文献类型：会议论文

英文题名：Flow shop scheduling problems under uncertainty based on fuzzy cut-set

作者：Xu, Zhenhao[1]; Gu, Xingsheng[1]

机构：[1] Research Institute of Automation, East China University of Science and Technology, Shanghai 200237, China

会议论文集：Advances in Natural Computation: First International Conference, ICNC 2005. Proceedings

会议日期：August 27, 2005 - August 29, 2005

会议地点：Changsha, China

语种：英文

外文关键词：Fuzzy control - Iterative methods - Mathematical models - Scheduling

摘要：Production scheduling is an important part in the factories, and there are various uncertainties in the production scheduling of industrial processes. A scheduling mathematical model for flow shop problems with uncertain processing time has been established based on fuzzy programming theory. And in this paper, the fuzzy model can be translated into two mathematical models about the characteristic of scheduling problems. Furthermore, a fuzzy immune scheduling algorithm combined with the feature of the Immune Algorithm is proposed, which prevents the possibility of stagnation in the iteration process and achieves fast convergence for global optimization. The effectiveness and efficiency of the fuzzy scheduling model and the proposed algorithm are demonstrated by simulation results. ? Springer-Verlag Berlin Heidelberg 2005.