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Surrogate Modeling in the Evolutionary Optimization of Catalytic Materials

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    SYSNO0380963
    TitleSurrogate Modeling in the Evolutionary Optimization of Catalytic Materials
    Author(s) Holeňa, Martin (UIVT-O) SAI, RID
    Linke, D. (DE)
    Bajer, Lukáš (UIVT-O) SAI, RID, ORCID
    Source Title GECCO '12. Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference. S. 1095-1102. - New York : ACM, 2012 / Soule T.
    Conference GECCO 2012. Genetic and Evolutionary Computation Conference. Conference on Genetic Algorithms /21./ and Annual Genetic Programming Conference /17./, Philadelphia, 07.07.2012-11.07.2012
    Document TypeKonferenční příspěvek (zahraniční konf.)
    Grant GA201/08/0802 GA ČR - Czech Science Foundation (CSF)
    GAP202/11/1368 GA ČR - Czech Science Foundation (CSF)
    278511/2011, CZ - Czech Republic
    Institutional supportUIVT-O - RVO:67985807
    Languageeng
    CountryUS
    Keywords evolutionary optimization * mixed optimization * surrogate modeling * model suitability * applications in chemistry
    Permanent Linkhttp://hdl.handle.net/11104/0211545
    FileDownloadSizeCommentaryVersionAccess
    a0380963.pdf0505 KBPublisher’s postprintrequire
     
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