Comparison of Ordinal and Metric Gaussian Process Regression as Surrogate Models for CMA Evolution Strategy

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SYSNO	0477789
Title	Comparison of Ordinal and Metric Gaussian Process Regression as Surrogate Models for CMA Evolution Strategy
Author(s)	Pitra, Z. (CZ) Bajer, L. (CZ) Repický, J. (CZ) Holeňa, Martin (UIVT-O)_{SAI, RID}
Source Title	GECCO 2017. Proceedings of the Genetic and Evolutionary Computation Conference Companion. S. 1764-1771. - New York : ACM, 2017
Conference	GECCO 2017. Genetic and Evolutionary Computation Conference, 15.07.2017, Berlin - 19.07.2017
Document Type	Konferenční příspěvek (zahraniční konf.)
Grant	GA17-01251S GA ČR - Czech Science Foundation (CSF)
	LO1611, CZ - Czech Republic
	SGS17/193/OHK4/3T/14, CZ - Czech Republic
	LM2010005, CZ - Czech Republic
Institutional support	UIVT-O - RVO:67985807
Language	eng
Country	US
Keywords	black-box optimization * evolutionary optimization * surrogate modelling * Gaussian-process regression
Permanent Link	http://hdl.handle.net/11104/0274013

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Number of the records: 1