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Jenetics - Java Genetic Algorithm Library

There is a newer version: 3.6.0

/*
 * Java Genetic Algorithm Library (jenetics-3.1.0).
 * Copyright (c) 2007-2015 Franz Wilhelmstötter
 *
 * Licensed 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.
 *
 * Author:
 *    Franz Wilhelmstötter ([email protected])
 */
package org.jenetics;

/**
 * Selectors are responsible for selecting a given number of individuals from
 * the population. The selectors are used to divide the population into
 * survivors and offspring. The selectors for offspring and for the survivors
 * can be chosen independently.
 * {@code
 * final Engine engine = Engine
 *     .builder(gtf, ff)
 *     .offspringSelector(new RouletteWheelSelector<>())
 *     .survivorsSelector(new TournamentSelector<>())
 *     .build();
 * }
 *
 * @param  The gene type this GA evaluates,
 * @param  The result type (of the fitness function).
 *
 * @author Franz Wilhelmstötter
 * @since 1.0
 * @version 1.0
 */
@FunctionalInterface
public interface Selector<
	G extends Gene,
	C extends Comparable
>
{

	/**
	 * Select phenotypes from the Population.
	 *
	 * @param population The population to select from.
	 * @param count The number of phenotypes to select.
	 * @param opt Determines whether the individuals with higher fitness values
	 *        or lower fitness values must be selected. This parameter determines
	 *        whether the GA maximizes or minimizes the fitness function.
	 * @return The selected phenotypes (a new Population).
	 * @throws NullPointerException if the arguments is {@code null}.
	 * @throws IllegalArgumentException if the select count is smaller than zero.
	 */
	public Population select(
		final Population population,
		final int count,
		final Optimize opt
	);

}