#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); } }