#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; } } }