African Buffalo Optimization Algorithm for Collision-Avoidance in Electric Fish

• Main Authors: Odili, Julius Beneoluchi, Noraziah, Ahmad, Mohd Helmy, Abd Wahab
• Format: Article
• Language: English
• Published: Taylor & Francis 2020
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://umpir.ump.edu.my/id/eprint/27153/1/African%20Buffalo%20Optimization%20Algorithm%20for%20Collision1.pdf; http://umpir.ump.edu.my/id/eprint/27153/; https://doi.org/10.31209/2018.100000059; https://doi.org/10.31209/2018.100000059

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.