#region License Information
/* HeuristicLab
* Copyright (C) 2002-2016 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();
}
}
}