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HeuristicLab.Encodings.RealVectorEncoding

Timestamp:

02/07/15 13:52:48 (9 years ago)

Author:

abeham

Message:

#2174:

Added ISingleObjectiveOperator and IMultiObjectiveOperator interfaces
- Added interface to all operators that would fall in either of these categories (excluding MainLoop operators)
Added some checks in BasicProblem on whether the MultiEncoding is being used
- A new event handler is added that reacts on encodings being removed or added to the MultiEncoding
Added code to remove the non-fit operators in (Single|Multi)ObjectiveBasicProblem

Location:

trunk/sources/HeuristicLab.Encodings.RealVectorEncoding/3.3

Files:

-                      r11171
+                      r11970
 using HeuristicLab.Core;
 using HeuristicLab.Data;
+using HeuristicLab.Optimization;
 using HeuristicLab.Parameters;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
 …
   [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.")]
   [StorableClass]
   public class BlendAlphaBetaCrossover : RealVectorCrossover {
+  public class BlendAlphaBetaCrossover : RealVectorCrossover, ISingleObjectiveOperator {
     /// <summary>
     /// Whether the problem is a maximization or minimization problem.

-                      r11171
+                      r11970
 using HeuristicLab.Core;
 using HeuristicLab.Data;
+using HeuristicLab.Optimization;
 using HeuristicLab.Parameters;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
 …
   [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.")]
   [StorableClass]
   public class HeuristicCrossover : RealVectorCrossover {
+  public class HeuristicCrossover : RealVectorCrossover, ISingleObjectiveOperator {
     /// <summary>
     /// Whether the problem is a maximization or minimization problem.

r11171	r11970
31	31	[Item("AdditiveMoveMaker", "Peforms an additive move on a given real vector and updates the quality.")]
32	32	[StorableClass]
33		public class AdditiveMoveMaker : SingleSuccessorOperator, IAdditiveRealVectorMoveOperator, IMoveMaker {
	33	public class AdditiveMoveMaker : SingleSuccessorOperator, IAdditiveRealVectorMoveOperator, IMoveMaker, ISingleObjectiveOperator {
34	34	public override bool CanChangeName {
35	35	get { return false; }

-                      r11171
+                      r11970
   [Item("RealVectorSwarmUpdater", "Updates personal best point and quality as well as global best point and quality.")]
   [StorableClass]
   public sealed class RealVectorSwarmUpdater : SingleSuccessorOperator, IRealVectorSwarmUpdater {
+  public sealed class RealVectorSwarmUpdater : SingleSuccessorOperator, IRealVectorSwarmUpdater, ISingleObjectiveOperator {
     [Storable]
 …
     void VelocityBoundsStartValueParameter_Value_ValueChanged(object sender, EventArgs e) {
       UpdateVelocityBoundsParamater();
+      UpdateVelocityBoundsParamater();
+    }
 …
         VelocityBoundsStartValueParameter.Value.ValueChanged += new EventHandler(VelocityBoundsStartValueParameter_Value_ValueChanged);
+      }
       UpdateVelocityBoundsParamater();
+      UpdateVelocityBoundsParamater();
+    }

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