Gaussian Process Surrogate Models for the CMA Evolution Strategy

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SYSNO	0498868
Title	Gaussian Process Surrogate Models for the CMA Evolution Strategy
Author(s)	Bajer, L. (CZ) Pitra, Z. (CZ) Repický, J. (CZ) Holeňa, Martin (UIVT-O)_{SAI, RID}
Source Title	Evolutionary Computation. Roč. 27, č. 4 (2019), s. 665-697. - : MIT Press
Document Type	Článek v odborném periodiku
Grant	GA17-01251S GA ČR - Czech Science Foundation (CSF)
	GA18-18080S GA ČR - Czech Science Foundation (CSF), CZ - Czech Republic
	LM2015042, CZ - Czech Republic
Institutional support	UIVT-O - RVO:67985807
Language	eng
Country	US
Keywords	Black-box optimization * CMA-ES * Gaussian processes * evolution strategies * surrogate modeling
URL	http://dx.doi.org/10.1162/evco_a_00244
Permanent Link	http://hdl.handle.net/11104/0291157

File	Download	Size	Commentary	Version	Access
0498868-afin.pdf	13	29.7 MB		Publisher’s postprint	require
0498868-acc.pdf	8	3.8 MB	Proofreading v.	Author’s postprint	require
0498868subm.pdf	13	2.7 MB	Submitted	Author´s preprint	open-access

Number of the records: 1