A Local and Global Search Combined Particle Swarm Optimization Algorithm and Its Convergence Analysis
Joint Authors
Lin, Weitian
Gu, Xingsheng
Jiao, Bin
Lian, Zhigang
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-16
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Particle swarm optimization algorithm (PSOA) is an advantage optimization tool.
However, it has a tendency to get stuck in a near optimal solution especially for middle and large size problems and it is difficult to improve solution accuracy by fine-tuning parameters.
According to the insufficiency, this paper researches the local and global search combine particle swarm algorithm (LGSCPSOA), and its convergence and obtains its convergence qualification.
At the same time, it is tested with a set of 8 benchmark continuous functions and compared their optimization results with original particle swarm algorithm (OPSOA).
Experimental results indicate that the LGSCPSOA improves the search performance especially on the middle and large size benchmark functions significantly.
American Psychological Association (APA)
Lin, Weitian& Lian, Zhigang& Gu, Xingsheng& Jiao, Bin. 2014. A Local and Global Search Combined Particle Swarm Optimization Algorithm and Its Convergence Analysis. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-506941
Modern Language Association (MLA)
Lin, Weitian…[et al.]. A Local and Global Search Combined Particle Swarm Optimization Algorithm and Its Convergence Analysis. Mathematical Problems in Engineering No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-506941
American Medical Association (AMA)
Lin, Weitian& Lian, Zhigang& Gu, Xingsheng& Jiao, Bin. A Local and Global Search Combined Particle Swarm Optimization Algorithm and Its Convergence Analysis. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-506941
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-506941