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Research Article Open access CC BY 4.0

Numerical Function Optimization Solutions Using the African Buffalo Optimization Algorithm (ABO)

Julius Beneoluchi Odili, Mohd Nizam Mohmad Kahar

Journal of Advances in Mathematics and Computer Science · pp. 1–12 · Published 27 Jun 2015

10.9734/BJMCS/2015/17145

Abstract

This paper proposes a new meta-heuristic approach to solving continuous optimization problems using 21 benchmark test cases. The African buffalo algorithm evolved from an understanding of this animal’s survival instincts and the search techniques they utilize in the African forests and savannahs. The African buffalo employs its exceptionally intelligent, cooperative and democratic attitude in its search for the optimal path to pasture. This enables it to get results faster than some other search agents. The African Buffalo Optimization (A.B.O) algorithm simulates the African buffalos’ behaviour by encapsulation in a mathematical model; which solves a number of continuous optimization problems. When compared to the Genetic Algorithm (GA),Chaotic Gray-coded Genetic Algorithm and the Improved Genetic Algorithm (IGA), the results obtained from African Buffalo Optimization show that the algorithm works well and can be extended to solving  other optimization problems like: path planning, scheduling, vehicle routing.

Numerical function optimization African buffalo optimization (ABO) global optimization multimodal uni-modal

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