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

来源：

PROCEEDINGS OF THE 2000 WINTER SIMULATION CONFERENCE, VOLS 1 AND 2 | 2000年

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

页码：1339 / 1343

页数：5

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