// Copyright 2010-2025 Google LLC // 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. // [START program] // Solve a multiple knapsack problem using a MIP solver. // [START import] using System; using System.Collections.Generic; using System.Linq; using Google.OrTools.LinearSolver; // [END import] public class MultipleKnapsackMip { public static void Main() { // Instantiate the data problem. // [START data] double[] Weights = { 48, 30, 42, 36, 36, 48, 42, 42, 36, 24, 30, 30, 42, 36, 36 }; double[] Values = { 10, 30, 25, 50, 35, 30, 15, 40, 30, 35, 45, 10, 20, 30, 25 }; int NumItems = Weights.Length; int[] allItems = Enumerable.Range(0, NumItems).ToArray(); double[] BinCapacities = { 100, 100, 100, 100, 100 }; int NumBins = BinCapacities.Length; int[] allBins = Enumerable.Range(0, NumBins).ToArray(); // [END data] // [START solver] // Create the linear solver with the SCIP backend. Solver solver = Solver.CreateSolver("SCIP"); if (solver is null) { return; } // [END solver] // Variables. // [START variables] Variable[,] x = new Variable[NumItems, NumBins]; foreach (int i in allItems) { foreach (int b in allBins) { x[i, b] = solver.MakeBoolVar($"x_{i}_{b}"); } } // [END variables] // Constraints. // [START constraints] // Each item is assigned to at most one bin. foreach (int i in allItems) { Constraint constraint = solver.MakeConstraint(0, 1, ""); foreach (int b in allBins) { constraint.SetCoefficient(x[i, b], 1); } } // The amount packed in each bin cannot exceed its capacity. foreach (int b in allBins) { Constraint constraint = solver.MakeConstraint(0, BinCapacities[b], ""); foreach (int i in allItems) { constraint.SetCoefficient(x[i, b], Weights[i]); } } // [END constraints] // Objective. // [START objective] Objective objective = solver.Objective(); foreach (int i in allItems) { foreach (int b in allBins) { objective.SetCoefficient(x[i, b], Values[i]); } } objective.SetMaximization(); // [END objective] // [START solve] Solver.ResultStatus resultStatus = solver.Solve(); // [END solve] // [START print_solution] // Check that the problem has an optimal solution. if (resultStatus == Solver.ResultStatus.OPTIMAL) { Console.WriteLine($"Total packed value: {solver.Objective().Value()}"); double TotalWeight = 0.0; foreach (int b in allBins) { double BinWeight = 0.0; double BinValue = 0.0; Console.WriteLine("Bin " + b); foreach (int i in allItems) { if (x[i, b].SolutionValue() == 1) { Console.WriteLine($"Item {i} weight: {Weights[i]} values: {Values[i]}"); BinWeight += Weights[i]; BinValue += Values[i]; } } Console.WriteLine("Packed bin weight: " + BinWeight); Console.WriteLine("Packed bin value: " + BinValue); TotalWeight += BinWeight; } Console.WriteLine("Total packed weight: " + TotalWeight); } else { Console.WriteLine("The problem does not have an optimal solution!"); } // [END print_solution] } } // [END program]