Files
ortools-clone/examples/cpp/min_cost_flow.cc
2024-07-12 13:56:11 +02:00

81 lines
2.8 KiB
C++

// 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.
#include "ortools/graph/min_cost_flow.h"
#include <utility>
#include <vector>
#include "absl/flags/flag.h"
#include "ortools/base/init_google.h"
#include "ortools/base/logging.h"
namespace operations_research {
struct Arc {
std::pair<NodeIndex, NodeIndex> nodes;
FlowQuantity capacity;
FlowQuantity unit_cost;
};
void SolveMinCostFlow() {
// Define supply of each node.
const std::vector<std::pair<NodeIndex, FlowQuantity> > supplies = {
{0, 20}, {1, 0}, {2, 0}, {3, -5}, {4, -15}};
// Define each arc
// Can't use std::tuple<NodeIndex, NodeIndex, FlowQuantity>
// Initialization list is not working on std:tuple cf. N4387
// Arc are stored as {{begin_node, end_node}, capacity}
const std::vector<Arc> arcs = {
{{0, 1}, 15, 4}, {{0, 2}, 8, 4}, {{1, 2}, 20, 2},
{{1, 3}, 4, 2}, {{1, 4}, 10, 6}, {{2, 3}, 15, 1},
{{2, 4}, 4, 3}, {{3, 4}, 20, 2}, {{4, 2}, 5, 3}};
StarGraph graph(supplies.size(), arcs.size());
MinCostFlow min_cost_flow(&graph);
for (const auto& it : arcs) {
ArcIndex arc = graph.AddArc(it.nodes.first, it.nodes.second);
min_cost_flow.SetArcCapacity(arc, it.capacity);
min_cost_flow.SetArcUnitCost(arc, it.unit_cost);
}
for (const auto& it : supplies) {
min_cost_flow.SetNodeSupply(it.first, it.second);
}
LOG(INFO) << "Solving min cost flow with: " << graph.num_nodes()
<< " nodes, and " << graph.num_arcs() << " arcs.";
// Find the maximum flow between node 0 and node 4.
min_cost_flow.Solve();
if (MinCostFlow::OPTIMAL != min_cost_flow.status()) {
LOG(FATAL) << "Solving the max flow is not optimal!";
}
FlowQuantity total_flow_cost = min_cost_flow.GetOptimalCost();
LOG(INFO) << "Minimum cost flow: " << total_flow_cost;
LOG(INFO) << "";
LOG(INFO) << "Arc : Flow / Capacity / Cost";
for (int i = 0; i < arcs.size(); ++i) {
LOG(INFO) << graph.Tail(i) << " -> " << graph.Head(i) << ": "
<< min_cost_flow.Flow(i) << " / " << min_cost_flow.Capacity(i)
<< " / " << min_cost_flow.UnitCost(i);
}
}
} // namespace operations_research
int main(int argc, char** argv) {
absl::SetFlag(&FLAGS_stderrthreshold, 0);
InitGoogle(argv[0], &argc, &argv, true);
operations_research::SolveMinCostFlow();
return EXIT_SUCCESS;
}