Changeset 2996 for trunk/sources/HeuristicLab.Encodings.RealVector/3.3

Timestamp:

03/11/10 01:48:15 (15 years ago)

Author:

abeham

Message:

Updated StorableClass attribute on several more classes #548

Location:

trunk/sources/HeuristicLab.Encodings.RealVector/3.3

Files:

• Crossovers/UniformSomePositionsArithmeticCrossover.cs (modified) (1 diff)
• Manipulators/BreederGeneticAlgorithmManipulator.cs (modified) (1 diff)

trunk/sources/HeuristicLab.Encodings.RealVector/3.3/Crossovers/UniformSomePositionsArithmeticCrossover.cs

@@ -35 +35 @@
   /// </remarks>
   [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.")]
-  class UniformSomePositionsArithmeticCrossover : RealVectorCrossover {
+  [StorableClass(StorableClassType.Empty)]
+  public class UniformSomePositionsArithmeticCrossover : RealVectorCrossover {
     /// <summary>
     /// The alpha parameter needs to be in the interval [0;1] and specifies how close the resulting offspring should be either to parent1 (alpha -> 0) or parent2 (alpha -> 1).

trunk/sources/HeuristicLab.Encodings.RealVector/3.3/Manipulators/BreederGeneticAlgorithmManipulator.cs

@@ -35 +35 @@
   /// </remarks>
   [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.")]
+  [StorableClass(StorableClassType.Empty)]
   public class BreederGeneticAlgorithmManipulator : RealVectorManipulator {
     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 };