[3070] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[5445] | 3 | * Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[3070] | 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using System;
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| 23 | using System.Collections.Generic;
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| 24 | using System.Drawing;
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| 25 | using System.Linq;
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| 26 | using HeuristicLab.Common;
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| 27 | using HeuristicLab.Core;
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| 28 | using HeuristicLab.Data;
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| 29 | using HeuristicLab.Encodings.BinaryVectorEncoding;
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| 30 | using HeuristicLab.Optimization;
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| 31 | using HeuristicLab.Parameters;
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| 32 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 33 | using HeuristicLab.PluginInfrastructure;
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| 34 |
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| 35 | namespace HeuristicLab.Problems.Knapsack {
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[4513] | 36 | [Item("Knapsack Problem", "Represents a Knapsack problem.")]
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[3070] | 37 | [Creatable("Problems")]
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| 38 | [StorableClass]
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[5809] | 39 | public sealed class KnapsackProblem : ParameterizedNamedItem, ISingleObjectiveHeuristicOptimizationProblem, IStorableContent {
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[4419] | 40 | public string Filename { get; set; }
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| 41 |
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[3070] | 42 | public override Image ItemImage {
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[5287] | 43 | get { return HeuristicLab.Common.Resources.VSImageLibrary.Type; }
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[3070] | 44 | }
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| 45 |
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| 46 | #region Parameter Properties
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| 47 | public ValueParameter<BoolValue> MaximizationParameter {
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| 48 | get { return (ValueParameter<BoolValue>)Parameters["Maximization"]; }
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| 49 | }
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[5809] | 50 | IParameter ISingleObjectiveHeuristicOptimizationProblem.MaximizationParameter {
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[3070] | 51 | get { return MaximizationParameter; }
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| 52 | }
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| 53 | public ValueParameter<IntValue> KnapsackCapacityParameter {
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| 54 | get { return (ValueParameter<IntValue>)Parameters["KnapsackCapacity"]; }
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| 55 | }
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| 56 | public ValueParameter<IntArray> WeightsParameter {
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| 57 | get { return (ValueParameter<IntArray>)Parameters["Weights"]; }
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| 58 | }
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| 59 | public ValueParameter<IntArray> ValuesParameter {
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| 60 | get { return (ValueParameter<IntArray>)Parameters["Values"]; }
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| 61 | }
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[3109] | 62 | public ValueParameter<DoubleValue> PenaltyParameter {
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| 63 | get { return (ValueParameter<DoubleValue>)Parameters["Penalty"]; }
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| 64 | }
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[3070] | 65 | public ValueParameter<IBinaryVectorCreator> SolutionCreatorParameter {
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| 66 | get { return (ValueParameter<IBinaryVectorCreator>)Parameters["SolutionCreator"]; }
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| 67 | }
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[5809] | 68 | IParameter IHeuristicOptimizationProblem.SolutionCreatorParameter {
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[3070] | 69 | get { return SolutionCreatorParameter; }
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| 70 | }
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| 71 | public ValueParameter<IKnapsackEvaluator> EvaluatorParameter {
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| 72 | get { return (ValueParameter<IKnapsackEvaluator>)Parameters["Evaluator"]; }
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| 73 | }
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[5809] | 74 | IParameter IHeuristicOptimizationProblem.EvaluatorParameter {
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[3070] | 75 | get { return EvaluatorParameter; }
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| 76 | }
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[3071] | 77 | public OptionalValueParameter<DoubleValue> BestKnownQualityParameter {
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| 78 | get { return (OptionalValueParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
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| 79 | }
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[5809] | 80 | IParameter ISingleObjectiveHeuristicOptimizationProblem.BestKnownQualityParameter {
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[3080] | 81 | get { return BestKnownQualityParameter; }
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| 82 | }
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[3787] | 83 | public OptionalValueParameter<BinaryVector> BestKnownSolutionParameter {
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| 84 | get { return (OptionalValueParameter<BinaryVector>)Parameters["BestKnownSolution"]; }
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| 85 | }
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[3070] | 86 | #endregion
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| 87 |
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| 88 | #region Properties
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[3109] | 89 | public IntValue KnapsackCapacity {
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| 90 | get { return KnapsackCapacityParameter.Value; }
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| 91 | set { KnapsackCapacityParameter.Value = value; }
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| 92 | }
