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Ignore:
Timestamp:
05/04/17 17:19:35 (8 years ago)
Author:
gkronber
Message:

#2520: changed all usages of StorableClass to use StorableType with an auto-generated GUID (did not add StorableType to other type definitions yet)

Location:
branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3
Files:
48 edited

Legend:

Unmodified
Added
Removed

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/BoundsChecker.cs

    r14185 r14927  
    2626using HeuristicLab.Operators;
    2727using HeuristicLab.Parameters;
    28 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     28using HeuristicLab.Persistence;
    2929
    3030namespace HeuristicLab.Encodings.RealVectorEncoding {
    … …  
    3434  /// </summary>
    3535  [Item("BoundsChecker", "Checks if all elements of a real vector are inside the bounds. If not, elements are set to the respective values of the bounds.")]
    36   [StorableClass]
     36  [StorableType("420fe2a3-35e2-4a10-a0f3-8e6661eff21f")]
    3737  public class BoundsChecker : SingleSuccessorOperator, IRealVectorBoundsChecker {
    3838    public LookupParameter<RealVector> RealVectorParameter {

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Creators/NormalDistributedRealVectorCreator.cs

    r14185 r14927  
    2626using HeuristicLab.Optimization;
    2727using HeuristicLab.Parameters;
    28 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     28using HeuristicLab.Persistence;
    2929using HeuristicLab.Random;
    3030
    … …  
    3434  /// </summary>
    3535  [Item("NormalDistributedRealVectorCreator", "An operator which creates a new random real vector with each element normally distributed in a specified range.")]
    36   [StorableClass]
     36  [StorableType("8ea14f03-acb3-4993-98d0-289a4b67ddd6")]
    3737  public class NormalDistributedRealVectorCreator : RealVectorCreator, IStrategyParameterCreator {
    3838

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Creators/UniformRandomRealVectorCreator.cs

    r14185 r14927  
    2525using HeuristicLab.Data;
    2626using HeuristicLab.Optimization;
    27 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     27using HeuristicLab.Persistence;
    2828
    2929namespace HeuristicLab.Encodings.RealVectorEncoding {
    … …  
    3232  /// </summary>
    3333  [Item("UniformRandomRealVectorCreator", "An operator which creates a new random real vector with each element uniformly distributed in a specified range.")]
    34   [StorableClass]
     34  [StorableType("535ddbae-9e5e-4b35-9b2e-6719766d721a")]
    3535  public class UniformRandomRealVectorCreator : RealVectorCreator, IStrategyParameterCreator {
    3636    [StorableConstructor]
    … …  
    4242      return new UniformRandomRealVectorCreator(this, cloner);
    4343    }
    44    
     44
    4545    /// <summary>
    4646    /// Generates a new random real vector with the given <paramref name="length"/> and in the interval [min,max).

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Crossovers/AverageCrossover.cs

    r14185 r14927  
    2323using HeuristicLab.Common;
    2424using HeuristicLab.Core;
    25 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     25using HeuristicLab.Persistence;
    2626
    2727namespace HeuristicLab.Encodings.RealVectorEncoding {
    … …  
    3333  /// </remarks>
    3434  [Item("AverageCrossover", "The average crossover (intermediate recombination) produces a new offspring by calculating in each position the average of a number of parents. It is implemented as described by Beyer, H.-G. and Schwefel, H.-P. 2002. Evolution Strategies - A Comprehensive Introduction Natural Computing, 1, pp. 3-52.")]
    35   [StorableClass]
     35  [StorableType("61dc5c88-d9c3-42c9-8232-38c9e5af09fe")]
    3636  public class AverageCrossover : RealVectorCrossover {
    3737    [StorableConstructor]
    … …  
    4343      return new AverageCrossover(this, cloner);
    4444    }
    45    
     45
    4646    /// <summary>
    4747    /// Performs the average crossover (intermediate recombination) on a list of parents.
    … …  
    6666          result[i] = avg / (double)parentsCount;
    6767        }
    68       }
    69       catch (IndexOutOfRangeException) {
     68      } catch (IndexOutOfRangeException) {
    7069        throw new ArgumentException("AverageCrossover: The parents' vectors are of different length.", "parents");
    7170      }

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Crossovers/BlendAlphaBetaCrossover.cs

    r14185 r14927  
    2626using HeuristicLab.Optimization;
    2727using HeuristicLab.Parameters;
    28 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     28using HeuristicLab.Persistence;
    2929
    3030namespace HeuristicLab.Encodings.RealVectorEncoding {
    … …  
    4040  /// </remarks>
    4141  [Item("BlendAlphaBetaCrossover", "The blend alpha beta crossover (BLX-a-b) for real vectors is similar to the blend alpha crossover (BLX-a), but distinguishes between the better and worse of the parents. The interval from which to choose the new offspring can be extended beyond the better parent by specifying a higher alpha value, and beyond the worse parent by specifying a higher beta value. The new offspring is sampled uniformly in the extended range. It is implemented as described in Takahashi, M. and Kita, H. 2001. A crossover operator using independent component analysis for real-coded genetic algorithms Proceedings of the 2001 Congress on Evolutionary Computation, pp. 643-649.")]
    42   [StorableClass]
     42  [StorableType("9bf6736e-2e38-49ee-a154-87d8f0b2cd7c")]
    4343  public class BlendAlphaBetaCrossover : RealVectorCrossover, ISingleObjectiveOperator {
    4444    /// <summary>

