Flow Shop Production Scheduling Under Uncertainty within Infinite Intermediate Storage

被引：1
|
作者：
Chen, Qunxian [1 ]
Jiao, Bin [2 ]
Yan, Shaobin [3 ]
机构：
[1] Shanghai DianJi Univ, Elect Informat Sch, 690 Jiang Chuan Rd, Shanghai 200240, Peoples R China
[2] Shanghai DianJi Univ, Elect Sch, Shanghai 200240, Peoples R China
[3] East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200370, Peoples R China
来源：
ADVANCED RESEARCH ON INDUSTRY, INFORMATION SYSTEMS AND MATERIAL ENGINEERING, PTS 1-7 | 2011年 / 204-210卷
关键词：
uncertainty; fuzzy programming; Flow Shop scheduling problem; cooperative co-evolutionary particle swarm optimization algorithm; PROCESSING TIMES; FUZZY; COEVOLUTION;
D O I：
10.4028/www.scientific.net/AMR.204-210.777
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
As to current situation of research on production scheduling under uncertainties in enterprises, Flow Shop production scheduling model is established based on the theory of fuzzy programming, in which fuzzy processing time is considered and the duration time of intermediate is unlimited. The maximum membership function of mean value has been applied to solve the non-linear fuzzy scheduling model in order to convert the fuzzy optimization problem to the general optimization problem. Finally, a cooperative co-evolutionary particle swarm optimization algorithm based on catastrophe added to improve the diversity of the swarm (CCPSO) is adopted to solve Flow Shop Production Scheduling Under Uncertainty within Infinite Intermediate Storage and results are obtained effectively.
引用
收藏
页码：777 / +
页数：2
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