Part of Springer Nature

International Journal of Computational Intelligence Systems

Volume 12, Issue 1, November 2018, Pages 131 - 148

An improved chaotic firefly algorithm for global numerical optimization

Authors
Ivona Brajević1, 2, *, ivona.brajevic@googlemail.com, Predrag Stanimirović1, pecko@pmf.ni.ac.rs
1Department of Mathematics and Computer Science, Faculty of Sciences and Mathematics, University of Niš, Višegradska 33, 18000 Niš, Serbia
2Faculty of Applied Management, Economics and Finance, Business Academy University, Jevrejska 24, 11000 Belgrade, Serbia
**Corresponding author. Email: ivona.brajevic@googlemail.com
Corresponding Author
Received 7 April 2018, Accepted 16 September 2018, Available Online 1 November 2018.
DOI
https://doi.org/10.2991/ijcis.2018.25905187How to use a DOI?
Keywords
Firefly algorithm, chaos, global optimization, nature-inspired algorithms, exploitation, exploration
Abstract

Firefly algorithm (FA) is a prominent metaheuristc technique. It has been widely studied and hence there are a lot of modified FA variants proposed to solve hard optimization problems from various areas. In this paper an improved chaotic firefly algorithm (ICFA) is proposed for solving global optimization problems. The ICFA uses firefly algorithm with chaos (CFA) as the parent algorithm since it replaces the attractiveness coefficient by the outputs of the chaotic map. The enhancement of the proposed approach involves introducing a novel search strategy which is able to obtain a good ratio between exploration and exploitation abilities of the algorithm. The impact of the introduced search operator on the performance of the ICFA is evaluated. Experiments are conducted on nineteen well-known benchmark functions. Results reveal that the ICFA is able to significantly improve the performance of the standard FA, CFA and four other recently proposed FA variants.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
12 - 1
Pages
131 - 148
Publication Date
2018/11
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.2018.25905187How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Ivona Brajević
AU  - Predrag Stanimirović
PY  - 2018
DA  - 2018/11
TI  - An improved chaotic firefly algorithm for global numerical optimization
JO  - International Journal of Computational Intelligence Systems
SP  - 131
EP  - 148
VL  - 12
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2018.25905187
DO  - https://doi.org/10.2991/ijcis.2018.25905187
ID  - Brajević2018
ER  -