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/2015/17145Abstract
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.
Cited by 19
M Krisnawati, A A Sibarani, A Mustikasari · IOP Conference Series: Materials Science and Engineering · 2020
Radhwan Al-Jawadi, Marcin Studniarski · Lecture Notes in Computer Science · 2018
Boris Almonacid, Juan Reyes-Hagemann, Juan Campos-Nazer · IET Software · 2018
Julius Odili, Mohd Nizam Mohmad Kahar, A Noraziah · International Journal of Advanced Robotic Systems · 2017
Zhang Longfei · 2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) · 2020
Boris Almonacid, Fabián Aspée, Francisco Yimes · Algorithms · 2019
Mohammed Alweshah, Lobna Rababa, Mohammed Hashem Ryalat · Journal of King Saud University - Computer and Information Sciences · 2022
Julius Beneoluchi Odili, Mohd Nizam Mohmad Kahar, A. Noraziah · PLOS ONE · 2017
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