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Crossovers/BlendAlphaCrossover.cs

    r14185 r14927  
    2525using HeuristicLab.Data;
    2626using HeuristicLab.Parameters;
    27 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     27using HeuristicLab.Persistence;
    2828
    2929namespace HeuristicLab.Encodings.RealVectorEncoding {
    … …  
    3838  /// </remarks>
    3939  [Item("BlendAlphaCrossover", "The blend alpha crossover (BLX-a) for real vectors creates new offspring by sampling a new value in the range [min_i - d * alpha, max_i + d * alpha) at each position i. Here min_i and max_i are the smaller and larger value of the two parents at position i and d is max_i - min_i. It is implemented as described in Takahashi, M. and Kita, H. 2001. A crossover operator using independent component analysis for real-coded genetic algorithms Proceedings of the 2001 Congress on Evolutionary Computation, pp. 643-649.")]
    40   [StorableClass]
     40  [StorableType("3a396378-c7ff-4f3b-bea1-4d29d7100bb0")]
    4141  public class BlendAlphaCrossover : RealVectorCrossover {
    4242    /// <summary>

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Crossovers/DiscreteCrossover.cs

    r14185 r14927  
    2323using HeuristicLab.Common;
    2424using HeuristicLab.Core;
    25 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     25using HeuristicLab.Persistence;
    2626
    2727namespace HeuristicLab.Encodings.RealVectorEncoding {
    … …  
    3535  /// </remarks>
    3636  [Item("DiscreteCrossover", "Discrete crossover for real vectors: Creates a new offspring by combining the alleles in the parents such that each allele is randomly selected from one parent. It is implemented as described in Beyer, H.-G. and Schwefel, H.-P. 2002. Evolution Strategies - A Comprehensive Introduction Natural Computing, 1, pp. 3-52.")]
    37   [StorableClass]
     37  [StorableType("455868ff-d615-409d-8b42-1134934ac6db")]
    3838  public class DiscreteCrossover : RealVectorCrossover {
    3939    [StorableConstructor]
    … …  
    4545      return new DiscreteCrossover(this, cloner);
    4646    }
    47    
     47
    4848    /// <summary>
    4949    /// Performs a discrete crossover operation on multiple parents.

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Crossovers/HeuristicCrossover.cs

    r14185 r14927  
    2626using HeuristicLab.Optimization;
    2727using HeuristicLab.Parameters;
    28 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     28using HeuristicLab.Persistence;
    2929
    3030namespace HeuristicLab.Encodings.RealVectorEncoding {
    … …  
    3737  /// </remarks>
    3838  [Item("HeuristicCrossover", "The heuristic crossover produces offspring that extend the better parent in direction from the worse to the better parent. It is implemented as described in Wright, A.H. (1994), Genetic algorithms for real parameter optimization, Foundations of Genetic Algorithms, G.J.E. Rawlins (Ed.), Morgan Kaufmann, San Mateo, CA, 205-218.")]
    39   [StorableClass]
     39  [StorableType("2fbe64ff-f4fe-4668-99a5-a0af853f69e7")]
    4040  public class HeuristicCrossover : RealVectorCrossover, ISingleObjectiveOperator {
    4141    /// <summary>

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Crossovers/LocalCrossover.cs

    r14185 r14927  
    2323using HeuristicLab.Common;
    2424using HeuristicLab.Core;
    25 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     25using HeuristicLab.Persistence;
    2626
    2727namespace HeuristicLab.Encodings.RealVectorEncoding {
    … …  
    3333  /// </remarks>
    3434  [Item("LocalCrossover", @"The local crossover is similar to the arithmetic all positions crossover, but uses a random alpha for each position x = alpha * p1 + (1-alpha) * p2. It is implemented as described in Dumitrescu, D. et al. (2000), Evolutionary computation, CRC Press, Boca Raton, FL., p. 194.")]
    35   [StorableClass]
     35  [StorableType("263eb3c9-5288-47d4-814f-ca9de5356887")]
    3636  public class LocalCrossover : RealVectorCrossover {
    3737    [StorableConstructor]
    … …  
    4343      return new LocalCrossover(this, cloner);
    4444    }
    45    
     45
    4646    /// <summary>
    4747    /// Performs a local crossover on the two given parent vectors.

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Crossovers/MultiRealVectorCrossover.cs

    r14185 r14927  
    2929using HeuristicLab.Optimization;
    3030using HeuristicLab.Parameters;
    31 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     31using HeuristicLab.Persistence;
    3232using HeuristicLab.PluginInfrastructure;
    3333
    3434namespace HeuristicLab.Encodings.RealVectorEncoding {
    3535  [Item("MultiRealVectorCrossover", "Randomly selects and applies one of its crossovers every time it is called.")]
    36   [StorableClass]
     36  [StorableType("f1b6b83e-6980-46d5-b0ef-539b0f04a51e")]
    3737  public class MultiRealVectorCrossover : StochasticMultiBranch<IRealVectorCrossover>, IRealVectorCrossover, IStochasticOperator {
    3838    public override bool CanChangeName {

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Crossovers/RandomConvexCrossover.cs

    r14185 r14927  
    2323using HeuristicLab.Common;
    2424using HeuristicLab.Core;
    25 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     25using HeuristicLab.Persistence;
    2626
    2727namespace HeuristicLab.Encodings.RealVectorEncoding {
    … …  
    3333  /// </remarks>
    3434  [Item("RandomConvexCrossover", "The random convex crossover acts like the local crossover, but with just one randomly chosen alpha for all crossed positions. It is implementes as described in Dumitrescu, D. et al. (2000), Evolutionary computation, CRC Press, Boca Raton, FL, pp. 193 - 194.")]
    35   [StorableClass]
     35  [StorableType("6742955d-1e35-4210-b74b-c1b31f0c02a0")]
    3636  public class RandomConvexCrossover : RealVectorCrossover {
    3737    [StorableConstructor]
    … …  
    4343      return new RandomConvexCrossover(this, cloner);
    4444    }
    45    
     45
    4646    /// <summary>
    4747    /// Performs a random convex crossover on the two given parents.

