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Please use this identifier to cite or link to this item: https://doi.org/10.1109/IEEM.2009.5373149
DC FieldValue
dc.titleSystem dynamics simulation and optimization with fuzzy logic
dc.contributor.authorNg, T.S.
dc.contributor.authorKhirudeen, M.I.B.
dc.contributor.authorHalim, T.
dc.contributor.authorChia, S.Y.
dc.date.accessioned2014-06-19T04:54:41Z
dc.date.available2014-06-19T04:54:41Z
dc.date.issued2009
dc.identifier.citationNg, T.S., Khirudeen, M.I.B., Halim, T., Chia, S.Y. (2009). System dynamics simulation and optimization with fuzzy logic. IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management : 2114-2118. ScholarBank@NUS Repository. https://doi.org/10.1109/IEEM.2009.5373149
dc.identifier.isbn9781424448708
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/72415
dc.description.abstractThis paper presents a novel and practical approach for integrating simulation and optimization of system dynamics (SD) models using Matlab and Simulink. The Matlab platform allows much freedom in customizing and implementing global search techniques such as genetic algorithms (GA) and artificial intelligence constructs like fuzzy logic. The Simulink platform allows complex nonlinear dynamic models to be specified rapidly. In this work we demonstrate how to combine the GA parameter search, fuzzy logic expert input and SD modeling to arrive at better strategies for decision making. This approach to optimization is illustrated using the classical market growth-model and produces very competitive good results. ©2009 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/IEEM.2009.5373149
dc.sourceScopus
dc.subjectFuzzy logic
dc.subjectGenetic algorithm
dc.subjectSimulation
dc.subjectSystem dynamics
dc.subjectTable function
dc.typeConference Paper
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.doi10.1109/IEEM.2009.5373149
dc.description.sourcetitleIEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management
dc.description.page2114-2118
dc.identifier.isiut000280236601177
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