现代制造工程Issue(12)：45-51,7.
基于二元增强学习架构的可重构制造系统调度
Dual reinforcement learning architecture based scheduling in reconfigurable manufacturing systems
摘要
Abstract
A dual Reinforcement Learning ( RL) framework based scheduling system is developed to deal with the scheduling problem on the reentrant reconfigurable manufacturing system. The reconfiguration RL system is constructed to optimize the usage of resources and reconfigure the manufacturing cells. The scheduling RL system is constructed to schedule the tasks for all manufacturing cells and optimize the processing routes and sequences for all products. The two RL systems are connected through state transition,action selection and reward acquisition. An adaptive RL algorithm combined with function approximation is proposed with the mechanism for learning and adjusting the number of learning steps. Experiments show the performance of the function ap-proximator and validate its effectiveness to minimize the makespan of the proposed scheduling problem.关键词
调度/增强学习/状态/行为/报酬Key words
scheduling/Reinforcement Learning(RL)/state/action/reward分类
机械制造引用本文复制引用
张智聪,郑力,胡开顺,赵少勇,李帅,黄辉宇..基于二元增强学习架构的可重构制造系统调度[J].现代制造工程,2011,(12):45-51,7.基金项目
广东省自然科学基金博士启动项目(9451170003003938) （9451170003003938）
教育部人文社会科学研究青年基金项目(10YJC630405) （10YJC630405）
东莞理工学院自然科学青年基金项目(2010ZQ18) （2010ZQ18）
