The Principle of Maximum Entropy-Based Two-Phase Optimization of Fuzzy Controller by Evolutionary Programming

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dc.contributor.authorKim, Jong-Hwanko
dc.date.accessioned2013-03-18T05:41:20Z-
dc.date.available2013-03-18T05:41:20Z-
dc.date.created2012-02-06-
dc.date.issued2003-07-
dc.identifier.citationGenetic and Evolutionary Computation Conference, pp.638 - 639-
dc.identifier.urihttp://hdl.handle.net/10203/145228-
dc.languageEnglish-
dc.publisherGECCO-
dc.titleThe Principle of Maximum Entropy-Based Two-Phase Optimization of Fuzzy Controller by Evolutionary Programming-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.beginningpage638-
dc.citation.endingpage639-
dc.citation.publicationnameGenetic and Evolutionary Computation Conference-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationChicago, IL-
dc.contributor.localauthorKim, Jong-Hwan-
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EE-Conference Papers(학술회의논문)
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