Modification of Fish Swarm Algorithm Based on Lévy Flight and Firefly Behavior
Joint Authors
Peng, Zhenrui
Dong, Kangli
Yin, Hong
Bai, Yu
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-13
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Artificial fish swarm algorithm easily converges to local optimum, especially in solving the global optimization problem of multidimensional and multiextreme value functions.
To overcome this drawback, a novel fish swarm algorithm (LFFSA) based on Lévy flight and firefly behavior is proposed.
LFFSA incorporates the moving strategy of firefly algorithm into two behavior patterns of fish swarm, i.e., chasing behavior and preying behavior.
Furthermore, Lévy flight is introduced into the searching strategy.
To limit the search band, nonlinear view and step size based on dynamic parameter are considered.
Finally, the proposed algorithm LFFSA is validated with several benchmark problems.
Numerical results demonstrate that LFFSA has a better performance in convergence speed and optimization accuracy than the other test algorithms.
American Psychological Association (APA)
Peng, Zhenrui& Dong, Kangli& Yin, Hong& Bai, Yu. 2018. Modification of Fish Swarm Algorithm Based on Lévy Flight and Firefly Behavior. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1130863
Modern Language Association (MLA)
Peng, Zhenrui…[et al.]. Modification of Fish Swarm Algorithm Based on Lévy Flight and Firefly Behavior. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1130863
American Medical Association (AMA)
Peng, Zhenrui& Dong, Kangli& Yin, Hong& Bai, Yu. Modification of Fish Swarm Algorithm Based on Lévy Flight and Firefly Behavior. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1130863
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130863