/** * Copyright (c) 1999-2011, 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: * * * Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * * 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. * * Neither the name of the Ecole des Mines de Nantes 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 THE REGENTS AND CONTRIBUTORS ``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 THE REGENTS AND CONTRIBUTORS 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. */ import com.google.ortools.constraintsolver.DecisionBuilder; import com.google.ortools.constraintsolver.IntExpr; import com.google.ortools.constraintsolver.IntVar; import com.google.ortools.constraintsolver.OptimizeVar; import com.google.ortools.constraintsolver.SearchMonitor; import com.google.ortools.constraintsolver.SolutionCollector; import com.google.ortools.constraintsolver.Solver; /** * Golomb ruler problem *
* * @author Charles Prud'homme * @since 17/03/11 */ public class GolombRuler { static { System.loadLibrary("jniortools"); } /** * Golomb Ruler Problem. */ private static void solve(int m) { Solver solver = new Solver("GR " + m); IntVar[] ticks = solver.makeIntVarArray(m, 0, ((m < 31) ? (1 << (m + 1)) - 1 : 9999), "ticks"); solver.addConstraint(solver.makeEquality(ticks[0], 0)); for (int i = 0; i < ticks.length - 1; i++) { solver.addConstraint(solver.makeLess(ticks[i], ticks[i + 1])); } IntVar[] diff = new IntVar[(m * m - m) / 2]; for (int k = 0, i = 0; i < m - 1; i++) { for (int j = i + 1; j < m; j++, k++) { diff[k] = solver.makeDifference(ticks[j], ticks[i]).var(); solver.addConstraint( solver.makeGreaterOrEqual(diff[k], (j - i) * (j - i + 1) / 2)); } } solver.addConstraint(solver.makeAllDifferent(diff)); // break symetries if (m > 2) { solver.addConstraint(solver.makeLess(diff[0], diff[diff.length - 1])); } OptimizeVar opt = solver.makeMinimize(ticks[m - 1], 1); DecisionBuilder db = solver.makePhase(ticks, solver.CHOOSE_MIN_SIZE_LOWEST_MIN, solver.ASSIGN_MIN_VALUE); SolutionCollector collector = solver.makeLastSolutionCollector(); collector.add(ticks); collector.addObjective(ticks[m - 1]); SearchMonitor log = solver.makeSearchLog(10000, opt); solver.solve(db, opt, log, collector); System.out.println("Optimal solution = " + collector.objectiveValue(0)); for (int i = 0; i < m; ++i) { System.out.print("[" + collector.value(0, ticks[i]) + "] "); } System.out.println(); } public static void main(String[] args) throws Exception { GolombRuler.solve(8); } }