Title: A novel firefly algorithm with self-adaptive step strategy

Authors: Jing Wang; Guiyuan Liu

Addresses: School of Software and Communication Engineering, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, 330013, China ' School of Software and Communication Engineering, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, 330013, China

Abstract: In the standard firefly algorithm, the random moving step is very important to the direction of the firefly movement, and the parameter alpha plays an important role in the random moving step. In this paper, we proposed a self-adaptive step strategy based on distance control in this paper, and we called it SASFA. Thirteen well-known benchmark functions are used to verify the performance of our proposed method; the computational results show that SASFA is more efficient than many other FA algorithms.

Keywords: firefly algorithm; random moving step; meta-heuristic algorithm; global optimisation.

DOI: 10.1504/IJICA.2019.100525

International Journal of Innovative Computing and Applications, 2019 Vol.10 No.1, pp.18 - 26

Received: 20 Jul 2018
Accepted: 02 Oct 2018
Published online: 29 Jun 2019 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article