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dc.contributor.authorLuque-Polo, Gabriel Jesús 
dc.contributor.authorDomínguez-Merino, Enrique 
dc.contributor.authorChicano, Francisco 
dc.contributor.authorRuiz, Ana B.
dc.date.accessioned2018-11-20T11:33:49Z
dc.date.available2018-11-20T11:33:49Z
dc.date.created2018
dc.date.issued2018-11-20
dc.identifier.urihttps://hdl.handle.net/10630/16902
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 technological constraints. Hub locations problems (HLPs) are considered in that cases, where the design of these networks are optimized based on some objective(s) related on the cost or service. A huge number of papers have been published since the seminal work of O’Kelly. Early works were focused on analogue facility location problems, considering some assumptions to simplify network design. Recent works have studied more complex models that relax some of these assumptions and incorporate 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. As a result, a decision maker usually prefer several solutions with a low uncertainty in their objectives functions. In this work, anytime algorithms are proposed to solve the multi-objective hub location problems with uncertainty. The proposed algorithms can be stopped at any time, yielding a set of efficient solutions (belonging to the Pareto front) that are well spread in the objective space.en_US
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.en_US
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectRecursos de información electrónicosen_US
dc.subject.otherAnytime algorithmsen_US
dc.subject.otherCombinatorial optimizationen_US
dc.subject.otherHub locationen_US
dc.titleAnytime Algorithms for Multi-Objective Hub Location Problemsen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.centroE.T.S.I. Informáticaen_US
dc.relation.eventtitle29th European Conference on Operational Researchen_US
dc.relation.eventplaceValencia, Spainen_US
dc.relation.eventdate8-11 de julio de 2018en_US


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