Application of a hybrid particle swarm optimization algorithm to dynamic holon reconfiguring problem

Zhao Fuqing; Hong Yi; Yu Dongmei; Zhang Qiuyu; Yang Yahong

doi:10.1109/SPCA.2006.297610

Application of a hybrid particle swarm optimization algorithm to dynamic holon reconfiguring problem

Zhao Fuqing, Hong Yi, Yu Dongmei, Zhang Qiuyu, Yang Yahong

Lanzhou University of Technology

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

2 Scopus citations

Abstract

In this paper, dynamic re-configuration and task optimization of (HMS) model is put forward. The concept of dynamic virtual clustering is extended to the control process of a holarchy or holonic organization. A taskoriented clustering mechanism and a corresponding optimization algorithm are presented as an efficient approach to the holonic control in HMS domain. A Hybrid Algorithm Based on PSO for Holon task allocation is described to support the optimum organization of a holarchy. Convergence property of PSO is analyzed to guide the parameter selection of it. The simulation results show that the proposed model and algorithm are effective.

Original language	English
Title of host publication	SPCA 2006
Subtitle of host publication	2006 First International Symposium on Pervasive Computing and Applications, Proceedings
Publisher	IEEE Computer Society
Pages	416-421
Number of pages	6
ISBN (Print)	1424403251, 9781424403257
DOIs	https://doi.org/10.1109/SPCA.2006.297610
State	Published - 2006
Externally published	Yes
Event	SPCA 2006: 2006 1st International Symposium on Pervasive Computing and Applications - Xinjiang, China Duration: 3 Aug 2006 → 5 Aug 2006

Publication series

Name	SPCA 2006: 2006 First International Symposium on Pervasive Computing and Applications, Proceedings

Conference

Conference	SPCA 2006: 2006 1st International Symposium on Pervasive Computing and Applications
Country/Territory	China
City	Xinjiang
Period	3/08/06 → 5/08/06

Keywords

Dynamic holon reconfiguration
Holonic manufacturing system
Particle swarm optimization

Access to Document

10.1109/SPCA.2006.297610

Cite this

Fuqing, Z., Yi, H., Dongmei, Y., Qiuyu, Z., & Yahong, Y. (2006). Application of a hybrid particle swarm optimization algorithm to dynamic holon reconfiguring problem. In SPCA 2006: 2006 First International Symposium on Pervasive Computing and Applications, Proceedings (pp. 416-421). Article 4079181 (SPCA 2006: 2006 First International Symposium on Pervasive Computing and Applications, Proceedings). IEEE Computer Society. https://doi.org/10.1109/SPCA.2006.297610

Fuqing, Zhao ; Yi, Hong ; Dongmei, Yu et al. / Application of a hybrid particle swarm optimization algorithm to dynamic holon reconfiguring problem. SPCA 2006: 2006 First International Symposium on Pervasive Computing and Applications, Proceedings. IEEE Computer Society, 2006. pp. 416-421 (SPCA 2006: 2006 First International Symposium on Pervasive Computing and Applications, Proceedings).

@inproceedings{09a06120b5ba45bf920dbe3bd4092b00,

title = "Application of a hybrid particle swarm optimization algorithm to dynamic holon reconfiguring problem",

abstract = "In this paper, dynamic re-configuration and task optimization of (HMS) model is put forward. The concept of dynamic virtual clustering is extended to the control process of a holarchy or holonic organization. A taskoriented clustering mechanism and a corresponding optimization algorithm are presented as an efficient approach to the holonic control in HMS domain. A Hybrid Algorithm Based on PSO for Holon task allocation is described to support the optimum organization of a holarchy. Convergence property of PSO is analyzed to guide the parameter selection of it. The simulation results show that the proposed model and algorithm are effective.",

keywords = "Dynamic holon reconfiguration, Holonic manufacturing system, Particle swarm optimization",

author = "Zhao Fuqing and Hong Yi and Yu Dongmei and Zhang Qiuyu and Yang Yahong",

year = "2006",

doi = "10.1109/SPCA.2006.297610",

language = "英语",

isbn = "1424403251",

series = "SPCA 2006: 2006 First International Symposium on Pervasive Computing and Applications, Proceedings",

publisher = "IEEE Computer Society",

pages = "416--421",

booktitle = "SPCA 2006",

note = "SPCA 2006: 2006 1st International Symposium on Pervasive Computing and Applications ; Conference date: 03-08-2006 Through 05-08-2006",

