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基于多Agent和遗传算法的制造网格资源调度
引用本文:赵付青,李瑞生.基于多Agent和遗传算法的制造网格资源调度[J].兰州理工大学学报,2007,33(6):85-88.
作者姓名:赵付青  李瑞生
作者单位:1. 兰州理工大学,计算机与通信学院,甘肃,兰州,730050
2. 兰州理工大学,计算机与通信学院,甘肃,兰州,730050;甘肃政法学院,计算机科学学院,甘肃,兰州,730070
摘    要:为了保障用户的多QoS要求,在制造网格资源调度中引入灵活健壮的协商机制和高效的资源调度算法尤显重要.为此提出基于多Agent的制造网格资源调度方法,运用合同网协议作为多Agent的协作协议并根据制造网格资源调度需求运用遗传算法作为资源优化组合的算法.综合应用多Agent开发工具JADE和遗传算法工具包JGAP进行模拟调度实验,证明了方法的有效性.

关 键 词:制造网格  多Agent  资源调度  遗传算法
文章编号:1673-5196(2007)06-0085-04
收稿时间:2007-07-18
修稿时间:2007年7月18日

Manufacturing grid scheduling based on multi-agent and genetic algorithm
ZHAO Fu-qing,LI Rui-sheng.Manufacturing grid scheduling based on multi-agent and genetic algorithm[J].Journal of Lanzhou University of Technology,2007,33(6):85-88.
Authors:ZHAO Fu-qing  LI Rui-sheng
Abstract:In order to satisfy the multi-QoS requirement of the users in the manufacturing grid scheduling,a flexible and robust negotiation mechanism and scheduling algorithm were needed.Therefore a multi-agent based scheduling approach for the manufacturing grid was proposed.Contract net protocol for multi-agent cooperation and negotiation mechanism were employed,and then a genetic algorithm as scheduling algorithm was also used.An experiment was conducted based on JADE and JGAP to testify this approach.Simulation result showed that the method was effective.
Keywords:manufacturing grid  multi-agent  scheduling  genetic algorithm
本文献已被 CNKI 维普 万方数据 等数据库收录!
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