@Article{2018.100000059,
AUTHOR = {Julius Beneoluchi Odili, A. Noraziah, Mohd Helmy Abd Wahab},
TITLE = {African Buffalo Optimization Algorithm for Collision-Avoidance in Electric  Fish},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {26},
YEAR = {2020},
NUMBER = {1},
PAGES = {41--51},
URL = {http://www.techscience.com/iasc/v26n1/39842},
ISSN = {2326-005X},
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.},
DOI = {10.31209/2018.100000059}
}