Grail.Evolution.EAOptimizer Class Reference

Collaboration diagram for Grail.Evolution.EAOptimizer:

Public Member Functions
	EAOptimizer (List< EvoScript > initialPopulation, Arena arenaEvaluation, Mutation mutation=null, Crossover crossover=null, Selection selection=null)
	The EA algorithm will maintain the size of the initial population after the selection phase. More...
void	Run (int maxEpochCount=1)
List< EvoScript >	GetPopulation ()
EvoScript	GetBestIndividual ()
float	CalculatePopulationAverageDiversity ()
int	CalculatePopulationIdenticalFrontCount ()

Public Attributes
int	PopulationSize => corePopulation.Count

Protected Attributes
Random	random = new Random()
List< EvoScript >	corePopulation
List< EvoScript >	tempPopulation
int	epochNumber = 0
int	populationSize = 0
Mutation	mutation = null
Crossover	crossover = null
Arena	arenaEvaluation = null
Selection	selection = null

Properties
double	ElitismRate = 0.2 [get, set]
	Percent of most fit individuals in a population that will be considered for the next population without any change. More...
ElitismType	ElitismType = ElitismType.NONE [get, set]

Constructor & Destructor Documentation

EAOptimizer()

Grail.Evolution.EAOptimizer.EAOptimizer ( List< EvoScript >  initialPopulation, Arena  arenaEvaluation, Mutation  mutation = null, Crossover  crossover = null, Selection  selection = null  )

inline

The EA algorithm will maintain the size of the initial population after the selection phase.

Parameters

initialPopulation	Initial population to the EA algorithm.
arenaEvaluation
mutation
crossover
selection

Property Documentation

ElitismRate

double Grail.Evolution.EAOptimizer.ElitismRate = 0.2

getset

Percent of most fit individuals in a population that will be considered for the next population without any change.

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The documentation for this class was generated from the following file:

• GrailEvolution/source/EAOptimizer.cs