Gaussian Process Surrogate Models for the CMA-ES

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SYSNO	0506867
Title	Gaussian Process Surrogate Models for the CMA-ES
Author(s)	Bajer, Lukáš (UIVT-O)_{SAI, RID, ORCID} Pitra, Zbyněk (UIVT-O)_{RID, ORCID, SAI} Repický, Jakub (UIVT-O)_{ORCID, SAI} Holeňa, Martin (UIVT-O)_{SAI, RID}
Source Title	GECCO '19. Proceedings of the Genetic and Evolutionary Computation Conference Companion. S. 17-18. - New York : ACM, 2019
Conference	GECCO 2019: The Genetic and Evolutionary Computation Conference, 13.07.2019, Prague - 17.07.2019
Document Type	Abstrakt
Grant	GA17-01251S GA ČR - Czech Science Foundation (CSF)
	GA18-18080S GA ČR - Czech Science Foundation (CSF), CZ - Czech Republic
Institutional support	UIVT-O - RVO:67985807
Language	eng
Country	US
Keywords	black-box optimization * evolutionary optimization * surrogate modelling * Gaussian process
Permanent Link	http://hdl.handle.net/11104/0298001

Number of the records: 1