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| 93 | public IntArray Weights {
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| 94 | get { return WeightsParameter.Value; }
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| 95 | set { WeightsParameter.Value = value; }
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| 96 | }
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| 97 | public IntArray Values {
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| 98 | get { return ValuesParameter.Value; }
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| 99 | set { ValuesParameter.Value = value; }
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| 100 | }
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| 101 | public DoubleValue Penalty {
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| 102 | get { return PenaltyParameter.Value; }
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| 103 | set { PenaltyParameter.Value = value; }
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| 104 | }
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[3070] | 105 | public IBinaryVectorCreator SolutionCreator {
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| 106 | get { return SolutionCreatorParameter.Value; }
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| 107 | set { SolutionCreatorParameter.Value = value; }
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| 108 | }
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[5809] | 109 | ISolutionCreator IHeuristicOptimizationProblem.SolutionCreator {
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[3070] | 110 | get { return SolutionCreatorParameter.Value; }
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| 111 | }
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| 112 | public IKnapsackEvaluator Evaluator {
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| 113 | get { return EvaluatorParameter.Value; }
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| 114 | set { EvaluatorParameter.Value = value; }
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| 115 | }
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[5809] | 116 | ISingleObjectiveEvaluator ISingleObjectiveHeuristicOptimizationProblem.Evaluator {
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[3070] | 117 | get { return EvaluatorParameter.Value; }
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| 118 | }
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[5809] | 119 | IEvaluator IHeuristicOptimizationProblem.Evaluator {
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[3070] | 120 | get { return EvaluatorParameter.Value; }
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| 121 | }
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[3071] | 122 | public DoubleValue BestKnownQuality {
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| 123 | get { return BestKnownQualityParameter.Value; }
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| 124 | set { BestKnownQualityParameter.Value = value; }
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| 125 | }
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[3787] | 126 | public BinaryVector BestKnownSolution {
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| 127 | get { return BestKnownSolutionParameter.Value; }
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| 128 | set { BestKnownSolutionParameter.Value = value; }
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| 129 | }
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[3070] | 130 | public IEnumerable<IOperator> Operators {
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| 131 | get { return operators.Cast<IOperator>(); }
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| 132 | }
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[3667] | 133 | private BestKnapsackSolutionAnalyzer BestKnapsackSolutionAnalyzer {
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| 134 | get { return operators.OfType<BestKnapsackSolutionAnalyzer>().FirstOrDefault(); }
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[3641] | 135 | }
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[3070] | 136 | #endregion
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| 137 |
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[4098] | 138 | [Storable]
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| 139 | private List<IOperator> operators;
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[3125] | 140 |
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[4098] | 141 | [StorableConstructor]
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[4118] | 142 | private KnapsackProblem(bool deserializing) : base(deserializing) { }
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[4722] | 143 | private KnapsackProblem(KnapsackProblem original, Cloner cloner)
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| 144 | : base(original, cloner) {
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| 145 | this.operators = original.operators.Select(x => (IOperator)cloner.Clone(x)).ToList();
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| 146 | AttachEventHandlers();
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| 147 | }
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| 148 | public override IDeepCloneable Clone(Cloner cloner) {
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| 149 | return new KnapsackProblem(this, cloner);
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| 150 | }
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[3166] | 151 | public KnapsackProblem()
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[3070] | 152 | : base() {
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| 153 | RandomBinaryVectorCreator creator = new RandomBinaryVectorCreator();
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| 154 | KnapsackEvaluator evaluator = new KnapsackEvaluator();
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| 155 |
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| 156 | Parameters.Add(new ValueParameter<BoolValue>("Maximization", "Set to true as the Knapsack Problem is a maximization problem.", new BoolValue(true)));
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| 157 | Parameters.Add(new ValueParameter<IntValue>("KnapsackCapacity", "Capacity of the Knapsack.", new IntValue(0)));
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| 158 | Parameters.Add(new ValueParameter<IntArray>("Weights", "The weights of the items.", new IntArray(5)));
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| 159 | Parameters.Add(new ValueParameter<IntArray>("Values", "The values of the items.", new IntArray(5)));
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| 160 | Parameters.Add(new ValueParameter<DoubleValue>("Penalty", "The penalty value for each unit of overweight.", new DoubleValue(1)));
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| 161 | Parameters.Add(new ValueParameter<IBinaryVectorCreator>("SolutionCreator", "The operator which should be used to create new Knapsack solutions.", creator));
