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.
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Official URL: https://www.scientific.net/AMM.815.253
Abstract
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | artificial fish swarm algorithm, fish behaviors |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Mechanical Engineering |
| ID Code: | 63383 |
| Deposited By: | Widya Wahid |
| Deposited On: | 28 May 2017 02:54 |
| Last Modified: | 21 Aug 2017 04:14 |
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