config_mfo {EmiR}

Configuration object for the Moth-flame Optimization Algorithm

Description

Create a configuration object for the Moth-flame Optimization Algorithm (MFO). At minimum the number of iterations (parameter iterations) and the number of moths (parameter population_size) have to be provided.

Usage

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

Arguments

iterations

maximum number of iterations.

population_size

number of moths.

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_mfo returns an object of class MFOConfig.

References

Mirjalili S (2015). “Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm.” Knowledge-Based Systems, 89, 228–249. doi:10.1016/j.knosys.2015.07.006.

Examples

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