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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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 |
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Digital Repository |
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UMP Institutional Repository |
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Online Access |
language |
English |
topic |
QA76 Computer software |
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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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1777415397488721920 |