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ortools-clone/ortools/graph/samples/balance_min_flow.cc
2025-11-05 12:05:41 +01:00

116 lines
4.1 KiB
C++

// Copyright 2010-2025 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 <cstddef>
#include <cstdint>
#include <cstdlib>
#include <vector>
#include "absl/base/log_severity.h"
#include "absl/log/globals.h"
#include "absl/log/log.h"
#include "ortools/base/init_google.h"
#include "ortools/graph/min_cost_flow.h"
// [END import]
namespace operations_research {
// MinCostFlow simple interface example.
void BalanceMinFlow() {
// [START solver]
// Instantiate a SimpleMinCostFlow solver.
SimpleMinCostFlow min_cost_flow;
// [END solver]
// [START data]
// Define the directed graph for the flow.
const std::vector<int64_t> team_A = {1, 3, 5};
const std::vector<int64_t> team_B = {2, 4, 6};
const std::vector<int64_t> start_nodes = {
0, 0, 11, 11, 11, 12, 12, 12, 1, 1, 1, 1, 2, 2, 2, 2, 3, 3,
3, 3, 4, 4, 4, 4, 5, 5, 5, 5, 6, 6, 6, 6, 7, 8, 9, 10};
const std::vector<int64_t> end_nodes = {
11, 12, 1, 3, 5, 2, 4, 6, 7, 8, 9, 10, 7, 8, 9, 10, 7, 8,
9, 10, 7, 8, 9, 10, 7, 8, 9, 10, 7, 8, 9, 10, 13, 13, 13, 13};
const std::vector<int64_t> capacities = {2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
const std::vector<int64_t> unit_costs = {
0, 0, 0, 0, 0, 0, 0, 0, 90, 76, 75, 70,
35, 85, 55, 65, 125, 95, 90, 105, 45, 110, 95, 115,
60, 105, 80, 75, 45, 65, 110, 95, 0, 0, 0, 0};
const int64_t source = 0;
const int64_t sink = 13;
const int64_t tasks = 4;
// Define an array of supplies at each node.
const std::vector<int64_t> supplies = {tasks, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, -tasks};
// [END data]
// [START constraints]
// Add each arc.
for (int i = 0; i < start_nodes.size(); ++i) {
int arc = min_cost_flow.AddArcWithCapacityAndUnitCost(
start_nodes[i], end_nodes[i], capacities[i], unit_costs[i]);
if (arc != i) LOG(FATAL) << "Internal error";
}
// Add node supplies.
for (int i = 0; i < supplies.size(); ++i) {
min_cost_flow.SetNodeSupply(i, supplies[i]);
}
// [END constraints]
// [START solve]
// Find the min cost flow.
int status = min_cost_flow.Solve();
// [END solve]
// [START print_solution]
if (status == SimpleMinCostFlow::OPTIMAL) {
LOG(INFO) << "Total cost: " << min_cost_flow.OptimalCost();
LOG(INFO) << "";
for (std::size_t i = 0; i < min_cost_flow.NumArcs(); ++i) {
// Can ignore arcs leading out of source or intermediate nodes, or into
// sink.
if (min_cost_flow.Tail(i) != source && min_cost_flow.Tail(i) != 11 &&
min_cost_flow.Tail(i) != 12 && min_cost_flow.Head(i) != sink) {
// Arcs in the solution have a flow value of 1. Their start and end
// nodes give an assignment of worker to task.
if (min_cost_flow.Flow(i) > 0) {
LOG(INFO) << "Worker " << min_cost_flow.Tail(i)
<< " assigned to task " << min_cost_flow.Head(i)
<< " Cost: " << min_cost_flow.UnitCost(i);
}
}
}
} else {
LOG(INFO) << "Solving the min cost flow problem failed.";
LOG(INFO) << "Solver status: " << status;
}
// [END print_solution]
}
} // namespace operations_research
int main(int argc, char* argv[]) {
InitGoogle(argv[0], &argc, &argv, true);
absl::SetStderrThreshold(absl::LogSeverityAtLeast::kInfo);
operations_research::BalanceMinFlow();
return EXIT_SUCCESS;
}
// [END program]