摘要
研究工件加权拖期总和最小化的动态 Job Shop调度问题 .提出了一个模糊调度系统 ,用以动态地选取启发式调度规则以求解该问题 .特别地 ,该系统具有从模糊规则和以前经验中学习的能力 .
This paper concerns with the dynamic job shop scheduling problem to minimize total weighted tardiness is studied. A fuzzy system approach is proposed to dynamically guide the selection of dispatching rules for different problem instances by learning from fuzzy rules and previous solutions. Several experiments are designed and conducted in different scenarios to evaluate the effectiveness of the fuzzy scheduling system against the traditional dispatching rules. Preliminary experimental results indicate that the fuzzy scheduling system is efficient and effective.
出处
《系统工程理论与实践》
EI
CSCD
北大核心
2001年第8期97-101,129,共6页
Systems Engineering-Theory & Practice