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Column Generation based Primal Heuristics
hal.structure.identifier | Reformulations based algorithms for Combinatorial Optimization [Realopt] | |
hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
dc.contributor.author | JONCOUR, Cédric | |
hal.structure.identifier | Reformulations based algorithms for Combinatorial Optimization [Realopt] | |
hal.structure.identifier | Laboratoire de Mathématiques Appliquées du Havre [LMAH] | |
dc.contributor.author | MICHEL, Sophie | |
hal.structure.identifier | Reformulations based algorithms for Combinatorial Optimization [Realopt] | |
hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
dc.contributor.author | SADYKOV, Ruslan | |
hal.structure.identifier | Reformulations based algorithms for Combinatorial Optimization [Realopt] | |
hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
dc.contributor.author | SVERDLOV, Dmitry | |
hal.structure.identifier | Reformulations based algorithms for Combinatorial Optimization [Realopt] | |
hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
dc.contributor.author | VANDERBECK, François | |
dc.date.accessioned | 2024-04-04T02:22:34Z | |
dc.date.available | 2024-04-04T02:22:34Z | |
dc.date.issued | 2010-03-24 | |
dc.date.conference | 2010-03-24 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/189662 | |
dc.description.abstractEn | In the past decade, significant progress has been achieved in developing generic primal heuristics that made their way into commercial mixed integer programming (MIP) solver. Extensions to the context of a column generation solution approach are not straightforward. The Dantzig-Wolfe decomposition principle can indeed be exploited in greedy, local search, rounding or truncated exact methods. The price coordination mechanism can bring a global view that may be lacking in some ''myopic'' approaches based on a compact formulation. However, the dynamic generation of variables requires specific adaptation of heuristic paradigms. The column generation literature reports many application specific studies where primal heuristics are a key to success. There remains to extract generic methods that could be seen as black-box primal heuristics for use across applications. In this paper we review generic classes of column generation based primal heuristics. We then focus on a so-called ''diving'' method in which we introduce diversification based on Limited Discrepancy Search. While being a general purpose approach, the implementation of our heuristic illustrates the technicalities specific to column generation. The method is numerically tested on variants of the cutting stock and vehicle routing problems. | |
dc.language.iso | en | |
dc.title.en | Column Generation based Primal Heuristics | |
dc.type | Communication dans un congrès | |
dc.identifier.doi | 10.1016/j.endm.2010.05.088 | |
dc.subject.hal | Informatique [cs]/Recherche opérationnelle [cs.RO] | |
bordeaux.page | 695-702 | |
bordeaux.volume | 36 | |
bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
bordeaux.institution | Université de Bordeaux | |
bordeaux.institution | Bordeaux INP | |
bordeaux.institution | CNRS | |
bordeaux.conference.title | International Symposium on Combinatorial Optimization (ISCO) | |
bordeaux.country | TN | |
bordeaux.conference.city | HaMMamet | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-00790610 | |
hal.version | 1 | |
hal.invited | non | |
hal.proceedings | oui | |
hal.conference.end | 2010-03-26 | |
hal.popular | non | |
hal.audience | Internationale | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-00790610v1 | |
bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2010-03-24&rft.volume=36&rft.spage=695-702&rft.epage=695-702&rft.au=JONCOUR,%20C%C3%A9dric&MICHEL,%20Sophie&SADYKOV,%20Ruslan&SVERDLOV,%20Dmitry&VANDERBECK,%20Fran%C3%A7ois&rft.genre=unknown |
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