摘要
针对多目标、多加工路径选择的柔性制造系统 ( FMS)散件调度特点 ,提出一种带可控因素的神经网络模型 .用灵活的规则推理体现 FMS的系统目标 ,用可靠的神经网络演算解决非线性问题的优化组合 。
According to the requirementcharacteristics of a complex flexible manufacturing systems( FMS) job- shop scheduling,such as multiple objectives and alternate processing plans,a neural network model which keeps some special controllable factorwas presented.By using flexible dispatching rules and reliable neural networks,it is possible matching the working requirement of FMS and computing the non- linear problem solution ofoptimizing grouping.The results ofintegrity and adaptability ofthe system were simul- taneously obtained at a low cost.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2000年第5期661-664,共4页
Journal of Shanghai Jiaotong University
基金
国家自然科学基金 ( 5 98895 0 5 )
西安交通大学机械系国家重点实验室资助
关键词
神经网络
散件调度
多目标加工工艺
FMS
flexible manufacturing systems
neural network
controllable rules
job- shop scheduling
