RouletteSelectionT Class |
Roulette selection chooses parents by simulating a roulette wheel, in which
the area of the section of the wheel corresponding to an individual is proportional
to the individual's scaled fitness. The algorithm uses a random number to select one of
the sections with a probability equal to its area.
Inheritance HierarchySystemObject
FinMath.MachineLearning.EvolutionaryAlgorithmsSelectionAlgorithmT
FinMath.MachineLearning.EvolutionaryAlgorithmsRouletteSelectionT
FinMath.MachineLearning.EvolutionaryAlgorithmsSelectionAlgorithmT
FinMath.MachineLearning.EvolutionaryAlgorithmsRouletteSelectionT
Namespace: FinMath.MachineLearning.EvolutionaryAlgorithms
Assembly: FinMath (in FinMath.dll) Version: 2.4.7-0a995bd0ea1854c2c868ec3f8dae606c5777e170
SyntaxThe RouletteSelectionT type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | RouletteSelectionT |
Constructor.
|
Methods| Name | Description | |
|---|---|---|
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) |
| GetHashCode | Serves as the default hash function. (Inherited from Object.) |
| GetType | Gets the Type of the current instance. (Inherited from Object.) |
| NewGeneration |
This method is called by genetic algorithm one time per generation before selection occurs.
(Overrides SelectionAlgorithmTNewGeneration(T, Double, Int32).) |
| Select |
This method is called each time genetic algorithm needs a parent for crossover.
(Overrides SelectionAlgorithmTSelect.) |
| Select(T, T) |
This method is called each time genetic algorithm needs two parents for crossover.
This method calls Select() two times by default.
(Inherited from SelectionAlgorithmT.) |
| ToString | Returns a string that represents the current object. (Inherited from Object.) |
See Also