Title: Firefly algorithm with hybrid mutation strategies

Authors: Fang Tang; Jun Tang

Addresses: Department of Construction Engineering, Hunan Urban Construction College, Xiangtan 411101, China ' Department of Construction Engineering, Hunan Urban Construction College, Xiangtan 411101, China

Abstract: Firefly algorithm (FA) is a new optimisation tool, which has been applied to various optimisation problems. In this paper, a new FA variant is proposed to enhance the exploration and exploitation abilities. The proposed approach is called HMFA, which employs hybrid mutation strategies. It is hopeful that different mutation strategies result in different search characteristics. To verify the performance of HMFA, we test it on several well-known benchmark functions, and the obtained solutions are compared with some recently proposed FA variants. The comparison results show that our approach can achieve promising performance on the majority of test functions.

Keywords: firefly algorithm; hybrid mutation; exploration; exploitation; global optimisation; metaheuristics.

DOI: 10.1504/IJWMC.2016.080176

International Journal of Wireless and Mobile Computing, 2016 Vol.11 No.2, pp.166 - 170

Received: 17 Jun 2016
Accepted: 24 Jul 2016

Published online: 02 Nov 2016 *

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