Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/485
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dc.contributor.authorSubudhi, B-
dc.contributor.authorSwain, A K-
dc.date.accessioned2007-09-18T04:03:09Z-
dc.date.available2007-09-18T04:03:09Z-
dc.date.issued1997-
dc.identifier.citationJournal of Indian Institute of Science, Vol 77, Iss 1, P 5-14en
dc.identifier.urihttp://journal.library.iisc.ernet.in/archives/V77-1.html-
dc.identifier.urihttp://hdl.handle.net/2080/485-
dc.descriptionCopyright for this paper belongs to Indian Institute of Science, Bangaloreen
dc.description.abstractSelection of membership functions(MF)for a fuzzy logic controller(FLC)is an iterative and a time consuming task. This paper describes the use of genetic algorithm(GA)searcj strategy for optimizing MFs of antecedent and consequent variables of an FLC that has been used for controlling the level of water on real time basis in a laboratory scale pilot plant. For the simulation of GA integral time sqare error(ITSE),has been used as the fitness function.en
dc.format.extent1523546 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherIndian Institute of Scienceen
dc.subjectMembership Functionen
dc.subjectGenetic Algorithmen
dc.subjectFuzzy Logic Controlleren
dc.subjectIntegral Time Square Erroren
dc.titleOptimization of Membership Functions of Fuzzy Logic Controller for Controlling Liquid Level Using Genetic Algorithmen
dc.typeArticleen
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