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Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F13%3A10173113%21RIV14-MSM-11320___
rdf:type
skos:Concept n18:Vysledek
rdfs:seeAlso
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6557786
dcterms:description
In surrogate evolutionary algorithms, usually the type of surrogate model is chosen beforehand, and it is never changed during the run of the evolution. Moreover, the reasoning why a particular type of model was chosen is often missing. In this paper, we present a framework which in each generation selects the most suitable surrogate from a set of models based on some pre-defined criteria. The results based on different types of model selectors are compared, and the dynamics of the evolution together with the change of the selected model type during the run of the evolutionary algorithm are discussed. In surrogate evolutionary algorithms, usually the type of surrogate model is chosen beforehand, and it is never changed during the run of the evolution. Moreover, the reasoning why a particular type of model was chosen is often missing. In this paper, we present a framework which in each generation selects the most suitable surrogate from a set of models based on some pre-defined criteria. The results based on different types of model selectors are compared, and the dynamics of the evolution together with the change of the selected model type during the run of the evolutionary algorithm are discussed.
dcterms:title
Surrogate Model Selection for Evolutionary Multiobjective Optimization Surrogate Model Selection for Evolutionary Multiobjective Optimization
skos:prefLabel
Surrogate Model Selection for Evolutionary Multiobjective Optimization Surrogate Model Selection for Evolutionary Multiobjective Optimization
skos:notation
RIV/00216208:11320/13:10173113!RIV14-MSM-11320___
n18:predkladatel
n21:orjk%3A11320
n3:aktivita
n16:S
n3:aktivity
S
n3:dodaniDat
n4:2014
n3:domaciTvurceVysledku
n14:2542250
n3:druhVysledku
n23:D
n3:duvernostUdaju
n10:S
n3:entitaPredkladatele
n12:predkladatel
n3:idSjednocenehoVysledku
109127
n3:idVysledku
RIV/00216208:11320/13:10173113
n3:jazykVysledku
n19:eng
n3:klicovaSlova
model selection; evolutionary algorithm; meta-model; Multiobjective optimization
n3:klicoveSlovo
n5:meta-model n5:evolutionary%20algorithm n5:model%20selection n5:Multiobjective%20optimization
n3:kontrolniKodProRIV
[409A817538B9]
n3:mistoKonaniAkce
Cancun, Mexico
n3:mistoVydani
NEW YORK
n3:nazevZdroje
2013 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)
n3:obor
n17:IN
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n4:2013
n3:tvurceVysledku
Neruda, Roman Pilát, Martin
n3:typAkce
n20:WRD
n3:wos
000326235301110
n3:zahajeniAkce
2013-06-20+02:00
s:numberOfPages
8
n13:doi
10.1109/CEC.2013.6557786
n7:hasPublisher
IEEE
n11:isbn
978-1-4799-0454-9
n22:organizacniJednotka
11320