Surrogate Model for Continuous and Discrete Genetic Optimization Based on RBF Networks

0347773 - ÚI 2011 RIV DE eng C - Conference Paper (international conference)
Bajer, L. - Holeňa, Martin
Surrogate Model for Continuous and Discrete Genetic Optimization Based on RBF Networks.
Intelligent Data Engineering and Automated Learning - IDEAL 2010. Berlin: Springer-Verlag, 2010 - (Fyfe, C.; Tino, P.; Garcia-Osorio, C.; Yin, H.), s. 251-258. Lecture Notes in Computer Science, 6283. ISBN 978-3-642-15380-8. ISSN 0302-9743.
[IDEAL 2010. International Conference on Intelligent Data Engineering and Automated Learning /11./. Paisley (GB), 01.09.2010-03.09.2010]
R&D Projects: GA ČR GD201/09/H057
Institutional research plan: CEZ:AV0Z10300504
Keywords : surrogate modelling * RBF networks * genetic algorithms * continuous and discrete variables
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0188472