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2000

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

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Simulation of an evolutionary tuned fuzzy dispatching system for automated guided vehicles
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.
Kok Kiong Tan, K. Z. Tang
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2000
Where WSC
Authors Kok Kiong Tan, K. Z. Tang
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