Configuration parameters specific to the cellular genetic algorithm. More...

Inheritance diagram for galib::CellularGAParams:

Public Attributes
bool	use_local_elitism = true
	Keeps the best individual among the current cell and its offspring.

Public Attributes inherited from galib::AlgorithmConfig
std::size_t	max_generations = 100
	Maximum number of generations to evolve.

double	mutation_rate = 0.05
	Probability of mutation occurring for each individual [0.0, 1.0].

double	crossover_rate = 0.8
	Probability of crossover between parents [0.0, 1.0].

bool	use_elitism = true
	Whether to preserve the best individual across generations.

std::size_t	threads = 1

std::size_t	num_threads = 0
	Number of OpenMP threads to use. 0 means use system default (omp_get_max_threads).

Additional Inherited Members
Public Member Functions inherited from galib::AlgorithmConfig
virtual	~AlgorithmConfig ()=default

Detailed Description

Configuration parameters specific to the cellular genetic algorithm.

Extends the common AlgorithmConfig with behaviour that controls local survivor selection inside each cell neighbourhood.

Definition at line 18 of file CellularGAParams.h.

Member Data Documentation

bool galib::CellularGAParams::use_local_elitism = true

Keeps the best individual among the current cell and its offspring.

If enabled, the current individual competes with both produced children and the fittest of the three survives into the next generation.

Definition at line 25 of file CellularGAParams.h.

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