TournamentSelection<T> Class |
Tournament selection chooses each parent by choosing tournamentSize individual at random and then
choosing the best individual out of that set to be a parent.
Inheritance HierarchySystem.Object
FinMath.MachineLearning.EvolutionaryAlgorithms.SelectionAlgorithm<T>
FinMath.MachineLearning.EvolutionaryAlgorithms.TournamentSelection<T>
FinMath.MachineLearning.EvolutionaryAlgorithms.SelectionAlgorithm<T>
FinMath.MachineLearning.EvolutionaryAlgorithms.TournamentSelection<T>
Namespace: FinMath.MachineLearning.EvolutionaryAlgorithms
Assembly: FinMath (in FinMath.dll) Version: 2.4.7-0a995bd0ea1854c2c868ec3f8dae606c5777e170
SyntaxC#
public class TournamentSelection<T> : SelectionAlgorithm<T>
Type Parameters
- T
- Individual's type.
The TournamentSelection<T> type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | TournamentSelection<T> |
Constructs selection algorithm.
|
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 SelectionAlgorithm<T>.NewGeneration(T[],Double[], Int32).) |
| Select() |
This method is called each time genetic algorithm needs a parent for crossover.
(Overrides SelectionAlgorithm<T>.Select().) |
| 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 SelectionAlgorithm<T>.) |
| ToString | Returns a string that represents the current object. (Inherited from Object.) |
See Also