/*
* 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.tool.problem;
import java.awt.Point;
import java.util.stream.IntStream;
import org.jenetics.EnumGene;
import org.jenetics.Optimize;
import org.jenetics.engine.Codec;
import org.jenetics.engine.Engine;
import org.jenetics.engine.EvolutionResult;
import org.jenetics.engine.codecs;
import org.jenetics.util.ISeq;
/**
* @author <a href="mailto:franz.wilhelmstoetter@gmx.at">Franz Wilhelmstötter</a>
* @version 3.6
* @since 3.6
*/
public class TSM {
// The locations to visit.
static final ISeq<Point> POINTS = ISeq.of(
new Point(0, 0), new Point(1, 2), new Point(4, 5) // ...
);
// The permutation codec.
static final Codec<ISeq<Point>, EnumGene<Point>> CODEC =
codecs.ofPermutation(POINTS);
// The fitness function (in the problem domain).
static double dist(final ISeq<Point> p) {
return IntStream.range(0, p.length())
.mapToDouble(i -> p.get(i).distance(p.get(i + i%p.length())))
.sum();
}
// The evolution engine.
static final Engine<EnumGene<Point>, Double> ENGINE = Engine
.builder(TSM::dist, CODEC)
.optimize(Optimize.MINIMUM)
.build();
// Find the solution.
public static void main(final String[] args) {
final ISeq<Point> result = ENGINE.stream()
.limit(10)
.collect(EvolutionResult.toBestResult(CODEC));
System.out.println(result);
}
}