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Doubly Trained Evolution Control for the Surrogate CMA-ES
- 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
Cited: 1
--- HUANG, C.W. - RADI, B. - EL HAMI, A. - BAI, H. CMA evolution strategy assisted by kriging model and approximate ranking. APPLIED INTELLIGENCE. ISSN 0924-669X, NOV 2018, vol. 48, no. 11, p. 4288-4304. [WOS]
Permanent Link: http://hdl.handle.net/11104/0265826File Download Size Commentary Version Access a0466878.pdf 2 449.1 KB Publisher’s postprint require
Number of the records: 1