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Statements

Subject Item
n2:RIV%2F61989100%3A27240%2F12%3A86084916%21RIV13-MSM-27240___
rdf:type
n7:Vysledek skos:Concept
dcterms:description
Scheduling is one of the core steps to efficiently exploit the capabilities of heterogeneous distributed computing systems and it is also an appealing NP-complete problem. There is a number of heuristic and metaheuristic algorithms that were tailored to deal with scheduling of independent jobs. In this study we investigate the efficiency of three bio-inspired metaheuristics for finding good schedules of independent tasks. Scheduling is one of the core steps to efficiently exploit the capabilities of heterogeneous distributed computing systems and it is also an appealing NP-complete problem. There is a number of heuristic and metaheuristic algorithms that were tailored to deal with scheduling of independent jobs. In this study we investigate the efficiency of three bio-inspired metaheuristics for finding good schedules of independent tasks.
dcterms:title
Independent task scheduling by artificial immune systems, differential evolution, and genetic algorithms Independent task scheduling by artificial immune systems, differential evolution, and genetic algorithms
skos:prefLabel
Independent task scheduling by artificial immune systems, differential evolution, and genetic algorithms Independent task scheduling by artificial immune systems, differential evolution, and genetic algorithms
skos:notation
RIV/61989100:27240/12:86084916!RIV13-MSM-27240___
n7:predkladatel
n15:orjk%3A27240
n3:aktivita
n8:S n8:P
n3:aktivity
P(FR-TI1/420), S
n3:dodaniDat
n9:2013
n3:domaciTvurceVysledku
n5:6026877 n5:9175970 n5:4347269
n3:druhVysledku
n20:D
n3:duvernostUdaju
n12:S
n3:entitaPredkladatele
n21:predkladatel
n3:idSjednocenehoVysledku
141144
n3:idVysledku
RIV/61989100:27240/12:86084916
n3:jazykVysledku
n22:eng
n3:klicovaSlova
machine learning; independent task scheduling; genetic algorithms; differential evolution; artificial immune systems
n3:klicoveSlovo
n4:machine%20learning n4:independent%20task%20scheduling n4:genetic%20algorithms n4:differential%20evolution n4:artificial%20immune%20systems
n3:kontrolniKodProRIV
[E8E7D6DEF63E]
n3:mistoKonaniAkce
Bukurešť
n3:mistoVydani
Piscataway
n3:nazevZdroje
Proceedings of the 2012 4th International Conference on Intelligent Networking and Collaborative Systems, INCoS 2012
n3:obor
n16:IN
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n6:FR-TI1%2F420
n3:rokUplatneniVysledku
n9:2012
n3:tvurceVysledku
Krömer, Pavel Platoš, Jan Snášel, Václav
n3:typAkce
n23:WRD
n3:zahajeniAkce
2012-09-19+02:00
s:numberOfPages
5
n19:doi
10.1109/iNCoS.2012.76
n18:hasPublisher
IEEE
n17:isbn
978-0-7695-4808-1
n11:organizacniJednotka
27240