Simulation of an evolutionary tuned fuzzy dispatching system for automated guided vehicles

被引:0
|
作者
Tan, KK [1 ]
Tang, KZ [1 ]
机构
[1] Natl Univ Singapore, Dept Elect Engn, Singapore 3117576, Singapore
关键词
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper presents the development and simulation of a novel Genetic Algorithm (GA) based methodology applied to optimal tuning of a fuzzy dispatching system for a fleet of automated guided vehicles in a flexible manufacturing environment. The dispatching rules are further transformed into a continuously adaptive procedure to capitalize the online information available from a shop floor at all times. The entire problem is simulated using MATLAB/SIMULINK. The simulation results obtained show that GA is an efficient and effective tool to achieve optimal performance for the well-known NP-complete scheduling problem.
引用
收藏
页码:1339 / 1343
页数:5
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