#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; using System.Linq; using HeuristicLab.Collections; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Operators; using HeuristicLab.Optimization; using HeuristicLab.Parameters; using HEAL.Attic; using HeuristicLab.PluginInfrastructure; namespace HeuristicLab.Encodings.RealVectorEncoding { [Item("MultiRealVectorCrossover", "Randomly selects and applies one of its crossovers every time it is called.")] [StorableType("38437BE4-8B77-4347-A7F8-73D787942944")] public class MultiRealVectorCrossover : StochasticMultiBranch, IRealVectorCrossover, IStochasticOperator { public override bool CanChangeName { get { return false; } } protected override bool CreateChildOperation { get { return true; } } public ILookupParameter> ParentsParameter { get { return (ILookupParameter>)Parameters["Parents"]; } } public ILookupParameter ChildParameter { get { return (ILookupParameter)Parameters["Child"]; } } public IValueLookupParameter BoundsParameter { get { return (IValueLookupParameter)Parameters["Bounds"]; } } [StorableConstructor] protected MultiRealVectorCrossover(StorableConstructorFlag _) : base(_) { } protected MultiRealVectorCrossover(MultiRealVectorCrossover original, Cloner cloner) : base(original, cloner) { } public MultiRealVectorCrossover() : base() { Parameters.Add(new ScopeTreeLookupParameter("Parents", "The parent real vector which should be crossed.")); ParentsParameter.ActualName = "RealVector"; Parameters.Add(new LookupParameter("Child", "The child real vector resulting from the crossover.")); ChildParameter.ActualName = "RealVector"; Parameters.Add(new ValueLookupParameter("Bounds", "The lower and upper bounds for each dimension of the vector.")); foreach (Type type in ApplicationManager.Manager.GetTypes(typeof(IRealVectorCrossover))) { if (!typeof(MultiOperator).IsAssignableFrom(type)) Operators.Add((IRealVectorCrossover)Activator.CreateInstance(type), true); } SelectedOperatorParameter.ActualName = "SelectedCrossoverOperator"; } public override IDeepCloneable Clone(Cloner cloner) { return new MultiRealVectorCrossover(this, cloner); } protected override void Operators_ItemsReplaced(object sender, CollectionItemsChangedEventArgs> e) { base.Operators_ItemsReplaced(sender, e); ParameterizeCrossovers(); } protected override void Operators_ItemsAdded(object sender, CollectionItemsChangedEventArgs> e) { base.Operators_ItemsAdded(sender, e); ParameterizeCrossovers(); } private void ParameterizeCrossovers() { foreach (IRealVectorCrossover crossover in Operators.OfType()) { crossover.ChildParameter.ActualName = ChildParameter.Name; crossover.ParentsParameter.ActualName = ParentsParameter.Name; crossover.BoundsParameter.ActualName = BoundsParameter.Name; } foreach (IStochasticOperator crossover in Operators.OfType()) { crossover.RandomParameter.ActualName = RandomParameter.Name; } } public override IOperation InstrumentedApply() { if (Operators.Count == 0) throw new InvalidOperationException(Name + ": Please add at least one real vector crossover to choose from."); return base.InstrumentedApply(); } } }