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/**
 * Copyright (c) 2015, Ecole des Mines de Nantes
 * All rights reserved.
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 * 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.
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 * THIS SOFTWARE IS PROVIDED BY  ''AS IS'' AND ANY
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 * 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
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package org.chocosolver.samples.integer;

import org.chocosolver.samples.AbstractProblem;
import org.chocosolver.solver.ResolutionPolicy;
import org.chocosolver.solver.Solver;
import org.chocosolver.solver.constraints.IntConstraintFactory;
import org.chocosolver.solver.search.strategy.IntStrategyFactory;
import org.chocosolver.solver.variables.BoolVar;
import org.chocosolver.solver.variables.IntVar;
import org.chocosolver.solver.variables.VariableFactory;
import org.chocosolver.util.tools.StringUtils;
import org.kohsuke.args4j.Option;

import static org.chocosolver.solver.constraints.IntConstraintFactory.*;
import static org.chocosolver.solver.constraints.LogicalConstraintFactory.ifThenElse;

/**
 * gecode:
* "A group of people wants to take a group photo. Each person can give * preferences next to whom he or she wants to be placed on the * photo. The problem to be solved is to find a placement that * violates as few preferences as possible." *
* * @author Charles Prud'homme * @since 03/08/11 */ public class Photo extends AbstractProblem { @Option(name = "-d", aliases = "--data", usage = "Photo preferences .", required = false) Data data = Data.small; IntVar[] positions; IntVar[] dist; BoolVar[] viols; IntVar violations; @Override public void createSolver() { solver = new Solver("Photo"); } @Override public void buildModel() { positions = VariableFactory.boundedArray("pos", data.people(), 0, data.people() - 1, solver); violations = VariableFactory.bounded("viol", 0, data.preferences().length, solver); viols = VariableFactory.boolArray("b", data.prefPerPeople(), solver); dist = new IntVar[data.prefPerPeople()]; for (int i = 0; i < data.prefPerPeople(); i++) { int pa = data.preferences()[(2 * i)]; int pb = data.preferences()[2 * i + 1]; IntVar k = VariableFactory.bounded(StringUtils.randomName(),-20000,20000,solver); solver.post(IntConstraintFactory.sum(new IntVar[]{positions[pb], k}, positions[pa])); dist[i] = VariableFactory.abs(k); ifThenElse(viols[i], arithm(dist[i], ">", 1), arithm(dist[i], "<=", 1)); } solver.post(sum(viols, violations)); solver.post(alldifferent(positions, "BC")); solver.post(arithm(positions[1], ">", positions[0])); } @Override public void configureSearch() { solver.set(IntStrategyFactory.minDom_LB(positions)); } @Override public void solve() { solver.findOptimalSolution(ResolutionPolicy.MINIMIZE, violations); // solver.findAllSolutions(); } @Override public void prettyOut() { System.out.println(String.format("Photo -- %s", data.name())); StringBuilder st = new StringBuilder(); st.append("\tPositions: "); for (int i = 0; i < data.people(); i++) { st.append(String.format("%d ", positions[i].getValue())); } st.append(String.format("\n\tViolations: %d", violations.getValue())); System.out.println(st.toString()); } public static void main(String[] args) { new Photo().execute(args); } /////////////////////////////////// DATA ////////////////////////////////////////////////// static enum Data { small { @Override int[] preferences() { return new int[]{ 0, 2, 1, 4, 2, 3, 2, 4, 3, 0, 4, 3, 4, 0, 4, 1 }; } @Override int people() { return 5; } @Override int prefPerPeople() { return 8; } }, large { @Override int[] preferences() { return new int[]{ 0, 2, 0, 4, 0, 7, 1, 4, 1, 8, 2, 3, 2, 4, 3, 0, 3, 4, 4, 5, 4, 0, 5, 0, 5, 8, 6, 2, 6, 7, 7, 8, 7, 6 }; } @Override int people() { return 9; } @Override int prefPerPeople() { return 17; } }; abstract int[] preferences(); abstract int people(); abstract int prefPerPeople(); } }




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