International Journal of Computational Intelligence Systems

Volume 13, Issue 1, 2020, Pages 810 - 821

A Hybrid Firefly and Multi-Strategy Artificial Bee Colony Algorithm

Authors
Ivona Brajević1, 2, *, ORCID, Predrag S. Stanimirović2, ORCID, Shuai Li3, ORCID, Xinwei Cao4
1Faculty of Applied Management, Economics and Finance, University Business Academy, Jevrejska 24, Belgrade, 11000, Serbia
2Faculty of Sciences and Mathematics, University of Niš, Višegradska 33, Niš, 18000, Serbia
3College of Engineering, Swansea University, Fabian Way, Swansea, SA1 8EN, Wales, United Kingdom
4School of Management, Shanghai University, 99 Shangda Road, BaoShan District, Shanghai, 201900, China
*Corresponding author. Email: ivona.brajevic@googlemail.com
Corresponding Author
Ivona Brajević
Received 1 December 2019, Accepted 9 June 2020, Available Online 23 June 2020.
DOI
10.2991/ijcis.d.200612.001How to use a DOI?
Keywords
Firefly algorithm; Artificial bee colony; Multi-strategy; Hybrid algorithm; Global optimization
Abstract

Many hard optimization problems have been efficiently solved by two notable swarm intelligence algorithms, artificial bee colony (ABC) and firefly algorithm (FA). In this paper, a collaborative hybrid algorithm based on firefly and multi-strategy artificial bee colony, abbreviated as FA-MABC, is proposed for solving single-objective optimization problems. In the proposed algorithm, FA investigates the search space globally to locate favorable regions of convergence. A novel multi-strategy ABC is employed to perform local search. The proposed algorithm incorporates a diversity measure to help in the switch criteria. The FA-MABC is tested on 40 benchmark functions with diverse complexities. Comparative results with the basic FA, ABC and other recent state-of-the-art metaheuristic algorithms demonstrate the competitive performance of the FA-MABC.

Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
13 - 1
Pages
810 - 821
Publication Date
2020/06/23
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.d.200612.001How to use a DOI?
Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Ivona Brajević
AU  - Predrag S. Stanimirović
AU  - Shuai Li
AU  - Xinwei Cao
PY  - 2020
DA  - 2020/06/23
TI  - A Hybrid Firefly and Multi-Strategy Artificial Bee Colony Algorithm
JO  - International Journal of Computational Intelligence Systems
SP  - 810
EP  - 821
VL  - 13
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.200612.001
DO  - 10.2991/ijcis.d.200612.001
ID  - Brajević2020
ER  -