Log-Linear Model Based Behavior Selection Method for Artificial Fish Swarm Algorithm
Joint Authors
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-01-26
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Artificial fish swarm algorithm (AFSA) is a population based optimization technique inspired by social behavior of fishes.
In past several years, AFSA has been successfully applied in many research and application areas.
The behavior of fishes has a crucial impact on the performance of AFSA, such as global exploration ability and convergence speed.
How to construct and select behaviors of fishes are an important task.
To solve these problems, an improved artificial fish swarm algorithm based on log-linear model is proposed and implemented in this paper.
There are three main works.
Firstly, we proposed a new behavior selection algorithm based on log-linear model which can enhance decision making ability of behavior selection.
Secondly, adaptive movement behavior based on adaptive weight is presented, which can dynamically adjust according to the diversity of fishes.
Finally, some new behaviors are defined and introduced into artificial fish swarm algorithm at the first time to improve global optimization capability.
The experiments on high dimensional function optimization showed that the improved algorithm has more powerful global exploration ability and reasonable convergence speed compared with the standard artificial fish swarm algorithm.
American Psychological Association (APA)
Huang, Zhehuang& Chen, Yidong. 2015. Log-Linear Model Based Behavior Selection Method for Artificial Fish Swarm Algorithm. Computational Intelligence and Neuroscience،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057733
Modern Language Association (MLA)
Huang, Zhehuang& Chen, Yidong. Log-Linear Model Based Behavior Selection Method for Artificial Fish Swarm Algorithm. Computational Intelligence and Neuroscience No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1057733
American Medical Association (AMA)
Huang, Zhehuang& Chen, Yidong. Log-Linear Model Based Behavior Selection Method for Artificial Fish Swarm Algorithm. Computational Intelligence and Neuroscience. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057733
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057733