An enhanced opposition-based firefly algorithm for solving complex optimization problems

Firefl y algorithm is one of the heuristic optimization algorithms which mainly based on the light intensity and the attractiveness of fi refl y. However, fi refl y algorithm has the problem of being trapped in local optimum and slow convergence rates due to its random searching process. This stud...

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Main Authors:	Ling, Ai Wong, Hussain Shareef, Azah Mohamed, Ahmad Asrul Ibrahim
Format:	Article
Language:	English
Published:	Fakulti Kejuruteraan ,UKM,Bangi. 2014
Online Access:	http://journalarticle.ukm.my/8531/ http://journalarticle.ukm.my/8531/ http://journalarticle.ukm.my/8531/1/354-489-1-SM.pdf

id	ukm-8531
recordtype	eprints
spelling	ukm-85312016-12-14T06:47:28Z http://journalarticle.ukm.my/8531/ An enhanced opposition-based firefly algorithm for solving complex optimization problems Ling, Ai Wong Hussain Shareef, Azah Mohamed, Ahmad Asrul Ibrahim, Firefl y algorithm is one of the heuristic optimization algorithms which mainly based on the light intensity and the attractiveness of fi refl y. However, fi refl y algorithm has the problem of being trapped in local optimum and slow convergence rates due to its random searching process. This study introduces some methods to enhance the performance of original fi refl y algorithm. The proposed enhanced opposition fi refl y algorithm (EOFA) utilizes opposition-based learning in population initialization and generation jumping while the idea of inertia weight is incorporated in the updating of fi refl y’s position. Fifteen benchmark test functions have been employed to evaluate the performance of EOFA. Besides, comparison has been made with another existing optimization algorithm namely gravitational search algorithm (GSA). Results show that EOFA has the best performance comparatively in terms of convergence rate and the ability of escaping from local optimum point. Fakulti Kejuruteraan ,UKM,Bangi. 2014 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/8531/1/354-489-1-SM.pdf Ling, Ai Wong and Hussain Shareef, and Azah Mohamed, and Ahmad Asrul Ibrahim, (2014) An enhanced opposition-based firefly algorithm for solving complex optimization problems. Jurnal Kejuruteraan, 26 . pp. 89-96. ISSN 0128-0198 http://www.ukm.my/jkukm/index.php/jkukm/issue/view/36
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	Firefl y algorithm is one of the heuristic optimization algorithms which mainly based on the light intensity and the attractiveness of fi refl y. However, fi refl y algorithm has the problem of being trapped in local optimum and slow convergence rates due to its random searching process. This study introduces some methods to enhance the performance of original fi refl y algorithm. The proposed enhanced opposition fi refl y algorithm (EOFA) utilizes opposition-based learning in population initialization and generation jumping while the idea of inertia weight is incorporated in the updating of fi refl y’s position. Fifteen benchmark test functions have been employed to evaluate the performance of EOFA. Besides, comparison has been made with another existing optimization algorithm namely gravitational search algorithm (GSA). Results show that EOFA has the best performance comparatively in terms of convergence rate and the ability of escaping from local optimum point.
format	Article
author	Ling, Ai Wong Hussain Shareef, Azah Mohamed, Ahmad Asrul Ibrahim,
spellingShingle	Ling, Ai Wong Hussain Shareef, Azah Mohamed, Ahmad Asrul Ibrahim, An enhanced opposition-based firefly algorithm for solving complex optimization problems
author_facet	Ling, Ai Wong Hussain Shareef, Azah Mohamed, Ahmad Asrul Ibrahim,
author_sort	Ling, Ai Wong
title	An enhanced opposition-based firefly algorithm for solving complex optimization problems
title_short	An enhanced opposition-based firefly algorithm for solving complex optimization problems
title_full	An enhanced opposition-based firefly algorithm for solving complex optimization problems
title_fullStr	An enhanced opposition-based firefly algorithm for solving complex optimization problems
title_full_unstemmed	An enhanced opposition-based firefly algorithm for solving complex optimization problems
title_sort	enhanced opposition-based firefly algorithm for solving complex optimization problems
publisher	Fakulti Kejuruteraan ,UKM,Bangi.
publishDate	2014
url	http://journalarticle.ukm.my/8531/ http://journalarticle.ukm.my/8531/ http://journalarticle.ukm.my/8531/1/354-489-1-SM.pdf
first_indexed	2023-09-18T19:52:34Z
last_indexed	2023-09-18T19:52:34Z
_version_	1777406317426638848

An enhanced opposition-based firefly algorithm for solving complex optimization problems

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