Traditional Gaussian Process Surrogates in the BBOB Framework

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SYSNO	0462909
Title	Traditional Gaussian Process Surrogates in the BBOB Framework
Author(s)	Repický, J. (CZ) Bajer, L. (CZ) Holeňa, Martin (UIVT-O)_{SAI, RID}
Source Title	Proceedings ITAT 2016: Information Technologies - Applications and Theory. S. 163-171. - Aachen & Charleston : Technical University & CreateSpace Independent Publishing Platform, 2016 / Brejová B.
Conference	ITAT 2016. Conference on Theory and Practice of Information Technologies /16./, 15.09.2016-19.09.2016, Tatranské Matliare
Document Type	Konferenční příspěvek (zahraniční konf.)
Grant	LM2015042, CZ - Czech Republic
	260 224, CZ - Czech Republic
	NV15-33250A GA MZd - Ministry of Health (MZ), CZ - Czech Republic
Institutional support	UIVT-O - RVO:67985807
Language	eng
Country	DE
Keywords	continuous optimization * objective function evaluation * black-box optimization * Gaussian process * surrogate modelling
URL	http://ceur-ws.org/Vol-1649/163.pdf
Permanent Link	http://hdl.handle.net/11104/0262256

	File	Download	Size	Commentary	Version	Access
	a0462909.pdf	3	1.5 MB		Publisher’s postprint	require

Number of the records: 1