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Convergence Analysis of the African Buffalo Optimization Algorithm

Odili, Julius Beneoluchi and M. N. M., Kahar and Noraziah, Ahmad (2016) Convergence Analysis of the African Buffalo Optimization Algorithm. International Journal of Simulation: Systems, Science & Technology, 17 (33). 44.1-44.6. ISSN 1473-8031(Print); 1473-804x(Online)

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Abstract

This paper presents the convergence analysis of the newly-developed African Buffalo Optimization algorithm. African Buffalo Optimization is a simulation of the organizational skills of the African buffalos using two basic sounds: /waaa/ and /maaa/ as they transverse the African landscape in search of grazing pastures. The African Buffalo Optimization has proven to be quite successful since its development hence the need to examine its convergence behavior. The analysis of the convergence of Nature-inspired optimization algorithms is necessary to help researchers and practitioners understand the workings of the algorithms in the algorithms’ attempts at solutions. After a number of evaluations, this study discovered that the convergence of African Buffalo Optimization is a function of the population size, communication topology, parameter-set, landscape topology and the objective function being optimized.

Item Type: Article
Uncontrolled Keywords: African buffalo optimization; Convergence analysis; Communication topology; Landscape topology; Objective function
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Centre of Excellence: IBM Centre of Excellence
Faculty of Computer System And Software Engineering
Depositing User: PM Dr. Noraziah Ahmad
Date Deposited: 22 Feb 2018 06:38
Last Modified: 27 Jul 2018 02:02
URI: http://umpir.ump.edu.my/id/eprint/19911
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