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assignment_teams_sat.cc
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assignment_teams_sat.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]
// Solve a simple assignment problem.
// [START import]
#include <stdlib.h>
#include <numeric>
#include <vector>
#include "absl/strings/str_format.h"
#include "ortools/base/logging.h"
#include "ortools/sat/cp_model.h"
#include "ortools/sat/cp_model.pb.h"
#include "ortools/sat/cp_model_solver.h"
// [END import]
namespace operations_research {
namespace sat {
void AssignmentTeamsSat() {
// Data
// [START data]
const std::vector<std::vector<int>> costs = {{
{{90, 76, 75, 70}},
{{35, 85, 55, 65}},
{{125, 95, 90, 105}},
{{45, 110, 95, 115}},
{{60, 105, 80, 75}},
{{45, 65, 110, 95}},
}};
const int num_workers = static_cast<int>(costs.size());
std::vector<int> all_workers(num_workers);
std::iota(all_workers.begin(), all_workers.end(), 0);
const int num_tasks = static_cast<int>(costs[0].size());
std::vector<int> all_tasks(num_tasks);
std::iota(all_tasks.begin(), all_tasks.end(), 0);
const std::vector<int> team1 = {{0, 2, 4}};
const std::vector<int> team2 = {{1, 3, 5}};
// Maximum total of tasks for any team
const int team_max = 2;
// [END data]
// Model
// [START model]
CpModelBuilder cp_model;
// [END model]
// Variables
// [START variables]
// x[i][j] is an array of Boolean variables. x[i][j] is true
// if worker i is assigned to task j.
std::vector<std::vector<BoolVar>> x(num_workers,
std::vector<BoolVar>(num_tasks));
for (int worker : all_workers) {
for (int task : all_tasks) {
x[worker][task] = cp_model.NewBoolVar().WithName(
absl::StrFormat("x[%d,%d]", worker, task));
}
}
// [END variables]
// Constraints
// [START constraints]
// Each worker is assigned to at most one task.
for (int worker : all_workers) {
cp_model.AddAtMostOne(x[worker]);
}
// Each task is assigned to exactly one worker.
for (int task : all_tasks) {
std::vector<BoolVar> tasks;
for (int worker : all_workers) {
tasks.push_back(x[worker][task]);
}
cp_model.AddExactlyOne(tasks);
}
// Each team takes at most two tasks.
LinearExpr team1_tasks;
for (int worker : team1) {
for (int task : all_tasks) {
team1_tasks += x[worker][task];
}
}
cp_model.AddLessOrEqual(team1_tasks, team_max);
LinearExpr team2_tasks;
for (int worker : team2) {
for (int task : all_tasks) {
team2_tasks += x[worker][task];
}
}
cp_model.AddLessOrEqual(team2_tasks, team_max);
// [END constraints]
// Objective
// [START objective]
LinearExpr total_cost;
for (int worker : all_workers) {
for (int task : all_tasks) {
total_cost += x[worker][task] * costs[worker][task];
}
}
cp_model.Minimize(total_cost);
// [END objective]
// Solve
// [START solve]
const CpSolverResponse response = Solve(cp_model.Build());
// [END solve]
// Print solution.
// [START print_solution]
if (response.status() == CpSolverStatus::INFEASIBLE) {
LOG(FATAL) << "No solution found.";
}
LOG(INFO) << "Total cost: " << response.objective_value();
LOG(INFO);
for (int worker : all_workers) {
for (int task : all_tasks) {
if (SolutionBooleanValue(response, x[worker][task])) {
LOG(INFO) << "Worker " << worker << " assigned to task " << task
<< ". Cost: " << costs[worker][task];
}
}
}
// [END print_solution]
}
} // namespace sat
} // namespace operations_research
int main(int argc, char** argv) {
operations_research::sat::AssignmentTeamsSat();
return EXIT_SUCCESS;
}
// [END program]