基于多代理和遗传算法的协同生产调度研究  

Cooperated Production Scheduling by Multi-Agent and Genetic Algorithm

作　　者：凌亚群[1] 陈伟达[1] 

机构地区：[1]东南大学经济管理学院,江苏南京210096

出　　处：《工业工程》2006年第2期30-33,共4页Industrial Engineering Journal

基　　金：东南大学社会科学基金资助项目(XJ031407)

摘　　要：针对经典作业车间调度(Job-Shop Scheduling)问题的局限性,结合实际生产情况,提出了基于多代理机制的供应链环境下的企业间的协同生产调度(Cooperated production scheduling)系统的体系结构,结合多代理的灵活性和遗传算法的全局优化性,阐述了一种基于多代理和遗传算法的协同调度系统,并寻求适合于这种供应链环境的优化调度方案。To overcome shortcomings of classical job-shop scheduling, this article presents a multi-agent based cooperated production scheduling system architecture for enterprises in supply chain. In terms of the flexibility of MAS and the global optimizing ability of GA, the article discusses a dynamic scheduling system based on multiagent systems（MAS）and genetic algorithms（GA）, so as to find optimal schedules in supply chain circumstances.

关 键 词：协同生产调度 遗传算法 多代理 JTT 

分 类 号：TH165[机械工程—机械制造及自动化] O242.23[理学—计算数学]