Ordinal versus metric gaussian process regression in surrogate modelling for CMA evolution strategy

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SYSNO	0477787
Title	Ordinal versus metric gaussian process regression in surrogate modelling 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. 177-178. - New York : ACM, 2017
Conference	GECCO 2017. Genetic and Evolutionary Computation Conference, 15.07.2017, Berlin - 19.07.2017
Document Type	Abstrakt
Grant	GA17-01251S GA ČR - Czech Science Foundation (CSF)
	LO1611, CZ - Czech Republic
	SGS17/193/OHK4/3T/14, 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/11104/0274011

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Number of the records: 1