A scheduling holon model with time Petri net and its solution with a novel PSO-GA algorithm | |
Yao, Yunping2; Li, Youtang2; Zhao, Fuqing2; Yang, Yahong1 | |
2006 | |
会议日期 | June 21, 2006 - June 23, 2006 |
会议地点 | Dalian, China |
关键词 | Computer simulation Genetic algorithms Hierarchical systems Optimization Petri nets Problem solving Holonie manufacturing system Particle swarm optimization Time Petri net |
卷号 | 2 |
DOI | 10.1109/WCICA.2006.1714362 |
页码 | 6616-6620 |
英文摘要 | Holonie manufacturing is a highly distributed control paradigm based on a kind of autonomous and cooperative entity called "holon". It can both guarantee performance stability, predictability and global optimization of hierarchical control, and provide flexibility and adaptability of heterarchical control. In this paper, A Time Fetri net (TPN) model was proposed to achieve this goal. A TPN represents a set of established contracts among the agents in HMS to fulfill an order.The proposed hybrid particle swarm optimization and genetic algorithm(HPGA) is used to solve the scheduling model which synthesizes the merits in both PSO and GA. It is a simple and yet effective model to handle different kinds of continuous optimization problems. The simulation results of the example show that the methods to scheduling holon are effective for fulfilling the scheduling problem is feasible. © 2006 IEEE. |
会议录 | Proceedings of the World Congress on Intelligent Control and Automation (WCICA) |
会议录出版者 | Institute of Electrical and Electronics Engineers Inc., 445 Hoes Lane / P.O. Box 1331, Piscataway, NJ 08855-1331, United States |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.lut.edu.cn/handle/2XXMBERH/116988] |
专题 | 学报编辑部 机电工程学院 土木工程学院 国际合作处(港澳台办) |
作者单位 | 1.School of Civil Engineering, Lanzhou University of Technology, Lanzhou, Gansu, 730050, China 2.School of Mechanical and Electronical Engineering, Lanzhou University of Technology, Lanzhou, Gansu, 730050, China; |
推荐引用方式 GB/T 7714 | Yao, Yunping,Li, Youtang,Zhao, Fuqing,et al. A scheduling holon model with time Petri net and its solution with a novel PSO-GA algorithm[C]. 见:. Dalian, China. June 21, 2006 - June 23, 2006. |
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