#region License Information /* HeuristicLab * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using System; using System.Collections.Generic; using System.Linq; using HeuristicLab.Analysis; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Encodings.BinaryVectorEncoding; using HeuristicLab.Optimization; using HeuristicLab.Optimization.Operators; using HeuristicLab.Parameters; using HEAL.Attic; using HeuristicLab.PluginInfrastructure; namespace HeuristicLab.Problems.Knapsack { [Item("Knapsack Problem (KSP)", "Represents a Knapsack problem.")] [Creatable(CreatableAttribute.Categories.CombinatorialProblems, Priority = 200)] [StorableType("8CEDAFA2-6E0A-4D4B-B6C6-F85CC58B824E")] public sealed class KnapsackProblem : SingleObjectiveHeuristicOptimizationProblem, IStorableContent { public string Filename { get; set; } #region Parameter Properties public ValueParameter KnapsackCapacityParameter { get { return (ValueParameter)Parameters["KnapsackCapacity"]; } } public ValueParameter WeightsParameter { get { return (ValueParameter)Parameters["Weights"]; } } public ValueParameter ValuesParameter { get { return (ValueParameter)Parameters["Values"]; } } public ValueParameter PenaltyParameter { get { return (ValueParameter)Parameters["Penalty"]; } } public OptionalValueParameter BestKnownSolutionParameter { get { return (OptionalValueParameter)Parameters["BestKnownSolution"]; } } #endregion #region Properties public IntValue KnapsackCapacity { get { return KnapsackCapacityParameter.Value; } set { KnapsackCapacityParameter.Value = value; } } public IntArray Weights { get { return WeightsParameter.Value; } set { WeightsParameter.Value = value; } } public IntArray Values { get { return ValuesParameter.Value; } set { ValuesParameter.Value = value; } } public DoubleValue Penalty { get { return PenaltyParameter.Value; } set { PenaltyParameter.Value = value; } } public BinaryVector BestKnownSolution { get { return BestKnownSolutionParameter.Value; } set { BestKnownSolutionParameter.Value = value; } } private BestKnapsackSolutionAnalyzer BestKnapsackSolutionAnalyzer { get { return Operators.OfType().FirstOrDefault(); } } #endregion // BackwardsCompatibility3.3 #region Backwards compatible code, remove with 3.4 [Obsolete] [Storable(Name = "operators")] private IEnumerable oldOperators { get { return null; } set { if (value != null && value.Any()) Operators.AddRange(value); } } #endregion [StorableConstructor] private KnapsackProblem(StorableConstructorFlag _) : base(_) { } private KnapsackProblem(KnapsackProblem original, Cloner cloner) : base(original, cloner) { RegisterEventHandlers(); } public override IDeepCloneable Clone(Cloner cloner) { return new KnapsackProblem(this, cloner); } public KnapsackProblem() : base(new KnapsackEvaluator(), new RandomBinaryVectorCreator()) { Parameters.Add(new ValueParameter("KnapsackCapacity", "Capacity of the Knapsack.", new IntValue(0))); Parameters.Add(new ValueParameter("Weights", "The weights of the items.", new IntArray(5))); Parameters.Add(new ValueParameter("Values", "The values of the items.", new IntArray(5))); Parameters.Add(new ValueParameter("Penalty", "The penalty value for each unit of overweight.", new DoubleValue(1))); Parameters.Add(new OptionalValueParameter("BestKnownSolution", "The best known solution of this Knapsack instance.")); Maximization.Value = true; MaximizationParameter.Hidden = true; SolutionCreator.BinaryVectorParameter.ActualName = "KnapsackSolution"; InitializeRandomKnapsackInstance(); ParameterizeSolutionCreator(); ParameterizeEvaluator(); InitializeOperators(); RegisterEventHandlers(); } #region Events protected override void OnSolutionCreatorChanged() { base.OnSolutionCreatorChanged(); SolutionCreator.BinaryVectorParameter.ActualNameChanged += new EventHandler(SolutionCreator_BinaryVectorParameter_ActualNameChanged); ParameterizeSolutionCreator(); ParameterizeEvaluator(); ParameterizeAnalyzer(); ParameterizeOperators(); } protected override void OnEvaluatorChanged() { base.OnEvaluatorChanged(); ParameterizeEvaluator(); ParameterizeAnalyzer(); } private