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| 162 | Parameters.Add(new ValueParameter<IKnapsackEvaluator>("Evaluator", "The operator which should be used to evaluate Knapsack solutions.", evaluator));
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[3071] | 163 | Parameters.Add(new OptionalValueParameter<DoubleValue>("BestKnownQuality", "The quality of the best known solution of this Knapsack instance."));
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[3787] | 164 | Parameters.Add(new OptionalValueParameter<BinaryVector>("BestKnownSolution", "The best known solution of this Knapsack instance."));
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[3070] | 165 |
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| 166 | creator.BinaryVectorParameter.ActualName = "KnapsackSolution";
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[3125] | 167 |
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| 168 | InitializeRandomKnapsackInstance();
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[5287] | 169 |
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[3070] | 170 | ParameterizeSolutionCreator();
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| 171 | ParameterizeEvaluator();
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| 172 |
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[4098] | 173 | InitializeOperators();
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| 174 | AttachEventHandlers();
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[3070] | 175 | }
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| 176 |
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| 177 | #region Events
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| 178 | public event EventHandler SolutionCreatorChanged;
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| 179 | private void OnSolutionCreatorChanged() {
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[3739] | 180 | EventHandler handler = SolutionCreatorChanged;
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| 181 | if (handler != null) handler(this, EventArgs.Empty);
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[3070] | 182 | }
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| 183 | public event EventHandler EvaluatorChanged;
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| 184 | private void OnEvaluatorChanged() {
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[3739] | 185 | EventHandler handler = EvaluatorChanged;
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| 186 | if (handler != null) handler(this, EventArgs.Empty);
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[3070] | 187 | }
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| 188 | public event EventHandler OperatorsChanged;
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| 189 | private void OnOperatorsChanged() {
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[3739] | 190 | EventHandler handler = OperatorsChanged;
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| 191 | if (handler != null) handler(this, EventArgs.Empty);
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[3070] | 192 | }
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[3739] | 193 | public event EventHandler Reset;
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| 194 | private void OnReset() {
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| 195 | EventHandler handler = Reset;
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| 196 | if (handler != null) handler(this, EventArgs.Empty);
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| 197 | }
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[3070] | 198 |
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| 199 | private void SolutionCreatorParameter_ValueChanged(object sender, EventArgs e) {
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[3641] | 200 | SolutionCreator.BinaryVectorParameter.ActualNameChanged += new EventHandler(SolutionCreator_BinaryVectorParameter_ActualNameChanged);
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[3070] | 201 | ParameterizeSolutionCreator();
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| 202 | ParameterizeEvaluator();
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[3667] | 203 | ParameterizeAnalyzer();
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[3070] | 204 | ParameterizeOperators();
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| 205 | OnSolutionCreatorChanged();
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| 206 | }
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[3641] | 207 | private void SolutionCreator_BinaryVectorParameter_ActualNameChanged(object sender, EventArgs e) {
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[3070] | 208 | ParameterizeEvaluator();
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[3667] | 209 | ParameterizeAnalyzer();
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[3070] | 210 | ParameterizeOperators();
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| 211 | }
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| 212 | private void EvaluatorParameter_ValueChanged(object sender, EventArgs e) {
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| 213 | ParameterizeEvaluator();
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[3667] | 214 | ParameterizeAnalyzer();
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[3070] | 215 | OnEvaluatorChanged();
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| 216 | }
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[3109] | 217 | void KnapsackCapacityParameter_ValueChanged(object sender, EventArgs e) {
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| 218 | ParameterizeEvaluator();
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[3667] | 219 | ParameterizeAnalyzer();
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[3070] | 220 | }
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[3109] | 221 | void WeightsParameter_ValueChanged(object sender, EventArgs e) {
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| 222 | ParameterizeEvaluator();
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[3667] | 223 | ParameterizeAnalyzer();
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[3110] | 224 | ParameterizeSolutionCreator();
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[3111] | 225 |
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| 226 | WeightsParameter.Value.Reset += new EventHandler(WeightsValue_Reset);
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[3070] | 227 | }
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[3111] | 228 | void WeightsValue_Reset(object sender, EventArgs e) {
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| 229 | ParameterizeSolutionCreator();
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[3463] | 230 |
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| 231 | if (WeightsParameter.Value != null && ValuesParameter.Value != null)
