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ortools-clone/examples/cpp/code_samples_sat.cc
2018-05-30 11:29:09 -07:00

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// Copyright 2010-2017 Google
// 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/base/commandlineflags.h"
#include "ortools/base/logging.h"
#include "ortools/base/timer.h"
#include "ortools/sat/cp_model.pb.h"
#include "ortools/sat/cp_model_solver.h"
#include "ortools/sat/cp_model_utils.h"
#include "ortools/sat/model.h"
#include "ortools/sat/sat_parameters.pb.h"
namespace operations_research {
namespace sat {
void SimpleSolve() {
CpModelProto cp_model;
// Trivial model with just one variable and no constraint.
auto new_variable = [&cp_model](int64 lb, int64 ub) {
CHECK_LE(lb, ub);
const int index = cp_model.variables_size();
IntegerVariableProto* const var = cp_model.add_variables();
var->add_domain(lb);
var->add_domain(ub);
return index;
};
const int x = new_variable(0, 3);
// Solving part.
Model model;
LOG(INFO) << CpModelStats(cp_model);
const CpSolverResponse response = SolveCpModel(cp_model, &model);
LOG(INFO) << CpSolverResponseStats(response);
if (response.status() == CpSolverStatus::MODEL_SAT) {
// Get the value of x in the solution.
const int64 value_x = response.solution(x);
LOG(INFO) << "x = " << value_x;
}
}
void SolveWithTimeLimit() {
CpModelProto cp_model;
// Trivial model with just one variable and no constraint.
auto new_variable = [&cp_model](int64 lb, int64 ub) {
CHECK_LE(lb, ub);
const int index = cp_model.variables_size();
IntegerVariableProto* const var = cp_model.add_variables();
var->add_domain(lb);
var->add_domain(ub);
return index;
};
const int x = new_variable(0, 3);
// Solving part.
Model model;
// Sets a time limit of 10 seconds.
SatParameters parameters;
parameters.set_max_time_in_seconds(10.0);
model.Add(NewSatParameters(parameters));
// Solve.
LOG(INFO) << CpModelStats(cp_model);
const CpSolverResponse response = SolveCpModel(cp_model, &model);
LOG(INFO) << CpSolverResponseStats(response);
if (response.status() == CpSolverStatus::MODEL_SAT) {
// Get the value of x in the solution.
const int64 value_x = response.solution(x);
LOG(INFO) << "x = " << value_x;
}
}
void MinimalSatPrintIntermediateSolutions() {
CpModelProto cp_model;
auto new_variable = [&cp_model](int64 lb, int64 ub) {
CHECK_LE(lb, ub);
const int index = cp_model.variables_size();
IntegerVariableProto* const var = cp_model.add_variables();
var->add_domain(lb);
var->add_domain(ub);
return index;
};
auto add_different = [&cp_model](const int left_var, const int right_var) {
LinearConstraintProto* const lin =
cp_model.add_constraints()->mutable_linear();
lin->add_vars(left_var);
lin->add_coeffs(1);
lin->add_vars(right_var);
lin->add_coeffs(-1);
lin->add_domain(kint64min);
lin->add_domain(-1);
lin->add_domain(1);
lin->add_domain(kint64max);
};
auto maximize = [&cp_model](const std::vector<int>& vars,
const std::vector<int64>& coeffs) {
CpObjectiveProto* const obj = cp_model.mutable_objective();
for (const int v : vars) {
obj->add_vars(v);
}
for (const int64 c : coeffs) {
obj->add_coeffs(-c); // Maximize.
}
obj->set_scaling_factor(-1.0); // Maximize.
};
const int kNumVals = 3;
const int x = new_variable(0, kNumVals - 1);
const int y = new_variable(0, kNumVals - 1);
const int z = new_variable(0, kNumVals - 1);
add_different(x, y);
maximize({x, y, z}, {1, 2, 3});
Model model;
int num_solutions = 0;
model.Add(NewFeasibleSolutionObserver([&](const CpSolverResponse& r) {
LOG(INFO) << "Solution " << num_solutions;
LOG(INFO) << " objective value = " << r.objective_value();
LOG(INFO) << " x = " << r.solution(x);
LOG(INFO) << " y = " << r.solution(y);
LOG(INFO) << " z = " << r.solution(z);
num_solutions++;
}));
const CpSolverResponse response = SolveCpModel(cp_model, &model);
LOG(INFO) << "Number of solutions found: " << num_solutions;
}
void MinimalSatSearchForAllSolutions() {
CpModelProto cp_model;
auto new_variable = [&cp_model](int64 lb, int64 ub) {
CHECK_LE(lb, ub);
const int index = cp_model.variables_size();
IntegerVariableProto* const var = cp_model.add_variables();
var->add_domain(lb);
var->add_domain(ub);
return index;
};
auto add_different = [&cp_model](const int left_var, const int right_var) {
LinearConstraintProto* const lin =
cp_model.add_constraints()->mutable_linear();
lin->add_vars(left_var);
lin->add_coeffs(1);
lin->add_vars(right_var);
lin->add_coeffs(-1);
lin->add_domain(kint64min);
lin->add_domain(-1);
lin->add_domain(1);
lin->add_domain(kint64max);
};
const int kNumVals = 3;
const int x = new_variable(0, kNumVals - 1);
const int y = new_variable(0, kNumVals - 1);
const int z = new_variable(0, kNumVals - 1);
add_different(x, y);
// Solving part.
Model model;
// Tell the solver to enumerate all solutions.
SatParameters parameters;
parameters.set_enumerate_all_solutions(true);
model.Add(NewSatParameters(parameters));
int num_solutions = 0;
model.Add(NewFeasibleSolutionObserver([&](const CpSolverResponse& r) {
LOG(INFO) << "Solution " << num_solutions;
LOG(INFO) << " x = " << r.solution(x);
LOG(INFO) << " y = " << r.solution(y);
LOG(INFO) << " z = " << r.solution(z);
num_solutions++;
}));
const CpSolverResponse response = SolveCpModel(cp_model, &model);
LOG(INFO) << "Number of solutions found: " << num_solutions;
}
} // namespace sat
} // namespace operations_research
int main(int argc, char** argv) {
operations_research::sat::SimpleSolve();
operations_research::sat::SolveWithTimeLimit();
operations_research::sat::MinimalSatPrintIntermediateSolutions();
operations_research::sat::MinimalSatSearchForAllSolutions();
return EXIT_SUCCESS;
}