Beluga whale optimization (BWO)

Version 1.0.2 (3.71 KB) by Zhong Changting
Beluga whale optimization (BWO) algorithm is a swarm-based metaheuristic algorithm for solving optimization problems.
0.0
(0)
1.3K Downloads
Updated 10 Jun 2022

View License

Beluga whale optimization (BWO) algorithm is a swarm-based metaheuristic algorithm for solving optimization problems. BWO is inspired from the behaviors of beluga whales, consisting of three phases: exploration phase, exploitation phase, and whale fall phase. The illustrating examples of some benchmark functions are provided in this website.
Main paper: Changting Zhong, Gang Li, Zeng Meng, Beluga whale optimization: A novel nature-inspired metaheuristic algorithm, Knowledge-Based Systems, 2022, 109215. doi:10.1016/j.knosys.2022.109215

Cite As

Zhong Changting (2024). Beluga whale optimization (BWO) (https://www.mathworks.com/matlabcentral/fileexchange/112830-beluga-whale-optimization-bwo), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2018b
Compatible with any release
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Version Published Release Notes
1.0.2

update description
1.0.1

Update description
1.0.0