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Crossovers/SimulatedBinaryCrossover.cs

    r14185 r14927  
    2525using HeuristicLab.Data;
    2626using HeuristicLab.Parameters;
    27 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     27using HeuristicLab.Persistence;
    2828
    2929namespace HeuristicLab.Encodings.RealVectorEncoding {
    … …  
    3636  /// </remarks>
    3737  [Item("SimulatedBinaryCrossover", "The simulated binary crossover (SBX) is implemented as described in Deb, K. and Agrawal, R. B. 1995. Simulated binary crossover for continuous search space. Complex Systems, 9, pp. 115-148.")]
    38   [StorableClass]
     38  [StorableType("1ed2ad31-7d33-481a-95bd-0cdbf7cd22c8")]
    3939  public class SimulatedBinaryCrossover : RealVectorCrossover {
    4040    /// <summary>

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Crossovers/SinglePointCrossover.cs

    r14185 r14927  
    2323using HeuristicLab.Common;
    2424using HeuristicLab.Core;
    25 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     25using HeuristicLab.Persistence;
    2626
    2727namespace HeuristicLab.Encodings.RealVectorEncoding {
    … …  
    3535  /// </remarks>
    3636  [Item("SinglePointCrossover", "Breaks both parent chromosomes at a randomly chosen point and assembles a child by taking one part of the first parent and the other part of the second pard. It is implemented as described in Michalewicz, Z. 1999. Genetic Algorithms + Data Structures = Evolution Programs. Third, Revised and Extended Edition, Spring-Verlag Berlin Heidelberg.")]
    37   [StorableClass]
     37  [StorableType("92055f8b-3b1e-4e61-bcdf-212964dbd3fd")]
    3838  public class SinglePointCrossover : RealVectorCrossover {
    3939    [StorableConstructor]
    … …  
    4545      return new SinglePointCrossover(this, cloner);
    4646    }
    47    
     47
    4848    /// <summary>
    4949    /// Performs the single point crossover for real vectors. The implementation is similar to the single point crossover for binary vectors.

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Crossovers/UniformAllPositionsArithmeticCrossover.cs

    r14185 r14927  
    2525using HeuristicLab.Data;
    2626using HeuristicLab.Parameters;
    27 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     27using HeuristicLab.Persistence;
    2828
    2929namespace HeuristicLab.Encodings.RealVectorEncoding {
    … …  
    3636  /// </remarks>
    3737  [Item("UniformAllPositionsArithmeticCrossover", "The uniform all positions arithmetic crossover constructs an offspring by calculating x = alpha * p1 + (1-alpha) * p2 for every position x in the vector. Note that for alpha = 0.5 it is the same as the AverageCrossover (except that the AverageCrossover is defined for more than 2 parents). It is implemented as described in Michalewicz, Z. 1999. Genetic Algorithms + Data Structures = Evolution Programs. Third, Revised and Extended Edition, Spring-Verlag Berlin Heidelberg.")]
    38   [StorableClass]
     38  [StorableType("51c7c3c0-2d86-4523-ab3d-705e74a43486")]
    3939  public class UniformAllPositionsArithmeticCrossover : RealVectorCrossover {
    4040    /// <summary>

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Crossovers/UniformSomePositionsArithmeticCrossover.cs

    r14185 r14927  
    2525using HeuristicLab.Data;
    2626using HeuristicLab.Parameters;
    27 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     27using HeuristicLab.Persistence;
    2828
    2929namespace HeuristicLab.Encodings.RealVectorEncoding {
    … …  
    3636  /// </remarks>
    3737  [Item("UniformSomePositionsArithmeticCrossover", "The uniform some positions arithmetic crossover (continuous recombination) constructs an offspring by calculating x = alpha * p1 + (1-alpha) * p2 for a position x in the vector with a given probability (otherwise p1 is taken at this position). It is implemented as described in Dumitrescu, D. et al. (2000), Evolutionary computation, CRC Press, Boca Raton, FL, p. 191. Note that Dumitrescu et al. specify the alpha to be 0.5.")]
    38   [StorableClass]
     38  [StorableType("76030d4b-a514-435d-abc2-0feb530a2b74")]
    3939  public class UniformSomePositionsArithmeticCrossover : RealVectorCrossover {
    4040    /// <summary>

