A Global African Buffalo Optimization

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...

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Main Authors:	Azrag, M. A. K., Tuty Asmawaty, Abdul Kadir, Odili, Julius Beneoluchi, Essam, M. H. A.
Format:	Article
Language:	English
Published:	Penerbit UMP 2017
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/14173/ http://umpir.ump.edu.my/id/eprint/14173/ http://umpir.ump.edu.my/id/eprint/14173/ http://umpir.ump.edu.my/id/eprint/14173/1/fskkp-2017-odili-A%20Global%20African%20Buffalo%20Optimization.pdf

id	ump-14173
recordtype	eprints
spelling	ump-141732018-04-25T06:59:23Z http://umpir.ump.edu.my/id/eprint/14173/ A Global African Buffalo Optimization Azrag, M. A. K. Tuty Asmawaty, Abdul Kadir Odili, Julius Beneoluchi Essam, M. H. A. QA75 Electronic computers. Computer science 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. Penerbit UMP 2017 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/14173/1/fskkp-2017-odili-A%20Global%20African%20Buffalo%20Optimization.pdf 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 http://ijsecs.ump.edu.my/index.php/archive/14-volume-3/23-ijsecs-3-010 DOI: 10.15282/ijsecs.3.2017.10.0032
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 Azrag, M. A. K. Tuty Asmawaty, Abdul Kadir Odili, Julius Beneoluchi Essam, M. H. A. A Global African Buffalo Optimization
description	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.
format	Article
author	Azrag, M. A. K. Tuty Asmawaty, Abdul Kadir Odili, Julius Beneoluchi Essam, M. H. A.
author_facet	Azrag, M. A. K. Tuty Asmawaty, Abdul Kadir Odili, Julius Beneoluchi Essam, M. H. A.
author_sort	Azrag, M. A. K.
title	A Global African Buffalo Optimization
title_short	A Global African Buffalo Optimization
title_full	A Global African Buffalo Optimization
title_fullStr	A Global African Buffalo Optimization
title_full_unstemmed	A Global African Buffalo Optimization
title_sort	global african buffalo optimization
publisher	Penerbit UMP
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/14173/ http://umpir.ump.edu.my/id/eprint/14173/ http://umpir.ump.edu.my/id/eprint/14173/ http://umpir.ump.edu.my/id/eprint/14173/1/fskkp-2017-odili-A%20Global%20African%20Buffalo%20Optimization.pdf
first_indexed	2023-09-18T22:17:37Z
last_indexed	2023-09-18T22:17:37Z
_version_	1777415443155255296

A Global African Buffalo Optimization

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