// Copyright 2010-2018 Google LLC // 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. // [START program] // [START import] using System; using System.Collections.Generic; using Google.OrTools.ConstraintSolver; // [END import] /// /// Minimal TSP using distance matrix. /// public class VrpCapacity { // [START data_model] class DataModel { public long[,] DistanceMatrix = { {0, 548, 776, 696, 582, 274, 502, 194, 308, 194, 536, 502, 388, 354, 468, 776, 662}, {548, 0, 684, 308, 194, 502, 730, 354, 696, 742, 1084, 594, 480, 674, 1016, 868, 1210}, {776, 684, 0, 992, 878, 502, 274, 810, 468, 742, 400, 1278, 1164, 1130, 788, 1552, 754}, {696, 308, 992, 0, 114, 650, 878, 502, 844, 890, 1232, 514, 628, 822, 1164, 560, 1358}, {582, 194, 878, 114, 0, 536, 764, 388, 730, 776, 1118, 400, 514, 708, 1050, 674, 1244}, {274, 502, 502, 650, 536, 0, 228, 308, 194, 240, 582, 776, 662, 628, 514, 1050, 708}, {502, 730, 274, 878, 764, 228, 0, 536, 194, 468, 354, 1004, 890, 856, 514, 1278, 480}, {194, 354, 810, 502, 388, 308, 536, 0, 342, 388, 730, 468, 354, 320, 662, 742, 856}, {308, 696, 468, 844, 730, 194, 194, 342, 0, 274, 388, 810, 696, 662, 320, 1084, 514}, {194, 742, 742, 890, 776, 240, 468, 388, 274, 0, 342, 536, 422, 388, 274, 810, 468}, {536, 1084, 400, 1232, 1118, 582, 354, 730, 388, 342, 0, 878, 764, 730, 388, 1152, 354}, {502, 594, 1278, 514, 400, 776, 1004, 468, 810, 536, 878, 0, 114, 308, 650, 274, 844}, {388, 480, 1164, 628, 514, 662, 890, 354, 696, 422, 764, 114, 0, 194, 536, 388, 730}, {354, 674, 1130, 822, 708, 628, 856, 320, 662, 388, 730, 308, 194, 0, 342, 422, 536}, {468, 1016, 788, 1164, 1050, 514, 514, 662, 320, 274, 388, 650, 536, 342, 0, 764, 194}, {776, 868, 1552, 560, 674, 1050, 1278, 742, 1084, 810, 1152, 274, 388, 422, 764, 0, 798}, {662, 1210, 754, 1358, 1244, 708, 480, 856, 514, 468, 354, 844, 730, 536, 194, 798, 0} }; // [START demands_capacities] public long[] Demands = {0, 1, 1, 2, 4, 2, 4, 8, 8, 1, 2, 1, 2, 4, 4, 8, 8}; public long[] VehicleCapacities = {15, 15, 15, 15}; // [END demands_capacities] public int VehicleNumber = 4; public int Depot = 0; }; // [END data_model] // [START solution_printer] /// /// Print the solution. /// static void PrintSolution( in DataModel data, in RoutingModel routing, in RoutingIndexManager manager, in Assignment solution) { // Inspect solution. long totalDistance = 0; long totalLoad = 0; for (int i = 0; i < data.VehicleNumber; ++i) { Console.WriteLine("Route for Vehicle {0}:", i); long routeDistance = 0; long routeLoad = 0; var index = routing.Start(i); while (routing.IsEnd(index) == false) { long nodeIndex = manager.IndexToNode(index); routeLoad += data.Demands[nodeIndex]; Console.Write("{0} Load({1}) -> ", nodeIndex, routeLoad); var previousIndex = index; index = solution.Value(routing.NextVar(index)); routeDistance += routing.GetArcCostForVehicle(previousIndex, index, 0); } Console.WriteLine("{0}", manager.IndexToNode((int)index)); Console.WriteLine("Distance of the route: {0}m", routeDistance); totalDistance += routeDistance; totalLoad += routeLoad; } Console.WriteLine("Total distance of all routes: {0}m", totalDistance); Console.WriteLine("Total load of all routes: {0}m", totalLoad); } // [END solution_printer] public static void Main(String[] args) { // Instantiate the data problem. // [START data] DataModel data = new DataModel(); // [END data] // Create Routing Index Manager // [START index_manager] RoutingIndexManager manager = new RoutingIndexManager( data.DistanceMatrix.GetLength(0), data.VehicleNumber, data.Depot); // [END index_manager] // Create Routing Model. // [START routing_model] RoutingModel routing = new RoutingModel(manager); // [END routing_model] // Create and register a transit callback. // [START transit_callback] int transitCallbackIndex = routing.RegisterTransitCallback( (long fromIndex, long toIndex) => { // Convert from routing variable Index to distance matrix NodeIndex. var fromNode = manager.IndexToNode(fromIndex); var toNode = manager.IndexToNode(toIndex); return data.DistanceMatrix[fromNode, toNode]; } ); // [END transit_callback] // Define cost of each arc. // [START arc_cost] routing.SetArcCostEvaluatorOfAllVehicles(transitCallbackIndex); // [END arc_cost] // Add Capacity constraint. // [START capacity_constraint] int demandCallbackIndex = routing.RegisterUnaryTransitCallback( (long fromIndex) => { // Convert from routing variable Index to demand NodeIndex. var fromNode = manager.IndexToNode(fromIndex); return data.Demands[fromNode]; } ); routing.AddDimensionWithVehicleCapacity( demandCallbackIndex, 0, // null capacity slack data.VehicleCapacities, // vehicle maximum capacities true, // start cumul to zero "Capacity"); // [END capacity_constraint] // Setting first solution heuristic. // [START parameters] RoutingSearchParameters searchParameters = operations_research_constraint_solver.DefaultRoutingSearchParameters(); searchParameters.FirstSolutionStrategy = FirstSolutionStrategy.Types.Value.PathCheapestArc; // [END parameters] // Solve the problem. // [START solve] Assignment solution = routing.SolveWithParameters(searchParameters); // [END solve] // Print solution on console. // [START print_solution] PrintSolution(data, routing, manager, solution); // [END print_solution] } } // [END program]