// Copyright 2011 Hakan Kjellerstrand hakank@gmail.com // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. package com.google.ortools.examples; import com.google.ortools.constraintsolver.DecisionBuilder; import com.google.ortools.constraintsolver.IntVar; import com.google.ortools.constraintsolver.OptimizeVar; import com.google.ortools.constraintsolver.Solver; import java.io.*; import java.text.*; import java.util.*; public class CoinsGrid { static { System.loadLibrary("jniortools"); } /** Solves the Coins Grid problem. See http://www.hakank.org/google_or_tools/coins_grid.py */ private static void solve() { Solver solver = new Solver("CoinsGrid"); // // data // int n = 31; int c = 14; // // variables // IntVar[][] x = new IntVar[n][n]; IntVar[] x_flat = new IntVar[n * n]; for (int i = 0; i < n; i++) { for (int j = 0; j < n; j++) { x[i][j] = solver.makeIntVar(0, 1, "x[" + i + "," + j + "]"); x_flat[i * n + j] = x[i][j]; } } // // constraints // // sum row/columns == c for (int i = 0; i < n; i++) { IntVar[] row = new IntVar[n]; IntVar[] col = new IntVar[n]; for (int j = 0; j < n; j++) { row[j] = x[i][j]; col[j] = x[j][i]; } solver.addConstraint(solver.makeSumEquality(row, c)); solver.addConstraint(solver.makeSumEquality(col, c)); } // quadratic horizonal distance IntVar[] obj_tmp = new IntVar[n * n]; for (int i = 0; i < n; i++) { for (int j = 0; j < n; j++) { obj_tmp[i * n + j] = solver.makeProd(x[i][j], (i - j) * (i - j)).var(); } } IntVar obj_var = solver.makeSum(obj_tmp).var(); // // objective // OptimizeVar obj = solver.makeMinimize(obj_var, 1); // // search // DecisionBuilder db = solver.makePhase(x_flat, solver.CHOOSE_FIRST_UNBOUND, solver.ASSIGN_MAX_VALUE); solver.newSearch(db, obj); // // output // while (solver.nextSolution()) { System.out.println("obj_var: " + obj_var.value()); for (int i = 0; i < n; i++) { for (int j = 0; j < n; j++) { System.out.print(x[i][j].value() + " "); } System.out.println(); } System.out.println(); } solver.endSearch(); // Statistics System.out.println(); System.out.println("Solutions: " + solver.solutions()); System.out.println("Failures: " + solver.failures()); System.out.println("Branches: " + solver.branches()); System.out.println("Wall time: " + solver.wallTime() + "ms"); } public static void main(String[] args) throws Exception { CoinsGrid.solve(); } }