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Jamal Rizk
Western Sydney University
Computer Science & IT Engineering

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Performance comparison of various probability gate assisted binary lightning search algorithm Md Mainul Islam; Hussain Shareef; Mahmood Nagrial; Jamal Rizk; Ali Hellany; Saiful Nizam Khalid
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (501.858 KB) | DOI: 10.11591/ijai.v8.i3.pp299-306

Abstract

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.
Co-Authors Ali Hellany Hussain Shareef Mahmood Nagrial Md Mainul Islam Saiful Nizam Khalid