Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/72919
Title: Simulation of an evolutionary tuned fuzzy dispatching system for automated guided vehicles
Authors: Tan, K.K. 
Tang, K.Z. 
Issue Date: 2000
Citation: Tan, K.K.,Tang, K.Z. (2000). Simulation of an evolutionary tuned fuzzy dispatching system for automated guided vehicles. Winter Simulation Conference Proceedings 2 : 1339-1343. ScholarBank@NUS Repository.
Abstract: 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.
Source Title: Winter Simulation Conference Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/72919
ISSN: 02750708
Appears in Collections:Staff Publications

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