Convergence analysis of the particle swarm optimization with stochastic inertia weight

Qingguo Wang; Wenjun Yan; Wei Yao

doi:10.1109/WCICA.2010.5555059

Convergence analysis of the particle swarm optimization with stochastic inertia weight

Qingguo Wang, Wenjun Yan, Wei Yao

Zhejiang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

This paper summarized the convergence research of PSO and analyzed the global convergence of the swarm optimization particle algorithm(PSO) with stochastic inertia weight. At present, dealing with optimization problems in Engineering applications, PSO with stochastic inertia weight was always used, and had good performance. However, its theoretical foundation about stability was still relatively weak. Based on the theory of stochastic processes and the previous theoretical achievements, this paper presented a convergence condition for the stochastic weight system. Compared with the methods in the previous literature, the proposed method achieves better results. Simulations demonstrate the validity of the proposed method.

Original language	English
Title of host publication	2010 8th World Congress on Intelligent Control and Automation, WCICA 2010
Pages	356-361
Number of pages	6
DOIs	https://doi.org/10.1109/WCICA.2010.5555059
Publication status	Published - 2010
Externally published	Yes
Event	2010 8th World Congress on Intelligent Control and Automation, WCICA 2010 - Jinan, China Duration: 7 Jul 2010 → 9 Jul 2010

Publication series

Name	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Conference

Conference	2010 8th World Congress on Intelligent Control and Automation, WCICA 2010
Country/Territory	China
City	Jinan
Period	7/07/10 → 9/07/10

Keywords

Convergence
Particle swarm optimization (PSO)
Stochastic inertia weight
Stochastic processes

ASJC Scopus subject areas

Control and Systems Engineering
Software
Computer Science Applications

Access to Document

10.1109/WCICA.2010.5555059

Cite this

@inproceedings{46f0fb9961dc429eae6bcad69ee61ec6,

title = "Convergence analysis of the particle swarm optimization with stochastic inertia weight",

abstract = "This paper summarized the convergence research of PSO and analyzed the global convergence of the swarm optimization particle algorithm(PSO) with stochastic inertia weight. At present, dealing with optimization problems in Engineering applications, PSO with stochastic inertia weight was always used, and had good performance. However, its theoretical foundation about stability was still relatively weak. Based on the theory of stochastic processes and the previous theoretical achievements, this paper presented a convergence condition for the stochastic weight system. Compared with the methods in the previous literature, the proposed method achieves better results. Simulations demonstrate the validity of the proposed method.",

keywords = "Convergence, Particle swarm optimization (PSO), Stochastic inertia weight, Stochastic processes",

author = "Qingguo Wang and Wenjun Yan and Wei Yao",

year = "2010",

doi = "10.1109/WCICA.2010.5555059",

language = "English",

isbn = "9781424467129",

series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

pages = "356--361",

booktitle = "2010 8th World Congress on Intelligent Control and Automation, WCICA 2010",

note = "2010 8th World Congress on Intelligent Control and Automation, WCICA 2010 ; Conference date: 07-07-2010 Through 09-07-2010",

}

Wang, Q, Yan, W & Yao, W 2010, Convergence analysis of the particle swarm optimization with stochastic inertia weight. in 2010 8th World Congress on Intelligent Control and Automation, WCICA 2010., 5555059, Proceedings of the World Congress on Intelligent Control and Automation (WCICA), pp. 356-361, 2010 8th World Congress on Intelligent Control and Automation, WCICA 2010, Jinan, China, 7/07/10. https://doi.org/10.1109/WCICA.2010.5555059

Convergence analysis of the particle swarm optimization with stochastic inertia weight. / Wang, Qingguo; Yan, Wenjun; Yao, Wei.
2010 8th World Congress on Intelligent Control and Automation, WCICA 2010. 2010. p. 356-361 5555059 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Convergence analysis of the particle swarm optimization with stochastic inertia weight

AU - Wang, Qingguo

AU - Yan, Wenjun

AU - Yao, Wei

PY - 2010

Y1 - 2010

N2 - This paper summarized the convergence research of PSO and analyzed the global convergence of the swarm optimization particle algorithm(PSO) with stochastic inertia weight. At present, dealing with optimization problems in Engineering applications, PSO with stochastic inertia weight was always used, and had good performance. However, its theoretical foundation about stability was still relatively weak. Based on the theory of stochastic processes and the previous theoretical achievements, this paper presented a convergence condition for the stochastic weight system. Compared with the methods in the previous literature, the proposed method achieves better results. Simulations demonstrate the validity of the proposed method.

AB - This paper summarized the convergence research of PSO and analyzed the global convergence of the swarm optimization particle algorithm(PSO) with stochastic inertia weight. At present, dealing with optimization problems in Engineering applications, PSO with stochastic inertia weight was always used, and had good performance. However, its theoretical foundation about stability was still relatively weak. Based on the theory of stochastic processes and the previous theoretical achievements, this paper presented a convergence condition for the stochastic weight system. Compared with the methods in the previous literature, the proposed method achieves better results. Simulations demonstrate the validity of the proposed method.

KW - Convergence

KW - Particle swarm optimization (PSO)

KW - Stochastic inertia weight

KW - Stochastic processes

UR - http://www.scopus.com/inward/record.url?scp=77958143025&partnerID=8YFLogxK

U2 - 10.1109/WCICA.2010.5555059

DO - 10.1109/WCICA.2010.5555059

M3 - Conference contribution

AN - SCOPUS:77958143025

SN - 9781424467129

T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

SP - 356

EP - 361

BT - 2010 8th World Congress on Intelligent Control and Automation, WCICA 2010

T2 - 2010 8th World Congress on Intelligent Control and Automation, WCICA 2010

Y2 - 7 July 2010 through 9 July 2010

ER -

Convergence analysis of the particle swarm optimization with stochastic inertia weight

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this