Order Form Selection and Evaluation Model based on Particle Swarm Optimization(PSO) for Task Holon
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.
Holonic Manufacturing Control Dynamic Clustering order form selection Particle Swarm Optimization Optimum Control
Fuqing ZHAO Qiuyu ZHANG Yahong YANG
School of Computer and Communication Engineering Lanzhou University of Technology Lanzhou,Gansu,7300 College of Civil Engineering Lanzhou University of Technology Lanzhou,Gansu, 730050,P.R.China
国际会议
2007 IEEE International Conference on Automation and Lofistics
山东济南
英文
2007-08-18(万方平台首次上网日期,不代表论文的发表时间)