Improved Barebones Particle Swarm Optimization with Neighborhood Search and Its Application on Ship Design
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-02-13
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Barebones particle swarm optimization (BPSO) is a new PSO variant, which has shown a good performance on many optimization problems.
However, similar to the standard PSO, BPSO also suffers from premature convergence when solving complex optimization problems.
In order to improve the performance of BPSO, this paper proposes a new BPSO variant called BPSO with neighborhood search (NSBPSO) to achieve a tradeoff between exploration and exploitation during the search process.
Experiments are conducted on twelve benchmark functions and a real-world problem of ship design.
Simulation results demonstrate that our approach outperforms the standard PSO, BPSO, and six other improved PSO algorithms.
American Psychological Association (APA)
Yao, Jingzheng& Han, Duanfeng. 2013. Improved Barebones Particle Swarm Optimization with Neighborhood Search and Its Application on Ship Design. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1008611
Modern Language Association (MLA)
Yao, Jingzheng& Han, Duanfeng. Improved Barebones Particle Swarm Optimization with Neighborhood Search and Its Application on Ship Design. Mathematical Problems in Engineering No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-1008611
American Medical Association (AMA)
Yao, Jingzheng& Han, Duanfeng. Improved Barebones Particle Swarm Optimization with Neighborhood Search and Its Application on Ship Design. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1008611
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1008611