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New insights on integer-programming models for the kidney exchange problem

dc.contributor.authorConstantino, Miguel
dc.contributor.authorKlimentova, Xenia
dc.contributor.authorViana, Ana
dc.contributor.authorRais, Abdur
dc.date.accessioned2014-01-13T15:50:11Z
dc.date.available2014-01-13T15:50:11Z
dc.date.issued2013
dc.description.abstractIn recent years several countries have set up policies that allow exchange of kidneys between two or more incompatible patient–donor pairs. These policies lead to what is commonly known as kidney exchange programs. The underlying optimization problems can be formulated as integer programming models. Previously proposed models for kidney exchange programs have exponential numbers of constraints or variables, which makes them fairly difficult to solve when the problem size is large. In this work we propose two compact formulations for the problem, explain how these formulations can be adapted to address some problem variants, and provide results on the dominance of some models over others. Finally we present a systematic comparison between our models and two previously proposed ones via thorough computational analysis. Results show that compact formulations have advantages over non-compact ones when the problem size is large.por
dc.identifier.doi10.1016/j.ejor.2013.05.025pt_PT
dc.identifier.issn0377-2217
dc.identifier.urihttp://hdl.handle.net/10400.22/3315
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherElsevierpor
dc.relation.ispartofseriesEuropean Journal of Operational Research; Vol. 231, Issue 1
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S0377221713004244por
dc.subjectKidney exchange programpor
dc.subjectInteger programmingpor
dc.subjectCombinatorial optimizationpor
dc.subjectHealthcarepor
dc.titleNew insights on integer-programming models for the kidney exchange problempor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage68por
oaire.citation.issueIssue 1
oaire.citation.startPage57por
oaire.citation.titleEuropean Journal of Operational Researchpor
oaire.citation.volumevol. 231por
rcaap.rightsopenAccesspor
rcaap.typearticlepor

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