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Ignore:
Timestamp:
05/04/17 17:19:35 (7 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.Problems.VehicleRouting/3.4/Encodings/Zhu
Files:
9 edited

Legend:

Unmodified
Added
Removed
  • branches/PersistenceReintegration/HeuristicLab.Problems.VehicleRouting/3.4/Encodings/Zhu/Crossovers/ZhuCrossover.cs

    r14185 r14927  
    2424using HeuristicLab.Optimization;
    2525using HeuristicLab.Parameters;
    26 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     26using HeuristicLab.Persistence;
    2727using HeuristicLab.Problems.VehicleRouting.Encodings.General;
    2828using HeuristicLab.Problems.VehicleRouting.Interfaces;
     
    3030namespace HeuristicLab.Problems.VehicleRouting.Encodings.Zhu {
    3131  [Item("ZhuCrossover", "An operator which crosses two VRP representations.")]
    32   [StorableClass]
     32  [StorableType("cb014562-11fc-445b-93d3-3fd777e848de")]
    3333  public abstract class ZhuCrossover : VRPCrossover, IStochasticOperator, IZhuOperator {
    3434    public ILookupParameter<IRandom> RandomParameter {
  • branches/PersistenceReintegration/HeuristicLab.Problems.VehicleRouting/3.4/Encodings/Zhu/Crossovers/ZhuHeuristicCrossover1.cs

    r14185 r14927  
    2222using HeuristicLab.Common;
    2323using HeuristicLab.Core;
    24 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     24using HeuristicLab.Persistence;
    2525
    2626namespace HeuristicLab.Problems.VehicleRouting.Encodings.Zhu {
    2727  [Item("ZhuHeuristicCrossover1", "The Zhu Heuristic Crossover (Version 1). It is implemented as described in Zhu, K.Q. (2000). A New Genetic Algorithm For VRPTW. Proceedings of the International Conference on Artificial Intelligence.")]
    28   [StorableClass]
     28  [StorableType("0f543947-d2d9-4273-8354-a0ad62c12455")]
    2929  public sealed class ZhuHeuristicCrossover1 : ZhuCrossover {
    3030    [StorableConstructor]
  • branches/PersistenceReintegration/HeuristicLab.Problems.VehicleRouting/3.4/Encodings/Zhu/Crossovers/ZhuHeuristicCrossover2.cs

    r14185 r14927  
    2323using HeuristicLab.Common;
    2424using HeuristicLab.Core;
    25 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     25using HeuristicLab.Persistence;
    2626
    2727namespace HeuristicLab.Problems.VehicleRouting.Encodings.Zhu {
    2828  [Item("ZhuHeuristicCrossover2", "The Zhu Heuristic Crossover (Version 2). It is implemented as described in Zhu, K.Q. (2000). A New Genetic Algorithm For VRPTW. Proceedings of the International Conference on Artificial Intelligence.")]
    29   [StorableClass]
     29  [StorableType("aa483a1e-8d1a-4c24-8a79-23ecd50c0c59")]
    3030  public sealed class ZhuHeuristicCrossover2 : ZhuCrossover {
    3131    [StorableConstructor]
  • branches/PersistenceReintegration/HeuristicLab.Problems.VehicleRouting/3.4/Encodings/Zhu/Crossovers/ZhuMergeCrossover1.cs

    r14185 r14927  
    2323using HeuristicLab.Core;
    2424using HeuristicLab.Data;
    25 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     25using HeuristicLab.Persistence;
    2626using HeuristicLab.Problems.VehicleRouting.Variants;
    2727
    2828namespace HeuristicLab.Problems.VehicleRouting.Encodings.Zhu {
    2929  [Item("ZhuMergeCrossover1", "The Zhu Merge Crossover (Version 1). It is implemented as described in Zhu, K.Q. (2000). A New Genetic Algorithm For VRPTW. Proceedings of the International Conference on Artificial Intelligence.")]
    30   [StorableClass]
     30  [StorableType("60c90087-1a7b-4aaf-a67c-3b4ca0d9b6fa")]
    3131  public sealed class ZhuMergeCrossover1 : ZhuCrossover {
    3232    [StorableConstructor]
  • branches/PersistenceReintegration/HeuristicLab.Problems.VehicleRouting/3.4/Encodings/Zhu/Crossovers/ZhuMergeCrossover2.cs

