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Surrogate Model for Continuous and Discrete Genetic Optimization Based on RBF Networks
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SYSNO 0347773 Title Surrogate Model for Continuous and Discrete Genetic Optimization Based on RBF Networks Author(s) Bajer, L. (CZ)
Holeňa, Martin (UIVT-O) SAI, RIDSource Title Intelligent Data Engineering and Automated Learning - IDEAL 2010. S. 251-258. - Berlin : Springer-Verlag, 2010 / Fyfe C. ; Tino P. ; Garcia-Osorio C. ; Yin H. Conference IDEAL 2010. International Conference on Intelligent Data Engineering and Automated Learning /11./, Paisley, 01.09.2010-03.09.2010 Document Type Konferenční příspěvek (zahraniční konf.) Grant GD201/09/H057 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z10300504 - UIVT-O (2005-2011) Language eng Country DE Keywords surrogate modelling * RBF networks * genetic algorithms * continuous and discrete variables Permanent Link http://hdl.handle.net/11104/0188472 File Download Size Commentary Version Access a0347773.pdf 0 240.9 KB Publisher’s postprint require
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