RBF-based surrogate model for evolutionary optimization

0384877 - ÚI 2013 RIV SK eng C - Konferenční příspěvek (zahraniční konf.)
Bajer, Lukáš - Holeňa, Martin
RBF-based surrogate model for evolutionary optimization.
Information Technologies - Applications and Theory. Seňa: PONT s.r.o., 2012 - (Horváth, T.), s. 3-8. ISBN 978-80-971144-0-4.
[ITAT 2012. Conference on Theory and Practice of Information Technologies. Ždiar (SK), 17.09.2012-21.09.2012]
Grant CEP: GA ČR GA201/08/0802
Grant ostatní: GA UK(CZ) 278511/2011
Institucionální podpora: RVO:67985807
Klíčová slova: surrogate models * mixed-variable optimization * rbf networks * evolutionary optimization
Kód oboru RIV: IN - Informatika

Citováno: 2

--- LIU, B. - SUN, N. - ZHANG, Q.F. - GIELEN, G. - GROUT, V. A Surrogate Model Assisted Evolutionary Algorithm for Computationally Expensive Design Optimization Problems with Discrete Variables. 2016 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC). 2016, p. 1650-1657. [WOS]
--- LAL, A. - DATTA, B. Modelling saltwater intrusion processes and development of a multi-objective strategy for management of coastal aquifers utilizing planned artificial freshwater recharge. MODELING EARTH SYSTEMS AND ENVIRONMENT. ISSN 2363-6203, APR 2018, vol. 4, no. 1, p. 111-126. [WOS]

Trvalý link: http://hdl.handle.net/11104/0007325