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Clustered self organising migrating algorithm for the quadratic assignment problem

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dc.title Clustered self organising migrating algorithm for the quadratic assignment problem en
dc.contributor.author Davendra, Donald David
dc.contributor.author Zelinka, Ivan
dc.contributor.author Šenkeřík, Roman
dc.relation.ispartof Power Control and Optimization, Proceedings
dc.identifier.issn 0094-243X Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-0-7354-0696-4
dc.date.issued 2009
utb.relation.volume 1159
dc.citation.spage 282
dc.citation.epage 290
dc.event.title 2nd Global Conference on Power Control and Optimization
dc.event.location Bali
utb.event.state-en Indonesia
utb.event.state-cs Indonésie
dc.event.sdate 2009-06-06
dc.event.edate 2009-06-03
dc.type conferenceObject
dc.language.iso en
dc.publisher American Institute of Physics (AIP) en
dc.identifier.doi 10.1063/1.3223943
dc.relation.uri http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=APCPCS001159000001000282000001&idtype=cvips&gifs=yes&ref=no
dc.subject SOMA en
dc.subject QAP en
dc.subject optimization en
dc.subject evolutionary heuristics en
dc.description.abstract 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. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1001793
utb.identifier.rivid RIV/70883521:28140/09:43865758!RIV12-MSM-28140___
utb.identifier.obdid 43865774
utb.identifier.scopus 2-s2.0-79952908356
utb.identifier.wok 000280767600044
utb.source d-wok
dc.date.accessioned 2011-08-09T07:33:58Z
dc.date.available 2011-08-09T07:33:58Z
dc.rights.access openAccess
utb.contributor.internalauthor Davendra, Donald David
utb.contributor.internalauthor Zelinka, Ivan
utb.contributor.internalauthor Šenkeřík, Roman
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