The properties of the GenerationalGA class are listed below. For a complete list of GenerationalGA class members, see the GenerationalGA Members topic.
Public Instance Properties
 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. |
See Also
GenerationalGA Class | AnticipatingMinds.ArtificialMind.GeneticAlgorithms Namespace