Open Access
ARTICLE
African Buffalo Optimization Algorithm for Collision-Avoidance in Electric Fish
Julius Beneoluchi Odili1,*, A. Noraziah2, Mohd Helmy Abd Wahab3
1 Department of Mathematical Sciences, Faculty of Natural and Applied Sciences, Anchor University, Lagos
2 Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang, Kuantan, Malaysia
2 Centre of Excellence, Universiti Malaysia Pahang, Kuantan 26300, Malaysia
3 Faculty of Electrical and Electrical Engineering, Universiti Tun Hussein Onn Malaysia
* Corresponding Author: Julius Beneoluchi Odili,
Intelligent Automation & Soft Computing 2020, 26(1), 41-51. https://doi.org/10.31209/2018.100000059
Abstract
This paper presents the African Buffalo Optimization algorithm for collision
avoidance among electric fishes. Collision-avoidance in electric fish finds
correlation with the Travelling Salesman avoiding the cities he has earlier
visited. Collision avoidance in electric is akin to collision-avoidance in modern
day driverless cars being promoted by Google Incorporation and other similar
companies. The concept of collision-avoidance is also very useful to persons
with visual impairment as it will help them avoid collision with objects, vehicles,
persons, especially other visually-impaired. After a number of experimental
procedures using the concept of the travelling salesman’s problem to simulate
collision-avoidance in electric fish, this study concludes that the African Buffalo
Optimization is a veritable tool for simulating collision-avoidance in electric
fishes.
Keywords
Cite This Article
J. B. Odili, A. Noraziah and M. H. A. Wahab, "African buffalo optimization algorithm for collision-avoidance in electric fish,"
Intelligent Automation & Soft Computing, vol. 26, no.1, pp. 41–51, 2020. https://doi.org/10.31209/2018.100000059