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Manipulators/BreederGeneticAlgorithmManipulator.cs

    r14185 r14927  
    2525using HeuristicLab.Data;
    2626using HeuristicLab.Parameters;
    27 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     27using HeuristicLab.Persistence;
    2828
    2929namespace HeuristicLab.Encodings.RealVectorEncoding {
    … …  
    3636  /// </remarks>
    3737  [Item("BreederGeneticAlgorithmManipulator", "It is implemented as described by Mühlenbein, H. and Schlierkamp-Voosen, D. 1993. Predictive Models for the Breeder Genetic Algorithm - I. Continuous Parameter Optimization. Evolutionary Computation, 1(1), pp. 25-49.")]
    38   [StorableClass]
     38  [StorableType("32d8d886-4c2e-4436-b7c0-1634fbedb8b7")]
    3939  public class BreederGeneticAlgorithmManipulator : RealVectorManipulator {
    4040    private static readonly double[] powerOfTwo = new double[] { 1, 0.5, 0.25, 0.125, 0.0625, 0.03125, 0.015625, 0.0078125, 0.00390625, 0.001953125, 0.0009765625, 0.00048828125, 0.000244140625, 0.0001220703125, 0.00006103515625, 0.000030517578125 };

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Manipulators/FixedNormalAllPositionsManipulator.cs

    r14185 r14927  
    2424using HeuristicLab.Core;
    2525using HeuristicLab.Parameters;
    26 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     26using HeuristicLab.Persistence;
    2727using HeuristicLab.Random;
    2828
    … …  
    3737  /// </remarks>
    3838  [Item("FixedNormalAllPositionsManipulator", "This manipulation operator adds a value sigma_i * N_i(0,1) to the current value in each position i given the values for sigma_i in the parameter. If there are less elements in Sigma than positions, then Sigma is cycled. It is implemented as described in Beyer, H.-G. and Schwefel, H.-P. 2002. Evolution Strategies - A Comprehensive Introduction Natural Computing, 1, pp. 3-52.")]
    39   [StorableClass]
     39  [StorableType("18e04cae-195f-4386-9047-b868a410d7ef")]
    4040  public class FixedNormalAllPositionsManipulator : RealVectorManipulator {
    4141

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Manipulators/MichalewiczNonUniformAllPositionsManipulator.cs

    r14185 r14927  
    2626using HeuristicLab.Optimization;
    2727using HeuristicLab.Parameters;
    28 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     28using HeuristicLab.Persistence;
    2929
    3030namespace HeuristicLab.Encodings.RealVectorEncoding {
    … …  
    3737  /// </remarks>
    3838  [Item("MichalewiczNonUniformAllPositionsManipulator", "It is implemented as described in Michalewicz, Z. 1999. Genetic Algorithms + Data Structures = Evolution Programs. Third, Revised and Extended Edition, Spring-Verlag Berlin Heidelberg.")]
    39   [StorableClass]
     39  [StorableType("1a60bee9-e063-4d70-b6d0-a49f8715603e")]
    4040  public class MichalewiczNonUniformAllPositionsManipulator : RealVectorManipulator, IIterationBasedOperator {
    4141    /// <summary>

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Manipulators/MichalewiczNonUniformOnePositionManipulator.cs

    r14185 r14927  
    2626using HeuristicLab.Optimization;
    2727using HeuristicLab.Parameters;
    28 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     28using HeuristicLab.Persistence;
    2929
    3030namespace HeuristicLab.Encodings.RealVectorEncoding {
    … …  
    3737  /// </remarks>
    3838  [Item("MichalewiczNonUniformOnePositionManipulator", "It is implemented as described in Michalewicz, Z. 1999. Genetic Algorithms + Data Structures = Evolution Programs. Third, Revised and Extended Edition, Spring-Verlag Berlin Heidelberg.")]
    39   [StorableClass]
     39  [StorableType("b129b3ed-bcc2-4baa-87a6-26f9de2e675e")]
    4040  public class MichalewiczNonUniformOnePositionManipulator : RealVectorManipulator, IIterationBasedOperator {
    4141    /// <summary>

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Manipulators/MultiRealVectorManipulator.cs

    r14185 r14927  
    2929using HeuristicLab.Optimization;
    3030using HeuristicLab.Parameters;
    31 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     31using HeuristicLab.Persistence;
    3232
    3333namespace HeuristicLab.Encodings.RealVectorEncoding {
    3434  [Item("MultiRealVectorManipulator", "Randomly selects and applies one of its manipulators every time it is called.")]
    35   [StorableClass]
     35  [StorableType("3ba0e674-ab16-4d16-b9f6-018dc8ac8f2e")]
    3636  public class MultiRealVectorManipulator : StochasticMultiBranch<IRealVectorManipulator>, IRealVectorManipulator, IStochasticOperator {
    3737    public override bool CanChangeName {

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Manipulators/PolynomialAllPositionManipulator.cs

    r14185 r14927  
    2525using HeuristicLab.Data;
    2626using HeuristicLab.Parameters;
    27 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     27using HeuristicLab.Persistence;
    2828
    2929namespace HeuristicLab.Encodings.RealVectorEncoding {
    … …  
    3636  /// </remarks>
    3737  [Item("PolynomialAllPositionManipulator", "The polynomial manipulation is implemented as described in Deb, K. & Goyal, M. A. 1996. Combined Genetic Adaptive Search (GeneAS) for Engineering Design Computer Science and Informatics, 26, pp. 30-45. In this operator it is performed on all positions of the real vector.")]
    38   [StorableClass]
     38  [StorableType("8ff8cb89-8cdd-4090-995a-1a0c5a493be3")]
    3939  public class PolynomialAllPositionManipulator : RealVectorManipulator {
    4040    /// <summary>

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Manipulators/PolynomialOnePositionManipulator.cs

    r14185 r14927  
    2525using HeuristicLab.Data;
    2626using HeuristicLab.Parameters;
    27 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     27using HeuristicLab.Persistence;
    2828
    2929namespace HeuristicLab.Encodings.RealVectorEncoding {
    … …  
    3535  /// </remarks>
    3636  [Item("PolynomialOnePositionManipulator", "The polynomial manipulation is implemented as described in Deb, K. & Goyal, M. A. 1996. Combined Genetic Adaptive Search (GeneAS) for Engineering Design Computer Science and Informatics, 26, pp. 30-45. In this operator it is performed on a single randomly chosen position of the real vector.")]
    37   [StorableClass]
     37  [StorableType("37effb78-1922-43c2-82fc-8bf494e95db9")]
    3838  public class PolynomialOnePositionManipulator : RealVectorManipulator {
    3939    /// <summary>

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Manipulators/SelfAdaptiveNormalAllPositionsManipulator.cs

    r14185 r14927  
    2525using HeuristicLab.Optimization;
    2626using HeuristicLab.Parameters;
    27 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     27using HeuristicLab.Persistence;
    2828using HeuristicLab.Random;
    2929
    … …  
    3838  /// </remarks>
    3939  [Item("SelfAdaptiveNormalAllPositionsManipulator", "This manipulation operator adds a value sigma_i * N(0,1) to the current value in each position i. The values for sigma_i are looked up dynamically. If there are less elements in the strategy vector than positions, then the strategy vector is cycled. It is implemented as described in Beyer, H.-G. and Schwefel, H.-P. 2002. Evolution Strategies - A Comprehensive Introduction Natural Computing, 1, pp. 3-52.")]
    40   [StorableClass]
     40  [StorableType("b753cbc8-cb62-4ccb-8266-9818649598f6")]
    4141  // BackwardsCompatibility3.3
    4242  // Rename class to match file- and itemname when upgrading to 3.4

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Manipulators/UniformOnePositionManipulator.cs

    r14185 r14927  
    2424using HeuristicLab.Core;
    2525using HeuristicLab.Data;
    26 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     26using HeuristicLab.Persistence;
    2727
    2828namespace HeuristicLab.Encodings.RealVectorEncoding {
    … …  
    3434  /// </remarks>
    3535  [Item("UniformOnePositionManipulator", "Changes a single position in the vector by sampling uniformly from the interval [Minimum_i, Maximum_i) in dimension i. It is implemented as described in Michalewicz, Z. 1999. Genetic Algorithms + Data Structures = Evolution Programs. Third, Revised and Extended Edition, Spring-Verlag Berlin Heidelberg.")]
    36   [StorableClass]
     36  [StorableType("e26732fc-4609-42e3-8d21-fd7a25ea6dff")]
    3737  public class UniformOnePositionManipulator : RealVectorManipulator {
    3838    [StorableConstructor]
    … …  
    4444      return new UniformOnePositionManipulator(this, cloner);
    4545    }
    46    
     46
    4747    /// <summary>
    4848    /// Changes randomly a single position in the given real <paramref name="vector"/>.

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Moves/AdditiveMove.cs

    r14185 r14927  
    2222using HeuristicLab.Common;
    2323using HeuristicLab.Core;
    24 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     24using HeuristicLab.Persistence;
    2525
    2626namespace HeuristicLab.Encodings.RealVectorEncoding {
    2727  [Item("AdditiveMove", "A move on a real vector that that represents an additive change in one dimension.")]
    28   [StorableClass]
     28  [StorableType("dc56dcbb-30fe-434b-89ce-7211242491bb")]
    2929  public class AdditiveMove : Item {
    3030    [Storable]

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Moves/AdditiveMoveGenerator.cs

    r14185 r14927  
    2626using HeuristicLab.Optimization;
    2727using HeuristicLab.Parameters;
    28 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     28using HeuristicLab.Persistence;
    2929
    3030namespace HeuristicLab.Encodings.RealVectorEncoding {
    3131  [Item("AdditiveMoveGenerator", "Base class for all additive move generators.")]
    32   [StorableClass]
     32  [StorableType("2141aff7-56f6-486c-b236-50e4cb7fb43f")]
    3333  public abstract class AdditiveMoveGenerator : SingleSuccessorOperator, IAdditiveRealVectorMoveOperator, IMoveGenerator, IStochasticOperator {
    3434    public override bool CanChangeName {

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Moves/AdditiveMoveMaker.cs

    r14185 r14927  
    2626using HeuristicLab.Optimization;
    2727using HeuristicLab.Parameters;
    28 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     28using HeuristicLab.Persistence;
    2929
    3030namespace HeuristicLab.Encodings.RealVectorEncoding {
    3131  [Item("AdditiveMoveMaker", "Peforms an additive move on a given real vector and updates the quality.")]
    32   [StorableClass]
     32  [StorableType("f3783e74-7f08-46bc-abd0-15d5c9ca2076")]
    3333  public class AdditiveMoveMaker : SingleSuccessorOperator, IAdditiveRealVectorMoveOperator, IMoveMaker, ISingleObjectiveOperator {
    3434    public override bool CanChangeName {

