Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/81746
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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.date.accessioned2014-10-07T03:11:34Z
dc.date.available2014-10-07T03:11:34Z
dc.date.issued2000
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.identifier.issn02750708
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/81746
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.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.sourcetitleWinter Simulation Conference Proceedings
dc.description.volume2
dc.description.page1339-1343
dc.description.codenWSCPD
dc.identifier.isiutNOT_IN_WOS
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