Odili, Julius Beneoluchi and Noraziah, Ahmad and Mohd Helmy, Abd Wahab (2020) African Buffalo Optimization Algorithm for Collision-Avoidance in Electric Fish. Intelligent Automation and Soft Computing, 26 (1). pp. 41-51. ISSN 1079-8587. (Published)
|
Pdf
African Buffalo Optimization Algorithm for Collision1.pdf Download (90kB) | Preview |
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | African buffalo optimization, Collision-avoidance, Computational intelligence, Electric fish, Neuroscience, Travelling salesman's problems |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Faculty/Division: | Faculty of Computer System And Software Engineering Institute of Postgraduate Studies |
| Depositing User: | PM Dr. Noraziah Ahmad |
| Date Deposited: | 24 Mar 2020 00:44 |
| Last Modified: | 29 Jun 2020 01:58 |
| URI: | http://umpir.ump.edu.my/id/eprint/27153 |
| Download Statistic: | View Download Statistics |
Actions (login required)
 |
View Item |