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Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F12%3A10126810%21RIV13-MSM-11320___
rdf:type
skos:Concept n17:Vysledek
rdfs:seeAlso
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6256450
dcterms:description
The paper presents a surrogate-based evolutionary strategy for multiobjective optimization. The evolutionary strategy uses distance based aggregate surrogate models in two ways as a part of memetic search and as way to pre-select individuals in order to avoid evaluation of bad individuals. The model predict the distance of individuals to the currently known Pareto set. The newly proposed algorithm is compared to other algorithms which use similar surrogate models on a set of benchmark functions. The paper presents a surrogate-based evolutionary strategy for multiobjective optimization. The evolutionary strategy uses distance based aggregate surrogate models in two ways as a part of memetic search and as way to pre-select individuals in order to avoid evaluation of bad individuals. The model predict the distance of individuals to the currently known Pareto set. The newly proposed algorithm is compared to other algorithms which use similar surrogate models on a set of benchmark functions.
dcterms:title
An Evolutionary Strategy for Surrogate-Based Multiobjective Optimization An Evolutionary Strategy for Surrogate-Based Multiobjective Optimization
skos:prefLabel
An Evolutionary Strategy for Surrogate-Based Multiobjective Optimization An Evolutionary Strategy for Surrogate-Based Multiobjective Optimization
skos:notation
RIV/00216208:11320/12:10126810!RIV13-MSM-11320___
n17:predkladatel
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n3:aktivita
n7:S
n3:aktivity
S
n3:dodaniDat
n6:2013
n3:domaciTvurceVysledku
n23:2542250
n3:druhVysledku
n22:D
n3:duvernostUdaju
n12:S
n3:entitaPredkladatele
n9:predkladatel
n3:idSjednocenehoVysledku
121959
n3:idVysledku
RIV/00216208:11320/12:10126810
n3:jazykVysledku
n20:eng
n3:klicovaSlova
multiobjective optimization; surrogate models; Evolutionary algoritmhs
n3:klicoveSlovo
n4:surrogate%20models n4:multiobjective%20optimization n4:Evolutionary%20algoritmhs
n3:kontrolniKodProRIV
[7BD344143932]
n3:mistoKonaniAkce
Brisbane, Austrálie
n3:mistoVydani
Brisbane, Austrálie
n3:nazevZdroje
2012 IEEE Congress on Evolutionary Computation (CEC)
n3:obor
n13:IN
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n6:2012
n3:tvurceVysledku
Neruda, Roman Pilát, Martin
n3:typAkce
n8:WRD
n3:wos
000312859302012
n3:zahajeniAkce
2012-06-10+02:00
s:numberOfPages
7
n11:doi
10.1109/CEC.2012.6256450
n19:hasPublisher
IEEE Computer Society Press
n16:isbn
978-1-4673-1510-4
n15:organizacniJednotka
11320