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ortools-clone/documentation/tutorials/cplusplus/chap5/nqueens6.cc
nikolaj.van.omme@gmail.com 2b26c1233c Doc automatic update
2014-12-17 14:16:26 +00:00

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// Copyright 2011-2014 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.
//
//
// n-Queens Problem
//
// Use of customized search strategies with the help of customized DecisionBuilder.
#include "base/join.h"
#include "base/commandlineflags.h"
#include "base/logging.h"
#include "base/stringprintf.h"
#include "constraint_solver/constraint_solver.h"
#include "nqueens_utilities.h"
DEFINE_int32(size, 4, "Size of the problem.");
DEFINE_int64(time_limit, 0, "Time limit on the solving"
" process. 0 means no time limit.");
DECLARE_bool(use_symmetry);
namespace operations_research {
namespace {
class NQueensDecisionBuilder : public DecisionBuilder {
public:
NQueensDecisionBuilder(const int size, const std::vector<IntVar*>& vars): size_(size), vars_(vars), middle_var_index_((size-1)/2) {
CHECK_EQ(vars_.size(), size_);
}
~NQueensDecisionBuilder() {}
// Select a variable with the smallest domain starting from the center
IntVar* SelectVar(Solver* const s) {
IntVar* selected_var = nullptr;
int64 id = -1;
int64 min_domain_size = kint64max;
// go left on the chessboard
for (int64 i = middle_var_index_; i >= 0; --i) {
IntVar* const var = vars_[i];
if (!var->Bound() && var->Size() < min_domain_size) {
selected_var = var;
id = i;
min_domain_size = var->Size();
}
}
// go right on the chessboard
for (int64 i = middle_var_index_ + 1; i < size_; ++i) {
IntVar* const var = vars_[i];
if (!var->Bound() && var->Size() < min_domain_size) {
selected_var = var;
id = i;
min_domain_size = var->Size();
}
}
if (id == -1) {
return nullptr;
} else {
return selected_var;
}
}
int64 count_number_of_row_incompatibilities(int64 row) {
int64 count = 0;
for (int64 i = 0; i < size_; ++i) {
if (!vars_[i]->Contains(row)) {
++count;
}
}
return count;
}
// For a given variable, take the row with the least compatible columns, starting from the center
int64 SelectValue(const IntVar* const v) {
CHECK_GE(v->Size(), 2);
int64 max_incompatible_columns = -1;
int64 selected_value = -1;
const int64 vmin = v->Min();
const int64 vmax = v->Max();
const int64 v_middle = (vmin + vmax) / 2;
for (int64 i = v_middle; i >= vmin; --i) {
if (v->Contains(i)) {
const int64 nbr_of_incompatibilities = count_number_of_row_incompatibilities(i);
if (nbr_of_incompatibilities > max_incompatible_columns) {
max_incompatible_columns = nbr_of_incompatibilities;
selected_value = i;
}
}
}
for (int64 i = v_middle; i <= vmin; ++i) {
if (v->Contains(i)) {
const int64 nbr_of_incompatibilities = count_number_of_row_incompatibilities(i);
if (nbr_of_incompatibilities > max_incompatible_columns) {
max_incompatible_columns = nbr_of_incompatibilities;
selected_value = i;
}
}
}
CHECK_NE(selected_value, -1);
return selected_value;
}
Decision* Next(Solver* const s) {
IntVar* const var = SelectVar(s);
if (nullptr != var) {
const int64 value = SelectValue(var);
return s->MakeAssignVariableValue(var, value);
}
return nullptr;
}
private:
const int size_;
const std::vector<IntVar*> vars_;
const int middle_var_index_;
}; // class NQueensDecisionBuilder
} // namespace
DecisionBuilder* MakeNQueensDecisionBuilder(Solver* const s,
const int size,
const std::vector<IntVar*>& vars) {
return s->RevAlloc(new NQueensDecisionBuilder(size, vars));
}
void NQueens(int size) {
CHECK_GE(size, 1);
Solver s("nqueens");
// model
std::vector<IntVar*> queens;
for (int i = 0; i < size; ++i) {
queens.push_back(s.MakeIntVar(0, size - 1, StringPrintf("x%04d", i)));
}
s.AddConstraint(s.MakeAllDifferent(queens));
std::vector<IntVar*> vars(size);
for (int i = 0; i < size; ++i) {
vars[i] = s.MakeSum(queens[i], i)->Var();
}
s.AddConstraint(s.MakeAllDifferent(vars));
for (int i = 0; i < size; ++i) {
vars[i] = s.MakeSum(queens[i], -i)->Var();
}
s.AddConstraint(s.MakeAllDifferent(vars));
vector<SearchMonitor*> monitors;
SolutionCollector* const solution_counter = s.MakeAllSolutionCollector(NULL);
monitors.push_back(solution_counter);
SolutionCollector* const collector = s.MakeFirstSolutionCollector();
collector->Add(queens);
monitors.push_back(collector);
DecisionBuilder* const db = MakeNQueensDecisionBuilder(&s, size, queens);
s.Solve(db, monitors); // go!
CheckNumberOfSolutions(size, solution_counter->solution_count());
const int num_solutions = solution_counter->solution_count();
const int64 time = s.wall_time();
std::cout << "============================" << std::endl;
std::cout << "size: " << size << std::endl;
std::cout << "The Solve method took "
<< time/1000.0 << " seconds" << std::endl;
std::cout << "Number of solutions: " << num_solutions << std::endl;
std::cout << "Failures: " << s.failures() << std::endl;
std::cout << "Branches: " << s.branches() << std::endl;
std::cout << "Backtracks: " << s.fail_stamp() << std::endl;
std::cout << "Stamps: " << s.stamp() << std::endl;
PrintFirstSolution(size, queens, collector);
}
} // namespace operations_research
int main(int argc, char **argv) {
google::ParseCommandLineFlags(&argc, &argv, true);
if (FLAGS_use_symmetry) {
LOG(FATAL) << "Symmetries not yet implemented!";
}
operations_research::NQueens(FLAGS_size);
return 0;
}