Convergence Analysis of the African Buffalo Optimization Algorithm

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...

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Main Authors:	Odili, Julius Beneoluchi, M. N. M., Kahar, Noraziah, Ahmad
Format:	Article
Language:	English
Published:	United Kingdom Simulation Society 2016
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/19911/ http://umpir.ump.edu.my/id/eprint/19911/ http://umpir.ump.edu.my/id/eprint/19911/ http://umpir.ump.edu.my/id/eprint/19911/1/paper44.pdf

id	ump-19911
recordtype	eprints
spelling	ump-199112018-07-27T02:02:45Z http://umpir.ump.edu.my/id/eprint/19911/ Convergence Analysis of the African Buffalo Optimization Algorithm Odili, Julius Beneoluchi M. N. M., Kahar Noraziah, Ahmad QA75 Electronic computers. Computer science 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. United Kingdom Simulation Society 2016 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/19911/1/paper44.pdf 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) http://ijssst.info/Vol-17/No-33/paper44.pdf DOI: 10.5013/IJSSST.a.17.33.44
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Odili, Julius Beneoluchi M. N. M., Kahar Noraziah, Ahmad Convergence Analysis of the African Buffalo Optimization Algorithm
description	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.
format	Article
author	Odili, Julius Beneoluchi M. N. M., Kahar Noraziah, Ahmad
author_facet	Odili, Julius Beneoluchi M. N. M., Kahar Noraziah, Ahmad
author_sort	Odili, Julius Beneoluchi
title	Convergence Analysis of the African Buffalo Optimization Algorithm
title_short	Convergence Analysis of the African Buffalo Optimization Algorithm
title_full	Convergence Analysis of the African Buffalo Optimization Algorithm
title_fullStr	Convergence Analysis of the African Buffalo Optimization Algorithm
title_full_unstemmed	Convergence Analysis of the African Buffalo Optimization Algorithm
title_sort	convergence analysis of the african buffalo optimization algorithm
publisher	United Kingdom Simulation Society
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/19911/ http://umpir.ump.edu.my/id/eprint/19911/ http://umpir.ump.edu.my/id/eprint/19911/ http://umpir.ump.edu.my/id/eprint/19911/1/paper44.pdf
first_indexed	2023-09-18T22:28:32Z
last_indexed	2023-09-18T22:28:32Z
_version_	1777416129502773248

Convergence Analysis of the African Buffalo Optimization Algorithm

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