacement from the population, and then selecting the
29   * fittest chromosome among them.
30   *
31   * @since 2.0
32   */
33  public class TournamentSelection implements SelectionPolicy {
34  
35      /** number of chromosomes included in the tournament selections. */
36      private int arity;
37  
38      /**
39       * Creates a new TournamentSelection instance.
40       *
41       * @param arity how many chromosomes will be drawn to the tournament
42       */
43      public TournamentSelection(final int arity) {
44          this.arity = arity;
45      }
46  
47      /**
48       * Select two chromosomes from the population. Each of the two selected
49       * chromosomes is selected based on n-ary tournament -- this is done by
50       * drawing {@link #arity} random chromosomes without replacement from the
51       * population, and then selecting the fittest chromosome among them.
52       *
53       * @param population the population from which the chromosomes are chosen.
54       * @return the selected chromosomes.
55       * @throws MathIllegalArgumentException if the tournament arity is bigger than the population size
56       */
57      @Override
58      public ChromosomePair select(final Population population) throws MathIllegalArgumentException {
59          return new ChromosomePair(tournament((ListPopulation) population),
60                                    tournament((ListPopulation) population));
61      }
62  
63      /**
64       * Helper for {@link #select(Population)}. Draw {@link #arity} random chromosomes without replacement from the
65       * population, and then select the fittest chromosome among them.
66       *
67       * @param population the population from which the chromosomes are chosen.
68       * @return the selected chromosome.
69       * @throws MathIllegalArgumentException if the tournament arity is bigger than the population size
70       */
71      private Chromosome tournament(final ListPopulation population) throws MathIllegalArgumentException {
72          if (population.getPopulationSize() < this.arity) {
73              throw new MathIllegalArgumentException(LocalizedFormats.TOO_LARGE_TOURNAMENT_ARITY,
74                                                     arity, population.getPopulationSize());
75          }
76          // auxiliary population
77          ListPopulation tournamentPopulation = new ListPopulation(this.arity) {
78              /** {@inheritDoc} */
79              @Override
80              public Population nextGeneration() {
81                  // not useful here
82                  return null;
83              }
84          };
85  
86          // create a copy of the chromosome list
87          List<Chromosome> chromosomes = new ArrayList<> (population.getChromosomes());
88          for (int i=0; i<this.arity; i++) {
89              // select a random individual and add it to the tournament
90              int rind = GeneticAlgorithm.getRandomGenerator().nextInt(chromosomes.size());
91              tournamentPopulation.addChromosome(chromosomes.get(rind));
92              // do not select it again
93              chromosomes.remove(rind);
94          }
95          // the winner takes it all
96          return tournamentPopulation.getFittestChromosome();
97      }
98  
99      /**
100      * Gets the arity (number of chromosomes drawn to the tournament).
101      *
102      * @return arity of the tournament
103      */
104     public int getArity() {
105         return arity;
106     }
107 
108     /**
109      * Sets the arity (number of chromosomes drawn to the tournament).
110      *
111      * @param arity arity of the tournament
112      */
113     public void setArity(final int arity) {
114         this.arity = arity;
115     }
116 }