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- 1.0466878 - ÚI 2017 RIV CH eng C - Conference Paper (international conference)
Pitra, Zbyněk - Bajer, L. - Holeňa, Martin
Doubly Trained Evolution Control for the Surrogate CMA-ES.
Parallel Problem Solving from Nature - PPSN XIV. Cham: Springer, 2016 - (Handl, J.; Hart, E.; Lewis, P.; López-Ibáñez, M.; Ochoa, G.; Paechter, B.), s. 59-68. Lecture Notes in Computer Science, 9921. ISBN 978-3-319-45822-9. ISSN 0302-9743.
[PPSN XIV. International Conference on Parallel Problem Solving from Nature /14./. Edinburgh (GB), 17.09.2016-21.09.2016]
R&D Projects: GA MZd(CZ) NV15-33250A
Grant - others:ČVUT(CZ) SGS14/205/OHK4/3T/14; GA MŠk(CZ) ED2.1.00/03.0078; GA MŠk(CZ) LO1611; GA MŠk(CZ) LM2010005
Institutional support: RVO:67985807
Keywords : black-box optimization * surrogate model * evolution control * Gaussian process
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0265826File Download Size Commentary Version Access a0466878.pdf 2 449.1 KB Publisher’s postprint require - 2.0462909 - ÚI 2017 RIV DE eng C - Conference Paper (international conference)
Repický, J. - Bajer, L. - Holeňa, Martin
Traditional Gaussian Process Surrogates in the BBOB Framework.
Proceedings ITAT 2016: Information Technologies - Applications and Theory. Aachen & Charleston: Technical University & CreateSpace Independent Publishing Platform, 2016 - (Brejová, B.), s. 163-171. CEUR Workshop Proceedings, V-1649. ISBN 978-1-5370-1674-0. ISSN 1613-0073.
[ITAT 2016. Conference on Theory and Practice of Information Technologies /16./. Tatranské Matliare (SK), 15.09.2016-19.09.2016]
R&D Projects: GA MZd(CZ) NV15-33250A
Grant - others:GA MŠk(CZ) LM2015042; SVV(CZ) 260 224
Institutional support: RVO:67985807
Keywords : continuous optimization * objective function evaluation * black-box optimization * Gaussian process * surrogate modelling
Subject RIV: IN - Informatics, Computer Science
http://ceur-ws.org/Vol-1649/163.pdf
Permanent Link: http://hdl.handle.net/11104/0262256File Download Size Commentary Version Access a0462909.pdf 3 1.5 MB Publisher’s postprint require