org.chocosolver.samples.integer.AbsoluteEvaluation Maven / Gradle / Ivy
/**
* Copyright (c) 2015, Ecole des Mines de Nantes
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* 3. All advertising materials mentioning features or use of this software
* must display the following acknowledgement:
* This product includes software developed by the .
* 4. Neither the name of the nor the
* names of its contributors may be used to endorse or promote products
* derived from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY ''AS IS'' AND ANY
* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL BE LIABLE FOR ANY
* DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
package org.chocosolver.samples.integer;
import org.chocosolver.samples.AbstractProblem;
import org.chocosolver.solver.Solver;
import org.chocosolver.solver.constraints.Constraint;
import org.chocosolver.solver.constraints.IntConstraintFactory;
import org.chocosolver.solver.search.strategy.IntStrategyFactory;
import org.chocosolver.solver.variables.IntVar;
import org.chocosolver.solver.variables.VariableFactory;
import java.util.Random;
/**
* Example showing how to use absolute constraint
* Created by IntelliJ IDEA.
* User: njussien
* Date: 31/05/12
* Time: 11:39
*/
public class AbsoluteEvaluation extends AbstractProblem {
IntVar[] vars;
@Override
public void createSolver() {
solver = new Solver("AbsoluteEvaluation");
}
@Override
public void buildModel() {
Random rand = new Random(seed);
int minX = -20 + rand.nextInt(40);
int maxX = minX + rand.nextInt(40);
int minY = -20 + rand.nextInt(40);
int maxY = minY + rand.nextInt(40);
vars = new IntVar[2];
vars[0] = VariableFactory.bounded("X", minX, maxX, solver);
vars[1] = VariableFactory.bounded("Y", minY, maxY, solver);
Constraint abs = IntConstraintFactory.absolute(vars[0], vars[1]);
solver.post(abs);
}
@Override
public void configureSearch() {
solver.set(IntStrategyFactory.minDom_LB(vars));
}
@Override
public void solve() {
solver.findSolution();
}
@Override
public void prettyOut() {
System.out.println("AbsoluteEvaluation({})");
StringBuilder st = new StringBuilder();
st.append("\t");
for (int i = 0; i < vars.length - 1; i++) {
st.append(String.format("%d ", vars[i].getValue()));
if (i % 10 == 9) {
st.append("\n\t");
}
}
st.append(String.format("%d", vars[vars.length - 1].getValue()));
System.out.println(st.toString());
}
public static void main(String[] args) {
new AbsoluteEvaluation().execute(args);
}
}