African Buffalo Optimization

This is an introductory paper to the newly-designed African Buffalo Optimization (ABO) algorithm for solving combinatorial and other optimization problems. The algorithm is inspired by the behavior of African buffalos, a species of wild cows known for their extensive migrant lifestyle. This paper pr...

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Main Authors: Odili, Julius Beneoluchi, M. N. M., Kahar
Format: Article
Language:English
Published: Penerbit UMP 2016
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/13833/
http://umpir.ump.edu.my/id/eprint/13833/
http://umpir.ump.edu.my/id/eprint/13833/
http://umpir.ump.edu.my/id/eprint/13833/1/African%20Buffalo%20Optimization.pdf
id ump-13833
recordtype eprints
spelling ump-138332018-07-27T01:59:59Z http://umpir.ump.edu.my/id/eprint/13833/ African Buffalo Optimization Odili, Julius Beneoluchi M. N. M., Kahar QA76 Computer software This is an introductory paper to the newly-designed African Buffalo Optimization (ABO) algorithm for solving combinatorial and other optimization problems. The algorithm is inspired by the behavior of African buffalos, a species of wild cows known for their extensive migrant lifestyle. This paper presents an overview of major metaheuristic algorithms with the aim of providing a basis for the development of the African Buffalo Optimization algorithm which is a nature-inspired, population-based metaheuristic algorithm. Experimental results obtained from applying the novel ABO to solve a number of benchmark global optimization test functions as well as some symmetric and asymmetric Traveling Salesman’s Problems when compared to the results obtained from using other popular optimization methods show that the African Buffalo Optimization is a worthy addition to the growing number of swarm intelligence optimization techniques. Penerbit UMP 2016 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/13833/1/African%20Buffalo%20Optimization.pdf Odili, Julius Beneoluchi and M. N. M., Kahar (2016) African Buffalo Optimization. International Journal of Software Engineering & Computer Sciences (IJSECS), 2. pp. 28-50. ISSN 2289-8522 http://ijsecs.ump.edu.my/images/archive/vol2/0014.pdf DOI: 10.15282/ijsecs.2.2016.1.0014
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Odili, Julius Beneoluchi
M. N. M., Kahar
African Buffalo Optimization
description This is an introductory paper to the newly-designed African Buffalo Optimization (ABO) algorithm for solving combinatorial and other optimization problems. The algorithm is inspired by the behavior of African buffalos, a species of wild cows known for their extensive migrant lifestyle. This paper presents an overview of major metaheuristic algorithms with the aim of providing a basis for the development of the African Buffalo Optimization algorithm which is a nature-inspired, population-based metaheuristic algorithm. Experimental results obtained from applying the novel ABO to solve a number of benchmark global optimization test functions as well as some symmetric and asymmetric Traveling Salesman’s Problems when compared to the results obtained from using other popular optimization methods show that the African Buffalo Optimization is a worthy addition to the growing number of swarm intelligence optimization techniques.
format Article
author Odili, Julius Beneoluchi
M. N. M., Kahar
author_facet Odili, Julius Beneoluchi
M. N. M., Kahar
author_sort Odili, Julius Beneoluchi
title African Buffalo Optimization
title_short African Buffalo Optimization
title_full African Buffalo Optimization
title_fullStr African Buffalo Optimization
title_full_unstemmed African Buffalo Optimization
title_sort african buffalo optimization
publisher Penerbit UMP
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/13833/
http://umpir.ump.edu.my/id/eprint/13833/
http://umpir.ump.edu.my/id/eprint/13833/
http://umpir.ump.edu.my/id/eprint/13833/1/African%20Buffalo%20Optimization.pdf
first_indexed 2023-09-18T22:16:54Z
last_indexed 2023-09-18T22:16:54Z
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