KnapsackSolverTests.cs

Go to the documentation of this file.

// Copyright 2010-2024 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.
 
using System;
using Xunit;
using Google.OrTools.Algorithms;
 
namespace Google.OrTools.Tests
{
public class KnapsakSolverTest
{
    private long RunKnapsackSolver(KnapsackSolver.SolverType solverType, long[] profits, long[,] weights,
                                   long[] capacities)
    {
        KnapsackSolver solver = new KnapsackSolver(solverType, "test");
        Assert.NotNull(solver);
        solver.Init(profits, weights, capacities);
 
        return solver.Solve();
    }
 
    private void SolveKnapsackProblem(long[] profits, long[,] weights, long[] capacities, long optimalProfit)
    {
        int maxNumberOfItemsForBruteForce = 20;
        int maxNumberOfItemsForDivideAndConquer = 32;
        int maxNumberOfItemsFor64ItemsSolver = 64;
 
        {
            long profit = RunKnapsackSolver(KnapsackSolver.SolverType.KNAPSACK_MULTIDIMENSION_BRANCH_AND_BOUND_SOLVER,
                                            profits, weights, capacities);
            Assert.Equal(optimalProfit, profit);
        }
 
        // Other solvers don't support multidimension models.
        if (weights.Length > 1)
        {
            return;
        }
 
        int numOfItems = profits.Length;
 
        if (numOfItems <= maxNumberOfItemsForBruteForce)
        {
            long profit =
                RunKnapsackSolver(KnapsackSolver.SolverType.KNAPSACK_BRUTE_FORCE_SOLVER, profits, weights, capacities);
            Assert.Equal(optimalProfit, profit);
        }
 
        if (numOfItems <= maxNumberOfItemsForDivideAndConquer)
        {
            long profit = RunKnapsackSolver(KnapsackSolver.SolverType.KNAPSACK_DIVIDE_AND_CONQUER_SOLVER, profits,
                                            weights, capacities);
            Assert.Equal(optimalProfit, profit);
        }
 
        {
            long profit = RunKnapsackSolver(KnapsackSolver.SolverType.KNAPSACK_DYNAMIC_PROGRAMMING_SOLVER, profits,
                                            weights, capacities);
            Assert.Equal(optimalProfit, profit);
        }
 
        if (numOfItems <= maxNumberOfItemsFor64ItemsSolver)
        {
            long profit =
                RunKnapsackSolver(KnapsackSolver.SolverType.KNAPSACK_64ITEMS_SOLVER, profits, weights, capacities);
            Assert.Equal(optimalProfit, profit);
        }
    }
 
    [Fact]
    public void SolveOneDimension()
    {
        long[] profits = { 1, 2, 3, 4, 5, 6, 7, 8, 9 };
        long[,] weights = { { 1, 2, 3, 4, 5, 6, 7, 8, 9 } };
        long[] capacities = { 34 };
        long optimalProfit = 34;
        SolveKnapsackProblem(profits, weights, capacities, optimalProfit);
    }
 
    [Fact]
    public void SolveTwoDimensions()
    {
        long[] profits = { 1, 2, 3, 4, 5, 6, 7, 8, 9 };
        long[,] weights = { { 1, 2, 3, 4, 5, 6, 7, 8, 9 }, { 1, 1, 1, 1, 1, 1, 1, 1, 1 } };
        long[] capacities = { 34, 4 };
        long optimalProfit = 30;
        SolveKnapsackProblem(profits, weights, capacities, optimalProfit);
    }
 
    [Fact]
    public void SolveBigOneDimension()
    {
        long[] profits = { 360, 83, 59, 130, 431, 67,  230, 52,  93,  125, 670, 892, 600, 38,  48,  147, 78,
                           256, 63, 17, 120, 164, 432, 35,  92,  110, 22,  42,  50,  323, 514, 28,  87,  73,
                           78,  15, 26, 78,  210, 36,  85,  189, 274, 43,  33,  10,  19,  389, 276, 312 };
        long[,] weights = { { 7,  0,  30, 22, 80, 94, 11, 81, 70, 64, 59, 18, 0,  36, 3,  8,  15,
                              42, 9,  0,  42, 47, 52, 32, 26, 48, 55, 6,  29, 84, 2,  4,  18, 56,
                              7,  29, 93, 44, 71, 3,  86, 66, 31, 65, 0,  79, 20, 65, 52, 13 } };
        long[] capacities = { 850 };
        long optimalProfit = 7534;
        SolveKnapsackProblem(profits, weights, capacities, optimalProfit);
    }
}
} // namespace Google.OrTools.Tests