| 基于多代理和遗传算法的协同生产调度研究 |
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| 引用本文： | 凌亚群,陈伟达.基于多代理和遗传算法的协同生产调度研究[J].工业工程,2006,9(2):30-33. |
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| 作者姓名： | 凌亚群 陈伟达 |
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| 作者单位： | 东南大学,经济管理学院,江苏,南京,210096 |
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| 基金项目： | 东南大学校科研和教改项目 |
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| 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.
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| 关 键 词： | 协同生产调度 遗传算法 多代理 JIT |
| 文章编号： | 1007-7375(2006)02-0030-04 |
| 收稿时间： | 2005-06-09 |
| 修稿时间： | 2005年6月9日 |
Cooperated Production Scheduling by Multi-Agent and Genetic Algorithm |
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| LING Ya-qun,CHEN Wei-da.Cooperated Production Scheduling by Multi-Agent and Genetic Algorithm[J].Industrial Engineering Journal,2006,9(2):30-33. |
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| Authors: | LING Ya-qun CHEN Wei-da |
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| Affiliation: | School of Economics and Management, Southeast University, Nanjing 210096, China |
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| Abstract: | 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 multi-agent systems(MAS)and genetic algorithms(GA),so as to find optimal schedules in supply chain circumstances. |
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| Keywords: | cooperated production scheduling genetic algorithm multi-agent JTT |
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