optimizer_sboa: Secretary Bird Optimization Algorithm Optimizer

In metANN: Metaheuristic and Gradient-Based Optimization for Neural Network Training and Continuous Problems

Secretary Bird Optimization Algorithm Optimizer

Description

Creates a Secretary Bird Optimization Algorithm optimizer object for continuous optimization problems.

Usage

optimizer_sboa(pop_size = 30, max_iter = 100)

Arguments

pop_size	Population size.
max_iter	Maximum number of iterations.

Value

An object of class "met_optimizer".

References

Fu, Y., Liu, D., Chen, J., and He, L. (2024). Secretary Bird Optimization Algorithm: A New Metaheuristic for Solving Global Optimization Problems. Artificial Intelligence Review, 57, 123. doi:10.1007/s10462-024-10729-y

Dilber, B., and Ozdemir, A. F. (2026). A novel approach to training feed-forward multi-layer perceptrons with recently proposed secretary bird optimization algorithm. Neural Computing and Applications, 38(5). doi:10.1007/s00521-026-11874-x

Examples

optimizer_sboa()

metANN documentation built on May 16, 2026, 1:06 a.m.