optimizer_woa: Whale Optimization Algorithm Optimizer

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

Whale Optimization Algorithm Optimizer

Description

Creates a Whale Optimization Algorithm optimizer object for continuous optimization problems.

Usage

optimizer_woa(pop_size = 30, max_iter = 100, a_start = 2, a_end = 0, b = 1)

Arguments

pop_size	Population size.
max_iter	Maximum number of iterations.
a_start	Initial value of the control parameter a.
a_end	Final value of the control parameter a.
b	Constant defining the spiral shape in the bubble-net mechanism.

Value

An object of class "met_optimizer".

References

Mirjalili, S., and Lewis, A. (2016). The Whale Optimization Algorithm. Advances in Engineering Software, 95, 51–67. doi:10.1016/j.advengsoft.2016.01.008

Examples

optimizer_woa()

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