Universiti Teknologi Malaysia Institutional Repository

Performance comparison of various probability gate assisted binary lightning search algorithm

Islam, M. M. and Shareef, H. and Nagrial, M. and Rizk, J. and Hellany, A. and Khalid, S. N. (2019) Performance comparison of various probability gate assisted binary lightning search algorithm. IAES International Journal of Artificial Intelligence, 8 (3). pp. 228-236. ISSN 2089-4872


Official URL: http://www.dx.doi.org/10.11591/ijai.v8.i3.pp299-30...


Recently, many new nature-inspired optimization algorithms have been introduced to further enhance the computational intelligence optimization algorithms. Among them, lightning search algorithm (LSA) is a recent heuristic optimization method for resolving continuous problems. It mimics the natural phenomenon of lightning to find out the global optimal solution around the search space. In this paper, a suitable technique to formulate binary version of lightning search algorithm (BLSA) is presented. Three common probability transfer functions, namely, logistic sigmoid, tangent hyperbolic sigmoid and quantum bit rotating gate are investigated to be utilized in the original LSA. The performances of three transfer functions based BLSA is evaluated using various standard functions with different features and the results are compared with other four famous heuristic optimization techniques. The comparative study clearly reveals that tangent hyperbolic transfer function is the most suitable function that can be utilized in the binary version of LSA.

Item Type:Article
Uncontrolled Keywords:benchmark function, binary lightning search algorithm, decoding
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:91844
Deposited By: Narimah Nawil
Deposited On:28 Jul 2021 16:48
Last Modified:28 Jul 2021 16:48

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