#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.Encodings.ConditionActionEncoding;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Encodings.VariableVector {
[Item("UniformSomePositionManipulator", "Description missing")]
[StorableClass]
public class UniformSomePositionManipulator : VariableVectorManipulator, IProbabilityMutatorOperator {
#region Parameter Properties
public IValueLookupParameter ProbabilityParameter {
get { return (IValueLookupParameter)Parameters["Probability"]; }
}
public ILookupParameter> PossibleActionsParameter {
get { return (ILookupParameter>)Parameters["PossibleActions"]; }
}
#endregion
[StorableConstructor]
protected UniformSomePositionManipulator(bool deserializing) : base(deserializing) { }
protected UniformSomePositionManipulator(UniformSomePositionManipulator original, Cloner cloner)
: base(original, cloner) {
}
public UniformSomePositionManipulator()
: base() {
Parameters.Add(new ValueLookupParameter("Probability", "The probability for each dimension to be manipulated."));
Parameters.Add(new LookupParameter>("PossibleActions"));
}
public override IDeepCloneable Clone(Cloner cloner) {
return new UniformSomePositionManipulator(this, cloner);
}
protected override VariableVector Manipulate(IRandom random, VariableVectorInput input, VariableVector child) {
return Manipulate(random, input, child, ProbabilityParameter.ActualValue.Value, PossibleActionsParameter.ActualValue);
}
public static VariableVector Manipulate(IRandom random, VariableVectorInput input, VariableVector child, double probability, IItemSet possibleActions) {
child = ManipulateCondition(random, input, child, probability);
return ManipulateAction(random, child, probability, possibleActions);
}
public static VariableVector ManipulateCondition(IRandom random, VariableVectorInput input, VariableVector child, double probability) {
for (int index = 0; index < child.Condition.VirtualLength; index++) {
if (random.NextDouble() < probability) {
child = UniformOnePositionInConditionManipulator.Manipulate(random, input, child, index);
}
}
return child;
}
public static VariableVector ManipulateAction(IRandom random, VariableVector child, double probability, IItemSet possibleActions) {
if (random.NextDouble() < probability) {
UniformActionManipulator.Manipulate(random, child, possibleActions);
}
return child;
}
}
}