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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.PermutationEncoding/3.3/Crossovers
Files:
12 edited

Legend:

Unmodified
Added
Removed

  • branches/PersistenceReintegration/HeuristicLab.Encodings.PermutationEncoding/3.3/Crossovers/CosaCrossover.cs

    r14185 r14927  
    2323using HeuristicLab.Common;
    2424using HeuristicLab.Core;
    25 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     25using HeuristicLab.Persistence;
    2626
    2727namespace HeuristicLab.Encodings.PermutationEncoding {
    … …  
    3636  /// </remarks>
    3737  [Item("CosaCrossover", "An operator which performs the crossover described in the COSA optimization method. It is implemented as described in Wendt, O. 1994. COSA: COoperative Simulated Annealing - Integration von Genetischen Algorithmen und Simulated Annealing am Beispiel der Tourenplanung. Dissertation Thesis. IWI Frankfurt.")]
    38   [StorableClass]
     38  [StorableType("60e88e11-088d-46ba-a80b-1589248035d0")]
    3939  public class CosaCrossover : PermutationCrossover {
    4040    [StorableConstructor]

  • branches/PersistenceReintegration/HeuristicLab.Encodings.PermutationEncoding/3.3/Crossovers/CyclicCrossover.cs

    r14185 r14927  
    2323using HeuristicLab.Common;
    2424using HeuristicLab.Core;
    25 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     25using HeuristicLab.Persistence;
    2626
    2727namespace HeuristicLab.Encodings.PermutationEncoding {
    … …  
    3333  /// </remarks>
    3434  [Item("CyclicCrossover", "An operator which performs the cyclic crossover on two permutations. It is implemented as described in Eiben, A.E. and Smith, J.E. 2003. Introduction to Evolutionary Computation. Natural Computing Series, Springer-Verlag Berlin Heidelberg.")]
    35   [StorableClass]
     35  [StorableType("921f2ddb-2dec-46d8-a2ed-e2133f2d31a4")]
    3636  public class CyclicCrossover : PermutationCrossover {
    3737    [StorableConstructor]
    … …  
    7575          invParent2[parent2[i]] = i;
    7676        }
    77       }
    78       catch (IndexOutOfRangeException) {
     77      } catch (IndexOutOfRangeException) {
    7978        throw new InvalidOperationException("CyclicCrossover: The permutation must consist of numbers in the interval [0;N) with N = length of the permutation.");
    8079      }

  • branches/PersistenceReintegration/HeuristicLab.Encodings.PermutationEncoding/3.3/Crossovers/CyclicCrossover2.cs

    r14185 r14927  
    2323using HeuristicLab.Common;
    2424using HeuristicLab.Core;
    25 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     25using HeuristicLab.Persistence;
    2626
    2727namespace HeuristicLab.Encodings.PermutationEncoding {
    … …  
    3434  /// </remarks>
    3535  [Item("CyclicCrossover2", "An operator which performs the cyclic crossover on two permutations. It is implemented as described in Affenzeller, M. et al. 2009. Genetic Algorithms and Genetic Programming - Modern Concepts and Practical Applications. CRC Press. p. 136.")]
    36   [StorableClass]
     36  [StorableType("b8009de2-eec6-4427-bcba-205700e98b8d")]
    3737  public class CyclicCrossover2 : PermutationCrossover {
    3838    [StorableConstructor]

  • branches/PersistenceReintegration/HeuristicLab.Encodings.PermutationEncoding/3.3/Crossovers/EdgeRecombinationCrossover.cs

    r14185 r14927  
    2323using HeuristicLab.Common;
    2424using HeuristicLab.Core;
    25 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     25using HeuristicLab.Persistence;
    2626
    2727namespace HeuristicLab.Encodings.PermutationEncoding {
    … …  
    3636  /// </remarks>
    3737  [Item("EdgeRecombinationCrossover", "An operator which performs the edge recombination crossover on two permutations. It is implemented as described in Whitley et.al. 1991, The Traveling Salesman and Sequence Scheduling, in Davis, L. (Ed.), Handbook of Genetic Algorithms, New York, pp. 350-372.")]
    38   [StorableClass]
     38  [StorableType("dc173f35-359c-419b-a978-2f1b5bfa8b05")]
    3939  public class EdgeRecombinationCrossover : PermutationCrossover {
    4040    [StorableConstructor]

