Particle Swarm Optimization with Double Learning Patterns
Joint Authors
Shen, Yuanxia
Wei, Linna
Zeng, Chuanhua
Chen, Jian
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-27
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
Particle Swarm Optimization (PSO) is an effective tool in solving optimization problems.
However, PSO usually suffers from the premature convergence due to the quick losing of the swarm diversity.
In this paper, we first analyze the motion behavior of the swarm based on the probability characteristic of learning parameters.
Then a PSO with double learning patterns (PSO-DLP) is developed, which employs the master swarm and the slave swarm with different learning patterns to achieve a trade-off between the convergence speed and the swarm diversity.
The particles in the master swarm and the slave swarm are encouraged to explore search for keeping the swarm diversity and to learn from the global best particle for refining a promising solution, respectively.
When the evolutionary states of two swarms interact, an interaction mechanism is enabled.
This mechanism can help the slave swarm in jumping out of the local optima and improve the convergence precision of the master swarm.
The proposed PSO-DLP is evaluated on 20 benchmark functions, including rotated multimodal and complex shifted problems.
The simulation results and statistical analysis show that PSO-DLP obtains a promising performance and outperforms eight PSO variants.
American Psychological Association (APA)
Shen, Yuanxia& Wei, Linna& Zeng, Chuanhua& Chen, Jian. 2015. Particle Swarm Optimization with Double Learning Patterns. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-19.
https://search.emarefa.net/detail/BIM-1099734
Modern Language Association (MLA)
Shen, Yuanxia…[et al.]. Particle Swarm Optimization with Double Learning Patterns. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-19.
https://search.emarefa.net/detail/BIM-1099734
American Medical Association (AMA)
Shen, Yuanxia& Wei, Linna& Zeng, Chuanhua& Chen, Jian. Particle Swarm Optimization with Double Learning Patterns. Computational Intelligence and Neuroscience. 2015. Vol. 2016, no. 2016, pp.1-19.
https://search.emarefa.net/detail/BIM-1099734
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099734