The server is under maintenance between 08:00 to 12:00 (GMT+08:00), and please visit later.
We apologize for any inconvenience caused
Login  | Sign Up  |  Oriprobe Inc. Feed
China/Asia On Demand
Journal Articles
Laws/Policies/Regulations
Companies/Products
Research on Multi Agent Reinforcement Learning Based Dynamic Coordination Mechanism for Wartime Spares Support
Author(s): 
Pages: 59-63
Year: Issue:  3
Journal: Journal of Air Force Engineering University(Natural Science Edition)

Keyword:  战时备件供应保障系统动态协调机制多Agent系统;
Abstract: 有效的备件供应保障是保证航空装备处于良好状态的重要因素.战时备件供应保障的不确定性特点突出.为了应对这些不确定,精确保障要求下战时备件供应保障更加强调备件资源在系统中的动态协调.鉴于战时备件供应保障系统与多Agent系统的相似性,采用基于Agent的建模仿真技术研究多阶段供应保障过程中的动态协调机制.以Agent之间的供需关系为基础给出了多Agent系统模型结构中小组的定义.为了给出备件短缺情况下使军事效益最大的备件分配策略,设计出以小组为单位的多Agent强化学习方法.最后通过仿真实例验证了方法的有效性.
Related Articles
loading...