An improved firefly algorithm for global continuous optimization problems
Journal article
Wu, Jinran, Wang, You-Gan, Burrage, Kevin, Tian, Yu-Chu, Lawson, Brodie and Ding, Zhe. (2020). An improved firefly algorithm for global continuous optimization problems. Expert Systems with Applications. 149, p. Article 113340. https://doi.org/10.1016/j.eswa.2020.113340
Authors | Wu, Jinran, Wang, You-Gan, Burrage, Kevin, Tian, Yu-Chu, Lawson, Brodie and Ding, Zhe |
---|---|
Abstract | Global continuous optimization is populated by its implementation in many real-world applications. Such optimization problems are often solved by nature-inspired and meta-heuristic algorithms, including the firefly algorithm (FA), which offers fast exploration and exploitation. To further strengthen FA’s search for global optimum, a Levy-flight FA (LF-FA) has been developed through sampling from a Levy distribution instead of the traditional uniform one. However, due to its poor exploitation in local areas, the LF-FA does not guarantee fast convergence. To address this problem, this paper provides an adaptive logarithmic spiral-Levy FA (AD-IFA) that strengthens the LF-FA’s local exploitation and accelerates its convergence. Our AD-IFA is integrated with logarithmic-spiral guidance to its fireflies’ paths, and adaptive switching between exploration and exploitation modes during the search process. Experimental results show that the AD-IFA presented in this paper consistently outperforms the standard FA and LF-FA for 29 test functions and 6 real cases of global optimization problems in terms of both computation speed and derived optimum. |
Keywords | adaptive switch; logarithmic spiral; firefly algorithm; global continuous optimization |
Year | 2020 |
Journal | Expert Systems with Applications |
Journal citation | 149, p. Article 113340 |
Publisher | Elsevier Ltd |
ISSN | 0957-4174 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.eswa.2020.113340 |
Scopus EID | 2-s2.0-85081033469 |
Page range | 1-12 |
Funder | Australian Research Council (ARC) |
Publisher's version | License All rights reserved File Access Level Controlled |
Output status | Published |
Publication dates | |
Online | 26 Feb 2020 |
Publication process dates | |
Accepted | 25 Feb 2020 |
Deposited | 24 Jul 2023 |
ARC Funded Research | This output has been funded, wholly or partially, under the Australian Research Council Act 2001 |
Grant ID | DP160104292 |
https://acuresearchbank.acu.edu.au/item/8z602/an-improved-firefly-algorithm-for-global-continuous-optimization-problems
Restricted files
Publisher's version
59
total views0
total downloads1
views this month0
downloads this month