#region License Information /* HeuristicLab * Copyright (C) 2002-2019 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.Linq; using HEAL.Attic; using HeuristicLab.Analysis; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Optimization; using HeuristicLab.Optimization.Operators; using HeuristicLab.Parameters; namespace HeuristicLab.Encodings.PermutationEncoding { [StorableType("aceff7a2-0666-4055-b698-6ea3628713b6")] public abstract class PermutationProblem : SingleObjectiveProblem { [Storable] protected ReferenceParameter DimensionRefParameter { get; private set; } [Storable] protected ReferenceParameter> PermutationTypeRefParameter { get; private set; } public int Dimension { get { return DimensionRefParameter.Value.Value; } set { DimensionRefParameter.Value.Value = value; } } public PermutationTypes Type { get { return PermutationTypeRefParameter.Value.Value; } set { PermutationTypeRefParameter.Value.Value = value; } } [StorableConstructor] protected PermutationProblem(StorableConstructorFlag _) : base(_) { } [StorableHook(HookType.AfterDeserialization)] private void AfterDeserialization() { RegisterEventHandlers(); } protected PermutationProblem(PermutationProblem original, Cloner cloner) : base(original, cloner) { DimensionRefParameter = cloner.Clone(original.DimensionRefParameter); PermutationTypeRefParameter = cloner.Clone(original.PermutationTypeRefParameter); RegisterEventHandlers(); } protected PermutationProblem() : this(new PermutationEncoding() { Length = 10, Type = PermutationTypes.Absolute }) { } protected PermutationProblem(PermutationEncoding encoding) : base(encoding) { EncodingParameter.ReadOnly = true; Parameters.Add(DimensionRefParameter = new ReferenceParameter("Dimension", "The dimension of the permutation problem.", Encoding.LengthParameter)); Parameters.Add(PermutationTypeRefParameter = new ReferenceParameter>("Type", "The type of the permutation.", Encoding.PermutationTypeParameter)); Operators.Add(new HammingSimilarityCalculator()); // TODO: These should be added in the SingleObjectiveProblem base class (if they were accessible from there) Operators.Add(new QualitySimilarityCalculator()); Operators.Add(new PopulationSimilarityAnalyzer(Operators.OfType())); Parameterize(); RegisterEventHandlers(); } public override void Analyze(Permutation[] permutations, double[] qualities, ResultCollection results, IRandom random) { base.Analyze(permutations, qualities, results, random); var best = GetBestSolution(permutations, qualities); results.AddOrUpdateResult("Best Solution", (IItem)best.Item1.Clone()); } protected override void ParameterizeOperators() { base.ParameterizeOperators(); Parameterize(); } private void Parameterize() { // TODO: this is done in base class as well (but operators are added at this level of the hierarchy) foreach (var similarityCalculator in Operators.OfType()) { similarityCalculator.SolutionVariableName = Encoding.Name; similarityCalculator.QualityVariableName = Evaluator.QualityParameter.ActualName; } } private void RegisterEventHandlers() { IntValueParameterChangeHandler.Create(DimensionRefParameter, DimensionOnChanged); EnumValueParameterChangeHandler.Create(PermutationTypeRefParameter, TypeOnChanged); } protected virtual void DimensionOnChanged() { } protected virtual void TypeOnChanged() { } } }