    r14185 r14927  
    2424using HeuristicLab.Core;
    2525using HeuristicLab.Data;
    26 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     26using HeuristicLab.Persistence;
    2727using HeuristicLab.Problems.VehicleRouting.Variants;
    2828
    2929namespace HeuristicLab.Problems.VehicleRouting.Encodings.Zhu {
    3030  [Item("ZhuMergeCrossover2", "The Zhu Merge Crossover (Version 2).  It is implemented as described in Zhu, K.Q. (2000). A New Genetic Algorithm For VRPTW. Proceedings of the International Conference on Artificial Intelligence.")]
    31   [StorableClass]
     31  [StorableType("52907a7d-e6e7-415d-86d5-737408aefae0")]
    3232  public sealed class ZhuMergeCrossover2 : ZhuCrossover {
    3333    [StorableConstructor]
  • branches/PersistenceReintegration/HeuristicLab.Problems.VehicleRouting/3.4/Encodings/Zhu/Crossovers/ZhuPermutationCrossover.cs

    r14185 r14927  
    2424using HeuristicLab.Encodings.PermutationEncoding;
    2525using HeuristicLab.Parameters;
    26 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     26using HeuristicLab.Persistence;
    2727
    2828namespace HeuristicLab.Problems.VehicleRouting.Encodings.Zhu {
    2929  [Item("ZhuPermutationCrossover", "An operator which crosses two VRP representations using a standard permutation operator. It is implemented as described in Zhu, K.Q. (2000). A New Genetic Algorithm For VRPTW. Proceedings of the International Conference on Artificial Intelligence.")]
    30   [StorableClass]
     30  [StorableType("f4767fd7-2b62-4ab5-868d-435c4794784e")]
    3131  public sealed class PrinsPermutationCrossover : ZhuCrossover {
    3232    public IValueLookupParameter<IPermutationCrossover> InnerCrossoverParameter {
  • branches/PersistenceReintegration/HeuristicLab.Problems.VehicleRouting/3.4/Encodings/Zhu/Manipulators/ZhuManipulator.cs

    r14185 r14927  
    2424using HeuristicLab.Optimization;
    2525using HeuristicLab.Parameters;
    26 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     26using HeuristicLab.Persistence;
    2727using HeuristicLab.Problems.VehicleRouting.Encodings.General;
    2828using HeuristicLab.Problems.VehicleRouting.Interfaces;
     
    3030namespace HeuristicLab.Problems.VehicleRouting.Encodings.Zhu {
    3131  [Item("ZhuManipulator", "An operator which manipulates a VRP representation.")]
    32   [StorableClass]
     32  [StorableType("4731a243-6371-4f2e-8e7d-80e6326d8288")]
    3333  public abstract class ZhuManipulator : VRPManipulator, IStochasticOperator, IZhuOperator {
    3434    public ILookupParameter<IRandom> RandomParameter {
  • branches/PersistenceReintegration/HeuristicLab.Problems.VehicleRouting/3.4/Encodings/Zhu/Manipulators/ZhuPermutationManipulator.cs

    r14185 r14927  
    2424using HeuristicLab.Encodings.PermutationEncoding;
    2525using HeuristicLab.Parameters;
    26 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     26using HeuristicLab.Persistence;
    2727
    2828namespace HeuristicLab.Problems.VehicleRouting.Encodings.Zhu {
    2929  [Item("ZhuPermutationManipulator", "An operator which manipulates a VRP representation by using a standard permutation manipulator. It is implemented as described in Zhu, K.Q. (2000). A New Genetic Algorithm For VRPTW. Proceedings of the International Conference on Artificial Intelligence.")]
    30   [StorableClass]
     30  [StorableType("61ef09bd-a6b7-427d-bf5b-4ca1ea8a0e33")]
    3131  public sealed class ZhuPermutationManipulator : ZhuManipulator {
    3232    public IValueLookupParameter<IPermutationManipulator> InnerManipulatorParameter {
  • branches/PersistenceReintegration/HeuristicLab.Problems.VehicleRouting/3.4/Encodings/Zhu/ZhuEncoding.cs

    r14185 r14927  
    2525using HeuristicLab.Core;
    2626using HeuristicLab.Encodings.PermutationEncoding;
    27 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     27using HeuristicLab.Persistence;
    2828using HeuristicLab.Problems.VehicleRouting.Interfaces;
    2929
    3030namespace HeuristicLab.Problems.VehicleRouting.Encodings.Zhu {
    3131  [Item("ZhuEncoding", "Represents a Zhu encoding of VRP solutions. It is implemented as described in Zhu, K.Q. (2000). A New Genetic Algorithm For VRPTW. Proceedings of the International Conference on Artificial Intelligence.")]
    32   [StorableClass]
     32  [StorableType("dc60533b-3b07-4c10-b251-c62991d7ff02")]
    3333  public class ZhuEncoding : General.PermutationEncoding {
    3434    #region IVRPEncoding Members
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