Basket

    1.
    0477787 - ÚI 2018 US eng A - Abstract
    Pitra, Z. - Bajer, L. - Repický, J. - Holeňa, Martin
    Ordinal versus metric gaussian process regression in surrogate modelling for CMA evolution strategy.
    GECCO 2017. Proceedings of the Genetic and Evolutionary Computation Conference Companion. New York: ACM, 2017. s. 177-178. ISBN 978-1-4503-4939-0.
    [GECCO 2017. Genetic and Evolutionary Computation Conference. 15.07.2017-19.07.2017, Berlin]
    R&D Projects: GA ČR GA17-01251S
    Grant - others:GA MŠk(CZ) LO1611; ČVUT(CZ) SGS17/193/OHK4/3T/14
    Institutional support: RVO:67985807
    Keywords : black-box optimization * evolutionary optimization * surrogate modelling * Gaussian-process regression
    Subject RIV: IN - Informatics, Computer Science
    Permanent Link: http://hdl.handle.net/11104/0274011
    FileDownloadSizeCommentaryVersionAccess
    a0477787.pdf2668.9 KBPublisher’s postprintrequire
     
     

  This site uses cookies to make them easier to browse. Learn more about how we use cookies.

Accept allSettingsReject all