- Timestamp:
- 02/07/15 13:52:48 (10 years ago)
- Location:
- trunk/sources/HeuristicLab.Encodings.IntegerVectorEncoding/3.3/Crossovers
- Files:
-
- 2 edited
Legend:
- Unmodified
- Added
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-
trunk/sources/HeuristicLab.Encodings.IntegerVectorEncoding/3.3/Crossovers/RoundedBlendAlphaBetaCrossover.cs
r11171 r11970 24 24 using HeuristicLab.Core; 25 25 using HeuristicLab.Data; 26 using HeuristicLab.Optimization; 26 27 using HeuristicLab.Parameters; 27 28 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; … … 37 38 [Item("RoundedBlendAlphaBetaCrossover", "The rounded blend alpha beta crossover (BLX-a-b) for integer 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 and rounded to the next feasible integer.")] 38 39 [StorableClass] 39 public class RoundedBlendAlphaBetaCrossover : BoundedIntegerVectorCrossover {40 public class RoundedBlendAlphaBetaCrossover : BoundedIntegerVectorCrossover, ISingleObjectiveOperator { 40 41 /// <summary> 41 42 /// Whether the problem is a maximization or minimization problem. -
trunk/sources/HeuristicLab.Encodings.IntegerVectorEncoding/3.3/Crossovers/RoundedHeuristicCrossover.cs
r11171 r11970 24 24 using HeuristicLab.Core; 25 25 using HeuristicLab.Data; 26 using HeuristicLab.Optimization; 26 27 using HeuristicLab.Parameters; 27 28 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; … … 35 36 [Item("RoundedHeuristicCrossover", "The heuristic crossover produces offspring that extend the better parent in direction from the worse to the better parent.")] 36 37 [StorableClass] 37 public class RoundedHeuristicCrossover : BoundedIntegerVectorCrossover {38 public class RoundedHeuristicCrossover : BoundedIntegerVectorCrossover, ISingleObjectiveOperator { 38 39 /// <summary> 39 40 /// Whether the problem is a maximization or minimization problem.
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