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Statements

Subject Item
n2:RIV%2F70883521%3A28140%2F09%3A43865758%21RIV12-MSM-28140___
rdf:type
skos:Concept n23:Vysledek
dcterms:description
An approach of population dynamics and clustering for permutative problems is presented in this paper. Diversity indicators are created from solution ordering and its mapping is shown as an advantage for population control in metaheuristics. Self Organising Migrating Algorithm (SOMA) is modified using this approach and vetted with the Quadratic Assignment Problem (QAP). Extensive experimentation is conducted on benchmark problems in this area. An approach of population dynamics and clustering for permutative problems is presented in this paper. Diversity indicators are created from solution ordering and its mapping is shown as an advantage for population control in metaheuristics. Self Organising Migrating Algorithm (SOMA) is modified using this approach and vetted with the Quadratic Assignment Problem (QAP). Extensive experimentation is conducted on benchmark problems in this area.
dcterms:title
Clustered self organising migrating algorithm for the quadratic assignment problem Clustered self organising migrating algorithm for the quadratic assignment problem
skos:prefLabel
Clustered self organising migrating algorithm for the quadratic assignment problem Clustered self organising migrating algorithm for the quadratic assignment problem
skos:notation
RIV/70883521:28140/09:43865758!RIV12-MSM-28140___
n3:aktivita
n15:Z n15:P
n3:aktivity
P(GA102/09/1680), Z(MSM7088352101)
n3:dodaniDat
n14:2012
n3:domaciTvurceVysledku
n4:9388486 Davendra, Donald n4:3433390
n3:druhVysledku
n22:D
n3:duvernostUdaju
n10:S
n3:entitaPredkladatele
n18:predkladatel
n3:idSjednocenehoVysledku
307347
n3:idVysledku
RIV/70883521:28140/09:43865758
n3:jazykVysledku
n17:eng
n3:klicovaSlova
SOMA, QAP, optimization, evolutionary heuristics
n3:klicoveSlovo
n8:SOMA n8:optimization n8:QAP n8:evolutionary%20heuristics
n3:kontrolniKodProRIV
[B9B35B3E5114]
n3:mistoKonaniAkce
Bali, Indonesia
n3:mistoVydani
Melville
n3:nazevZdroje
The Second Global Conference on Power Control and Optimization
n3:obor
n7:IN
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n9:GA102%2F09%2F1680
n3:rokUplatneniVysledku
n14:2009
n3:tvurceVysledku
Šenkeřík, Roman Zelinka, Ivan Davendra, Donald
n3:typAkce
n19:WRD
n3:wos
000280767600044
n3:zahajeniAkce
2009-06-03+02:00
n3:zamer
n5:MSM7088352101
s:issn
0094-243X
s:numberOfPages
9
n21:doi
10.1063/1.3223943
n11:hasPublisher
American Institute of Physics
n20:isbn
978-0-7354-0696-4
n6:organizacniJednotka
28140