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Ignore:
Timestamp:
06/09/10 12:18:43 (14 years ago)
Author:
abeham
Message:

#1035

  • Improved some other descriptions too
Location:
trunk/sources/HeuristicLab.Encodings.RealVectorEncoding/3.3/Crossovers
Files:
3 edited

Legend:

Unmodified
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  • trunk/sources/HeuristicLab.Encodings.RealVectorEncoding/3.3/Crossovers/BlendAlphaCrossover.cs

    r3376 r3909  
    5454    public BlendAlphaCrossover()
    5555      : base() {
    56       Parameters.Add(new ValueLookupParameter<DoubleValue>("Alpha", "Value for alpha", new DoubleValue(0.5)));
     56      Parameters.Add(new ValueLookupParameter<DoubleValue>("Alpha", "The Alpha parameter controls the extension of the range beyond the two parents. It must be >= 0. A value of 0.5 means that half the range is added to both sides of the intervals.", new DoubleValue(0.5)));
    5757    }
    5858
  • trunk/sources/HeuristicLab.Encodings.RealVectorEncoding/3.3/Crossovers/UniformAllPositionsArithmeticCrossover.cs

    r3376 r3909  
    3535  /// It is implemented as described in Michalewicz, Z. 1999. Genetic Algorithms + Data Structures = Evolution Programs. Third, Revised and Extended Edition, Spring-Verlag Berlin Heidelberg.
    3636  /// </remarks>
    37   [Item("UniformAllPositionsArithmeticCrossover", "The uniform all positions arithmetic crossover constructs an offspring by calculating x = alpha * p1 + (1-alpha) * p2 for every position x in the vector. Note that for alpha = 0.5 it is the same as the AverageCrossover. It is implemented as described in Michalewicz, Z. 1999. Genetic Algorithms + Data Structures = Evolution Programs. Third, Revised and Extended Edition, Spring-Verlag Berlin Heidelberg.")]
     37  [Item("UniformAllPositionsArithmeticCrossover", "The uniform all positions arithmetic crossover constructs an offspring by calculating x = alpha * p1 + (1-alpha) * p2 for every position x in the vector. Note that for alpha = 0.5 it is the same as the AverageCrossover (except that the AverageCrossover is defined for more than 2 parents). It is implemented as described in Michalewicz, Z. 1999. Genetic Algorithms + Data Structures = Evolution Programs. Third, Revised and Extended Edition, Spring-Verlag Berlin Heidelberg.")]
    3838  [StorableClass]
    3939  public class UniformAllPositionsArithmeticCrossover : RealVectorCrossover {
  • trunk/sources/HeuristicLab.Encodings.RealVectorEncoding/3.3/Crossovers/UniformSomePositionsArithmeticCrossover.cs

    r3376 r3909  
    5656    public UniformSomePositionsArithmeticCrossover()
    5757      : base() {
    58       Parameters.Add(new ValueLookupParameter<DoubleValue>("Alpha", "The alpha value in the range [0;1]", new DoubleValue(0.5)));
     58      Parameters.Add(new ValueLookupParameter<DoubleValue>("Alpha", "The alpha value in the range [0;1] that defines whether the point should be close to parent1 (=1) or parent2 (=0)", new DoubleValue(0.5)));
    5959      Parameters.Add(new ValueLookupParameter<DoubleValue>("Probability", "The probability for crossing a position in the range [0;1]", new DoubleValue(0.5)));
    6060    }
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