note: done using ```sh git grep -l "2010-2024 Google" | xargs sed -i 's/2010-2024 Google/2010-2025 Google/' ```
134 lines
4.3 KiB
C#
134 lines
4.3 KiB
C#
// Copyright 2010-2025 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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// Solve a multiple knapsack problem using a MIP solver.
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// [START import]
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using System;
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using System.Collections.Generic;
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using System.Linq;
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using Google.OrTools.LinearSolver;
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// [END import]
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public class MultipleKnapsackMip
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{
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public static void Main()
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{
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// Instantiate the data problem.
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// [START data]
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double[] Weights = { 48, 30, 42, 36, 36, 48, 42, 42, 36, 24, 30, 30, 42, 36, 36 };
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double[] Values = { 10, 30, 25, 50, 35, 30, 15, 40, 30, 35, 45, 10, 20, 30, 25 };
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int NumItems = Weights.Length;
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int[] allItems = Enumerable.Range(0, NumItems).ToArray();
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double[] BinCapacities = { 100, 100, 100, 100, 100 };
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int NumBins = BinCapacities.Length;
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int[] allBins = Enumerable.Range(0, NumBins).ToArray();
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// [END data]
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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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if (solver is null)
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{
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return;
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}
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// [END solver]
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// Variables.
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// [START variables]
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Variable[,] x = new Variable[NumItems, NumBins];
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foreach (int i in allItems)
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{
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foreach (int b in allBins)
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{
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x[i, b] = solver.MakeBoolVar($"x_{i}_{b}");
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}
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}
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// [END variables]
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// Constraints.
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// [START constraints]
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// Each item is assigned to at most one bin.
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foreach (int i in allItems)
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{
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Constraint constraint = solver.MakeConstraint(0, 1, "");
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foreach (int b in allBins)
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{
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constraint.SetCoefficient(x[i, b], 1);
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}
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}
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// The amount packed in each bin cannot exceed its capacity.
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foreach (int b in allBins)
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{
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Constraint constraint = solver.MakeConstraint(0, BinCapacities[b], "");
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foreach (int i in allItems)
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{
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constraint.SetCoefficient(x[i, b], Weights[i]);
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}
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}
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// [END constraints]
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// Objective.
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// [START objective]
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Objective objective = solver.Objective();
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foreach (int i in allItems)
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{
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foreach (int b in allBins)
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{
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objective.SetCoefficient(x[i, b], 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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{
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Console.WriteLine($"Total packed value: {solver.Objective().Value()}");
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double TotalWeight = 0.0;
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foreach (int b in allBins)
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{
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double BinWeight = 0.0;
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double BinValue = 0.0;
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Console.WriteLine("Bin " + b);
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foreach (int i in allItems)
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{
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if (x[i, b].SolutionValue() == 1)
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{
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Console.WriteLine($"Item {i} weight: {Weights[i]} values: {Values[i]}");
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BinWeight += Weights[i];
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BinValue += 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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}
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else
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{
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Console.WriteLine("The problem does not have an optimal solution!");
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}
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// [END print_solution]
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}
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}
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// [END program]
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