112 lines
3.7 KiB
C#
112 lines
3.7 KiB
C#
// Copyright 2010-2018 Google LLC
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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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// [START program]
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// [START import]
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using System;
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using Google.OrTools.LinearSolver;
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// [END import]
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// [START program_part1]
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public class MultipleKnapsackMip {
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// [START data_model]
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class DataModel {
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public static double[] Weights = { 48, 30, 42, 36, 36, 48, 42, 42, 36, 24, 30, 30, 42, 36, 36 };
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public static double[] Values = { 10, 30, 25, 50, 35, 30, 15, 40, 30, 35, 45, 10, 20, 30, 25 };
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public double[] BinCapacities = { 100, 100, 100, 100, 100 };
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public int NumItems = Weights.Length;
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public int NumBins = 5;
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}
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// [END data_model]
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public static void Main() {
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// [START data]
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DataModel data = new DataModel();
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// [END data]
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// [END program_part1]
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// [START solver]
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// Create the linear solver with the SCIP backend.
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Solver solver = Solver.CreateSolver("SCIP");
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// [END solver]
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// [START program_part2]
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// [START variables]
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Variable[,] x = new Variable[data.NumItems, data.NumBins];
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for (int i = 0; i < data.NumItems; i++) {
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for (int j = 0; j < data.NumBins; j++) {
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x[i, j] = solver.MakeIntVar(0, 1, $"x_{i}_{j}");
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}
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}
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// [END variables]
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// [START constraints]
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for (int i = 0; i < data.NumItems; ++i) {
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Constraint constraint = solver.MakeConstraint(0, 1, "");
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for (int j = 0; j < data.NumBins; ++j) {
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constraint.SetCoefficient(x[i, j], 1);
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}
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}
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for (int j = 0; j < data.NumBins; ++j) {
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Constraint constraint = solver.MakeConstraint(0, data.BinCapacities[j], "");
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for (int i = 0; i < data.NumItems; ++i) {
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constraint.SetCoefficient(x[i, j], DataModel.Weights[i]);
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}
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}
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// [END constraints]
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// [START objective]
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Objective objective = solver.Objective();
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for (int i = 0; i < data.NumItems; ++i) {
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for (int j = 0; j < data.NumBins; ++j) {
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objective.SetCoefficient(x[i, j], DataModel.Values[i]);
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}
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}
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objective.SetMaximization();
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// [END objective]
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// [START solve]
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Solver.ResultStatus resultStatus = solver.Solve();
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// [END solve]
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// [START print_solution]
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// Check that the problem has an optimal solution.
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if (resultStatus != Solver.ResultStatus.OPTIMAL) {
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Console.WriteLine("The problem does not have an optimal solution!");
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return;
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}
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Console.WriteLine("Total packed value: " + solver.Objective().Value());
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double TotalWeight = 0.0;
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for (int j = 0; j < data.NumBins; ++j) {
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double BinWeight = 0.0;
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double BinValue = 0.0;
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Console.WriteLine("Bin " + j);
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for (int i = 0; i < data.NumItems; ++i) {
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if (x[i, j].SolutionValue() == 1) {
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Console.WriteLine(
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$"Item {i} weight: {DataModel.Weights[i]} values: {DataModel.Values[i]}");
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BinWeight += DataModel.Weights[i];
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BinValue += DataModel.Values[i];
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}
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}
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Console.WriteLine("Packed bin weight: " + BinWeight);
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Console.WriteLine("Packed bin value: " + BinValue);
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TotalWeight += BinWeight;
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}
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Console.WriteLine("Total packed weight: " + TotalWeight);
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// [END print_solution]
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}
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}
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// [END program_part2]
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// [END program]
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