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Capturing waste collection planning expert knowledge in a fitness function through preference learning

dc.contributor.authorFernández Díaz, Laura
dc.contributor.authorFernández Díaz, Miriam
dc.contributor.authorQuevedo Pérez, José Ramón 
dc.contributor.authorMontañés Roces, Elena 
dc.date.accessioned2021-07-26T07:50:24Z
dc.date.available2021-07-26T07:50:24Z
dc.date.issued2021
dc.identifier.citationEngineering Applications of Artificial Intelligence, 99, (2021); doi:10.1016/j.engappai.2020.104113
dc.identifier.issn0952-1976
dc.identifier.urihttp://hdl.handle.net/10651/59991
dc.description.sponsorshipThis research has been partially supported by the Spanish Ministerio de Ciencia e Innovación through the grant PID2019-110742RB-I00 and by the RDI project Smart Waste Collection (SWC), developed by the consortium COGERSA, SADIM S.A. S.M.E - grupo HUNOSA a
dc.language.isoeng
dc.relation.ispartofEngineering Applications of Artificial Intelligence
dc.rights© 2020 Elsevier Ltd.
dc.rightsCC Reconocimiento – No Comercial – Sin Obra Derivada 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85098881726&doi=10.1016%2fj.engappai.2020.104113&partnerID=40&md5=360a30c1283e5f6510b5b5485fcab2b3
dc.titleCapturing waste collection planning expert knowledge in a fitness function through preference learning
dc.typejournal article
dc.identifier.doi10.1016/j.engappai.2020.104113
dc.relation.projectIDMICINN/PID2019-110742RB-I00
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.engappai.2020.104113
dc.rights.accessRightsopen access
dc.type.hasVersionAM


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