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Moves/AdditiveMoveTabuAttribute.cs

    r14185 r14927  
    2222using HeuristicLab.Common;
    2323using HeuristicLab.Core;
    24 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     24using HeuristicLab.Persistence;
    2525
    2626namespace HeuristicLab.Encodings.RealVectorEncoding {
    2727  [Item("AdditiveMoveTabuAttribute", "Tabu attribute for additive moves.")]
    28   [StorableClass]
     28  [StorableType("bf5cee26-ec5a-4c8e-82ca-55d392b84914")]
    2929  public class AdditiveMoveTabuAttribute : Item {
    3030    [Storable]

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Moves/AdditiveMoveTabuChecker.cs

    r14185 r14927  
    2727using HeuristicLab.Optimization;
    2828using HeuristicLab.Parameters;
    29 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     29using HeuristicLab.Persistence;
    3030
    3131namespace HeuristicLab.Encodings.RealVectorEncoding {
    3232  [Item("AdditiveMoveTabuChecker", "Prevents falling back into ranges that have been moved over before.")]
    33   [StorableClass]
     33  [StorableType("e784151a-23ab-4b42-a595-7f2168839972")]
    3434  public class AdditiveMoveTabuChecker : SingleSuccessorOperator, IAdditiveRealVectorMoveOperator, ITabuChecker {
    3535    public override bool CanChangeName {

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Moves/AdditiveMoveTabuMaker.cs

    r14185 r14927  
    2424using HeuristicLab.Optimization.Operators;
    2525using HeuristicLab.Parameters;
    26 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     26using HeuristicLab.Persistence;
    2727
    2828namespace HeuristicLab.Encodings.RealVectorEncoding {
    2929  [Item("AdditiveMoveTabuMaker", "Sets the move tabu.")]
    30   [StorableClass]
     30  [StorableType("ecc29b58-892b-428f-bfbd-9ff5a9ed7a29")]
    3131  public class AdditiveMoveTabuMaker : TabuMaker, IAdditiveRealVectorMoveOperator {
    3232    public ILookupParameter<AdditiveMove> AdditiveMoveParameter {

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Moves/StochasticNormalMultiMoveGenerator.cs

    r14185 r14927  
    2525using HeuristicLab.Optimization;
    2626using HeuristicLab.Parameters;
    27 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     27using HeuristicLab.Persistence;
    2828using HeuristicLab.Random;
    2929
    3030namespace HeuristicLab.Encodings.RealVectorEncoding {
    3131  [Item("StochasticNormalMultiMoveGenerator", "Generates normal distributed moves from a given real vector.")]
    32   [StorableClass]
     32  [StorableType("30d3c2ac-5fef-456a-ab1e-3b9024372c43")]
    3333  public class StochasticNormalMultiMoveGenerator : AdditiveMoveGenerator, IMultiMoveGenerator {
    3434    public IValueLookupParameter<DoubleValue> SigmaParameter {

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/Moves/StochasticPolynomialMultiMoveGenerator.cs

    r14185 r14927  
    2525using HeuristicLab.Optimization;
    2626using HeuristicLab.Parameters;
    27 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     27using HeuristicLab.Persistence;
    2828
    2929namespace HeuristicLab.Encodings.RealVectorEncoding {
    3030  [Item("StochasticPolynomialMultiMoveGenerator", "Generates polynomial moves from a given real vector.")]
    31   [StorableClass]
     31  [StorableType("c5c33ecf-ac9b-4bf5-bb62-64166ab439cb")]
    3232  public class StochasticPolynomialMultiMoveGenerator : AdditiveMoveGenerator, IMultiMoveGenerator {
    3333    /// <summary>

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/ParticleOperators/RealVectorNeighborhoodParticleUpdater.cs

    r14185 r14927  
    2323using HeuristicLab.Core;
    2424using HeuristicLab.Optimization;
    25 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     25using HeuristicLab.Persistence;
    2626
    2727namespace HeuristicLab.Encodings.RealVectorEncoding {
    2828  [Item("Neighborhood Particle Updater", "Updates the particle's position using (among other things) the best neighbor's position. Point = Point + Velocity*Inertia + (PersonalBestPoint-Point)*Phi_P*r_p + (BestNeighborPoint-Point)*Phi_G*r_g.")]
    29   [StorableClass]
     29  [StorableType("a6b961b9-9f1f-4c12-a655-2c51ee770bf7")]
    3030  public sealed class RealVectorNeighborhoodParticleUpdater : RealVectorParticleUpdater, ILocalParticleUpdater {
    3131

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/ParticleOperators/RealVectorParticleCreator.cs

    r14185 r14927  
    2525using HeuristicLab.Operators;
    2626using HeuristicLab.Parameters;
    27 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     27using HeuristicLab.Persistence;
    2828
    2929namespace HeuristicLab.Encodings.RealVectorEncoding {
    3030  [Item("RealVectorParticleCreator", "Creates a particle with position, zero velocity vector and personal best.")]
    31   [StorableClass]
     31  [StorableType("160826b9-c1ce-43de-8aef-66fe52475555")]
    3232  public class RealVectorParticleCreator : AlgorithmOperator, IRealVectorParticleCreator {
    3333

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/ParticleOperators/RealVectorParticleUpdater.cs

    r14185 r14927  
    2626using HeuristicLab.Operators;
    2727using HeuristicLab.Parameters;
    28 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     28using HeuristicLab.Persistence;
    2929
    3030namespace HeuristicLab.Encodings.RealVectorEncoding {
    3131
    3232  [Item("RealVectorParticleUpdater", "Updates a certain particle taking the current position and velocity into account, as well as the best point and the best point in a local neighborhood.")]
    33   [StorableClass]
     33  [StorableType("49ac65a4-bfff-4538-94d5-e60a99897faa")]
    3434  public abstract class RealVectorParticleUpdater : SingleSuccessorOperator, IRealVectorParticleUpdater {
    3535

