Mostrar el registro sencillo del ítem

dc.contributor.authorDomínguez, Miguel A.
dc.contributor.authorChicano-García, José-Francisco 
dc.contributor.authorRuiz-Mora, Ana Belén 
dc.contributor.authorDomínguez-Merino, Enrique 
dc.date.accessioned2018-03-22T12:01:04Z
dc.date.available2018-03-22T12:01:04Z
dc.date.created2018
dc.date.issued2018-03-22
dc.identifier.urihttps://hdl.handle.net/10630/15479
dc.description.abstractIn many logistic, telecommunications and computer networks, direct routing of commodities between any origin and destination is not viable due to economic and technolog- ical constraints. In that cases, a network with centralized units, known as hub facilities, and a small number of links is commonly used to connect any origin-destination pair. The purpose of these hub facilities is to consolidate, sort and transship e ciently any commodity in the network. Hub location problems (HLPs) consider the design of these networks by locating a set of hub facilities, establishing an interhub subnet, and routing the commodities through the network while optimizing some objective(s) based on the cost or service. Hub location has evolved into a rich research area, where a huge number of papers have been published since the seminal work of O'Kelly [1]. Early works were focused on analogue facility location problems, considering some assumptions to simplify network design. Recent works [2] have studied more complex models that relax some of these assumptions and in- corporate additional real-life features. In most HLPs considered in the literature, the input parameters are assumed to be known and deterministic. However, in practice, this assumption is unrealistic since there is a high uncertainty on relevant parameters, such as costs, demands or even distances. In this work, we will study the multi-objective hub location problems with uncertainty.en_US
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Techen_US
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAlgoritmos computacionales - Congresosen_US
dc.subject.otherHub locationen_US
dc.subject.otherHybrid algorithmsen_US
dc.subject.otherCombinatorial optimizationen_US
dc.titleSolving multi-objective hub location problems by hybrid algorithmsen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.centroE.T.S.I. Informáticaen_US
dc.relation.eventtitleJoint EURO/ALIO International Conference 2018 on Applied Combinatorial Optimizationen_US
dc.relation.eventplaceBolonia (Italia)en_US
dc.relation.eventdateJunio 2018en_US


Ficheros en el ítem

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem