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A new modified firefly algorithm for optimizing a supply chain network problem

Firefly algorithm is among the nature-inspired optimization algorithms. The standard firefly algorithm has been successfully applied to many engineering problems. However, this algorithm might be stuck in stagnation (the solutions do not enhance anymore) or possibly fall in premature convergence (fa...

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Main Authors:	Memari, A., Ahmad, R., Jokar, M. R. A., Rahim, A. R. A.
Format:	Article
Language:	English
Published:	MDPI AG 2018
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.utm.my/id/eprint/79629/1/RobiahAhmad2018_ANewModifiedFireflyAlgorithm.pdf http://eprints.utm.my/id/eprint/79629/ http://dx.doi.org/10.3390/app9010007
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id	my.utm.79629
record_format	eprints
spelling	my.utm.796292019-01-28T04:58:11Z http://eprints.utm.my/id/eprint/79629/ A new modified firefly algorithm for optimizing a supply chain network problem Memari, A. Ahmad, R. Jokar, M. R. A. Rahim, A. R. A. QA75 Electronic computers. Computer science Firefly algorithm is among the nature-inspired optimization algorithms. The standard firefly algorithm has been successfully applied to many engineering problems. However, this algorithm might be stuck in stagnation (the solutions do not enhance anymore) or possibly fall in premature convergence (fall in to the local optimum) in searching space. It seems that both issues could be connected to the exploitation and exploration. Excessive exploitation leads to premature convergence, while excessive exploration slows down the convergence. In this study, the classical firefly algorithm is modified such that make a balance between exploitation and exploration. The purposed modified algorithm ranks and sorts the initial solutions. Next, the operators named insertion, swap and reversion are utilized to search the neighbourhood of solutions in the second group, in which all these operators are chosen randomly. After that, the acquired solutions combined with the first group and the firefly algorithm finds the new potential solutions. A multi-echelon supply chain network problem is chosen to investigate the decisions associated with the distribution of multiple products that are delivered through multiple distribution centres and retailers to end customers and demonstrate the efficiency of the proposed algorithm. MDPI AG 2018 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/79629/1/RobiahAhmad2018_ANewModifiedFireflyAlgorithm.pdf Memari, A. and Ahmad, R. and Jokar, M. R. A. and Rahim, A. R. A. (2018) A new modified firefly algorithm for optimizing a supply chain network problem. Applied Sciences (Switzerland), 9 (1). ISSN 2076-3417 http://dx.doi.org/10.3390/app9010007 DOI:10.3390/app9010007
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Memari, A. Ahmad, R. Jokar, M. R. A. Rahim, A. R. A. A new modified firefly algorithm for optimizing a supply chain network problem
description	Firefly algorithm is among the nature-inspired optimization algorithms. The standard firefly algorithm has been successfully applied to many engineering problems. However, this algorithm might be stuck in stagnation (the solutions do not enhance anymore) or possibly fall in premature convergence (fall in to the local optimum) in searching space. It seems that both issues could be connected to the exploitation and exploration. Excessive exploitation leads to premature convergence, while excessive exploration slows down the convergence. In this study, the classical firefly algorithm is modified such that make a balance between exploitation and exploration. The purposed modified algorithm ranks and sorts the initial solutions. Next, the operators named insertion, swap and reversion are utilized to search the neighbourhood of solutions in the second group, in which all these operators are chosen randomly. After that, the acquired solutions combined with the first group and the firefly algorithm finds the new potential solutions. A multi-echelon supply chain network problem is chosen to investigate the decisions associated with the distribution of multiple products that are delivered through multiple distribution centres and retailers to end customers and demonstrate the efficiency of the proposed algorithm.
format	Article
author	Memari, A. Ahmad, R. Jokar, M. R. A. Rahim, A. R. A.
author_facet	Memari, A. Ahmad, R. Jokar, M. R. A. Rahim, A. R. A.
author_sort	Memari, A.
title	A new modified firefly algorithm for optimizing a supply chain network problem
title_short	A new modified firefly algorithm for optimizing a supply chain network problem
title_full	A new modified firefly algorithm for optimizing a supply chain network problem
title_fullStr	A new modified firefly algorithm for optimizing a supply chain network problem
title_full_unstemmed	A new modified firefly algorithm for optimizing a supply chain network problem
title_sort	new modified firefly algorithm for optimizing a supply chain network problem
publisher	MDPI AG
publishDate	2018
url	http://eprints.utm.my/id/eprint/79629/1/RobiahAhmad2018_ANewModifiedFireflyAlgorithm.pdf http://eprints.utm.my/id/eprint/79629/ http://dx.doi.org/10.3390/app9010007
_version_	1643658246817316864
score	13.211869

A new modified firefly algorithm for optimizing a supply chain network problem

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