Migration & competition-based particle swarm optimization for parameter estimation

Ziwu Ren; Zhenhua Wang; Lining Sun

doi:10.1109/WCICA.2012.6357948

Migration & competition-based particle swarm optimization for parameter estimation

Ziwu Ren^*
, Zhenhua Wang
, Lining Sun

^*Corresponding author for this work

Soochow University

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

1 Scopus citations

Abstract

Enlightened by some knowledge of ecology and swarm competition, an improved multigrouped particle swarm optimization based on migration and competition, namely PSOMC, is proposed for parameters estimation of non-linear systems. The PSOMC is not concerned with the evolution of a single population, but instead is concerned with the evolution of multiple parallel swarms; moreover it incorporates some concepts, such as reintroduction, swarm competition, adjustment of swarm size, migration of particles between the swarm, and recycling, to enhance the global exploration ability and the local exploitation capability. Numerical simulations of two benchmark functions are used to test the performance of PSOMC. Furthermore, simulation on three different kinds of models is given to illustrate the effectiveness and efficiency of the proposed parameters estimation scheme.

Original language	English
Title of host publication	WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation
Pages	590-595
Number of pages	6
DOIs	https://doi.org/10.1109/WCICA.2012.6357948
State	Published - 2012
Externally published	Yes
Event	10th World Congress on Intelligent Control and Automation, WCICA 2012 - Beijing, China Duration: 6 Jul 2012 → 8 Jul 2012

Publication series

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

Conference

Conference	10th World Congress on Intelligent Control and Automation, WCICA 2012
Country/Territory	China
City	Beijing
Period	6/07/12 → 8/07/12

Keywords

Particle swarm optimization
competition
migration
nonlinear model
parameter estimation

Access to Document

10.1109/WCICA.2012.6357948

Cite this

Ren, Z., Wang, Z., & Sun, L. (2012). Migration & competition-based particle swarm optimization for parameter estimation. In WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation (pp. 590-595). Article 6357948 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA)). https://doi.org/10.1109/WCICA.2012.6357948

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title = "Migration \& competition-based particle swarm optimization for parameter estimation",

abstract = "Enlightened by some knowledge of ecology and swarm competition, an improved multigrouped particle swarm optimization based on migration and competition, namely PSOMC, is proposed for parameters estimation of non-linear systems. The PSOMC is not concerned with the evolution of a single population, but instead is concerned with the evolution of multiple parallel swarms; moreover it incorporates some concepts, such as reintroduction, swarm competition, adjustment of swarm size, migration of particles between the swarm, and recycling, to enhance the global exploration ability and the local exploitation capability. Numerical simulations of two benchmark functions are used to test the performance of PSOMC. Furthermore, simulation on three different kinds of models is given to illustrate the effectiveness and efficiency of the proposed parameters estimation scheme.",

keywords = "Particle swarm optimization, competition, migration, nonlinear model, parameter estimation",

author = "Ziwu Ren and Zhenhua Wang and Lining Sun",

year = "2012",

doi = "10.1109/WCICA.2012.6357948",

language = "英语",

isbn = "9781467313988",

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

pages = "590--595",

booktitle = "WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation",

note = "10th World Congress on Intelligent Control and Automation, WCICA 2012 ; Conference date: 06-07-2012 Through 08-07-2012",

}

Ren, Z, Wang, Z & Sun, L 2012, Migration & competition-based particle swarm optimization for parameter estimation. in WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation., 6357948, Proceedings of the World Congress on Intelligent Control and Automation (WCICA), pp. 590-595, 10th World Congress on Intelligent Control and Automation, WCICA 2012, Beijing, China, 6/07/12. https://doi.org/10.1109/WCICA.2012.6357948

Migration & competition-based particle swarm optimization for parameter estimation. / Ren, Ziwu; Wang, Zhenhua; Sun, Lining.
WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation. 2012. p. 590-595 6357948 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA)).

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

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AU - Ren, Ziwu

AU - Wang, Zhenhua

AU - Sun, Lining

PY - 2012

Y1 - 2012

N2 - Enlightened by some knowledge of ecology and swarm competition, an improved multigrouped particle swarm optimization based on migration and competition, namely PSOMC, is proposed for parameters estimation of non-linear systems. The PSOMC is not concerned with the evolution of a single population, but instead is concerned with the evolution of multiple parallel swarms; moreover it incorporates some concepts, such as reintroduction, swarm competition, adjustment of swarm size, migration of particles between the swarm, and recycling, to enhance the global exploration ability and the local exploitation capability. Numerical simulations of two benchmark functions are used to test the performance of PSOMC. Furthermore, simulation on three different kinds of models is given to illustrate the effectiveness and efficiency of the proposed parameters estimation scheme.

AB - Enlightened by some knowledge of ecology and swarm competition, an improved multigrouped particle swarm optimization based on migration and competition, namely PSOMC, is proposed for parameters estimation of non-linear systems. The PSOMC is not concerned with the evolution of a single population, but instead is concerned with the evolution of multiple parallel swarms; moreover it incorporates some concepts, such as reintroduction, swarm competition, adjustment of swarm size, migration of particles between the swarm, and recycling, to enhance the global exploration ability and the local exploitation capability. Numerical simulations of two benchmark functions are used to test the performance of PSOMC. Furthermore, simulation on three different kinds of models is given to illustrate the effectiveness and efficiency of the proposed parameters estimation scheme.

KW - Particle swarm optimization

KW - competition

KW - migration

KW - nonlinear model

KW - parameter estimation

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M3 - 会议稿件

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SN - 9781467313988

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

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BT - WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation

T2 - 10th World Congress on Intelligent Control and Automation, WCICA 2012

Y2 - 6 July 2012 through 8 July 2012

ER -

Migration & competition-based particle swarm optimization for parameter estimation

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Keywords

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