// 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/logging.h" #include "ortools/linear_solver/linear_solver.h" #include "ortools/linear_solver/linear_solver.pb.h" namespace operations_research { void RunStiglerDietExample() { // Nutrient minimums. std::vector> nutrients = { {"Calories (kcal)", 3.0}, {"Protein (g)", 70.0}, {"Calcium (g)", 0.8}, {"Iron (mg)", 12.0}, {"Vitamin A (kIU)", 5.0}, {"Thiamine (Vitamin B1) (mg)", 1.8}, {"Riboflavin (Vitamin B2) (mg)", 2.7}, {"Niacin (mg)", 18.0}, {"Ascorbic Acid (Vitamin C) (mg)", 75.0}}; struct Commodity { // Commodity name std::string name; // Unit std::string unit; // 1939 price per unit (cents) double price; // Calories (kcal) // Protein (g) // Calcium (g) // Iron (mg) // Vitamin A (kIU) // Vitamin B1 (mg) // Vitamin B2 (mg) // Niacin (mg) // Vitamin C (mg) std::vector nutrients; }; std::vector data = { {"Wheat Flour (Enriched)", "10 lb.", 36, {44.7, 1411, 2, 365, 0, 55.4, 33.3, 441, 0}}, {"Macaroni", "1 lb.", 14.1, {11.6, 418, 0.7, 54, 0, 3.2, 1.9, 68, 0}}, {"Wheat Cereal (Enriched)", "28 oz.", 24.2, {11.8, 377, 14.4, 175, 0, 14.4, 8.8, 114, 0}}, {"Corn Flakes", "8 oz.", 7.1, {11.4, 252, 0.1, 56, 0, 13.5, 2.3, 68, 0}}, {"Corn Meal", "1 lb.", 4.6, {36.0, 897, 1.7, 99, 30.9, 17.4, 7.9, 106, 0}}, {"Hominy Grits", "24 oz.", 8.5, {28.6, 680, 0.8, 80, 0, 10.6, 1.6, 110, 0}}, {"Rice", "1 lb.", 7.5, {21.2, 460, 0.6, 41, 0, 2, 4.8, 60, 0}}, {"Rolled Oats", "1 lb.", 7.1, {25.3, 907, 5.1, 341, 0, 37.1, 8.9, 64, 0}}, {"White Bread (Enriched)", "1 lb.", 7.9, {15.0, 488, 2.5, 115, 0, 13.8, 8.5, 126, 0}}, {"Whole Wheat Bread", "1 lb.", 9.1, {12.2, 484, 2.7, 125, 0, 13.9, 6.4, 160, 0}}, {"Rye Bread", "1 lb.", 9.1, {12.4, 439, 1.1, 82, 0, 9.9, 3, 66, 0}}, {"Pound Cake", "1 lb.", 24.8, {8.0, 130, 0.4, 31, 18.9, 2.8, 3, 17, 0}}, {"Soda Crackers", "1 lb.", 15.1, {12.5, 288, 0.5, 50, 0, 0, 0, 0, 0}}, {"Milk", "1 qt.", 11, {6.1, 310, 10.5, 18, 16.8, 4, 16, 7, 177}}, {"Evaporated Milk (can)", "14.5 oz.", 6.7, {8.4, 422, 15.1, 9, 26, 3, 23.5, 11, 60}}, {"Butter", "1 lb.", 30.8, {10.8, 9, 0.2, 3, 44.2, 0, 0.2, 2, 0}}, {"Oleomargarine", "1 lb.", 16.1, {20.6, 17, 0.6, 6, 55.8, 0.2, 0, 0, 0}}, {"Eggs", "1 doz.", 32.6, {2.9, 238, 1.0, 52, 18.6, 2.8, 6.5, 1, 0}}, {"Cheese (Cheddar)", "1 lb.", 24.2, {7.4, 448, 16.4, 19, 28.1, 0.8, 10.3, 4, 0}}, {"Cream", "1/2 pt.", 14.1, {3.5, 49, 1.7, 3, 16.9, 0.6, 2.5, 0, 17}}, {"Peanut Butter", "1 lb.", 17.9, {15.7, 661, 1.0, 48, 0, 9.6, 8.1, 471, 0}}, {"Mayonnaise", "1/2 pt.", 16.7, {8.6, 18, 0.2, 8, 2.7, 0.4, 0.5, 0, 0}}, {"Crisco", "1 lb.", 20.3, {20.1, 0, 0, 0, 0, 0, 0, 0, 0}}, {"Lard", "1 lb.", 9.8, {41.7, 0, 0, 0, 0.2, 0, 0.5, 5, 0}}, {"Sirloin Steak", "1 lb.", 39.6, {2.9, 166, 0.1, 34, 0.2, 2.1, 2.9, 69, 0}}, {"Round Steak", "1 lb.", 36.4, {2.2, 214, 0.1, 32, 0.4, 2.5, 2.4, 87, 0}}, {"Rib Roast", "1 lb.", 29.2, {3.4, 213, 0.1, 33, 0, 0, 2, 0, 0}}, {"Chuck Roast", "1 lb.", 22.6, {3.6, 309, 0.2, 46, 0.4, 1, 4, 120, 0}}, {"Plate", "1 lb.", 14.6, {8.5, 404, 0.2, 62, 0, 0.9, 0, 0, 0}}, {"Liver (Beef)", "1 