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/13833/1/African%20Buffalo%20Optimization.pdf
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author Odili, Julius Beneoluchi
M. N. M., Kahar
author_facet Odili, Julius Beneoluchi
M. N. M., Kahar
author_sort Odili, Julius Beneoluchi
building UMP Institutional Repository
collection Online Access
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.
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publishDate 2016
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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. (Published) http://ijsecs.ump.edu.my/images/archive/vol2/0014.pdf DOI: 10.15282/ijsecs.2.2016.1.0014
spellingShingle QA76 Computer software
Odili, Julius Beneoluchi
M. N. M., Kahar
African Buffalo Optimization
title African Buffalo Optimization
title_full African Buffalo Optimization
title_fullStr African Buffalo Optimization
title_full_unstemmed African Buffalo Optimization
title_short African Buffalo Optimization
title_sort african buffalo optimization
topic QA76 Computer software
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