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/* Copyright 2009-2016 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 .
 */
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)
				.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));
		}
	}

}




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