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Surrogate Model for Continuous and Discrete Genetic Optimization Based on RBF Networks

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    SYSNO0347773
    TitleSurrogate Model for Continuous and Discrete Genetic Optimization Based on RBF Networks
    Author(s) Bajer, L. (CZ)
    Holeňa, Martin (UIVT-O) SAI, RID
    Source Title Intelligent Data Engineering and Automated Learning - IDEAL 2010. S. 251-258. - Berlin : Springer-Verlag, 2010 / Fyfe C. ; Tino P. ; Garcia-Osorio C. ; Yin H.
    Conference IDEAL 2010. International Conference on Intelligent Data Engineering and Automated Learning /11./, Paisley, 01.09.2010-03.09.2010
    Document TypeKonferenční příspěvek (zahraniční konf.)
    Grant GD201/09/H057 GA ČR - Czech Science Foundation (CSF)
    CEZAV0Z10300504 - UIVT-O (2005-2011)
    Languageeng
    CountryDE
    Keywords surrogate modelling * RBF networks * genetic algorithms * continuous and discrete variables
    Permanent Linkhttp://hdl.handle.net/11104/0188472
    FileDownloadSizeCommentaryVersionAccess
    a0347773.pdf0240.9 KBPublisher’s postprintrequire
     
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