Počet záznamů: 1
Surrogate Model for Mixed-Variables Evolutionary Optimization Based on GLM and RBF Networks
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$a 10.1007/978-3-642-35843-2_41 $2 DOI 100 $a 20130211d m y slo 03 ba 101 0-
$a eng 102 $a DE 200 1-
$a Surrogate Model for Mixed-Variables Evolutionary Optimization Based on GLM and RBF Networks 215 $a 10 s. $c P 463 -1
$1 001 cav_un_epca*0389191 $1 010 $a 978-3-642-35842-5 $1 011 $a 0302-9743 $1 200 1 $a SOFSEM 2013. Theory and Practice of Computer Science $v S. 481-490 $1 210 $a Berlin $c Springer $d 2013 $1 225 $a Lecture Notes in Computer Science $v 7741 $1 702 $a van Emde Boas $b P. $4 340 $1 702 $a Groen $b F.C.A. $4 340 $1 702 $a Italiano $b G.F. $4 340 $1 702 $a Nawrocki $b J. $4 340 $1 702 $a Sack $b H. $4 340 610 0-
$a surrogate modelling 610 0-
$a RBF networks 610 0-
$a genetic algorithms 610 0-
$a mixed-variables optimization 610 0-
$a continuous and discrete variables 700 -1
$3 cav_un_auth*0262974 $a Bajer $b Lukáš $i Oddělení teoretické informatiky $j Department of Theoretical Computer Science $p UIVT-O $w Department of Machine Learning $4 070 $T Ústav informatiky AV ČR, v. v. i. 701 -1
$3 cav_un_auth*0100761 $a Holeňa $b Martin $i Oddělení teoretické informatiky $j Department of Theoretical Computer Science $p UIVT-O $w Department of Machine Learning $4 070 $T Ústav informatiky AV ČR, v. v. i.
Počet záznamů: 1