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ortools-clone/examples/contrib/lectures.cs
2024-05-30 10:51:55 +02:00

181 lines
4.9 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.Linq;
using Google.OrTools.ConstraintSolver;
public class Lectures
{
/**
*
* Lectures problem in Google CP Solver.
*
* Biggs: Discrete Mathematics (2nd ed), page 187.
* """
* Suppose we wish to schedule six one-hour lectures, v1, v2, v3, v4, v5, v6.
* Among the potential audience there are people who wish to hear both
*
* - v1 and v2
* - v1 and v4
* - v3 and v5
* - v2 and v6
* - v4 and v5
* - v5 and v6
* - v1 and v6
*
* How many hours are necessary in order that the lectures can be given
* without clashes?
* """
*
* Note: This can be seen as a coloring problem.
*
* Also see http://www.hakank.org/or-tools/lectures.py
*
*/
private static void Solve()
{
Solver solver = new Solver("Lectures");
//
// The schedule requirements:
// lecture a cannot be held at the same time as b
// Note: 1-based (compensated in the constraints).
int[,] g = { { 1, 2 }, { 1, 4 }, { 3, 5 }, { 2, 6 }, { 4, 5 }, { 5, 6 }, { 1, 6 } };
// number of nodes
int n = 6;
// number of edges
int edges = g.GetLength(0);
//
// Decision variables
//
//
// declare variables
//
IntVar[] v = solver.MakeIntVarArray(n, 0, n - 1, "v");
// Maximum color (hour) to minimize.
// Note: since C# is 0-based, the
// number of colors is max_c+1.
IntVar max_c = v.Max().VarWithName("max_c");
//
// Constraints
//
// Ensure that there are no clashes
// also, adjust to 0-base.
for (int i = 0; i < edges; i++)
{
solver.Add(v[g[i, 0] - 1] != v[g[i, 1] - 1]);
}
// Symmetry breaking:
// - v0 has the color 0,
// - v1 has either color 0 or 1
solver.Add(v[0] == 0);
solver.Add(v[1] <= 1);
//
// Objective
//
OptimizeVar obj = max_c.Minimize(1);
//
// Search
//
DecisionBuilder db = solver.MakePhase(v, Solver.CHOOSE_MIN_SIZE_LOWEST_MIN, Solver.ASSIGN_MIN_VALUE);
solver.NewSearch(db, obj);
while (solver.NextSolution())
{
Console.WriteLine("\nmax hours: {0}", max_c.Value() + 1);
Console.WriteLine("v: " +
String.Join(" ", (from i in Enumerable.Range(0, n) select v[i].Value()).ToArray()));
for (int i = 0; i < n; i++)
{
Console.WriteLine("Lecture {0} at {1}h", i, v[i].Value());
}
Console.WriteLine("\n");
}
Console.WriteLine("\nSolutions: " + solver.Solutions());
Console.WriteLine("WallTime: " + solver.WallTime() + "ms ");
Console.WriteLine("Failures: " + solver.Failures());
Console.WriteLine("Branches: " + solver.Branches());
solver.EndSearch();
}
// Print the current solution
public static void PrintOneSolution(IntVar[] positions, int rows, int cols, int num_solution)
{
Console.WriteLine("Solution {0}", num_solution);
// Create empty board
int[,] board = new int[rows, cols];
for (int i = 0; i < rows; i++)
{
for (int j = 0; j < cols; j++)
{
board[i, j] = 0;
}
}
// Fill board with solution value
for (int k = 0; k < rows * cols; k++)
{
int position = (int)positions[k].Value();
board[position / cols, position % cols] = k + 1;
}
PrintMatrix(board);
}
// Pretty print of the matrix
public static void PrintMatrix(int[,] game)
{
int rows = game.GetLength(0);
int cols = game.GetLength(1);
for (int i = 0; i < rows; i++)
{
for (int j = 0; j < cols; j++)
{
if (game[i, j] == 0)
{
Console.Write(" .");
}
else
{
Console.Write(" {0,2}", game[i, j]);
}
}
Console.WriteLine();
}
Console.WriteLine();
}
public static void Main(String[] args)
{
Solve();
}
}