/* Copyright 2009-2015 David Hadka
*
* This file is part of the MOEA Framework.
*
* The MOEA Framework is free software: you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as published by
* the Free Software Foundation, either version 3 of the License, or (at your
* option) any later version.
*
* The MOEA Framework is distributed in the hope that it will be useful, but
* WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
* or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public
* License for more details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with the MOEA Framework. If not, see <http://www.gnu.org/licenses/>.
*/
import org.moeaframework.Executor;
import org.moeaframework.core.NondominatedPopulation;
import org.moeaframework.core.Solution;
/**
* Demonstrates using an Executor to solve the UF1 test problem with NSGA-II,
* one of the most widely-used multiobjective evolutionary algorithms.
*/
public class Example1 {
public static void main(String[] args) {
//configure and run this experiment
NondominatedPopulation result = new Executor()
.withProblem("UF1")
.withAlgorithm("NSGAII")
.withMaxEvaluations(10000)
.distributeOnAllCores()
.run();
//display the results
System.out.format("Objective1 Objective2%n");
for (Solution solution : result) {
System.out.format("%.4f %.4f%n",
solution.getObjective(0),
solution.getObjective(1));
}
}
}