LEADER 01553nam  2200373z- 450 
001 9910346941803321
005 20210211
010   $a1000006634
035   $a(CKB)4920000000101104
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/47148
035   $a(oapen)doab47148
035   $a(EXLCZ)994920000000101104
100   $a20202102d2007      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aEvolutionary computation in stochastic environments
210   $cKIT Scientific Publishing$d2007
215   $a1 online resource (VII, 128 p. p.)
311 08$a3-86644-128-2 
330   $aThis book develops efficient methods for the application of Evolutionary Algorithms on stochastic problems. To achieve this, procedures for statistical selection are systematically analyzed with respect to different measures and significantly improved. It is shown how to adapt one of the best procedures for the needs of Evolutionary Algorithms and Evolutionary operators for efficient implementation in stochastic environments are identified.
610   $aBayes
610   $aEvolutionary Algorithm
610   $aGenetic Algorithms
610   $aRanking & Selection
610   $aSimulation based optimization
610   $aUncertainty
700   $aSchmidt$b Christian$4auth$0361359
906   $aBOOK
912   $a9910346941803321
996   $aEvolutionary computation in stochastic environments$93028844
997   $aUNINA