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/ParticleOperators/RealVectorSwarmUpdater.cs

    r14185 r14927  
    2929using HeuristicLab.Optimization.Operators;
    3030using HeuristicLab.Parameters;
    31 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     31using HeuristicLab.Persistence;
    3232using HeuristicLab.PluginInfrastructure;
    3333
    3434namespace HeuristicLab.Encodings.RealVectorEncoding {
    3535  [Item("RealVectorSwarmUpdater", "Updates personal best point and quality as well as global best point and quality.")]
    36   [StorableClass]
     36  [StorableType("c4fdf472-68f2-492c-af0d-80aa154be646")]
    3737  public sealed class RealVectorSwarmUpdater : SingleSuccessorOperator, IRealVectorSwarmUpdater, ISingleObjectiveOperator {
    3838
    … …  
    327327      if (VelocityBoundsScalingOperator == null)
    328328        return new OperationCollection() {
    329           ExecutionContext.CreateChildOperation(ResultsCollector),       
     329          ExecutionContext.CreateChildOperation(ResultsCollector),
    330330          base.Apply()
    331331        };
    … …  
    347347      return new OperationCollection() {
    348348        ExecutionContext.CreateChildOperation(ResultsCollector),
    349         ExecutionContext.CreateChildOperation(VelocityBoundsScalingOperator),       
     349        ExecutionContext.CreateChildOperation(VelocityBoundsScalingOperator),
    350350        base.Apply()
    351351      };

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/ParticleOperators/RealVectorTotallyConnectedParticleUpdater.cs

    r14185 r14927  
    2323using HeuristicLab.Core;
    2424using HeuristicLab.Optimization;
    25 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     25using HeuristicLab.Persistence;
    2626
    2727namespace HeuristicLab.Encodings.RealVectorEncoding {
    2828  [Item("Totally Connected Particle Updater", "Updates the particle's position using (among other things) the global best position. Use together with the empty topology initialzer. Point = Point + Velocity*Inertia + (PersonalBestPoint-Point)*Phi_P*r_p + (BestPoint-Point)*Phi_G*r_g")]
    29   [StorableClass]
     29  [StorableType("f8f4eb37-159f-4cd6-9699-eb5939430d59")]
    3030  public sealed class RealVectorTotallyConnectedParticleUpdater : RealVectorParticleUpdater, IGlobalParticleUpdater {
    3131

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/RealVector.cs

    r14185 r14927  
    2323using HeuristicLab.Core;
    2424using HeuristicLab.Data;
    25 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     25using HeuristicLab.Persistence;
    2626
    2727namespace HeuristicLab.Encodings.RealVectorEncoding {
    28   [StorableClass]
     28  [StorableType("f970fc7a-2a9d-4ea8-af69-bde6dce8fac6")]
    2929  [Item("RealVector", "Represents a vector of real values.")]
    3030  public class RealVector : DoubleArray {

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/RealVectorCreator.cs

    r14185 r14927  
    2626using HeuristicLab.Optimization;
    2727using HeuristicLab.Parameters;
    28 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     28using HeuristicLab.Persistence;
    2929
    3030namespace HeuristicLab.Encodings.RealVectorEncoding {
    … …  
    3333  /// </summary>
    3434  [Item("RealVectorCreator", "A base class for operators creating real-valued vectors.")]
    35   [StorableClass]
     35  [StorableType("4f95698d-c7cc-488b-98a1-55fcb9c81231")]
    3636  public abstract class RealVectorCreator : InstrumentedOperator, IRealVectorCreator, IStochasticOperator {
    3737    public override bool CanChangeName {

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/RealVectorCrossover.cs

    r14185 r14927  
    2727using HeuristicLab.Optimization;
    2828using HeuristicLab.Parameters;
    29 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     29using HeuristicLab.Persistence;
    3030
    3131namespace HeuristicLab.Encodings.RealVectorEncoding {
    … …  
    3434  /// </summary>
    3535  [Item("RealVectorCrossover", "A base class for operators that perform a crossover of real-valued vectors.")]
    36   [StorableClass]
     36  [StorableType("b8ede929-77f5-4b63-af43-b2f607546481")]
    3737  public abstract class RealVectorCrossover : InstrumentedOperator, IRealVectorCrossover, IStochasticOperator {
    3838    public override bool CanChangeName {

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/RealVectorEncoding.cs

    r14185 r14927  
    2828using HeuristicLab.Optimization;
    2929using HeuristicLab.Parameters;
    30 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     30using HeuristicLab.Persistence;
    3131using HeuristicLab.PluginInfrastructure;
    3232
    3333namespace HeuristicLab.Encodings.RealVectorEncoding {
    3434  [Item("RealVectorEncoding", "Describes a real vector encoding.")]
    35   [StorableClass]
     35  [StorableType("3a152f2e-9a4f-4912-962d-6253627ac134")]
    3636  public sealed class RealVectorEncoding : Encoding<IRealVectorCreator> {
    3737    #region Encoding Parameters

