%0 Journal Article
%T Dynamic scheduling based self-learning mechanism in JSP<br>一种具有自学习能力的动态调度决策机制*
%A WANG Chao
%A GUO Jing
%A BAO Zhen-qiang
%A <br>王超
%A 郭静
%A 包振强
%J 计算机应用研究
%D 2010
%I 
%X The resource distributions in JSP are based on the experience of experts, the scheduling rules are obtained by the rough and fuzzy sets. These rules have a higher reliability in a short time. But with the rapidly changing manufacturing environment, obsolescence of knowledge is an inevitable problem. This paper presented a dynamic scheduling mechanism with self-learning ability. The knowledge was updated by a two-way learning algorithm, so that the system could sense the changes in environment automatically and update the knowledge. Finally, the decision-making and knowledge update algorithm were described and analyzed by simulation.
%K dynamic scheduling
%K contract net protocol
%K reinforcement learning
%K self-learning<br>动态调度
%K 合同网
%K 强化学习
%K 自学习
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=5827CF5112B4DBE25269214529853DCD&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=F3090AE9B60B7ED1&sid=6383F518D23FEB87&eid=10E75313DC0445DA&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=9