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2000

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

14 years 25 days ago
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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