Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/15211
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dc.contributor.authorLopes, Rui Borgespt
dc.contributor.authorFerreira, Carlospt
dc.contributor.authorSantos, Beatriz Sousapt
dc.date.accessioned2016-02-24T15:19:27Z-
dc.date.issued2016-06-
dc.identifier.issn0305-0548pt
dc.identifier.urihttp://hdl.handle.net/10773/15211-
dc.description.abstractThis paper proposes a hybrid genetic algorithm (GA) to solve the capacitated location-routing problem. The proposed algorithm follows the standard GA framework using local search procedures in the mutation phase. Computational evaluation was carried out on three sets of benchmark instances from the literature. Results show that, although relatively simple, the proposed algorithm is effective, providing competitive results for benchmark instances within reasonable computing time.pt
dc.language.isoengpt
dc.publisherElsevierpt
dc.relationUID/MAT/04106/2013pt
dc.rightsrestrictedAccesspor
dc.subjectLocationpt
dc.subjectLocation-routingpt
dc.subjectGenetic algorithmpt
dc.titleA simple and effective evolutionary algorithm for the capacitated location-routing problempt
dc.typearticlept
dc.peerreviewedyespt
ua.distributioninternationalpt
degois.publication.firstPage155pt
degois.publication.lastPage162pt
degois.publication.titleComputers & Operations Researchpt
degois.publication.volume70pt
dc.date.embargo10000-01-01-
dc.identifier.doi10.1016/j.cor.2016.01.006pt
Appears in Collections:CIDMA - Artigos
DEGEIT - Artigos
OGTCG - Artigos

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