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vrp_resources.cc
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vrp_resources.cc
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// Copyright 2010-2022 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 <sstream>
#include <string>
#include <utility>
#include <vector>
#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>> time_matrix{
{0, 6, 9, 8, 7, 3, 6, 2, 3, 2, 6, 6, 4, 4, 5, 9, 7},
{6, 0, 8, 3, 2, 6, 8, 4, 8, 8, 13, 7, 5, 8, 12, 10, 14},
{9, 8, 0, 11, 10, 6, 3, 9, 5, 8, 4, 15, 14, 13, 9, 18, 9},
{8, 3, 11, 0, 1, 7, 10, 6, 10, 10, 14, 6, 7, 9, 14, 6, 16},
{7, 2, 10, 1, 0, 6, 9, 4, 8, 9, 13, 4, 6, 8, 12, 8, 14},
{3, 6, 6, 7, 6, 0, 2, 3, 2, 2, 7, 9, 7, 7, 6, 12, 8},
{6, 8, 3, 10, 9, 2, 0, 6, 2, 5, 4, 12, 10, 10, 6, 15, 5},
{2, 4, 9, 6, 4, 3, 6, 0, 4, 4, 8, 5, 4, 3, 7, 8, 10},
{3, 8, 5, 10, 8, 2, 2, 4, 0, 3, 4, 9, 8, 7, 3, 13, 6},
{2, 8, 8, 10, 9, 2, 5, 4, 3, 0, 4, 6, 5, 4, 3, 9, 5},
{6, 13, 4, 14, 13, 7, 4, 8, 4, 4, 0, 10, 9, 8, 4, 13, 4},
{6, 7, 15, 6, 4, 9, 12, 5, 9, 6, 10, 0, 1, 3, 7, 3, 10},
{4, 5, 14, 7, 6, 7, 10, 4, 8, 5, 9, 1, 0, 2, 6, 4, 8},
{4, 8, 13, 9, 8, 7, 10, 3, 7, 4, 8, 3, 2, 0, 4, 5, 6},
{5, 12, 9, 14, 12, 6, 6, 7, 3, 3, 4, 7, 6, 4, 0, 9, 2},
{9, 10, 18, 6, 8, 12, 15, 8, 13, 9, 13, 3, 4, 5, 9, 0, 9},
{7, 14, 9, 16, 14, 8, 5, 10, 6, 5, 4, 10, 8, 6, 2, 9, 0},
};
const std::vector<std::pair<int64_t, int64_t>> time_windows{
{0, 5}, // depot
{7, 12}, // 1
{10, 15}, // 2
{5, 14}, // 3
{5, 13}, // 4
{0, 5}, // 5
{5, 10}, // 6
{0, 10}, // 7
{5, 10}, // 8
{0, 5}, // 9
{10, 16}, // 10
{10, 15}, // 11
{0, 5}, // 12
{5, 10}, // 13
{7, 12}, // 14
{10, 15}, // 15
{5, 15}, // 16
};
const int num_vehicles = 4;
// [START resources_data]
const int vehicle_load_time = 5;
const int vehicle_unload_time = 5;
const int depot_capacity = 2;
// [END resources_data]
const RoutingIndexManager::NodeIndex depot{0};
};
// [END data_model]
// [START solution_printer]
//! @brief Print the solution.
//! @param[in] data Data of the problem.
//! @param[in] manager Index manager used.
//! @param[in] routing Routing solver used.
//! @param[in] solution Solution found by the solver.
void PrintSolution(const DataModel& data, const RoutingIndexManager& manager,
const RoutingModel& routing, const Assignment& solution) {
const RoutingDimension& time_dimension = routing.GetDimensionOrDie("Time");
int64_t total_time{0};
for (int vehicle_id = 0; vehicle_id < data.num_vehicles; ++vehicle_id) {
int64_t index = routing.Start(vehicle_id);
LOG(INFO) << "Route for vehicle " << vehicle_id << ":";
std::ostringstream route;
while (!routing.IsEnd(index)) {
auto time_var = time_dimension.CumulVar(index);
route << manager.IndexToNode(index).value() << " Time("
<< solution.Min(time_var) << ", " << solution.Max(time_var)
<< ") -> ";
index = solution.Value(routing.NextVar(index));
}
auto time_var = time_dimension.CumulVar(index);
LOG(INFO) << route.str() << manager.IndexToNode(index).value() << " Time("
<< solution.Min(time_var) << ", " << solution.Max(time_var)
<< ")";
LOG(INFO) << "Time of the route: " << solution.Min(time_var) << "min";
total_time += solution.Min(time_var);
}
LOG(INFO) << "Total time of all routes: " << total_time << "min";
LOG(INFO) << "";
LOG(INFO) << "Advanced usage:";
LOG(INFO) << "Problem solved in " << routing.solver()->wall_time() << "ms";
}
// [END solution_printer]
void VrpTimeWindows() {
// Instantiate the data problem.
