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A novel task allocation problem solution with PSO algorithm for holonic manufacturing system
Zhao, Fuqing1; Zhang, Qiuyu1; Yang, Yahong2
2006
关键词holonic manufacturing control dynamic clustering particle swarm optimization genetic algorithm optimum control
页码1308-1313
英文摘要The dynamic re-organization of holons is a key element of current research on HMS. Dynamic intelligent reconfiguration is important for holonic control. This paper extends the mechanism of virtual clustering. to the reorganization of holons and uses Contract Net-based task allocation protocol to efficiently deal with the communication and coordination problems during task-oriented clustering. The PSO-based virtual clustering optimization algorithm described in this paper can solve the optimization problem of task allocation on the basis of global optimization. The hybrid algorithm combines the high speed of PSO with the powerful ability to avoid being trapped in local minimum of SA. We compare the PSO algorithm to both GA and SA models, the simulation results show that the proposed model and algorithm are effective.
会议录2006 10TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN, PROCEEDINGS, VOLS 1 AND 2
会议录出版者IEEE
会议录出版地345 E 47TH ST, NEW YORK, NY 10017 USA
语种英语
资助项目Natural Science foundation of GANSU province[ZS032-B25- 013][3ZS042-B25-005]
WOS研究方向Computer Science
WOS记录号WOS:000241246300237
内容类型会议论文
源URL[http://119.78.100.223/handle/2XXMBERH/38251]  
专题计算机与通信学院
土木工程学院
国际合作处(港澳台办)
通讯作者Zhao, Fuqing
作者单位1.Lanzhou Univ Technol, Sch Comp & Commun Engn, Lanzhou 730050, Gansu, Peoples R China
2.Lanzhou Univ Technol, Sch Civil Engn, Lanzhou 730050, Gansu, Peoples R China
推荐引用方式
GB/T 7714
Zhao, Fuqing,Zhang, Qiuyu,Yang, Yahong. A novel task allocation problem solution with PSO algorithm for holonic manufacturing system[C]. 见:.
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