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vrp_solution_callback.cc
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vrp_solution_callback.cc
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// Copyright 2010-2024 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]
#include <cstdint>
#include <functional>
#include <sstream>
#include <string>
#include <vector>
#include "google/protobuf/duration.pb.h"
#include "ortools/constraint_solver/routing.h"
#include "ortools/constraint_solver/routing_enums.pb.h"
#include "ortools/constraint_solver/routing_index_manager.h"
#include "ortools/constraint_solver/routing_parameters.h"
// [END import]
namespace operations_research {
// [START data_model]
struct DataModel {
const std::vector<std::vector<int64_t>> distance_matrix{
{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},
};
const int num_vehicles = 4;
const RoutingIndexManager::NodeIndex depot{0};
};
// [END data_model]
//! @brief Print the solution.
//! @param[in] routing_manager Index manager used.
//! @param[in] routing_model Routing solver used.
// [START solution_callback_printer]
void print_solution(const RoutingIndexManager& routing_manager,
const RoutingModel& routing_model) {
LOG(INFO) << "################";
LOG(INFO) << "Solution objective: " << routing_model.CostVar()->Value();
int64_t total_distance = 0;
for (int vehicle_id = 0; vehicle_id < routing_manager.num_vehicles();
++vehicle_id) {
int64_t index = routing_model.Start(vehicle_id);
LOG(INFO) << "Route for Vehicle " << vehicle_id << ":";
int64_t route_distance = 0;
std::stringstream route;
while (!routing_model.IsEnd(index)) {
route << " " << routing_manager.IndexToNode(index).value() << " ->";
const int64_t previous_index = index;
index = routing_model.NextVar(index)->Value();
route_distance += routing_model.GetArcCostForVehicle(
previous_index, index, int64_t{vehicle_id});
}
LOG(INFO) << route.str() << routing_manager.IndexToNode(index).value();
LOG(INFO) << "Distance of the route: " << route_distance << "m";
total_distance += route_distance;
}
LOG(INFO) << "Total distance of all routes: " << total_distance << "m";
}
// [END solution_callback_printer]
// [START solution_callback]
struct SolutionCallback {
const RoutingIndexManager& routing_manager;
const RoutingModel& routing_model;
const int64_t max_solution;
SolutionCallback(const RoutingIndexManager& manager,
const RoutingModel& model, const int64_t max_solution)
: routing_manager(manager),
routing_model(model),
max_solution(max_solution) {
objectives.reserve(max_solution);
}
~SolutionCallback() {}
void Run() {
const int64_t objective = routing_model.CostVar()->Value();
if (objectives.empty() || objective < objectives.back()) {
objectives.push_back(objective);
print_solution(routing_manager, routing_model);
counter++;
}
if (counter >= max_solution) {
routing_model.solver()->FinishCurrentSearch();
}
}
std::vector<int64_t> objectives{};
private:
int64_t counter = 0;
};
// [END solution_callback]
void VrpSolutionCallback() {
// Instantiate the data problem.
// [START data]
DataModel data;
// [END data]
// Create Routing Index Manager.
// [START index_manager]
RoutingIndexManager routing_manager(data.distance_matrix.size(),
data.num_vehicles, data.depot);
// [END index_manager]
// Create Routing Model.
// [START routing_model]
RoutingModel routing_model(routing_manager);
// [END routing_model]
// Create and register a transit callback.
// [START transit_callback]
const int transit_callback_index = routing_model.RegisterTransitCallback(
[&data, &routing_manager](const int64_t from_index,
const int64_t to_index) -> int64_t {
// Convert from routing variable Index to distance matrix NodeIndex.
const int from_node = routing_manager.IndexToNode(from_index).value();
const int to_node = routing_manager.IndexToNode(to_index).value();
return data.distance_matrix[from_node][to_node];
});
// [END transit_callback]
// Define cost of each arc.
// [START arc_cost]
routing_model.SetArcCostEvaluatorOfAllVehicles(transit_callback_index);
// [END arc_cost]
// Add Distance constraint.
// [START distance_constraint]
routing_model.AddDimension(transit_callback_index,
0, // no slack
3000, // vehicle maximum travel distance
true, // start cumul to zero
"Distance");
routing_model.GetMutableDimension("Distance")
->SetGlobalSpanCostCoefficient(100);
// [END distance_constraint]
// Attach a solution callback.
// [START attach_callback]
SolutionCallback solution_callback{routing_manager, routing_model,
/*max_solution=*/15};
routing_model.AddAtSolutionCallback(
std::bind(&SolutionCallback::Run, &solution_callback));
// [END attach_callback]
// Setting first solution heuristic.
// [START parameters]
RoutingSearchParameters search_parameters = DefaultRoutingSearchParameters();
search_parameters.set_first_solution_strategy(
FirstSolutionStrategy::PATH_CHEAPEST_ARC);
search_parameters.set_local_search_metaheuristic(
LocalSearchMetaheuristic::GUIDED_LOCAL_SEARCH);
search_parameters.mutable_time_limit()->set_seconds(5);
// [END parameters]
// Solve the problem.
// [START solve]
const Assignment* solution =
routing_model.SolveWithParameters(search_parameters);
// [END solve]
// Print solution on console.
// [START print_solution]
if (solution != nullptr) {
LOG(INFO) << "Best objectives: "
<< std::to_string(solution_callback.objectives.back());
} else {
LOG(INFO) << "No solution found.";
}
// [END print_solution]
}
} // namespace operations_research
int main(int /*argc*/, char* /*argv*/[]) {
operations_research::VrpSolutionCallback();
return EXIT_SUCCESS;
}
// [END program]