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Multi-agent Co-evolutionary Scheduling Approach based on Genetic Reinforcement Learning
Wei YZ(魏英姿); Jiang, Xinli; Gu KF(谷侃锋)
作者部门现代装备研究室
会议名称5th International Conference on Natural Computation, ICNC 2009
会议日期August 14-16, 2009
会议地点Tianjian, China
会议主办者Tianjin University of Technology
会议录名称5th International Conference on Natural Computation, ICNC 2009
出版者IEEE Computer Society
出版地Piscataway, NJ, USA
2009
页码573-577
收录类别EI
EI收录号20101512839844
产权排序2
ISBN号978-0-7695-3736-8
摘要The paper presents an adaptive iterative distributed scheduling algorithm that operates dynamically to schedule the job in the dynamic job-shop. The manufacturing system is scheduled by the multi-agent system where every machine and job is associated with its own software agent. Each agent learns how to select presumably good schedules, by this way the size of the search space can be reduced. In order to get adaptive behavior, genetic algorithm is incorporated to drive parallel search and the evolution direction. Meanwhile, the reinforcement learning system is done with the phased Q-learning by defining the intermediate state pattern. The paper suggests a cooperation technique for the agents, as well. We also analyze the time and the solution and present some experimental results.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/19981
专题装备制造技术研究室
通讯作者Wei YZ(魏英姿)
作者单位1.Shenyang Ligong University, Shenyang 110168, China
2.Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110016, China
推荐引用方式
GB/T 7714
Wei YZ,Jiang, Xinli,Gu KF. Multi-agent Co-evolutionary Scheduling Approach based on Genetic Reinforcement Learning[C]//Tianjin University of Technology. Piscataway, NJ, USA:IEEE Computer Society,2009:573-577.
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