166 lines
4.4 KiB
C#
166 lines
4.4 KiB
C#
//
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// Copyright 2012 Hakan Kjellerstrand
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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using System;
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using System.Collections;
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using System.Collections.Generic;
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using System.Linq;
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using Google.OrTools.ConstraintSolver;
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public class MaxFlowWinston1
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{
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/**
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*
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* Max flow problem.
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*
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* From Winston 'Operations Research', page 420f, 423f
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* Sunco Oil example.
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*
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*
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* Also see http://www.hakank.org/or-tools/max_flow_winston1.py
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*
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*/
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private static void Solve()
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{
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Solver solver = new Solver("MaxFlowWinston1");
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//
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// Data
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//
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int n = 5;
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IEnumerable<int> NODES = Enumerable.Range(0, n);
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// The arcs
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// Note:
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// This is 1-based to be compatible with other implementations.
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//
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int[,] arcs1 = { { 1, 2 }, { 1, 3 }, { 2, 3 }, { 2, 4 }, { 3, 5 }, { 4, 5 }, { 5, 1 } };
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// Capacities
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int[] cap = { 2, 3, 3, 4, 2, 1, 100 };
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// Convert arcs to 0-based
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int num_arcs = arcs1.GetLength(0);
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IEnumerable<int> ARCS = Enumerable.Range(0, num_arcs);
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int[,] arcs = new int[num_arcs, 2];
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foreach (int i in ARCS)
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{
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for (int j = 0; j < 2; j++)
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{
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arcs[i, j] = arcs1[i, j] - 1;
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}
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}
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// Convert arcs to matrix (for sanity checking below)
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int[,] mat = new int[num_arcs, num_arcs];
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foreach (int i in NODES)
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{
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foreach (int j in NODES)
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{
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int c = 0;
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foreach (int k in ARCS)
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{
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if (arcs[k, 0] == i && arcs[k, 1] == j)
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{
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c = 1;
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}
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}
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mat[i, j] = c;
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}
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}
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//
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// Decision variables
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//
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IntVar[,] flow = solver.MakeIntVarMatrix(n, n, 0, 200, "flow");
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IntVar z = flow[n - 1, 0].VarWithName("z");
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//
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// Constraints
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//
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// capacity of arcs
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foreach (int i in ARCS)
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{
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solver.Add(flow[arcs[i, 0], arcs[i, 1]] <= cap[i]);
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}
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// inflows == outflows
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foreach (int i in NODES)
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{
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var s1 = (from k in ARCS where arcs[k, 1] ==
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i select flow[arcs[k, 0], arcs[k, 1]])
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.ToArray()
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.Sum();
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var s2 = (from k in ARCS where arcs[k, 0] ==
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i select flow[arcs[k, 0], arcs[k, 1]])
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.ToArray()
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.Sum();
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solver.Add(s1 == s2);
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}
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// Sanity check: just arcs with connections can have a flow.
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foreach (int i in NODES)
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{
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foreach (int j in NODES)
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{
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if (mat[i, j] == 0)
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{
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solver.Add(flow[i, j] == 0);
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}
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}
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}
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//
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// Objective
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//
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OptimizeVar obj = z.Maximize(1);
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//
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// Search
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//
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DecisionBuilder db = solver.MakePhase(flow.Flatten(), Solver.INT_VAR_DEFAULT, Solver.ASSIGN_MAX_VALUE);
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solver.NewSearch(db, obj);
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while (solver.NextSolution())
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{
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Console.WriteLine("z: {0}", z.Value());
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foreach (int i in NODES)
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{
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foreach (int j in NODES)
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{
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Console.Write(flow[i, j].Value() + " ");
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}
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Console.WriteLine();
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}
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Console.WriteLine();
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}
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Console.WriteLine("\nSolutions: {0}", solver.Solutions());
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Console.WriteLine("WallTime: {0}ms", solver.WallTime());
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Console.WriteLine("Failures: {0}", solver.Failures());
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Console.WriteLine("Branches: {0} ", solver.Branches());
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solver.EndSearch();
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}
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public static void Main(String[] args)
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{
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Solve();
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}
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}
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