#region License Information /* HeuristicLab * Copyright (C) 2002-2013 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 HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Encodings.RealVectorEncoding { [Item("MultiRealVectorManipulator", "Randomly selects and applies one of its manipulators every time it is called.")] [StorableClass] public class MultiRealVectorManipulator : StochasticMultiBranch, IRealVectorManipulator, IStochasticOperator { public override bool CanChangeName { get { return false; } } protected override bool CreateChildOperation { get { return true; } } public ILookupParameter RealVectorParameter { get { return (ILookupParameter)Parameters["RealVector"]; } } public IValueLookupParameter BoundsParameter { get { return (IValueLookupParameter)Parameters["Bounds"]; } } [StorableConstructor] protected MultiRealVectorManipulator(bool deserializing) : base(deserializing) { } protected MultiRealVectorManipulator(MultiRealVectorManipulator original, Cloner cloner) : base(original, cloner) { } public MultiRealVectorManipulator() : base() { Parameters.Add(new LookupParameter("RealVector", "The real vector that is being manipulating.")); Parameters.Add(new ValueLookupParameter("Bounds", "The lower and upper bounds for each dimension of the vector.")); Operators.Add(new BreederGeneticAlgorithmManipulator()); Operators.Add(new NormalAllPositionsManipulator()); Operators.Add(new PolynomialAllPositionManipulator()); Operators.Add(new PolynomialOnePositionManipulator()); Operators.Add(new UniformOnePositionManipulator()); SelectedOperatorParameter.ActualName = "SelectedManipulationOperator"; } public override IDeepCloneable Clone(Cloner cloner) { return new MultiRealVectorManipulator(this, cloner); } protected override void Operators_ItemsReplaced(object sender, CollectionItemsChangedEventArgs> e) { base.Operators_ItemsReplaced(sender, e); ParameterizeManipulators(); } protected override void Operators_ItemsAdded(object sender, CollectionItemsChangedEventArgs> e) { base.Operators_ItemsAdded(sender, e); ParameterizeManipulators(); } private void ParameterizeManipulators() { foreach (IRealVectorManipulator manipulator in Operators.OfType()) { manipulator.RealVectorParameter.ActualName = RealVectorParameter.Name; manipulator.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 manipulator to choose from."); return base.InstrumentedApply(); } } }