#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 System.Collections.Generic;
using System.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Encodings.VariableVector {
[Item("UniformActionManipulator", "Description missing")]
[StorableClass]
public class UniformActionManipulator : VariableVectorManipulator {
#region Parameter Properties
public ILookupParameter> PossibleActionsParameter {
get { return (ILookupParameter>)Parameters["PossibleActions"]; }
}
#endregion
[StorableConstructor]
protected UniformActionManipulator(bool deserializing) : base(deserializing) { }
protected UniformActionManipulator(UniformActionManipulator original, Cloner cloner)
: base(original, cloner) {
}
public UniformActionManipulator()
: base() {
Parameters.Add(new LookupParameter>("PossibleActions"));
}
public override IDeepCloneable Clone(Cloner cloner) {
return new UniformActionManipulator(this, cloner);
}
protected override VariableVector Manipulate(IRandom random, VariableVectorInput input, VariableVector child, double spreadpercentage) {
return Manipulate(random, child, PossibleActionsParameter.ActualValue);
}
public static VariableVector Manipulate(IRandom random, VariableVector child, IEnumerable possibleActions) {
var otherActions = possibleActions.Except((child.Action).ToEnumerable());
int actionIndex = random.Next(otherActions.Count());
VariableVectorAction newAction = otherActions.ElementAt(actionIndex);
return new VariableVector(child.Condition.VariableDictionary.Values.Select(x => x.GetSetCopy()), newAction.VariableDictionary.Values.Select(x => x.GetSetCopy()));
}
}
}