  • branches/PersistenceReintegration/HeuristicLab.Encodings.PermutationEncoding/3.3/Crossovers/MaximalPreservativeCrossover.cs

    r14185 r14927  
    2323using HeuristicLab.Common;
    2424using HeuristicLab.Core;
    25 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     25using HeuristicLab.Persistence;
    2626
    2727namespace HeuristicLab.Encodings.PermutationEncoding {
    … …  
    3636  /// </remarks>
    3737  [Item("MaximalPreservativeCrossover", "An operator which performs the maximal preservative crossover on two permutations. It is implemented as described in Mühlenbein, H. 1991. Evolution in time and space - the parallel genetic algorithm. FOUNDATIONS OF GENETIC ALGORITHMS, pp. 316-337. Morgan Kaufmann.")]
    38   [StorableClass]
     38  [StorableType("ba0a0a8b-d606-4d25-a5d1-73575e5faf3e")]
    3939  public class MaximalPreservativeCrossover : PermutationCrossover {
    4040    [StorableConstructor]
    … …  
    9393          invParent2[parent2[i]] = i;
    9494        }
    95       }
    96       catch (IndexOutOfRangeException) {
     95      } catch (IndexOutOfRangeException) {
    9796        throw new InvalidOperationException("MaximalPreservativeCrossover: The permutation must consist of numbers in the interval [0;N) with N = length of the permutation.");
    9897      }

  • branches/PersistenceReintegration/HeuristicLab.Encodings.PermutationEncoding/3.3/Crossovers/MultiPermutationCrossover.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.PermutationEncoding {
    3434  [Item("MultiPermutationCrossover", "Randomly selects and applies one of its crossovers every time it is called.")]
    35   [StorableClass]
     35  [StorableType("8e4117fd-bcd1-41bb-9db8-ec8a3c061097")]
    3636  public class MultiPermutationCrossover : StochasticMultiBranch<IPermutationCrossover>, IPermutationCrossover, IStochasticOperator {
    3737    public override bool CanChangeName {

  • branches/PersistenceReintegration/HeuristicLab.Encodings.PermutationEncoding/3.3/Crossovers/OrderBasedCrossover.cs

    r14185 r14927  
    2323using HeuristicLab.Common;
    2424using HeuristicLab.Core;
    25 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     25using HeuristicLab.Persistence;
    2626
    2727namespace HeuristicLab.Encodings.PermutationEncoding {
    … …  
    3636  /// </remarks>
    3737  [Item("OrderBasedCrossover", "An operator which performs an order based crossover of two permutations. It is implemented as described in Syswerda, G. (1991). Schedule Optimization Using Genetic Algorithms. In Davis, L. (Ed.) Handbook of Genetic Algorithms, Van Nostrand Reinhold, New York, pp. 332-349.")]
    38   [StorableClass]
     38  [StorableType("bade5d55-8d35-43bf-897d-2dbcef2697c5")]
    3939  public class OrderBasedCrossover : PermutationCrossover {
    4040    [StorableConstructor]

  • branches/PersistenceReintegration/HeuristicLab.Encodings.PermutationEncoding/3.3/Crossovers/OrderCrossover.cs

    r14185 r14927  
    2323using HeuristicLab.Common;
    2424using HeuristicLab.Core;
    25 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     25using HeuristicLab.Persistence;
    2626
    2727namespace HeuristicLab.Encodings.PermutationEncoding {
    … …  
    3636  /// </remarks>
    3737  [Item("OrderCrossover", "An operator which performs an order crossover of two permutations. It is implemented as described in Eiben, A.E. and Smith, J.E. 2003. Introduction to Evolutionary Computation. Natural Computing Series, Springer-Verlag Berlin Heidelberg.")]
    38   [StorableClass]
     38  [StorableType("f623874a-f886-4cce-82d1-af57904e5b6c")]
    3939  public class OrderCrossover : PermutationCrossover {
    4040    [StorableConstructor]
    … …  
    8787          if (i >= length) i = 0;
    8888        }
    89       }
    90       catch (IndexOutOfRangeException) {
     89      } catch (IndexOutOfRangeException) {
    9190        throw new InvalidOperationException("OrderCrossover: The permutation must consist of numbers in the interval [0;N) with N = length of the permutation.");
    9291      }

