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...
Saved in:
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
United Kingdom Simulation Society
2016
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/19911/1/paper44.pdf http://umpir.ump.edu.my/id/eprint/19911/ http://ijssst.info/Vol-17/No-33/paper44.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.ump.umpir.19911 |
---|---|
record_format |
eprints |
spelling |
my.ump.umpir.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 |
institution |
Universiti Malaysia Pahang |
building |
UMP Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Malaysia Pahang |
content_source |
UMP Institutional Repository |
url_provider |
http://umpir.ump.edu.my/ |
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/19911/1/paper44.pdf http://umpir.ump.edu.my/id/eprint/19911/ http://ijssst.info/Vol-17/No-33/paper44.pdf |
_version_ |
1643668754752602112 |
score |
13.18916 |