Overview of artificial fish swarm algorithm and its applications in industrial problems

Artificial fish swarm algorithm (AFSA) is a class of swarm intelligent optimization algorithm stimulated by the various social behaviors of fish in search of food. AFSA can search for global optimum through local optimum value search of each individual fish effectively based on simulating of fish-sw...

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Main Authors:	Zainal, Nurezayana, Mohd. Zain, Azlan, Sharif, Safian
Format:	Conference or Workshop Item
Published:	2015
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/id/eprint/63383/ https://www.scientific.net/AMM.815.253
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Institution:	Universiti Teknologi Malaysia

id	my.utm.63383
record_format	eprints
spelling	my.utm.633832017-08-21T04:14:10Z http://eprints.utm.my/id/eprint/63383/ Overview of artificial fish swarm algorithm and its applications in industrial problems Zainal, Nurezayana Mohd. Zain, Azlan Sharif, Safian TJ Mechanical engineering and machinery Artificial fish swarm algorithm (AFSA) is a class of swarm intelligent optimization algorithm stimulated by the various social behaviors of fish in search of food. AFSA can search for global optimum through local optimum value search of each individual fish effectively based on simulating of fish-swarm behaviors such as searching, swarming, following and bulletin. This paper presents an overview of AFSA algorithm by describing the evolution of the algorithm along with all the improvements and its combinations with various algorithms and methods as well as its applications in solving industrial problems. 2015 Conference or Workshop Item PeerReviewed Zainal, Nurezayana and Mohd. Zain, Azlan and Sharif, Safian (2015) Overview of artificial fish swarm algorithm and its applications in industrial problems. In: Applied Mechanics and Materials, 31 Jul - 1 Aug, 2015, Indonesia. https://www.scientific.net/AMM.815.253
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/
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Zainal, Nurezayana Mohd. Zain, Azlan Sharif, Safian Overview of artificial fish swarm algorithm and its applications in industrial problems
description	Artificial fish swarm algorithm (AFSA) is a class of swarm intelligent optimization algorithm stimulated by the various social behaviors of fish in search of food. AFSA can search for global optimum through local optimum value search of each individual fish effectively based on simulating of fish-swarm behaviors such as searching, swarming, following and bulletin. This paper presents an overview of AFSA algorithm by describing the evolution of the algorithm along with all the improvements and its combinations with various algorithms and methods as well as its applications in solving industrial problems.
format	Conference or Workshop Item
author	Zainal, Nurezayana Mohd. Zain, Azlan Sharif, Safian
author_facet	Zainal, Nurezayana Mohd. Zain, Azlan Sharif, Safian
author_sort	Zainal, Nurezayana
title	Overview of artificial fish swarm algorithm and its applications in industrial problems
title_short	Overview of artificial fish swarm algorithm and its applications in industrial problems
title_full	Overview of artificial fish swarm algorithm and its applications in industrial problems
title_fullStr	Overview of artificial fish swarm algorithm and its applications in industrial problems
title_full_unstemmed	Overview of artificial fish swarm algorithm and its applications in industrial problems
title_sort	overview of artificial fish swarm algorithm and its applications in industrial problems
publishDate	2015
url	http://eprints.utm.my/id/eprint/63383/ https://www.scientific.net/AMM.815.253
_version_	1643655700745814016

Overview of artificial fish swarm algorithm and its applications in industrial problems

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