The methods of the GenerationalGA class are listed below. For a complete list of GenerationalGA class members, see the GenerationalGA Members topic.
Equals (inherited from Object) | Determines whether the specified Object is equal to the current Object. |
Evolve (inherited from GeneticAlgorithm) | Overloaded. Start searching for problem solution. |
GetHashCode (inherited from Object) | Serves as a hash function for a particular type, suitable for use in hashing algorithms and data structures like a hash table. |
GetType (inherited from Object) | Gets the Type of the current instance. |
ToString (inherited from Object) | Returns a String that represents the current Object. |
EvaluatePopulation | Evaluates population. Assigns array of evalutaion and fittnes properties for population. |
Finalize (inherited from Object) | Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection. |
FindSolution | The GA implementation overrides this method to find the solution in current population. |
MemberwiseClone (inherited from Object) | Creates a shallow copy of the current Object. |
OnNewGeneration (inherited from GeneticAlgorithm) | Raises the NewGeneration event. |
OnSolutionFound (inherited from GeneticAlgorithm) | Raises the SolutionFound event. |
PerformCrossover | Selects individuals from currentPopulation and adds their children to intermediatePopulation until intermediatePopulation size becomes equal currentPopulation size. |
PerformMutation | Performs mutations on members of intermediatePopulation. After that step intermediatePopulation becomes current population. |
PerformSelection | Selects individuals from currentPopulation and adds their clones to intermediatePopulation. |
GenerationalGA Class | AnticipatingMinds.ArtificialMind.GeneticAlgorithms Namespace