Title: A dynamic firefly algorithm based on two-way guidance and dimensional mutation

Authors: Jing Wang; Yanfeng Ji; Linfeng Wei; Hui Chen; William Wei Song

Addresses: School of Software and Communication Engineering, Jiangxi University of Finance and Economics, Nanchang, China ' School of Software and Communication Engineering, Jiangxi University of Finance and Economics, Nanchang, China ' School of Software and Communication Engineering, Jiangxi University of Finance and Economics, Nanchang, China ' School of Software and Communication Engineering, Jiangxi University of Finance and Economics, Nanchang, China ' Business Intelligence and Information Systems, Dalarna University, Borlänge, Sweden; School of Software and Communication Engineering, Jiangxi University of Finance and Economics, Nanchang, China

Abstract: As a stochastic optimiser, the firefly algorithm (FA) has been successfully and widely used in the solutions to various optimisation problems. Recent related research shows that the standard FA does not sufficiently balance between exploration and exploitation. Especially in high-dimensional problems, it is easy for the standard FA to fall into the local optimum and lead to premature convergence. To overcome the problems as mentioned above, DMTgFA uses three strategies: dynamic step length setting strategy (DS), non-elite two-way guidance model (TG) and elites dimensional mutation strategy (DM). The dynamic step length setting strategy makes the algorithm convergence speed faster. The non-elite two-way guidance model and the elite dimensional mutation strategy cooperate to solve the balance problem between global search and local search. Experimental results show that DMTgFA has stronger optimisation ability and faster convergence speed than other state-of-the-art FA variants.

Keywords: firefly algorithm; single-objective optimisation; non-elite two-way guidance model; elite dimensional mutation strategy.

DOI: 10.1504/IJBIC.2022.126772

International Journal of Bio-Inspired Computation, 2022 Vol.20 No.2, pp.126 - 137

Received: 25 May 2021
Accepted: 29 Aug 2021
Published online: 07 Nov 2022 *

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