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/RealVectorManipulator.cs

    r14185 r14927  
    2727using HeuristicLab.Optimization;
    2828using HeuristicLab.Parameters;
    29 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     29using HeuristicLab.Persistence;
    3030
    3131namespace HeuristicLab.Encodings.RealVectorEncoding {
    … …  
    3434  /// </summary>
    3535  [Item("RealVectorManipulator", "A base class for operators that manipulate real-valued vectors.")]
    36   [StorableClass]
     36  [StorableType("220cfdb3-21eb-48c6-b2aa-6d5dd6ce6d0b")]
    3737  public abstract class RealVectorManipulator : InstrumentedOperator, IRealVectorManipulator, IStochasticOperator {
    3838    public override bool CanChangeName {

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/ReflectiveBoundsChecker.cs

    r14185 r14927  
    2626using HeuristicLab.Operators;
    2727using HeuristicLab.Parameters;
    28 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     28using HeuristicLab.Persistence;
    2929
    3030namespace HeuristicLab.Encodings.RealVectorEncoding {
    … …  
    3434  /// </summary>
    3535  [Item("ReflectiveBoundsChecker", "Checks if all elements of a real vector are inside the bounds. If not, elements are mirrored at the bounds.")]
    36   [StorableClass]
     36  [StorableType("1fc8c7b3-7bdf-4214-9d5c-77b4f064c82f")]
    3737  public class ReflectiveBoundsChecker : SingleSuccessorOperator, IRealVectorBoundsChecker {
    3838    public LookupParameter<RealVector> RealVectorParameter {

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/ShakingOperators/RealVectorShakingOperator.cs

    r14185 r14927  
    2929using HeuristicLab.Optimization.Operators;
    3030using HeuristicLab.Parameters;
    31 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     31using HeuristicLab.Persistence;
    3232using HeuristicLab.PluginInfrastructure;
    3333
    … …  
    3737  /// </summary>
    3838  [Item("RealVectorShakingOperator", "A shaking operator for VNS which uses available manipulation operators to perform the shaking.")]
    39   [StorableClass]
     39  [StorableType("c7630f0f-646b-4485-aa82-9df613adccd9")]
    4040  public class RealVectorShakingOperator : ShakingOperator<IRealVectorManipulator>, IRealVectorMultiNeighborhoodShakingOperator, IStochasticOperator {
    4141

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/SimilarityCalculators/HammingSimilarityCalculator.cs

    r14659 r14927  
    2424using HeuristicLab.Core;
    2525using HeuristicLab.Optimization.Operators;
    26 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     26using HeuristicLab.Persistence;
    2727
    2828namespace HeuristicLab.Encodings.RealVectorEncoding {
    2929  [Item("Hamming Similarity Calculator for RealVector", "Calculates the solution similarity based on the Hamming distance between two real vectors.")]
    30   [StorableClass]
     30  [StorableType("155058ba-cc97-46d8-828d-670ff2529b51")]
    3131  public sealed class HammingSimilarityCalculator : SingleObjectiveSolutionSimilarityCalculator {
    3232    protected override bool IsCommutative {

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/StrategyParameters/StdDevStrategyVectorCreator.cs

    r14185 r14927  
    2626using HeuristicLab.Optimization;
    2727using HeuristicLab.Parameters;
    28 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     28using HeuristicLab.Persistence;
    2929
    3030namespace HeuristicLab.Encodings.RealVectorEncoding {
    3131  [Item("StdDevStrategyVectorCreator", "Creates the endogeneous strategy parameters.")]
    32   [StorableClass]
     32  [StorableType("23953b5c-1d7e-4c89-89be-20eb42b0ba46")]
    3333  public class StdDevStrategyVectorCreator : SingleSuccessorOperator, IStochasticOperator, IRealVectorStdDevStrategyParameterCreator {
    3434    public override bool CanChangeName {

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/StrategyParameters/StdDevStrategyVectorCrossover.cs

    r14185 r14927  
    2525using HeuristicLab.Optimization;
    2626using HeuristicLab.Parameters;
    27 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     27using HeuristicLab.Persistence;
    2828
    2929namespace HeuristicLab.Encodings.RealVectorEncoding {
    3030  [Item("StdDevStrategyVectorCrossover", "Crosses the strategy vector by using intermediate recombination (average crossover).")]
    31   [StorableClass]
     31  [StorableType("1d3dfb90-0c4e-436c-9d17-533284fc9510")]
    3232  public class StdDevStrategyVectorCrossover : SingleSuccessorOperator, IStochasticOperator, IRealVectorStdDevStrategyParameterCrossover {
    3333    public override bool CanChangeName {

  • branches/PersistenceReintegration/HeuristicLab.Encodings.RealVectorEncoding/3.3/StrategyParameters/StdDevStrategyVectorManipulator.cs

    r14185 r14927  
    2727using HeuristicLab.Optimization;
    2828using HeuristicLab.Parameters;
    29 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     29using HeuristicLab.Persistence;
    3030using HeuristicLab.Random;
    3131
    … …  
    3535  /// </summary>
    3636  [Item("StdDevStrategyVectorManipulator", "Mutates the endogenous strategy parameters.")]
    37   [StorableClass]
     37  [StorableType("fda755fe-7c3a-4cd4-8c8e-d8af5ab64e9e")]
    3838  public class StdDevStrategyVectorManipulator : SingleSuccessorOperator, IStochasticOperator, IRealVectorStdDevStrategyParameterManipulator {
    3939    public override bool CanChangeName {
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