Title: Firefly algorithm with dynamic attractiveness model and its application on wireless sensor networks

Authors: Jing Wang

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

Abstract: Firefly algorithm (FA) is a new population-based meta-heuristic algorithm which has outstanding performance on many optimisation problems. However, in standard FA, the attractiveness quickly approaches a constant in the middle period of the iterations. It may be very detrimental to the search ability of the algorithm. So we propose a new variant FA (DFA) with a dynamic attractiveness model which can linearly adjust the rate of change of attractiveness as the number of iterations grows. Thirteen well-known benchmark functions are used to verify the performance of our proposed method; the computational results show that DFA is more efficient than many other FA algorithms. We also successfully used DFA to solve the wireless sensor network node distribution optimisation problem; the results of the coverage statistics further validate the effectiveness of the proposed algorithm.

Keywords: firefly algorithm; meta-heuristic algorithm; global optimisation; wireless sensor network; node distribution optimisation.

DOI: 10.1504/IJWMC.2017.088529

International Journal of Wireless and Mobile Computing, 2017 Vol.13 No.3, pp.223 - 231

Received: 02 May 2017
Accepted: 13 Jun 2017
Published online: 11 Dec 2017 *

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