  • branches/PersistenceReintegration/HeuristicLab.Encodings.PermutationEncoding/3.3/Crossovers/OrderCrossover2.cs

    r14185 r14927  
    2323using HeuristicLab.Common;
    2424using HeuristicLab.Core;
    25 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     25using HeuristicLab.Persistence;
    2626
    2727namespace HeuristicLab.Encodings.PermutationEncoding {
    … …  
    3535  /// </remarks>
    3636  [Item("OrderCrossover2", "An operator which performs an order crossover of two permutations. It is implemented as described in Affenzeller, M. et al. 2009. Genetic Algorithms and Genetic Programming - Modern Concepts and Practical Applications. CRC Press. p. 135.")]
    37   [StorableClass]
     37  [StorableType("7289ff81-aa44-44f2-a87e-691b850fe7b3")]
    3838  public class OrderCrossover2 : PermutationCrossover {
    3939    [StorableConstructor]

  • branches/PersistenceReintegration/HeuristicLab.Encodings.PermutationEncoding/3.3/Crossovers/PartiallyMatchedCrossover.cs

    r14185 r14927  
    2323using HeuristicLab.Common;
    2424using HeuristicLab.Core;
    25 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     25using HeuristicLab.Persistence;
    2626
    2727namespace HeuristicLab.Encodings.PermutationEncoding {
    … …  
    3535  /// </remarks>
    3636  [Item("PartiallyMatchedCrossover", "An operator which performs the partially matched crossover on two permutations. It is implemented as described in Fogel, D.B. 1988. An Evolutionary Approach to the Traveling Salesman Problem. Biological Cybernetics, 60, pp. 139-144, Springer-Verlag.")]
    37   [StorableClass]
     37  [StorableType("44e020d0-720e-48bc-b394-acccf742944f")]
    3838  public class PartiallyMatchedCrossover : PermutationCrossover {
    3939    [StorableConstructor]
    … …  
    8181          invResult[result[j]] = j;
    8282        }
    83       }
    84       catch (IndexOutOfRangeException) {
     83      } catch (IndexOutOfRangeException) {
    8584        throw new InvalidOperationException("PartiallyMatchedCrossover: The permutation must consist of consecutive numbers from 0 to N-1 with N = length of the permutation.");
    8685      }

  • branches/PersistenceReintegration/HeuristicLab.Encodings.PermutationEncoding/3.3/Crossovers/PositionBasedCrossover.cs

    r14185 r14927  
    2323using HeuristicLab.Common;
    2424using HeuristicLab.Core;
    25 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     25using HeuristicLab.Persistence;
    2626
    2727namespace HeuristicLab.Encodings.PermutationEncoding {
    … …  
    3333  /// </remarks>
    3434  [Item("PositionBasedCrossover", "An operator which performs the position based crossover on two permutations. It is implemented as described in Syswerda, G. (1991). Schedule Optimization Using Genetic Algorithms. In Davis, L. (Ed.) Handbook of Genetic Algorithms, Van Nostrand Reinhold, New York, pp 332-349.")]
    35   [StorableClass]
     35  [StorableType("b20724af-91ac-4ece-9b52-485a0f4545ee")]
    3636  public class PositionBasedCrossover : PermutationCrossover {
    3737    [StorableConstructor]

  • branches/PersistenceReintegration/HeuristicLab.Encodings.PermutationEncoding/3.3/Crossovers/UniformLikeCrossover.cs

    r14185 r14927  
    2424using HeuristicLab.Common;
    2525using HeuristicLab.Core;
    26 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     26using HeuristicLab.Persistence;
    2727
    2828namespace HeuristicLab.Encodings.PermutationEncoding {
    2929  [Item("UniformLikeCrossover", "The ULX crossover tries to maintain the position in the permutation. It randomly chooses from left to right one of its parents' alleles at each position. Missing entries are then filled randomly later. It is described in Tate, D. M. and Smith, A. E. 1995. A genetic approach to the quadratic assignment problem. Computers & Operations Research, vol. 22, pp. 73-83.")]
    30   [StorableClass]
     30  [StorableType("bf3dfe68-19b8-4a98-aecf-254cf72e5dc9")]
    3131  public sealed class UniformLikeCrossover : PermutationCrossover {
    3232    [StorableConstructor]
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