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| 232 | ((IStringConvertibleArray)ValuesParameter.Value).Length = WeightsParameter.Value.Length;
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[3111] | 233 | }
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[3109] | 234 | void ValuesParameter_ValueChanged(object sender, EventArgs e) {
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| 235 | ParameterizeEvaluator();
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[3667] | 236 | ParameterizeAnalyzer();
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[3110] | 237 | ParameterizeSolutionCreator();
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[3111] | 238 |
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| 239 | ValuesParameter.Value.Reset += new EventHandler(ValuesValue_Reset);
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[3109] | 240 | }
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[3111] | 241 | void ValuesValue_Reset(object sender, EventArgs e) {
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| 242 | ParameterizeSolutionCreator();
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[3463] | 243 |
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| 244 | if (WeightsParameter.Value != null && ValuesParameter.Value != null)
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| 245 | ((IStringConvertibleArray)WeightsParameter.Value).Length = ValuesParameter.Value.Length;
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[3111] | 246 | }
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[3109] | 247 | void PenaltyParameter_ValueChanged(object sender, EventArgs e) {
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| 248 | ParameterizeEvaluator();
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| 249 | }
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[3124] | 250 | void OneBitflipMoveParameter_ActualNameChanged(object sender, EventArgs e) {
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| 251 | string name = ((ILookupParameter<OneBitflipMove>)sender).ActualName;
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| 252 | foreach (IOneBitflipMoveOperator op in Operators.OfType<IOneBitflipMoveOperator>()) {
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| 253 | op.OneBitflipMoveParameter.ActualName = name;
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| 254 | }
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| 255 | }
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[3070] | 256 | #endregion
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| 257 |
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| 258 | #region Helpers
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| 259 | [StorableHook(HookType.AfterDeserialization)]
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[4722] | 260 | private void AfterDeserialization() {
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[4118] | 261 | // BackwardsCompatibility3.3
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| 262 | #region Backwards compatible code (remove with 3.4)
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| 263 | if (operators == null) InitializeOperators();
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| 264 | #endregion
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| 265 | AttachEventHandlers();
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| 266 | }
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| 267 |
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[4098] | 268 | private void AttachEventHandlers() {
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[3070] | 269 | SolutionCreatorParameter.ValueChanged += new EventHandler(SolutionCreatorParameter_ValueChanged);
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[3641] | 270 | SolutionCreator.BinaryVectorParameter.ActualNameChanged += new EventHandler(SolutionCreator_BinaryVectorParameter_ActualNameChanged);
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[3070] | 271 | EvaluatorParameter.ValueChanged += new EventHandler(EvaluatorParameter_ValueChanged);
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[3109] | 272 | KnapsackCapacityParameter.ValueChanged += new EventHandler(KnapsackCapacityParameter_ValueChanged);
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| 273 | WeightsParameter.ValueChanged += new EventHandler(WeightsParameter_ValueChanged);
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[3111] | 274 | WeightsParameter.Value.Reset += new EventHandler(WeightsValue_Reset);
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[3109] | 275 | ValuesParameter.ValueChanged += new EventHandler(ValuesParameter_ValueChanged);
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[3111] | 276 | ValuesParameter.Value.Reset += new EventHandler(ValuesValue_Reset);
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[3109] | 277 | PenaltyParameter.ValueChanged += new EventHandler(PenaltyParameter_ValueChanged);
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[3070] | 278 | }
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| 279 | private void ParameterizeSolutionCreator() {
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[5287] | 280 | if (SolutionCreator.LengthParameter.Value == null ||
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[3070] | 281 | SolutionCreator.LengthParameter.Value.Value != WeightsParameter.Value.Length)
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| 282 | SolutionCreator.LengthParameter.Value = new IntValue(WeightsParameter.Value.Length);
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| 283 | }
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| 284 | private void ParameterizeEvaluator() {
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| 285 | if (Evaluator is KnapsackEvaluator) {
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| 286 | KnapsackEvaluator knapsackEvaluator =
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| 287 | (KnapsackEvaluator)Evaluator;
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| 288 | knapsackEvaluator.BinaryVectorParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName;
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[3109] | 289 | knapsackEvaluator.KnapsackCapacityParameter.ActualName = KnapsackCapacityParameter.Name;
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[3070] | 290 | knapsackEvaluator.WeightsParameter.ActualName = WeightsParameter.Name;
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| 291 | knapsackEvaluator.ValuesParameter.ActualName = ValuesParameter.Name;
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| 292 | knapsackEvaluator.PenaltyParameter.ActualName = PenaltyParameter.Name;
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| 293 | }
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| 294 | }
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[3667] | 295 | private void ParameterizeAnalyzer() {
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[3789] | 296 | BestKnapsackSolutionAnalyzer.MaximizationParameter.ActualName = MaximizationParameter.Name;
