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Statements

Subject Item
n2:RIV%2F68407700%3A21110%2F09%3A00157924%21RIV10-MPO-21110___
rdf:type
skos:Concept n20:Vysledek
dcterms:description
The goal of this paper is to investigate under which settings it is effective to use an asynchronous version of the master-slave model of a population-based optimization algorithm. Both versions, synchronous and asynchronous, are implemented and compared using data from the multi-objective identification of parameters for a material constitutive law for concrete. Results have shown that the synchronous version is preferable for the low number of processors whereas for the high number of available CPUs the asynchronous version is clear winner. The goal of this paper is to investigate under which settings it is effective to use an asynchronous version of the master-slave model of a population-based optimization algorithm. Both versions, synchronous and asynchronous, are implemented and compared using data from the multi-objective identification of parameters for a material constitutive law for concrete. Results have shown that the synchronous version is preferable for the low number of processors whereas for the high number of available CPUs the asynchronous version is clear winner.
dcterms:title
Load-balancing of Master-Slave Evolutionary Algorithm for Parameters Identification Load-balancing of Master-Slave Evolutionary Algorithm for Parameters Identification
skos:prefLabel
Load-balancing of Master-Slave Evolutionary Algorithm for Parameters Identification Load-balancing of Master-Slave Evolutionary Algorithm for Parameters Identification
skos:notation
RIV/68407700:21110/09:00157924!RIV10-MPO-21110___
n3:aktivita
n15:P
n3:aktivity
P(FT-TA4/100)
n3:dodaniDat
n5:2010
n3:domaciTvurceVysledku
n19:9081429
n3:druhVysledku
n12:D
n3:duvernostUdaju
n17:S
n3:entitaPredkladatele
n16:predkladatel
n3:idSjednocenehoVysledku
323965
n3:idVysledku
RIV/68407700:21110/09:00157924
n3:jazykVysledku
n13:eng
n3:klicovaSlova
optimization; parallel evolutionary algorithms; load-balancing; parameters identification; inverse analysis; parallel computing
n3:klicoveSlovo
n6:optimization n6:inverse%20analysis n6:parallel%20computing n6:load-balancing n6:parallel%20evolutionary%20algorithms n6:parameters%20identification
n3:kontrolniKodProRIV
[D93F46DE0865]
n3:mistoKonaniAkce
Pecs
n3:mistoVydani
Stirling
n3:nazevZdroje
Proceedings of the First International Conference on Parallel, Distributed and Grid Computing for Engineering
n3:obor
n21:JD
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:projekt
n18:FT-TA4%2F100
n3:rokUplatneniVysledku
n5:2009
n3:tvurceVysledku
Lepš, Matěj
n3:typAkce
n11:WRD
n3:wos
000271452700010
n3:zahajeniAkce
2009-04-06+02:00
s:issn
1759-3433
s:numberOfPages
10
n8:hasPublisher
Civil-Comp Press Ltd
n14:isbn
978-1-905088-29-4
n7:organizacniJednotka
21110