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|Title:||Simulation of an evolutionary tuned fuzzy dispatching system for automated guided vehicles||Authors:||Tan, K.K.
|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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