A Global African Buffalo Optimization

Azrag, M. A. K. and Tuty Asmawaty, Abdul Kadir and Odili, Julius Beneoluchi and Essam, M. H. A. (2017) A Global African Buffalo Optimization. International Journal of Software Engineering & Computer Sciences (IJSECS), 3. pp. 138-145. ISSN 2289-8522. (Published)

fskkp-2017-odili-A Global African Buffalo Optimization.pdf
Available under License Creative Commons Attribution.

Download (916kB) | Preview


In this paper, a modified version of the African Buffalo Optimization algorithm with emphasis on global search is proposed. Two different equations with the values of their upper and lower boundaries are selected to be tested. The experimental result illustrates the difference in performance between the modified and the original ABO algorithm toward the optimum solution. At the end of all experimental procedures, it was observed that the Global African Buffalo Optimization (GABO) converges very quickly towards the optimal solution with a few buffalos. However, the experimental result show that GABO convergence still needs improvement as it tends to have unpromising convergence towards the end of a large iteration. In any case, GABO is a promising optimization method.

Item Type: Article
Uncontrolled Keywords: African Buffalo Optimization, Global African Buffalo Optimization, Convergence Speed, Sphere Function, Rosenbrock Function
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Noorul Farina Arifin
Date Deposited: 25 Aug 2016 05:55
Last Modified: 25 Apr 2018 06:59
URI: http://umpir.ump.edu.my/id/eprint/14173
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item