/*
* Java Genetic Algorithm Library (@__identifier__@).
* Copyright (c) @__year__@ 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 (franz.wilhelmstoetter@gmx.at)
*/
package org.jenetics.engine;
import static java.util.Objects.requireNonNull;
import java.util.function.Function;
import org.jenetics.Gene;
/**
* This interface describes a <i>problem</i> which can be solved by the GA
* evolution {@code Engine}. It connects the actual {@link #fitness()} function
* and the needed {@link #codec()}.
*
* @see Codec
* @see Engine
*
* @param <T> the (<i>native</i>) argument type of the problem fitness function
* @param <G> the gene type the evolution engine is working with
* @param <C> the result type of the fitness function
*
* @author <a href="mailto:franz.wilhelmstoetter@gmx.at">Franz Wilhelmstötter</a>
* @version 3.4
* @since 3.4
*/
public interface Problem<
T,
G extends Gene<?, G>,
C extends Comparable<? super C>
>
{
/**
* Return the fitness function of the <i>problem</i> in the <i>native</i>
* problem domain.
*
* @return the fitness function
*/
public Function<T, C> fitness();
/**
* Return the codec, which translates the types of the problem domain into
* types, which can be understand by the evolution {@code Engine}.
*
* @return the engine codec
*/
public Codec<T, G> codec();
/**
* Return a new optimization <i>problem</i> with the given parameters.
*
* @param fitness the problem fitness function
* @param codec the evolution engine codec
* @param <T> the (<i>native</i>) argument type of the problem fitness function
* @param <G> the gene type the evolution engine is working with
* @param <C> the result type of the fitness function
* @return a new problem object from the given parameters
* @throws NullPointerException if one of the arguments is {@code null}
*/
public static <T, G extends Gene<?, G>, C extends Comparable<? super C>>
Problem<T, G, C> of(
final Function<T, C> fitness,
final Codec<T, G> codec
) {
requireNonNull(fitness);
requireNonNull(codec);
return new Problem<T, G, C>() {
@Override
public Codec<T, G> codec() {
return codec;
}
@Override
public Function<T, C> fitness() {
return fitness;
}
};
}
}