Show simple item record

hal.structure.identifierReformulations based algorithms for Combinatorial Optimization [Realopt]
dc.contributor.authorPESSOA, Artur Alves
hal.structure.identifierReformulations based algorithms for Combinatorial Optimization [Realopt]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorSADYKOV, Ruslan
hal.structure.identifierUniversidade Federal Fluminense [Rio de Janeiro] [UFF]
dc.contributor.authorUCHOA, Eduardo
hal.structure.identifierReformulations based algorithms for Combinatorial Optimization [Realopt]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorVANDERBECK, François
dc.date.accessioned2024-04-04T03:10:09Z
dc.date.available2024-04-04T03:10:09Z
dc.date.created2017-07-09
dc.date.issued2018
dc.identifier.issn1091-9856
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193665
dc.description.abstractEnThe convergence of a column generation algorithm can be improved in practice by using stabilization techniques. Smoothing and proximal methods based on penalizing the deviation from the incumbent dual solution have become standards of the domain. Interpreting column generation as cutting plane strategies in the dual problem, we analyze the mechanisms on which stabilization relies. In particular, the link is established between smoothing and in-out separation strategies to derive generic convergence properties. For penalty function methods as well as for smoothing, we describe proposals for parameter self-adjusting schemes. Such schemes make initial parameter tuning less of an issue as corrections are made dynamically. Such adjustments also allow to adapt the parameters to the phase of the algorithm. We provide extensive test reports that validate our self-adjusting parameter scheme and highlight their performances. Our results also show that using smoothing in combination with penalty function yields a cumulative effect on convergence speed-ups.
dc.language.isoen
dc.publisherInstitute for Operations Research and the Management Sciences (INFORMS)
dc.subject.enStabilization
dc.subject.enCutting Plane Separation
dc.subject.enColumn Generation
dc.title.enAutomation and combination of linear-programming based stabilization techniques in column generation
dc.typeArticle de revue
dc.identifier.doi10.1287/ijoc.2017.0784
dc.subject.halMathématiques [math]/Optimisation et contrôle [math.OC]
dc.subject.halInformatique [cs]/Recherche opérationnelle [cs.RO]
bordeaux.journalINFORMS Journal on Computing
bordeaux.page339-360
bordeaux.volume30
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue2
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-01077984
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01077984v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=INFORMS%20Journal%20on%20Computing&rft.date=2018&rft.volume=30&rft.issue=2&rft.spage=339-360&rft.epage=339-360&rft.eissn=1091-9856&rft.issn=1091-9856&rft.au=PESSOA,%20Artur%20Alves&SADYKOV,%20Ruslan&UCHOA,%20Eduardo&VANDERBECK,%20Fran%C3%A7ois&rft.genre=article


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record