Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/11844
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSantos, Dorabellapt
dc.contributor.authorSousa, Amaro Fernandes dept
dc.contributor.authorAlvelos, Filipept
dc.date.accessioned2014-02-17T18:41:21Z-
dc.date.issued2013-12-
dc.identifier.issn0305-0548pt
dc.identifier.urihttp://hdl.handle.net/10773/11844-
dc.description.abstractIn this paper, a hybrid meta-heuristic is proposed which combines the GRASP with path relinking method and Column Generation. The key idea of this method is to run a GRASP with path relinking search on a restricted search space, defined by Column Generation, instead of running the search on the complete search space of the problem. Moreover, column generation is used not only to compute the initial restricted search space but also to modify it during the whole algorithm. The proposed heuristic is used to solve the network load balancing problem: given a capacitated telecommunications network with single path routing and an estimated traffic demand matrix, the network load balancing problem is the determination of a routing path for each traffic commodity such that the network load balancing is optimized, i.e., the worst link load is minimized, among all such solutions, the second worst link load is minimized, and continuing in this way until all link loads are minimized. The computational results presented in this paper show that, for the network load balancing problem, the proposed heuristic is effective in obtaining better quality solutions in shorter running times.pt
dc.language.isoengpt
dc.publisherElsevierpt
dc.relationFCT - PTDC/EIA-EIA/100645/2008 SearchColpt
dc.relationFCT - SFRH/BPD/41581/2007pt
dc.rightsrestrictedAccesspor
dc.subjectGRASP with path relinkingpt
dc.subjectColumn generationpt
dc.subjectHybrid meta-heuristicspt
dc.subjectNetwork load balancingpt
dc.titleA hybrid column generation with GRASP and path relinking for the network load balancing problempt
dc.typearticlept
dc.peerreviewedyespt
ua.distributioninternationalpt
degois.publication.firstPage3147pt
degois.publication.issue12pt
degois.publication.lastPage3158pt
degois.publication.titleComputers & Operations Researchpt
degois.publication.volume40pt
dc.date.embargo10000-01-01-
dc.identifier.doi10.1016/j.cor.2013.05.006pt
Appears in Collections:DETI - Artigos

Files in This Item:
File Description SizeFormat 
CAOR3330.pdfPublish article474.42 kBAdobe PDFrestrictedAccess


FacebookTwitterLinkedIn
Formato BibTex MendeleyEndnote Degois 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.