Using Surrogate Modeling to Improve Evolutionary Optimization in Catalysis

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SYSNO	0329366
Title	Using Surrogate Modeling to Improve Evolutionary Optimization in Catalysis
Author(s)	Hartman, David (UIVT-O)_{RID, SAI, ORCID} Holeňa, Martin (UIVT-O)_{SAI, RID}
Source Title	MIS 2009. S. 3-19. - Praha : Matfyzpress, 2009 / Obdržálek J. ; Plátek M.
Conference	MIS 2009. Malý informatický seminář /26./, Josefův důl, 17.01.2009-24.01.2009
Document Type	Konferenční příspěvek (tuzemská konf.)
Grant	GA201/08/0802 GA ČR - Czech Science Foundation (CSF)
CEZ	AV0Z10300504 - UIVT-O (2005-2011)
Language	eng
Country	CZ
Keywords	chemoinformatics * evolutionry optimization * genetic algorithms * surrogate modelling * artificial neural networks
Permanent Link	http://hdl.handle.net/11104/0175422

Number of the records: 1