01 /*
02 * Java Genetic Algorithm Library (jenetics-1.6.0).
03 * Copyright (c) 2007-2014 Franz Wilhelmstötter
04 *
05 * Licensed under the Apache License, Version 2.0 (the "License");
06 * you may not use this file except in compliance with the License.
07 * You may obtain a copy of the License at
08 *
09 * 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 * Author:
18 * Franz Wilhelmstötter (franz.wilhelmstoetter@gmx.at)
19 */
20 package org.jenetics;
21
22 /**
23 * Selectors are responsible for selecting a given number of individuals from
24 * the population. The selectors are used to divide the population into
25 * survivors and offspring. The selectors for offspring and for the survivors
26 * can be chosen independently.
27 * [code]
28 * final GeneticAlgorithm<DoubleGene, Double> ga = ...
29 * ga.setOffspringFraction(0.7);
30 * ga.setSurvivorSelector(
31 * new RouletteWheelSelector<DoubleGene, Double>()
32 * );
33 * ga.setOffspringSelector(
34 * new TournamentSelector<DoubleGene, Double>()
35 * );
36 * [/code]
37 *
38 * @author <a href="mailto:franz.wilhelmstoetter@gmx.at">Franz Wilhelmstötter</a>
39 * @since 1.0
40 * @version 1.0 — <em>$Date: 2014-02-14 $</em>
41 */
42 public interface Selector<
43 G extends Gene<?, G>,
44 C extends Comparable<? super C>
45 >
46 {
47
48 /**
49 * Select phenotypes from the Population.
50 *
51 * @param population The population to select from.
52 * @param count The number of phenotypes to select.
53 * @param opt Determines whether the individuals with higher fitness values
54 * or lower fitness values must be selected. This parameter determines
55 * whether the GA maximizes or minimizes the fitness function.
56 * @return The selected phenotypes (a new Population).
57 * @throws NullPointerException if the arguments is {@code null}.
58 * @throws IllegalArgumentException if the select count is smaller than zero.
59 */
60 public Population<G, C> select(
61 final Population<G, C> population,
62 final int count,
63 final Optimize opt
64 );
65
66 }
|