// NMMin.java // // Author: // Antonio J. Nebro <antonio@lcc.uma.es> // // Copyright (c) 2014 Antonio J. Nebro // // This program 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. // // This program 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 this program. If not, see <http://www.gnu.org/licenses/>. // package org.uma.jmetal.problem.singleobjective; import org.uma.jmetal.problem.impl.AbstractIntegerProblem; import org.uma.jmetal.solution.IntegerSolution; import java.util.ArrayList; import java.util.List; /** * Created by Antonio J. Nebro on 03/07/14. * Single objective problem for testing integer encoding. * Objective: minimizing the distance to value N */ @SuppressWarnings("serial") public class NIntegerMin extends AbstractIntegerProblem { private int valueN ; public NIntegerMin() { this(10, 100, -100, +100); } /** Constructor */ public NIntegerMin(int numberOfVariables, int n, int lowerBound, int upperBound) { valueN = n ; setNumberOfVariables(numberOfVariables); setNumberOfObjectives(1); setName("NIntegerMin"); List<Integer> lowerLimit = new ArrayList<>(getNumberOfVariables()) ; List<Integer> upperLimit = new ArrayList<>(getNumberOfVariables()) ; for (int i = 0; i < getNumberOfVariables(); i++) { lowerLimit.add(lowerBound); upperLimit.add(upperBound); } setLowerLimit(lowerLimit); setUpperLimit(upperLimit); } /** Evaluate() method */ @Override public void evaluate(IntegerSolution solution) { int approximationToN; approximationToN = 0; for (int i = 0; i < solution.getNumberOfVariables(); i++) { int value = solution.getVariableValue(i) ; approximationToN += Math.abs(valueN - value) ; } solution.setObjective(0, approximationToN); } }