#region License Information
/* HeuristicLab
* Copyright (C) 2002-2012 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 HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Operators;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Encodings.DecisionList {
[Item("DecisionListManipulator", "Description missing")]
[StorableClass]
public abstract class DecisionListManipulator : SingleSuccessorOperator, IDecisionListManipulator {
#region Parameter Properties
public ILookupParameter RandomParameter {
get { return (ILookupParameter)Parameters["Random"]; }
}
public ILookupParameter ChildParameter {
get { return (ILookupParameter)Parameters["Child"]; }
}
public ILookupParameter ActionMutationProbabilityParameter {
get { return (ILookupParameter)Parameters["ActionMutationProbability"]; }
}
#endregion
[StorableConstructor]
protected DecisionListManipulator(bool deserializing) : base(deserializing) { }
protected DecisionListManipulator(DecisionListManipulator original, Cloner cloner)
: base(original, cloner) {
}
public DecisionListManipulator()
: base() {
Parameters.Add(new LookupParameter("Random"));
Parameters.Add(new LookupParameter("Child"));
Parameters.Add(new LookupParameter("ActionMutationProbability"));
}
public override IOperation Apply() {
Manipulate(RandomParameter.ActualValue, ChildParameter.ActualValue, ActionMutationProbabilityParameter.ActualValue.Value);
return base.Apply();
}
protected abstract void Manipulate(IRandom random, DecisionList child, double actionMutationProbability);
}
}