DocumentCode :
3474108
Title :
Order Form Selection and Evaluation Model based on Particle Swarm Optimization(PSO) for Task Holon
Author :
Zhao, Fuqing ; Zhang, Qiuyu ; Yang, Yahong
Author_Institution :
Lanzhou Univ. of Technol., Lanzhou
fYear :
2007
fDate :
18-21 Aug. 2007
Firstpage :
1783
Lastpage :
1788
Abstract :
Holonic Manufacturing System (HMS) is a new concept for enterprise reconfiguration, order form selection and evaluation are very important problem in task allocation and carry out. This paper focuses on the dynamic re-configuration and task optimization of HMS. The concept of dynamic virtual clustering is extended to the control process of a holarchy or holonic organization. A task-oriented clustering mechanism and a corresponding optimization algorithm are presented as an efficient approach to the holonic control in the HMS domain. Simulation results show that the proposed model and algorithm are effective.
Keywords :
intelligent manufacturing systems; particle swarm optimisation; pattern clustering; virtual manufacturing; dynamic virtual clustering; enterprise reconfiguration; holonic manufacturing control system; order form evaluation model; order form selection; particle swarm optimization; task holon; task-oriented clustering mechanism; Dynamic Clustering; Holonic Manufacturing Control; Optimum Control; Particle Swarm Optimization; order form selection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Logistics, 2007 IEEE International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-1531-1
Type :
conf
DOI :
10.1109/ICAL.2007.4338863
Filename :
4338863
Link To Document :
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