GenerationalGA Constructor | Initializes a new instance of the GenerationalGA class. |
BestPopulationsHistorySize (inherited from GeneticAlgorithm) | Specifies the number of best populations to keep. |
GenerationNumber (inherited from GeneticAlgorithm) | Current generation number. |
KinFitnessDecrease | The value from 0 to 1 that used to decrease fittness of identical members of the population (all the kins). |
MutationRate | A chance of individual to mutate. |
OptimizationType (inherited from GeneticAlgorithm) | Specifies desired optimization type for the problem. |
SelectionType | Selection type to use int the algorithm. |
TargetEvaluation | A desired value of evaluation function. |
TargetEvaluationTolerance | A tollerance for desired value. The Gene with evaluation value equals TargetEvaluation+- tollerance considered to be a solution. |
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. |
NewGeneration (inherited from GeneticAlgorithm) | Ocures when new generation has been born and evaluated. |
SolutionFound (inherited from GeneticAlgorithm) | Ocures when the problem solution has been found. |
bestPopulations (inherited from GeneticAlgorithm) | holds an array of nest populations. |
bestSolutionsHistorySize (inherited from GeneticAlgorithm) | specifies the length (size) of the best population history. |
currentGenerationNumber (inherited from GeneticAlgorithm) | holds current generation number. |
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