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| 297 | BestKnapsackSolutionAnalyzer.BestKnownQualityParameter.ActualName = BestKnownQualityParameter.Name;
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| 298 | BestKnapsackSolutionAnalyzer.BestKnownSolutionParameter.ActualName = BestKnownSolutionParameter.Name;
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[3667] | 299 | BestKnapsackSolutionAnalyzer.BinaryVectorParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName;
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| 300 | BestKnapsackSolutionAnalyzer.KnapsackCapacityParameter.ActualName = KnapsackCapacityParameter.Name;
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| 301 | BestKnapsackSolutionAnalyzer.WeightsParameter.ActualName = WeightsParameter.Name;
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| 302 | BestKnapsackSolutionAnalyzer.ValuesParameter.ActualName = ValuesParameter.Name;
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| 303 | BestKnapsackSolutionAnalyzer.ResultsParameter.ActualName = "Results";
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[3467] | 304 | }
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[3070] | 305 | private void InitializeOperators() {
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[3641] | 306 | operators = new List<IOperator>();
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| 307 | operators.Add(new BestKnapsackSolutionAnalyzer());
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[3667] | 308 | ParameterizeAnalyzer();
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[3303] | 309 | foreach (IBinaryVectorOperator op in ApplicationManager.Manager.GetInstances<IBinaryVectorOperator>()) {
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| 310 | if (!(op is ISingleObjectiveMoveEvaluator) || (op is IKnapsackMoveEvaluator)) {
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| 311 | operators.Add(op);
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[3127] | 312 | }
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[3070] | 313 | }
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[3303] | 314 | ParameterizeOperators();
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[3124] | 315 | InitializeMoveGenerators();
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[3070] | 316 | }
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[3124] | 317 | private void InitializeMoveGenerators() {
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| 318 | foreach (IOneBitflipMoveOperator op in Operators.OfType<IOneBitflipMoveOperator>()) {
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| 319 | if (op is IMoveGenerator) {
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| 320 | op.OneBitflipMoveParameter.ActualNameChanged += new EventHandler(OneBitflipMoveParameter_ActualNameChanged);
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| 321 | }
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| 322 | }
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| 323 | }
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[3070] | 324 | private void ParameterizeOperators() {
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| 325 | foreach (IBinaryVectorCrossover op in Operators.OfType<IBinaryVectorCrossover>()) {
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| 326 | op.ParentsParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName;
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| 327 | op.ChildParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName;
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| 328 | }
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| 329 | foreach (IBinaryVectorManipulator op in Operators.OfType<IBinaryVectorManipulator>()) {
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| 330 | op.BinaryVectorParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName;
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| 331 | }
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[3124] | 332 | foreach (IBinaryVectorMoveOperator op in Operators.OfType<IBinaryVectorMoveOperator>()) {
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| 333 | op.BinaryVectorParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName;
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| 334 | }
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| 335 | foreach (IKnapsackMoveEvaluator op in Operators.OfType<IKnapsackMoveEvaluator>()) {
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| 336 | op.KnapsackCapacityParameter.ActualName = KnapsackCapacityParameter.Name;
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| 337 | op.PenaltyParameter.ActualName = PenaltyParameter.Name;
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| 338 | op.WeightsParameter.ActualName = WeightsParameter.Name;
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| 339 | op.ValuesParameter.ActualName = ValuesParameter.Name;
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| 340 | }
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[3070] | 341 | }
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| 342 | #endregion
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[4098] | 343 |
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| 344 | private void InitializeRandomKnapsackInstance() {
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| 345 | System.Random rand = new System.Random();
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| 346 |
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| 347 | int itemCount = rand.Next(10, 100);
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| 348 | Weights = new IntArray(itemCount);
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| 349 | Values = new IntArray(itemCount);
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| 350 |
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| 351 | double totalWeight = 0;
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| 352 |
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| 353 | for (int i = 0; i < itemCount; i++) {
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| 354 | int value = rand.Next(1, 10);
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| 355 | int weight = rand.Next(1, 10);
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| 356 |
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| 357 | Values[i] = value;
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| 358 | Weights[i] = weight;
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| 359 | totalWeight += weight;
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| 360 | }
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| 361 |
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| 362 | int capacity = (int)Math.Round(0.7 * totalWeight);
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| 363 | KnapsackCapacity = new IntValue(capacity);
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| 364 | }
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[3070] | 365 | }
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| 366 | }
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