An Improved Self-Adaptive PSO Algorithm with Detection Function for Multimodal Function Optimization Problems
Joint Authors
Zhang, YingChao
Xiong, Xiong
Zhang, QiDong
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-24
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper presented an improved self-adaptive particle swarm optimization (IDPSO) algorithm with detection function to solve multimodal function optimization problems.
To overcome the premature convergence of PSO in a short time, the evolution direction of each particle is redirected dynamically by tuning the three parameters of IDPSO in the evolution process.
Numerical results on several benchmark functions indicate that the IDPSO strategy outperformed other variants of PSO.
American Psychological Association (APA)
Zhang, YingChao& Xiong, Xiong& Zhang, QiDong. 2013. An Improved Self-Adaptive PSO Algorithm with Detection Function for Multimodal Function Optimization Problems. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1010486
Modern Language Association (MLA)
Zhang, YingChao…[et al.]. An Improved Self-Adaptive PSO Algorithm with Detection Function for Multimodal Function Optimization Problems. Mathematical Problems in Engineering No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-1010486
American Medical Association (AMA)
Zhang, YingChao& Xiong, Xiong& Zhang, QiDong. An Improved Self-Adaptive PSO Algorithm with Detection Function for Multimodal Function Optimization Problems. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1010486
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1010486