Changeset 14927 for branches/PersistenceReintegration/HeuristicLab.Encodings.BinaryVectorEncoding/3.3/Crossovers

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.BinaryVectorEncoding/3.3/Crossovers

Files:

• MultiBinaryVectorCrossover.cs (modified) (1 diff)
• NPointCrossover.cs (modified) (2 diffs)
• SinglePointCrossover.cs (modified) (2 diffs)
• UniformCrossover.cs (modified) (2 diffs)

branches/PersistenceReintegration/HeuristicLab.Encodings.BinaryVectorEncoding/3.3/Crossovers/MultiBinaryVectorCrossover.cs

@@ -28 +28 @@
 using HeuristicLab.Optimization;
 using HeuristicLab.Parameters;
-using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 using HeuristicLab.PluginInfrastructure;
 
 namespace HeuristicLab.Encodings.BinaryVectorEncoding {
   [Item("MultiBinaryVectorCrossover", "Randomly selects and applies one of its crossovers every time it is called.")]
-  [StorableClass]
+  [StorableType("b56412e3-c038-4043-8106-1bfc446fbc7d")]
   public class MultiBinaryVectorCrossover : StochasticMultiBranch<IBinaryVectorCrossover>, IBinaryVectorCrossover, IStochasticOperator {
     public override bool CanChangeName {

branches/PersistenceReintegration/HeuristicLab.Encodings.BinaryVectorEncoding/3.3/Crossovers/NPointCrossover.cs

@@ -26 +26 @@
 using HeuristicLab.Data;
 using HeuristicLab.Parameters;
-using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 
 namespace HeuristicLab.Encodings.BinaryVectorEncoding {
@@ -36 +36 @@
   /// </remarks>
   [Item("NPointCrossover", "N point crossover for binary vectors. 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.")]
-  [StorableClass]
+  [StorableType("5bfc67a1-2fbd-4544-b9b0-95666474d8f0")]
   public sealed class NPointCrossover : BinaryVectorCrossover {
     /// <summary>

branches/PersistenceReintegration/HeuristicLab.Encodings.BinaryVectorEncoding/3.3/Crossovers/SinglePointCrossover.cs

@@ -24 +24 @@
 using HeuristicLab.Core;
 using HeuristicLab.Data;
-using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 
 namespace HeuristicLab.Encodings.BinaryVectorEncoding {
@@ -34 +34 @@
   /// </remarks>
   [Item("SinglePointCrossover", "Single point crossover for binary vectors. It is implemented based on the NPointCrossover.")]
-  [StorableClass]
+  [StorableType("b0a0bd2a-2bc7-482e-a29e-3e81910bad73")]
   public sealed class SinglePointCrossover : BinaryVectorCrossover {
 

branches/PersistenceReintegration/HeuristicLab.Encodings.BinaryVectorEncoding/3.3/Crossovers/UniformCrossover.cs

@@ -23 +23 @@
 using HeuristicLab.Common;
 using HeuristicLab.Core;
-using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 
 namespace HeuristicLab.Encodings.BinaryVectorEncoding {
@@ -33 +33 @@
   /// </remarks>
   [Item("UniformCrossover", "Uniform crossover for binary vectors. 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.")]
-  [StorableClass]
+  [StorableType("f2971cd0-9df5-43a0-a0e5-67aaeaa84413")]
   public sealed class UniformCrossover : BinaryVectorCrossover {