197 lines
6.0 KiB
Java
197 lines
6.0 KiB
Java
// 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.contrib;
|
|
|
|
import com.google.ortools.Loader;
|
|
import com.google.ortools.constraintsolver.*;
|
|
import java.io.*;
|
|
import java.text.*;
|
|
import java.util.*;
|
|
|
|
public class SendMoreMoney2 {
|
|
static Solver sol;
|
|
// Some helper methods
|
|
static IntExpr p(IntExpr a, int b, IntExpr c) {
|
|
return sol.makeSum(sol.makeProd(a, b), c);
|
|
}
|
|
|
|
static IntExpr p(IntVar a, int b) {
|
|
return sol.makeProd(a, b);
|
|
}
|
|
|
|
// a slighly more intelligent scalar product
|
|
static IntExpr sp(IntVar[] a) {
|
|
int len = a.length;
|
|
int c = 1;
|
|
int[] t = new int[len];
|
|
for (int i = len - 1; i >= 0; i--) {
|
|
t[i] = c;
|
|
c *= 10;
|
|
}
|
|
return sol.makeScalProd(a, t);
|
|
}
|
|
|
|
/** Solves the SEND+MORE=MONEY problem with different approaches. */
|
|
private static void solve(int alt) {
|
|
|
|
sol = new Solver("SendMoreMoney");
|
|
|
|
int base = 10;
|
|
|
|
//
|
|
// variables
|
|
//
|
|
IntVar s = sol.makeIntVar(0, base - 1, "s");
|
|
IntVar e = sol.makeIntVar(0, base - 1, "e");
|
|
IntVar n = sol.makeIntVar(0, base - 1, "n");
|
|
IntVar d = sol.makeIntVar(0, base - 1, "d");
|
|
IntVar m = sol.makeIntVar(0, base - 1, "m");
|
|
IntVar o = sol.makeIntVar(0, base - 1, "o");
|
|
IntVar r = sol.makeIntVar(0, base - 1, "r");
|
|
IntVar y = sol.makeIntVar(0, base - 1, "y");
|
|
|
|
IntVar[] x = {s, e, n, d, m, o, r, y};
|
|
|
|
//
|
|
// Constraints
|
|
//
|
|
|
|
/*
|
|
*
|
|
* Below are some alternatives encodings of the
|
|
* same idea:
|
|
*
|
|
* 1000*s + 100*e + 10*n + d +
|
|
* 1000*m + 100*o + 10*r + e ==
|
|
* 10000*m + 1000*o + 100*n + 10*e + y
|
|
*
|
|
*/
|
|
|
|
if (alt == 0) {
|
|
//
|
|
// First, a version approach which is just too noisy.
|
|
//
|
|
sol.addConstraint(
|
|
sol.makeEquality(
|
|
sol.makeSum(
|
|
sol.makeSum(
|
|
sol.makeProd(s, 1000),
|
|
sol.makeSum(
|
|
sol.makeProd(e, 100),
|
|
sol.makeSum(sol.makeProd(n, 10), sol.makeProd(d, 1)))),
|
|
sol.makeSum(
|
|
sol.makeProd(m, 1000),
|
|
sol.makeSum(
|
|
sol.makeProd(o, 100),
|
|
sol.makeSum(sol.makeProd(r, 10), sol.makeProd(e, 1)))))
|
|
.var(),
|
|
sol.makeSum(
|
|
sol.makeProd(m, 10000),
|
|
sol.makeSum(
|
|
sol.makeProd(o, 1000),
|
|
sol.makeSum(
|
|
sol.makeProd(n, 100),
|
|
sol.makeSum(sol.makeProd(e, 10), sol.makeProd(y, 1)))))
|
|
.var()));
|
|
|
|
} else if (alt == 1) {
|
|
|
|
//
|
|
// Alternative 1, using the helper methods
|
|
//
|
|
// p(IntExpr, int, IntExpr) and
|
|
// p(IntVar, int)
|
|
//
|
|
sol.addConstraint(
|
|
sol.makeEquality(
|
|
sol.makeSum(
|
|
p(s, 1000, p(e, 100, p(n, 10, p(d, 1)))),
|
|
p(m, 1000, p(o, 100, p(r, 10, p(e, 1)))))
|
|
.var(),
|
|
p(m, 10000, p(o, 1000, p(n, 100, p(e, 10, p(y, 1))))).var()));
|
|
|
|
} else if (alt == 2) {
|
|
|
|
//
|
|
// Alternative 2
|
|
//
|
|
sol.addConstraint(
|
|
sol.makeEquality(
|
|
sol.makeSum(
|
|
sol.makeScalProd(new IntVar[] {s, e, n, d}, new int[] {1000, 100, 10, 1}),
|
|
sol.makeScalProd(new IntVar[] {m, o, r, e}, new int[] {1000, 100, 10, 1}))
|
|
.var(),
|
|
sol.makeScalProd(new IntVar[] {m, o, n, e, y}, new int[] {10000, 1000, 100, 10, 1})
|
|
.var()));
|
|
|
|
} else if (alt == 3) {
|
|
|
|
//
|
|
// alternative 3: same approach as 2, with some helper methods
|
|
//
|
|
sol.addConstraint(
|
|
sol.makeEquality(
|
|
sol.makeSum(sp(new IntVar[] {s, e, n, d}), sp(new IntVar[] {m, o, r, e})).var(),
|
|
sp(new IntVar[] {m, o, n, e, y}).var()));
|
|
|
|
} else if (alt == 4) {
|
|
|
|
//
|
|
// Alternative 4, using explicit variables
|
|
//
|
|
IntExpr send = sol.makeScalProd(new IntVar[] {s, e, n, d}, new int[] {1000, 100, 10, 1});
|
|
IntExpr more = sol.makeScalProd(new IntVar[] {m, o, r, e}, new int[] {1000, 100, 10, 1});
|
|
IntExpr money =
|
|
sol.makeScalProd(new IntVar[] {m, o, n, e, y}, new int[] {10000, 1000, 100, 10, 1});
|
|
sol.addConstraint(sol.makeEquality(sol.makeSum(send, more).var(), money.var()));
|
|
}
|
|
|
|
// s > 0
|
|
sol.addConstraint(sol.makeGreater(s, 0));
|
|
// m > 0
|
|
sol.addConstraint(sol.makeGreater(m, 0));
|
|
|
|
sol.addConstraint(sol.makeAllDifferent(x));
|
|
|
|
//
|
|
// Search
|
|
//
|
|
DecisionBuilder db = sol.makePhase(x, sol.INT_VAR_DEFAULT, sol.INT_VALUE_DEFAULT);
|
|
sol.newSearch(db);
|
|
while (sol.nextSolution()) {
|
|
for (int i = 0; i < 8; i++) {
|
|
System.out.print(x[i].toString() + " ");
|
|
}
|
|
System.out.println();
|
|
}
|
|
sol.endSearch();
|
|
|
|
//
|
|
// Statistics
|
|
//
|
|
System.out.println();
|
|
System.out.println("Solutions: " + sol.solutions());
|
|
System.out.println("Failures: " + sol.failures());
|
|
System.out.println("Branches: " + sol.branches());
|
|
System.out.println("Wall time: " + sol.wallTime() + "ms");
|
|
}
|
|
|
|
public static void main(String[] args) throws Exception {
|
|
Loader.loadNativeLibraries();
|
|
for (int i = 0; i < 5; i++) {
|
|
System.out.println("\nalternative #" + i);
|
|
SendMoreMoney2.solve(i);
|
|
}
|
|
}
|
|
}
|