lb.", 26.8, {2.2, 333, 0.2, 139, 169.2, 6.4, 50.8, 316, 525}}, {"Leg of Lamb", "1 lb.", 27.6, {3.1, 245, 0.1, 20, 0, 2.8, 3.9, 86, 0}}, {"Lamb Chops (Rib)", "1 lb.", 36.6, {3.3, 140, 0.1, 15, 0, 1.7, 2.7, 54, 0}}, {"Pork Chops", "1 lb.", 30.7, {3.5, 196, 0.2, 30, 0, 17.4, 2.7, 60, 0}}, {"Pork Loin Roast", "1 lb.", 24.2, {4.4, 249, 0.3, 37, 0, 18.2, 3.6, 79, 0}}, {"Bacon", "1 lb.", 25.6, {10.4, 152, 0.2, 23, 0, 1.8, 1.8, 71, 0}}, {"Ham, smoked", "1 lb.", 27.4, {6.7, 212, 0.2, 31, 0, 9.9, 3.3, 50, 0}}, {"Salt Pork", "1 lb.", 16, {18.8, 164, 0.1, 26, 0, 1.4, 1.8, 0, 0}}, {"Roasting Chicken", "1 lb.", 30.3, {1.8, 184, 0.1, 30, 0.1, 0.9, 1.8, 68, 46}}, {"Veal Cutlets", "1 lb.", 42.3, {1.7, 156, 0.1, 24, 0, 1.4, 2.4, 57, 0}}, {"Salmon, Pink (can)", "16 oz.", 13, {5.8, 705, 6.8, 45, 3.5, 1, 4.9, 209, 0}}, {"Apples", "1 lb.", 4.4, {5.8, 27, 0.5, 36, 7.3, 3.6, 2.7, 5, 544}}, {"Bananas", "1 lb.", 6.1, {4.9, 60, 0.4, 30, 17.4, 2.5, 3.5, 28, 498}}, {"Lemons", "1 doz.", 26, {1.0, 21, 0.5, 14, 0, 0.5, 0, 4, 952}}, {"Oranges", "1 doz.", 30.9, {2.2, 40, 1.1, 18, 11.1, 3.6, 1.3, 10, 1998}}, {"Green Beans", "1 lb.", 7.1, {2.4, 138, 3.7, 80, 69, 4.3, 5.8, 37, 862}}, {"Cabbage", "1 lb.", 3.7, {2.6, 125, 4.0, 36, 7.2, 9, 4.5, 26, 5369}}, {"Carrots", "1 bunch", 4.7, {2.7, 73, 2.8, 43, 188.5, 6.1, 4.3, 89, 608}}, {"Celery", "1 stalk", 7.3, {0.9, 51, 3.0, 23, 0.9, 1.4, 1.4, 9, 313}}, {"Lettuce", "1 head", 8.2, {0.4, 27, 1.1, 22, 112.4, 1.8, 3.4, 11, 449}}, {"Onions", "1 lb.", 3.6, {5.8, 166, 3.8, 59, 16.6, 4.7, 5.9, 21, 1184}}, {"Potatoes", "15 lb.", 34, {14.3, 336, 1.8, 118, 6.7, 29.4, 7.1, 198, 2522}}, {"Spinach", "1 lb.", 8.1, {1.1, 106, 0, 138, 918.4, 5.7, 13.8, 33, 2755}}, {"Sweet Potatoes", "1 lb.", 5.1, {9.6, 138, 2.7, 54, 290.7, 8.4, 5.4, 83, 1912}}, {"Peaches (can)", "No. 2 1/2", 16.8, {3.7, 20, 0.4, 10, 21.5, 0.5, 1, 31, 196}}, {"Pears (can)", "No. 2 1/2", 20.4, {3.0, 8, 0.3, 8, 0.8, 0.8, 0.8, 5, 81}}, {"Pineapple (can)", "No. 2 1/2", 21.3, {2.4, 16, 0.4, 8, 2, 2.8, 0.8, 7, 399}}, {"Asparagus (can)", "No. 2", 27.7, {0.4, 33, 0.3, 12, 16.3, 1.4, 2.1, 17, 272}}, {"Green Beans (can)", "No. 2", 10, {1.0, 54, 2, 65, 53.9, 1.6, 4.3, 32, 431}}, {"Pork and Beans (can)", "16 oz.", 7.1, {7.5, 364, 4, 134, 3.5, 8.3, 7.7, 56, 0}}, {"Corn (can)", "No. 2", 10.4, {5.2, 136, 0.2, 16, 12, 1.6, 2.7, 42, 218}}, {"Peas (can)", "No. 2", 13.8, {2.3, 136, 0.6, 45, 34.9, 4.9, 2.5, 37, 370}}, {"Tomatoes (can)", "No. 2", 8.6, {1.3, 63, 0.7, 38, 53.2, 3.4, 2.5, 36, 1253}}, {"Tomato Soup (can)", "10 1/2 oz.", 7.6, {1.6, 71, 0.6, 43, 57.9, 3.5, 2.4, 67, 862}}, {"Peaches, Dried", "1 lb.", 15.7, {8.5, 87, 1.7, 173, 86.8, 1.2, 4.3, 55, 57}}, {"Prunes, Dried", "1 lb.", 9, {12.8, 99, 2.5, 154, 85.7, 3.9, 4.3, 65, 257}}, {"Raisins, Dried", "15 oz.", 9.4, {13.5, 104, 2.5, 136, 4.5, 6.3, 1.4, 24, 136}}, {"Peas, Dried", "1 lb.", 7.9, {20.0, 1367, 4.2, 345, 2.9, 28.7, 18.4, 162, 0}}, {"Lima Beans, Dried", "1 lb.", 8.9, {17.4, 1055, 3.7, 459, 5.1, 26.9, 38.2, 93, 0}}, {"Navy Beans, Dried", "1 lb.", 5.9, {26.9, 1691, 