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dc.contributor.authorGong, Xu
dc.contributor.authorPlets, David
dc.contributor.authorTanghe, Emmeric
dc.contributor.authorDe Pessemier, Toon
dc.contributor.authorMartens, Luc
dc.contributor.authorJoseph, Wout
dc.date.accessioned2021-10-25T19:06:55Z
dc.date.available2021-10-25T19:06:55Z
dc.date.issued2018-04
dc.identifier.issn0957-4174
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/30782
dc.sourceIIOimport
dc.titleAn efficient genetic algorithm for large-scale planning of dense and robust industrial wireless networks
dc.typeJournal article
dc.contributor.imecauthorPlets, David
dc.contributor.imecauthorTanghe, Emmeric
dc.contributor.imecauthorDe Pessemier, Toon
dc.contributor.imecauthorMartens, Luc
dc.contributor.imecauthorJoseph, Wout
dc.contributor.orcidimecPlets, David::0000-0002-8879-5076
dc.contributor.orcidimecTanghe, Emmeric::0000-0003-0020-6466
dc.contributor.orcidimecDe Pessemier, Toon::0000-0002-3920-7346
dc.contributor.orcidimecMartens, Luc::0000-0001-9948-9157
dc.contributor.orcidimecJoseph, Wout::0000-0002-8807-0673
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage311
dc.source.endpage329
dc.source.journalExpert Systems with Applications
dc.source.volume96
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0957417417308254
imec.availabilityPublished - open access


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