Novel Particle Swarm Optimization and Its Application in Calibrating the Underwater Transponder Coordinates
Joint Authors
Deng, Chao
Li, Benyin
Zhou, Jiajia
Yan, Zheping
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-17
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
A novel improved particle swarm algorithm named competition particle swarm optimization (CPSO) is proposed to calibrate the Underwater Transponder coordinates.
To improve the performance of the algorithm, TVAC algorithm is introduced into CPSO to present an extension competition particle swarm optimization (ECPSO).
The proposed method is tested with a set of 10 standard optimization benchmark problems and the results are compared with those obtained through existing PSO algorithms, basic particle swarm optimization (BPSO), linear decreasing inertia weight particle swarm optimization (LWPSO), exponential inertia weight particle swarm optimization (EPSO), and time-varying acceleration coefficient (TVAC).
The results demonstrate that CPSO and ECPSO manifest faster searching speed, accuracy, and stability.
The searching performance for multimodulus function of ECPSO is superior to CPSO.
At last, calibration of the underwater transponder coordinates is present using particle swarm algorithm, and novel improved particle swarm algorithm shows better performance than other algorithms.
American Psychological Association (APA)
Yan, Zheping& Deng, Chao& Li, Benyin& Zhou, Jiajia. 2014. Novel Particle Swarm Optimization and Its Application in Calibrating the Underwater Transponder Coordinates. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-489286
Modern Language Association (MLA)
Yan, Zheping…[et al.]. Novel Particle Swarm Optimization and Its Application in Calibrating the Underwater Transponder Coordinates. Mathematical Problems in Engineering No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-489286
American Medical Association (AMA)
Yan, Zheping& Deng, Chao& Li, Benyin& Zhou, Jiajia. Novel Particle Swarm Optimization and Its Application in Calibrating the Underwater Transponder Coordinates. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-489286
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-489286