Google OR-Tools v9.15
a fast and portable software suite for combinatorial optimization
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tsp_distance_matrix.cc

Simple TSP example.

1// Copyright 2010-2025 Google LLC
2// Licensed under the Apache License, Version 2.0 (the "License");
3// you may not use this file except in compliance with the License.
4// You may obtain a copy of the License at
5//
6// http://www.apache.org/licenses/LICENSE-2.0
7//
8// Unless required by applicable law or agreed to in writing, software
9// distributed under the License is distributed on an "AS IS" BASIS,
10// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
11// See the License for the specific language governing permissions and
12// limitations under the License.
13
14// [START program]
15// [START import]
16#include <cstdint>
17#include <cstdlib>
18#include <sstream>
19#include <vector>
20
27// [END import]
28
29namespace operations_research {
30// [START data_model]
31struct DataModel {
32 const std::vector<std::vector<int>> distance_matrix{
33 {0, 548, 776, 696, 582, 274, 502, 194, 308, 194, 536, 502, 388, 354, 468,
34 776, 662},
35 {548, 0, 684, 308, 194, 502, 730, 354, 696, 742, 1084, 594, 480, 674,
36 1016, 868, 1210},
37 {776, 684, 0, 992, 878, 502, 274, 810, 468, 742, 400, 1278, 1164, 1130,
38 788, 1552, 754},
39 {696, 308, 992, 0, 114, 650, 878, 502, 844, 890, 1232, 514, 628, 822,
40 1164, 560, 1358},
41 {582, 194, 878, 114, 0, 536, 764, 388, 730, 776, 1118, 400, 514, 708,
42 1050, 674, 1244},
43 {274, 502, 502, 650, 536, 0, 228, 308, 194, 240, 582, 776, 662, 628, 514,
44 1050, 708},
45 {502, 730, 274, 878, 764, 228, 0, 536, 194, 468, 354, 1004, 890, 856, 514,
46 1278, 480},
47 {194, 354, 810, 502, 388, 308, 536, 0, 342, 388, 730, 468, 354, 320, 662,
48 742, 856},
49 {308, 696, 468, 844, 730, 194, 194, 342, 0, 274, 388, 810, 696, 662, 320,
50 1084, 514},
51 {194, 742, 742, 890, 776, 240, 468, 388, 274, 0, 342, 536, 422, 388, 274,
52 810, 468},
53 {536, 1084, 400, 1232, 1118, 582, 354, 730, 388, 342, 0, 878, 764, 730,
54 388, 1152, 354},
55 {502, 594, 1278, 514, 400, 776, 1004, 468, 810, 536, 878, 0, 114, 308,
56 650, 274, 844},
57 {388, 480, 1164, 628, 514, 662, 890, 354, 696, 422, 764, 114, 0, 194, 536,
58 388, 730},
59 {354, 674, 1130, 822, 708, 628, 856, 320, 662, 388, 730, 308, 194, 0, 342,
60 422, 536},
61 {468, 1016, 788, 1164, 1050, 514, 514, 662, 320, 274, 388, 650, 536, 342,
62 0, 764, 194},
63 {776, 868, 1552, 560, 674, 1050, 1278, 742, 1084, 810, 1152, 274, 388,
64 422, 764, 0, 798},
65 {662, 1210, 754, 1358, 1244, 708, 480, 856, 514, 468, 354, 844, 730, 536,
66 194, 798, 0},
67 };
68 const int num_vehicles = 1;
69 const RoutingIndexManager::NodeIndex depot{0};
70};
71// [END data_model]
72
73// [START solution_printer]
78void PrintSolution(const RoutingIndexManager& manager,
79 const RoutingModel& routing, const Assignment& solution) {
80 LOG(INFO) << "Objective: " << solution.ObjectiveValue();
81 // Inspect solution.
82 int64_t index = routing.Start(0);
83 LOG(INFO) << "Route for Vehicle 0:";
84 int64_t distance{0};
85 std::stringstream route;
86 while (!routing.IsEnd(index)) {
87 route << manager.IndexToNode(index).value() << " -> ";
88 const int64_t previous_index = index;
89 index = solution.Value(routing.NextVar(index));
90 distance += routing.GetArcCostForVehicle(previous_index, index, int64_t{0});
91 }
92 LOG(INFO) << route.str() << manager.IndexToNode(index).value();
93 LOG(INFO) << "Distance of the route: " << distance << "m";
94 LOG(INFO) << "";
95 LOG(INFO) << "Advanced usage:";
96 LOG(INFO) << "Problem solved in " << routing.solver()->wall_time() << "ms";
97}
98// [END solution_printer]
99
100void Tsp() {
101 // Instantiate the data problem.
102 // [START data]
103 DataModel data;
104 // [END data]
105
106 // Create Routing Index Manager
107 // [START index_manager]
108 RoutingIndexManager manager(data.distance_matrix.size(), data.num_vehicles,
109 data.depot);
110 // [END index_manager]
111
112 // Create Routing Model.
113 // [START routing_model]
114 RoutingModel routing(manager);
115 // [END routing_model]
116
117 // Create and register a transit callback.
118 // [START transit_callback]
119 const int transit_callback_index = routing.RegisterTransitCallback(
120 [&data, &manager](const int64_t from_index,
121 const int64_t to_index) -> int64_t {
122 // Convert from routing variable Index to distance matrix NodeIndex.
123 const int from_node = manager.IndexToNode(from_index).value();
124 const int to_node = manager.IndexToNode(to_index).value();
125 return data.distance_matrix[from_node][to_node];
126 });
127 // [END transit_callback]
128
129 // Define cost of each arc.
130 // [START arc_cost]
131 routing.SetArcCostEvaluatorOfAllVehicles(transit_callback_index);
132 // [END arc_cost]
133
134 // Setting first solution heuristic.
135 // [START parameters]
136 RoutingSearchParameters searchParameters = DefaultRoutingSearchParameters();
137 searchParameters.set_first_solution_strategy(
139 // [END parameters]
140
141 // Solve the problem.
142 // [START solve]
143 const Assignment* solution = routing.SolveWithParameters(searchParameters);
144 // [END solve]
145
146 // Print solution on console.
147 // [START print_solution]
148 PrintSolution(manager, routing, *solution);
149 // [END print_solution]
150}
151
152} // namespace operations_research
153
154int main(int /*argc*/, char* /*argv*/[]) {
155 operations_research::Tsp();
156 return EXIT_SUCCESS;
157}
158// [END program]
int main(int argc, char **argv)
Definition fz.cc:218
OR-Tools root namespace.
Select next search node to expand Select next item_i to add this new search node to the search Generate a new search node where item_i is not in the knapsack Check validity of this new partial solution(using propagators) - If valid
RoutingSearchParameters DefaultRoutingSearchParameters()
The vehicle routing library lets one model and solve generic vehicle routing problems ranging from th...