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0498868 - ÚI 2020 RIV US eng J - Journal Article
Bajer, L. - Pitra, Z. - Repický, J. - Holeňa, Martin
Gaussian Process Surrogate Models for the CMA Evolution Strategy.
Evolutionary Computation. Roč. 27, č. 4 (2019), s. 665-697. ISSN 1063-6560. E-ISSN 1530-9304
R&D Projects: GA ČR GA17-01251S; GA ČR(CZ) GA18-18080S
Grant - others:GA MŠk(CZ) LM2015042
Institutional support: RVO:67985807
Keywords : Black-box optimization * CMA-ES * Gaussian processes * evolution strategies * surrogate modeling
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 3.933, year: 2019
Method of publishing: Limited access
http://dx.doi.org/10.1162/evco_a_00244
Permanent Link: http://hdl.handle.net/11104/0291157