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

Authors:
K. K. Tan;K. Z. Tang
Affiliations:
National University of Singapore, 3 117576, SINGAPORE;National University of Singapore, 3 117576, SINGAPORE
Venue:
Proceedings of the 32nd conference on Winter simulation
Year:
2000

Citing 3
Cited 0

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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.