// [START data]
DataModel data;
// [END data]
// Create Routing Index Manager
// [START index_manager]
RoutingIndexManager manager(data.time_matrix.size(), data.num_vehicles,
data.depot);
// [END index_manager]
// Create Routing Model.
// [START routing_model]
RoutingModel routing(manager);
// [END routing_model]
// Create and register a transit callback.
// [START transit_callback]
const int transit_callback_index = routing.RegisterTransitCallback(
[&data, &manager](const int64_t from_index,
const int64_t to_index) -> int64_t {
// Convert from routing variable Index to time matrix NodeIndex.
const int from_node = manager.IndexToNode(from_index).value();
const int to_node = manager.IndexToNode(to_index).value();
return data.time_matrix[from_node][to_node];
});
// [END transit_callback]
// Define cost of each arc.
// [START arc_cost]
routing.SetArcCostEvaluatorOfAllVehicles(transit_callback_index);
// [END arc_cost]
// Add Time constraint.
// [START time_constraint]
const std::string time = "Time";
routing.AddDimension(transit_callback_index, // transit callback index
int64_t{30}, // allow waiting time
int64_t{30}, // maximum time per vehicle
false, // Don't force start cumul to zero
time);
const RoutingDimension& time_dimension = routing.GetDimensionOrDie(time);
// Add time window constraints for each location except depot.
for (int i = 1; i < data.time_windows.size(); ++i) {
const int64_t index =
manager.NodeToIndex(RoutingIndexManager::NodeIndex(i));
time_dimension.CumulVar(index)->SetRange(data.time_windows[i].first,
data.time_windows[i].second);
}
// Add time window constraints for each vehicle start node.
for (int i = 0; i < data.num_vehicles; ++i) {
const int64_t index = routing.Start(i);
time_dimension.CumulVar(index)->SetRange(data.time_windows[0].first,
data.time_windows[0].second);
}
// [END time_constraint]
// Add resource constraints at the depot.
// [START depot_load_time]
Solver* solver = routing.solver();
std::vector<IntervalVar*> intervals;
for (int i = 0; i < data.num_vehicles; ++i) {
// Add load duration at start of routes
intervals.push_back(solver->MakeFixedDurationIntervalVar(
time_dimension.CumulVar(routing.Start(i)), data.vehicle_load_time,
"depot_interval"));
// Add unload duration at end of routes.
intervals.push_back(solver->MakeFixedDurationIntervalVar(
time_dimension.CumulVar(routing.End(i)), data.vehicle_unload_time,
"depot_interval"));
}
// [END depot_load_time]
// [START depot_capacity]
std::vector<int64_t> depot_usage(intervals.size(), 1);
solver->AddConstraint(solver->MakeCumulative(intervals, depot_usage,
data.depot_capacity, "depot"));
// [END depot_capacity]
// Instantiate route start and end times to produce feasible times.
// [START depot_start_end_times]
for (int i = 0; i < data.num_vehicles; ++i) {
routing.AddVariableMinimizedByFinalizer(
time_dimension.CumulVar(routing.Start(i)));
routing.AddVariableMinimizedByFinalizer(
time_dimension.CumulVar(routing.End(i)));
}
// [END depot_start_end_times]
// Setting first solution heuristic.
// [START parameters]
RoutingSearchParameters searchParameters = DefaultRoutingSearchParameters();
searchParameters.set_first_solution_strategy(
FirstSolutionStrategy::PATH_CHEAPEST_ARC);
// [END parameters]
// Solve the problem.
// [START solve]
const Assignment* solution = routing.SolveWithParameters(searchParameters);
// [END solve]
// Print solution on console.
// [START print_solution]
PrintSolution(data, manager, routing, *solution);
// [END print_solution]
}
} // namespace operations_research
int main(int /*argc*/, char* /*argv*/[]) {
operations_research::VrpTimeWindows();
return EXIT_SUCCESS;
}
// [END program]