Public Member Functions
	EAOptimizer (std::vector< std::unique_ptr< EvoScript >> &initialPopulation, std::unique_ptr< Arena > arenaEvaluation, std::unique_ptr< Crossover > crossover=std::make_unique< Crossover >(), std::unique_ptr< Mutation > mutation=std::make_unique< Mutation >(), std::unique_ptr< Selection > selection=std::make_unique< Selection >(), std::mt19937_64::result_type seed=std::random_device{}())
	The EA algorithm will maintain the size of the initial population after the selection phase. More...

size_t	PopulationSize () const

void	Run (int maxEpochCount=1)

void	SetElitism (double rate, ElitismType type)

float	CalculatePopulationDiversity () const

size_t	CalculatePopulationIdenticalFront () const

EvoScript &	GetBestIndividual () const

void	SetOnEpochEndedCallback (std::function< void(EAOptimizer &eaOptimizer)> function)

Crossover &	GetCrossover () const

Mutation &	GetMutation () const

Friends
std::ostream &	operator<< (std::ostream &out, const EAOptimizer &eaOptimizer)

Constructor & Destructor Documentation

◆ EAOptimizer()

grail::evolution::EAOptimizer::EAOptimizer	(	std::vector< std::unique_ptr< EvoScript >> &	initialPopulation,
		std::unique_ptr< Arena >	arenaEvaluation,
		std::unique_ptr< Crossover >	crossover = `std::make_unique<Crossover>()`,
		std::unique_ptr< Mutation >	mutation = `std::make_unique<Mutation>()`,
		std::unique_ptr< Selection >	selection = `std::make_unique<Selection>()`,
		std::mt19937_64::result_type	seed = `std::random_device{}()`
	)

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

float grail::evolution::EAOptimizer::CalculatePopulationDiversity ( ) const

Returns the diversity ratio as a number [0,1]. The lower the value, the population is more homogeneous

size_t grail::evolution::EAOptimizer::CalculatePopulationIdenticalFront ( ) const

Finds the most frequent individuals (which are identical to each other) and returns the number of them.

void grail::evolution::EAOptimizer::Run ( int maxEpochCount = 1 )

Runs the EA algorithm for a given number of evolutionary epochs. The main method of the algorithm.

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