213 lines
6.3 KiB
C++
213 lines
6.3 KiB
C++
// Copyright 2010-2017 Google
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "ortools/base/commandlineflags.h"
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#include "ortools/base/logging.h"
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#include "ortools/base/timer.h"
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#include "ortools/sat/cp_model.pb.h"
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#include "ortools/sat/cp_model_solver.h"
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#include "ortools/sat/cp_model_utils.h"
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#include "ortools/sat/model.h"
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#include "ortools/sat/sat_parameters.pb.h"
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namespace operations_research {
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namespace sat {
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void SimpleSolve() {
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CpModelProto cp_model;
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// Trivial model with just one variable and no constraint.
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auto new_variable = [&cp_model](int64 lb, int64 ub) {
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CHECK_LE(lb, ub);
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const int index = cp_model.variables_size();
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IntegerVariableProto* const var = cp_model.add_variables();
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var->add_domain(lb);
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var->add_domain(ub);
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return index;
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};
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const int x = new_variable(0, 3);
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// Solving part.
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Model model;
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LOG(INFO) << CpModelStats(cp_model);
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const CpSolverResponse response = SolveCpModel(cp_model, &model);
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LOG(INFO) << CpSolverResponseStats(response);
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if (response.status() == CpSolverStatus::MODEL_SAT) {
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// Get the value of x in the solution.
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const int64 value_x = response.solution(x);
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LOG(INFO) << "x = " << value_x;
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}
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}
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void SolveWithTimeLimit() {
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CpModelProto cp_model;
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// Trivial model with just one variable and no constraint.
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auto new_variable = [&cp_model](int64 lb, int64 ub) {
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CHECK_LE(lb, ub);
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const int index = cp_model.variables_size();
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IntegerVariableProto* const var = cp_model.add_variables();
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var->add_domain(lb);
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var->add_domain(ub);
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return index;
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};
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const int x = new_variable(0, 3);
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// Solving part.
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Model model;
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// Sets a time limit of 10 seconds.
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SatParameters parameters;
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parameters.set_max_time_in_seconds(10.0);
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model.Add(NewSatParameters(parameters));
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// Solve.
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LOG(INFO) << CpModelStats(cp_model);
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const CpSolverResponse response = SolveCpModel(cp_model, &model);
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LOG(INFO) << CpSolverResponseStats(response);
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if (response.status() == CpSolverStatus::MODEL_SAT) {
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// Get the value of x in the solution.
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const int64 value_x = response.solution(x);
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LOG(INFO) << "x = " << value_x;
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}
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}
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void MinimalSatPrintIntermediateSolutions() {
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CpModelProto cp_model;
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auto new_variable = [&cp_model](int64 lb, int64 ub) {
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CHECK_LE(lb, ub);
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const int index = cp_model.variables_size();
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IntegerVariableProto* const var = cp_model.add_variables();
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var->add_domain(lb);
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var->add_domain(ub);
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return index;
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};
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auto add_different = [&cp_model](const int left_var, const int right_var) {
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LinearConstraintProto* const lin =
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cp_model.add_constraints()->mutable_linear();
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lin->add_vars(left_var);
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lin->add_coeffs(1);
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lin->add_vars(right_var);
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lin->add_coeffs(-1);
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lin->add_domain(kint64min);
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lin->add_domain(-1);
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lin->add_domain(1);
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lin->add_domain(kint64max);
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};
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auto maximize = [&cp_model](const std::vector<int>& vars,
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const std::vector<int64>& coeffs) {
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CpObjectiveProto* const obj = cp_model.mutable_objective();
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for (const int v : vars) {
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obj->add_vars(v);
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}
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for (const int64 c : coeffs) {
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obj->add_coeffs(-c); // Maximize.
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}
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obj->set_scaling_factor(-1.0); // Maximize.
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};
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const int kNumVals = 3;
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const int x = new_variable(0, kNumVals - 1);
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const int y = new_variable(0, kNumVals - 1);
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const int z = new_variable(0, kNumVals - 1);
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add_different(x, y);
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maximize({x, y, z}, {1, 2, 3});
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Model model;
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int num_solutions = 0;
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model.Add(NewFeasibleSolutionObserver([&](const CpSolverResponse& r) {
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LOG(INFO) << "Solution " << num_solutions;
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LOG(INFO) << " objective value = " << r.objective_value();
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LOG(INFO) << " x = " << r.solution(x);
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LOG(INFO) << " y = " << r.solution(y);
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LOG(INFO) << " z = " << r.solution(z);
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num_solutions++;
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}));
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const CpSolverResponse response = SolveCpModel(cp_model, &model);
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LOG(INFO) << "Number of solutions found: " << num_solutions;
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}
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void MinimalSatSearchForAllSolutions() {
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CpModelProto cp_model;
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auto new_variable = [&cp_model](int64 lb, int64 ub) {
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CHECK_LE(lb, ub);
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const int index = cp_model.variables_size();
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IntegerVariableProto* const var = cp_model.add_variables();
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var->add_domain(lb);
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var->add_domain(ub);
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return index;
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};
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auto add_different = [&cp_model](const int left_var, const int right_var) {
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LinearConstraintProto* const lin =
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cp_model.add_constraints()->mutable_linear();
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lin->add_vars(left_var);
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lin->add_coeffs(1);
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lin->add_vars(right_var);
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lin->add_coeffs(-1);
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lin->add_domain(kint64min);
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lin->add_domain(-1);
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lin->add_domain(1);
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lin->add_domain(kint64max);
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};
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const int kNumVals = 3;
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const int x = new_variable(0, kNumVals - 1);
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const int y = new_variable(0, kNumVals - 1);
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const int z = new_variable(0, kNumVals - 1);
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add_different(x, y);
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// Solving part.
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Model model;
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// Tell the solver to enumerate all solutions.
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SatParameters parameters;
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parameters.set_enumerate_all_solutions(true);
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model.Add(NewSatParameters(parameters));
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int num_solutions = 0;
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model.Add(NewFeasibleSolutionObserver([&](const CpSolverResponse& r) {
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LOG(INFO) << "Solution " << num_solutions;
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LOG(INFO) << " x = " << r.solution(x);
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LOG(INFO) << " y = " << r.solution(y);
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LOG(INFO) << " z = " << r.solution(z);
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num_solutions++;
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}));
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const CpSolverResponse response = SolveCpModel(cp_model, &model);
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LOG(INFO) << "Number of solutions found: " << num_solutions;
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}
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} // namespace sat
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} // namespace operations_research
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int main(int argc, char** argv) {
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operations_research::sat::SimpleSolve();
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operations_research::sat::SolveWithTimeLimit();
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operations_research::sat::MinimalSatPrintIntermediateSolutions();
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operations_research::sat::MinimalSatSearchForAllSolutions();
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return EXIT_SUCCESS;
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}
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