#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();
}
}
}