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

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publicationSPCA 2006
Subtitle of host publication2006 First International Symposium on Pervasive Computing and Applications, Proceedings
PublisherIEEE Computer Society
Pages416-421
Number of pages6
ISBN (Print)1424403251, 9781424403257
DOIs
StatePublished - 2006
Externally publishedYes
EventSPCA 2006: 2006 1st International Symposium on Pervasive Computing and Applications - Xinjiang, China
Duration: 3 Aug 20065 Aug 2006

Publication series

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

Conference

ConferenceSPCA 2006: 2006 1st International Symposium on Pervasive Computing and Applications
Country/TerritoryChina
CityXinjiang
Period3/08/065/08/06

Keywords

  • Dynamic holon reconfiguration
  • Holonic manufacturing system
  • Particle swarm optimization

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