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)
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Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | graphite, african buffalo optimization, metaheuristics, population-based, global optimization, traveling salesman’s problem |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 28 Dec 2016 02:51 |
| Last Modified: | 27 Jul 2018 01:59 |
| URI: | http://umpir.ump.edu.my/id/eprint/13833 |
| Download Statistic: | View Download Statistics |
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