}

Fuqing, Z, Yi, H, Dongmei, Y, Qiuyu, Z & Yahong, Y 2006, Application of a hybrid particle swarm optimization algorithm to dynamic holon reconfiguring problem. in SPCA 2006: 2006 First International Symposium on Pervasive Computing and Applications, Proceedings., 4079181, SPCA 2006: 2006 First International Symposium on Pervasive Computing and Applications, Proceedings, IEEE Computer Society, pp. 416-421, SPCA 2006: 2006 1st International Symposium on Pervasive Computing and Applications, Xinjiang, China, 3/08/06. https://doi.org/10.1109/SPCA.2006.297610

Application of a hybrid particle swarm optimization algorithm to dynamic holon reconfiguring problem. / Fuqing, Zhao; Yi, Hong; Dongmei, Yu et al.
SPCA 2006: 2006 First International Symposium on Pervasive Computing and Applications, Proceedings. IEEE Computer Society, 2006. p. 416-421 4079181 (SPCA 2006: 2006 First International Symposium on Pervasive Computing and Applications, Proceedings).

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

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T1 - Application of a hybrid particle swarm optimization algorithm to dynamic holon reconfiguring problem

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AU - Qiuyu, Zhang

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N2 - In this paper, dynamic re-configuration and task optimization of (HMS) model is put forward. The concept of dynamic virtual clustering is extended to the control process of a holarchy or holonic organization. A taskoriented clustering mechanism and a corresponding optimization algorithm are presented as an efficient approach to the holonic control in HMS domain. A Hybrid Algorithm Based on PSO for Holon task allocation is described to support the optimum organization of a holarchy. Convergence property of PSO is analyzed to guide the parameter selection of it. The simulation results show that the proposed model and algorithm are effective.

AB - In this paper, dynamic re-configuration and task optimization of (HMS) model is put forward. The concept of dynamic virtual clustering is extended to the control process of a holarchy or holonic organization. A taskoriented clustering mechanism and a corresponding optimization algorithm are presented as an efficient approach to the holonic control in HMS domain. A Hybrid Algorithm Based on PSO for Holon task allocation is described to support the optimum organization of a holarchy. Convergence property of PSO is analyzed to guide the parameter selection of it. The simulation results show that the proposed model and algorithm are effective.

KW - Dynamic holon reconfiguration

KW - Holonic manufacturing system

KW - Particle swarm optimization

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DO - 10.1109/SPCA.2006.297610

M3 - 会议稿件

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SN - 1424403251

SN - 9781424403257

T3 - SPCA 2006: 2006 First International Symposium on Pervasive Computing and Applications, Proceedings

SP - 416

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BT - SPCA 2006

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T2 - SPCA 2006: 2006 1st International Symposium on Pervasive Computing and Applications

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Fuqing Z, Yi H, Dongmei Y, Qiuyu Z, Yahong Y. Application of a hybrid particle swarm optimization algorithm to dynamic holon reconfiguring problem. In SPCA 2006: 2006 First International Symposium on Pervasive Computing and Applications, Proceedings. IEEE Computer Society. 2006. p. 416-421. 4079181. (SPCA 2006: 2006 First International Symposium on Pervasive Computing and Applications, Proceedings). doi: 10.1109/SPCA.2006.297610

Application of a hybrid particle swarm optimization algorithm to dynamic holon reconfiguring problem

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