void SolutionCreator_BinaryVectorParameter_ActualNameChanged(object sender, EventArgs e) { ParameterizeEvaluator(); ParameterizeAnalyzer(); ParameterizeOperators(); } private void KnapsackCapacityParameter_ValueChanged(object sender, EventArgs e) { ParameterizeEvaluator(); ParameterizeAnalyzer(); } private void WeightsParameter_ValueChanged(object sender, EventArgs e) { ParameterizeEvaluator(); ParameterizeAnalyzer(); ParameterizeSolutionCreator(); WeightsParameter.Value.Reset += new EventHandler(WeightsValue_Reset); } private void WeightsValue_Reset(object sender, EventArgs e) { ParameterizeSolutionCreator(); if (WeightsParameter.Value != null && ValuesParameter.Value != null) ((IStringConvertibleArray)ValuesParameter.Value).Length = WeightsParameter.Value.Length; } private void ValuesParameter_ValueChanged(object sender, EventArgs e) { ParameterizeEvaluator(); ParameterizeAnalyzer(); ParameterizeSolutionCreator(); ValuesParameter.Value.Reset += new EventHandler(ValuesValue_Reset); } private void ValuesValue_Reset(object sender, EventArgs e) { ParameterizeSolutionCreator(); if (WeightsParameter.Value != null && ValuesParameter.Value != null) ((IStringConvertibleArray)WeightsParameter.Value).Length = ValuesParameter.Value.Length; } private void PenaltyParameter_ValueChanged(object sender, EventArgs e) { ParameterizeEvaluator(); } private void OneBitflipMoveParameter_ActualNameChanged(object sender, EventArgs e) { string name = ((ILookupParameter)sender).ActualName; foreach (IOneBitflipMoveOperator op in Operators.OfType()) { op.OneBitflipMoveParameter.ActualName = name; } } #endregion #region Helpers [StorableHook(HookType.AfterDeserialization)] private void AfterDeserialization() { // BackwardsCompatibility3.3 #region Backwards compatible code (remove with 3.4) if (Operators.Count == 0) InitializeOperators(); #endregion RegisterEventHandlers(); } private void RegisterEventHandlers() { SolutionCreator.BinaryVectorParameter.ActualNameChanged += new EventHandler(SolutionCreator_BinaryVectorParameter_ActualNameChanged); KnapsackCapacityParameter.ValueChanged += new EventHandler(KnapsackCapacityParameter_ValueChanged); WeightsParameter.ValueChanged += new EventHandler(WeightsParameter_ValueChanged); WeightsParameter.Value.Reset += new EventHandler(WeightsValue_Reset); ValuesParameter.ValueChanged += new EventHandler(ValuesParameter_ValueChanged); ValuesParameter.Value.Reset += new EventHandler(ValuesValue_Reset); PenaltyParameter.ValueChanged += new EventHandler(PenaltyParameter_ValueChanged); } private void ParameterizeSolutionCreator() { if (SolutionCreator.LengthParameter.Value == null || SolutionCreator.LengthParameter.Value.Value != WeightsParameter.Value.Length) SolutionCreator.LengthParameter.Value = new IntValue(WeightsParameter.Value.Length); } private void ParameterizeEvaluator() { if (Evaluator is KnapsackEvaluator) { KnapsackEvaluator knapsackEvaluator = (KnapsackEvaluator)Evaluator; knapsackEvaluator.BinaryVectorParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName; knapsackEvaluator.BinaryVectorParameter.Hidden = true; knapsackEvaluator.KnapsackCapacityParameter.ActualName = KnapsackCapacityParameter.Name; knapsackEvaluator.KnapsackCapacityParameter.Hidden = true; knapsackEvaluator.WeightsParameter.ActualName = WeightsParameter.Name; knapsackEvaluator.WeightsParameter.Hidden = true; knapsackEvaluator.ValuesParameter.ActualName = ValuesParameter.Name; knapsackEvaluator.ValuesParameter.Hidden = true; knapsackEvaluator.PenaltyParameter.ActualName = PenaltyParameter.Name; knapsackEvaluator.PenaltyParameter.Hidden = true; } } private void ParameterizeAnalyzer() { if (BestKnapsackSolutionAnalyzer != null) { BestKnapsackSolutionAnalyzer.MaximizationParameter.ActualName = MaximizationParameter.Name; BestKnapsackSolutionAnalyzer.MaximizationParameter.Hidden = true; BestKnapsackSolutionAnalyzer.BestKnownQualityParameter.ActualName = BestKnownQualityParameter.Name; BestKnapsackSolutionAnalyzer.BestKnownQualityParameter.Hidden = true; BestKnapsackSolutionAnalyzer.BestKnownSolutionParameter.ActualName = BestKnownSolutionParameter.Name; BestKnapsackSolutionAnalyzer.BestKnownSolutionParameter.Hidden = true; BestKnapsackSolutionAnalyzer.BinaryVectorParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName; BestKnapsackSolutionAnalyzer.BinaryVectorParameter.Hidden = true; BestKnapsackSolutionAnalyzer.KnapsackCapacityParameter.ActualName = KnapsackCapacityParameter.Name; BestKnapsackSolutionAnalyzer.KnapsackCapacityParameter.Hidden = true; BestKnapsackSolutionAnalyzer.WeightsParameter.ActualName = WeightsParameter.Name; BestKnapsackSolutionAnalyzer.WeightsParameter.Hidden = true; BestKnapsackSolutionAnalyzer.ValuesParameter.ActualName = ValuesParameter.Name; BestKnapsackSolutionAnalyzer.ValuesParameter.Hidden = true; } } private void InitializeOperators() { Operators.Add(new KnapsackImprovementOperator()); Operators.Add(new KnapsackPathRelinker()); Operators.Add(new KnapsackSimultaneousPathRelinker()); Operators.Add(new HammingSimilarityCalculator()); Operators.Add(new QualitySimilarityCalculator()); Operators.Add(new BestKnapsackSolutionAnalyzer()); Operators.Add(new PopulationSimilarityAnalyzer(Operators.OfType())); ParameterizeAnalyzer(); foreach (IBinaryVectorOperator op in ApplicationManager.Manager.GetInstances()) { if (!(op is ISingleObjectiveMoveEvaluator) || (op is IKnapsackMoveEvaluator)) { Operators.Add(op); } } ParameterizeOperators(); InitializeMoveGenerators(); } private void InitializeMoveGenerators() { foreach (IOneBitflipMoveOperator op in Operators.OfType()) { if (op is IMoveGenerator) { op.OneBitflipMoveParameter.ActualNameChanged += new EventHandler(OneBitflipMoveParameter_ActualNameChanged); } } } private void ParameterizeOperators() { foreach (IBinaryVectorCrossover op in Operators.OfType()) { op.ParentsParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName; op.ParentsParameter.Hidden = true; op.ChildParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName; op.ChildParameter.Hidden = true; } foreach (IBinaryVectorManipulator op in Operators.OfType()) { op.BinaryVectorParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName; op.BinaryVectorParameter.Hidden = true; } foreach (IBinaryVectorMoveOperator op in Operators.OfType()) { op.BinaryVectorParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName; op.BinaryVectorParameter.Hidden = true; } foreach (IKnapsackMoveEvaluator op in Operators.OfType()) { op.KnapsackCapacityParameter.ActualName = KnapsackCapacityParameter.Name; op.KnapsackCapacityParameter.Hidden = true; op.PenaltyParameter.ActualName = PenaltyParameter.Name; op.PenaltyParameter.Hidden = true; op.WeightsParameter.ActualName = WeightsParameter.Name; op.WeightsParameter.Hidden = true; op.ValuesParameter.ActualName = ValuesParameter.Name; op.ValuesParameter.Hidden = true; } foreach (IBinaryVectorMultiNeighborhoodShakingOperator op in Operators.OfType()) { op.BinaryVectorParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName; op.BinaryVectorParameter.Hidden = true; } foreach (ISingleObjectiveImprovementOperator op in Operators.OfType()) { op.SolutionParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName; op.SolutionParameter.Hidden = true; } foreach (ISingleObjectivePathRelinker op in Operators.OfType()) { op.ParentsParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName; op.ParentsParameter.Hidden = true; } foreach (ISolutionSimilarityCalculator op in Operators.OfType()) { op.SolutionVariableName = SolutionCreator.BinaryVectorParameter.ActualName; op.QualityVariableName = Evaluator.QualityParameter.ActualName; } } #endregion private void InitializeRandomKnapsackInstance() { System.Random rand = new System.Random(); int itemCount = rand.Next(10, 100); Weights = new IntArray(itemCount); Values = new IntArray(itemCount); double totalWeight = 0; for (int i = 0; i < itemCount; i++) { int value = rand.Next(1, 10); int weight = rand.Next(1, 10); Values[i] = value; Weights[i] = weight; totalWeight += weight; } int capacity = (int)Math.Round(0.7 * totalWeight); KnapsackCapacity = new IntValue(capacity); } } }