// 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);
}
}