Investigation of Gaussian Processes and Random Forests as Surrogate Models for Evolutionary Black-Box Optimization

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SYSNO	0446913
Title	Investigation of Gaussian Processes and Random Forests as Surrogate Models for Evolutionary Black-Box Optimization
Author info	aut. Lukáš Bajer, Z. Pitra, Martin Holeňa
Author(s)	Bajer, Lukáš (UIVT-O)_{SAI, RID, ORCID} Pitra, Z. (CZ) Holeňa, Martin (UIVT-O)_{SAI, RID}
Source Title	GECCO Companion '15. Genetic and Evolutionary Computation Conference. Companion Material Proceedings. S. 1351-1352. - New York : ACM, 2015 / Silva S.
Conference	GECCO Companion '15. Genetic and Evolutionary Computation Conference, Madrid, 11.07.2015-15.07.2015
Document Type	Konferenční příspěvek (zahraniční konf.)
Grant	GA13-17187S GA ČR - Czech Science Foundation (CSF)
	SGS14/205/OHK4/3T/14, CZ - Czech Republic
	ED2.1.00/03.0078, CZ - Czech Republic
Institutional support	UIVT-O - RVO:67985807
Language	eng
Country	US
Keywords	Black-box optimization * Surrogate model * Gaussian process * Random forest
Permanent Link	http://hdl.handle.net/11104/0248875

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Number of the records: 1