config_gwo: Configuration object for the Grey Wolf Optimizer Algorithm

In EmiR: Evolutionary Minimizer for R

Configuration object for the Grey Wolf Optimizer Algorithm

Description

Create a configuration object for the Grey Wolf Optimizer Algorithm (GWO). At minimum the number of iterations (parameter iterations) and the number of wolves (parameter population_size) have to be provided.

Usage

config_gwo(
  iterations,
  population_size,
  iterations_same_cost = NULL,
  absolute_tol = NULL
)

Arguments

iterations	maximum number of iterations.
population_size	number of wolves.
iterations_same_cost	maximum number of consecutive iterations with the same (see the parameter absolute_tol) best cost before ending the minimization. If NULL the minimization continues for the number of iterations specified by the parameter iterations. Default is NULL.
absolute_tol	absolute tolerance when comparing best costs from consecutive iterations. If NULL the machine epsilon is used. Default is NULL.

Value

config_gwo returns an object of class GWOConfig.

References

\insertRef

Mirjalili2014EmiR

Examples

conf <- config_gwo(iterations = 100, population_size = 50, iterations_same_cost = NULL,
absolute_tol = NULL)

EmiR documentation built on Dec. 10, 2022, 1:12 a.m.