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Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F14%3A10284225%21RIV15-MSM-11320___
rdf:type
n16:Vysledek skos:Concept
rdfs:seeAlso
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6900545
dcterms:description
Several contemporary multi-objective surrogate based algorithms use some kind of local search operator. The search technique used in this operator can largely affect the performance of the multi-objective optimizer as a whole, however, little attention is often paid to the selection of this technique. In this paper, we compare three different local search techniques and evaluate their effect on the performance of two different surrogate based multi-objective optimizers. The algorithms are evaluated using the well known ZDT and WFG benchmark suites and recommendations are made based on the results. Several contemporary multi-objective surrogate based algorithms use some kind of local search operator. The search technique used in this operator can largely affect the performance of the multi-objective optimizer as a whole, however, little attention is often paid to the selection of this technique. In this paper, we compare three different local search techniques and evaluate their effect on the performance of two different surrogate based multi-objective optimizers. The algorithms are evaluated using the well known ZDT and WFG benchmark suites and recommendations are made based on the results.
dcterms:title
The effect of different local search algorithms on the performance of multi-objective optimizers The effect of different local search algorithms on the performance of multi-objective optimizers
skos:prefLabel
The effect of different local search algorithms on the performance of multi-objective optimizers The effect of different local search algorithms on the performance of multi-objective optimizers
skos:notation
RIV/00216208:11320/14:10284225!RIV15-MSM-11320___
n3:aktivita
n14:P n14:I
n3:aktivity
I, P(LD13002)
n3:dodaniDat
n7:2015
n3:domaciTvurceVysledku
n22:2542250
n3:druhVysledku
n10:D
n3:duvernostUdaju
n17:S
n3:entitaPredkladatele
n4:predkladatel
n3:idSjednocenehoVysledku
13231
n3:idVysledku
RIV/00216208:11320/14:10284225
n3:jazykVysledku
n8:eng
n3:klicovaSlova
evolutionary algorithms; surrogate modeling; multi-objective optimization
n3:klicoveSlovo
n6:evolutionary%20algorithms n6:surrogate%20modeling n6:multi-objective%20optimization
n3:kontrolniKodProRIV
[F34B8416452B]
n3:mistoKonaniAkce
Peking, Čína
n3:mistoVydani
Beijing
n3:nazevZdroje
Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2014
n3:obor
n9:IN
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:projekt
n13:LD13002
n3:rokUplatneniVysledku
n7:2014
n3:tvurceVysledku
Neruda, Roman Pilát, Martin
n3:typAkce
n15:WRD
n3:zahajeniAkce
2014-07-06+02:00
s:numberOfPages
8
n23:doi
10.1109/CEC.2014.6900545
n20:hasPublisher
IEEE
n18:isbn
978-1-4799-6626-4
n12:organizacniJednotka
11320