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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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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
score 13.1944895

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