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Statements

Subject Item
n2:RIV%2F67985807%3A_____%2F12%3A00384786%21RIV13-GA0-67985807
rdf:type
n9:Vysledek skos:Concept
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 predicts 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 predicts 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/67985807:_____/12:00384786!RIV13-GA0-67985807
n9:predkladatel
n20:ico%3A67985807
n3:aktivita
n7:P n7:I
n3:aktivity
I, P(GAP202/11/1368)
n3:dodaniDat
n18:2013
n3:domaciTvurceVysledku
n13:8926050
n3:druhVysledku
n4:D
n3:duvernostUdaju
n15:S
n3:entitaPredkladatele
n19:predkladatel
n3:idSjednocenehoVysledku
121958
n3:idVysledku
RIV/67985807:_____/12:00384786
n3:jazykVysledku
n22:eng
n3:klicovaSlova
multi-objective optimization; evolutionary algorithms; evolution strategies
n3:klicoveSlovo
n5:multi-objective%20optimization n5:evolutionary%20algorithms n5:evolution%20strategies
n3:kontrolniKodProRIV
[13D2CDFA334F]
n3:mistoKonaniAkce
Brisbane
n3:mistoVydani
Piscataway
n3:nazevZdroje
CEC 2012. Proceedings of IEEE Congress on Evolutionary Computation
n3:obor
n12:IN
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:projekt
n17:GAP202%2F11%2F1368
n3:rokUplatneniVysledku
n18:2012
n3:tvurceVysledku
Neruda, Roman Pilát, M.
n3:typAkce
n16:WRD
n3:wos
000312859302012
n3:zahajeniAkce
2012-06-10+02:00
s:numberOfPages
7
n8:doi
10.1109/CEC.2012.6256450
n21:hasPublisher
IEEE
n10:isbn
978-1-4673-1509-8