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Timed Petri-Net(TPN) based scheduling holon and its solution with a Hybrid PSO-GA based evolutionary algorithm(HPGA)
Zhao, Fuqing1; Yang, Yahong2; Zhang, Qiuyu1; Yi, Huawei1
2006
会议日期August 7, 2006 - August 11, 2006
会议地点Guilin, China
关键词Computer simulation Genetic algorithms Optimization Problem solving Scheduling Uncertain systems Holonic manufacturing systems (HMS) Population alternation Time Petri Nets (TPN)
卷号4099 LNAI
页码880-884
英文摘要Modern manufacturing systems have to cope with dynamic changes and uncertainties such as machine break down, hot orders and other kinds of disturbances. Holonic manufacturing systems (HMS) provide a flexible and decentralized manufacturing environment to accommodate changes dynamically. In this paper, A new class of Time Petri Nets(TPN), Buffer-nets, for defining a Scheduling Holon is proposed, which enhances the modeling techniques for manufacturing systems with features that are considered difficult to model. The proposed novel GA algorithm performs the population alternation according to the features of the evolution of the populations in natural. Simulation results show that the proposed GA is more efficient than standard GAs. The proposed HPGA synthesizes the merits in both PSO and GA. The simulation results of the example show that the methods to scheduling holon are effective for fulfilling the scheduling problem. © Springer-Verlag Berlin Heidelberg 2006.
会议录Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议录出版者Springer Verlag
语种英语
ISSN号03029743
WOS研究方向Computer Science
WOS记录号WOS:000240091500099
内容类型会议论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/116952]  
专题计算机与通信学院
国际合作处(港澳台办)
作者单位1.School of Computer and Communication, Lanzhou University of Technology, 730050 Lanzhou, China;
2.College of Civil Engineering, Lanzhou University of Techchnology, 730050 Lanzhou, China
推荐引用方式
GB/T 7714
Zhao, Fuqing,Yang, Yahong,Zhang, Qiuyu,et al. Timed Petri-Net(TPN) based scheduling holon and its solution with a Hybrid PSO-GA based evolutionary algorithm(HPGA)[C]. 见:. Guilin, China. August 7, 2006 - August 11, 2006.
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