11.4, 792, 0, 38.4, 24.6, 217, 0}}, {"Coffee", "1 lb.", 22.4, {0, 0, 0, 0, 0, 4, 5.1, 50, 0}}, {"Tea", "1/4 lb.", 17.4, {0, 0, 0, 0, 0, 0, 2.3, 42, 0}}, {"Cocoa", "8 oz.", 8.6, {8.7, 237, 3, 72, 0, 2, 11.9, 40, 0}}, {"Chocolate", "8 oz.", 16.2, {8.0, 77, 1.3, 39, 0, 0.9, 3.4, 14, 0}}, {"Sugar", "10 lb.", 51.7, {34.9, 0, 0, 0, 0, 0, 0, 0, 0}}, {"Corn Syrup", "24 oz.", 13.7, {14.7, 0, 0.5, 74, 0, 0, 0, 5, 0}}, {"Molasses", "18 oz.", 13.6, {9.0, 0, 10.3, 244, 0, 1.9, 7.5, 146, 0}}, {"Strawberry Preserves", "1 lb.", 20.5, {6.4, 11, 0.4, 7, 0.2, 0.2, 0.4, 3, 0}}}; // Instantiate the solver MPSolver solver("StiglerDietExample", MPSolver::GLOP_LINEAR_PROGRAMMING); // Declare an array to hold our nutritional data. std::vector food; // Objective: minimize the sum of (price-normalized) foods. MPObjective* const objective = solver.MutableObjective(); const double infinity = solver.infinity(); for (const Commodity& commodity : data) { food.push_back(solver.MakeNumVar(0.0, infinity, commodity.name)); objective->SetCoefficient(food.back(), 1); } objective->SetMinimization(); // Create the constraints, one per nutrient. std::vector constraints; for (std::size_t i = 0; i < nutrients.size(); ++i) { constraints.push_back( solver.MakeRowConstraint(nutrients[i].second, infinity)); for (std::size_t j = 0; j < data.size(); ++j) { constraints.back()->SetCoefficient(food[j], data[j].nutrients[i]); } } LOG(INFO) << "Number of variables = " << solver.NumVariables(); LOG(INFO) << "Number of constraints = " << solver.NumConstraints(); // Solve! const MPSolver::ResultStatus result_status = solver.Solve(); // Check that the problem has an optimal solution. if (result_status != MPSolver::OPTIMAL) { LOG(INFO) << "The problem does not have an optimal solution!"; if (result_status == MPSolver::FEASIBLE) { LOG(INFO) << "A potentially suboptimal solution was found"; } else { LOG(INFO) << "The solver could not solve the problem."; } return; } std::vector nutrients_result(nutrients.size()); LOG(INFO) << ""; LOG(INFO) << "Annual Foods:"; for (std::size_t i = 0; i < data.size(); ++i) { if (food[i]->solution_value() > 0.0) { LOG(INFO) << data[i].name << ": $" << 365. * food[i]->solution_value(); } for (std::size_t j = 0; j < nutrients.size(); ++j) { nutrients_result[j] += data[i].nutrients[j] * food[i]->solution_value(); } } LOG(INFO) << ""; LOG(INFO) << "Optimal annual price: $" << 365. * objective->Value(); LOG(INFO) << ""; LOG(INFO) << "Nutrients per day:"; for (std::size_t i = 0; i < nutrients.size(); ++i) { LOG(INFO) << nutrients[i].first << ": " << nutrients_result[i] << " (min " << nutrients[i].second << ")"; } LOG(INFO) << ""; LOG(INFO) << "Advanced usage:"; LOG(INFO) << "Problem solved in " << solver.wall_time() << " milliseconds"; LOG(INFO) << "Problem solved in " << solver.iterations() << " iterations"; } } // namespace operations_research int main(int argc, char** argv) { google::InitGoogleLogging(argv[0]); FLAGS_logtostderr = 1; operations_research::RunStiglerDietExample(); return EXIT_SUCCESS; }