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ortools-clone/examples/contrib/set_covering4.cs
2020-11-03 10:15:53 +01:00

134 lines
4.0 KiB
C#

//
// Copyright 2012 Hakan Kjellerstrand
//
// 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.
using System;
using System.Collections;
using System.IO;
using System.Text.RegularExpressions;
using Google.OrTools.ConstraintSolver;
public class SetCovering4
{
/**
*
* Solves a set covering problem.
* See See http://www.hakank.org/or-tools/set_covering4.py
*
*/
private static void Solve(int set_partition)
{
Solver solver = new Solver("SetCovering4");
//
// data
//
// Set partition and set covering problem from
// Example from the Swedish book
// Lundgren, Roennqvist, Vaebrand
// 'Optimeringslaera' (translation: 'Optimization theory'),
// page 408.
int num_alternatives = 10;
int num_objects = 8;
// costs for the alternatives
int[] costs = { 19, 16, 18, 13, 15, 19, 15, 17, 16, 15 };
// the alternatives, and their objects
int[,] a = { // 1 2 3 4 5 6 7 8 the objects
{ 1, 0, 0, 0, 0, 1, 0, 0 }, // alternative 1
{ 0, 1, 0, 0, 0, 1, 0, 1 }, // alternative 2
{ 1, 0, 0, 1, 0, 0, 1, 0 }, // alternative 3
{ 0, 1, 1, 0, 1, 0, 0, 0 }, // alternative 4
{ 0, 1, 0, 0, 1, 0, 0, 0 }, // alternative 5
{ 0, 1, 1, 0, 0, 0, 0, 0 }, // alternative 6
{ 0, 1, 1, 1, 0, 0, 0, 0 }, // alternative 7
{ 0, 0, 0, 1, 1, 0, 0, 1 }, // alternative 8
{ 0, 0, 1, 0, 0, 1, 0, 1 }, // alternative 9
{ 1, 0, 0, 0, 0, 1, 1, 0 }
}; // alternative 10
//
// Decision variables
//
IntVar[] x = solver.MakeIntVarArray(num_alternatives, 0, 1, "x");
// number of assigned senators, to be minimized
IntVar z = x.ScalProd(costs).VarWithName("z");
//
// Constraints
//
for (int j = 0; j < num_objects; j++)
{
IntVar[] b = new IntVar[num_alternatives];
for (int i = 0; i < num_alternatives; i++)
{
b[i] = (x[i] * a[i, j]).Var();
}
if (set_partition == 1)
{
solver.Add(b.Sum() >= 1);
}
else
{
solver.Add(b.Sum() == 1);
}
}
//
// objective
//
OptimizeVar objective = z.Minimize(1);
//
// Search
//
DecisionBuilder db = solver.MakePhase(x, Solver.INT_VAR_DEFAULT, Solver.INT_VALUE_DEFAULT);
solver.NewSearch(db, objective);
while (solver.NextSolution())
{
Console.WriteLine("z: " + z.Value());
Console.Write("Selected alternatives: ");
for (int i = 0; i < num_alternatives; i++)
{
if (x[i].Value() == 1)
{
Console.Write((i + 1) + " ");
}
}
Console.WriteLine("\n");
}
Console.WriteLine("\nSolutions: {0}", solver.Solutions());
Console.WriteLine("WallTime: {0}ms", solver.WallTime());
Console.WriteLine("Failures: {0}", solver.Failures());
Console.WriteLine("Branches: {0} ", solver.Branches());
solver.EndSearch();
}
public static void Main(String[] args)
{
Console.WriteLine("Set partition:");
Solve(1);
Console.WriteLine("\nSet covering:");
Solve(0);
}
}