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dc.titleSimulation of an evolutionary tuned fuzzy dispatching system for automated guided vehicles
dc.contributor.authorTan, K.K.
dc.contributor.authorTang, K.Z.
dc.identifier.citationTan, 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.
dc.description.abstractThis 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.
dc.typeConference Paper
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.sourcetitleWinter Simulation Conference Proceedings
Appears in Collections:Staff Publications

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