Strong and compact relaxations in the original space using a compact extended formulation

For certain integer programs, one way to obtain a strong dual bound is to use an extended formulation and then solve the associated linear programming relaxation. The classical way to obtain a bound of the same value in the original variable space is through the use of Benders’ algorithm. Here, we p...

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Autores principales: Mathieu Van Vyve, Laurence A. Wolsey
Formato: article
Lenguaje:EN
Publicado: Elsevier 2013
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Acceso en línea:https://doaj.org/article/cd52db78cd6145d39f64f83427059510
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spelling oai:doaj.org-article:cd52db78cd6145d39f64f834270595102021-12-02T05:00:35ZStrong and compact relaxations in the original space using a compact extended formulation2192-440610.1007/s13675-012-0004-6https://doaj.org/article/cd52db78cd6145d39f64f834270595102013-05-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2192440621000125https://doaj.org/toc/2192-4406For certain integer programs, one way to obtain a strong dual bound is to use an extended formulation and then solve the associated linear programming relaxation. The classical way to obtain a bound of the same value in the original variable space is through the use of Benders’ algorithm. Here, we propose an alternative approach based on a decomposition of the dual optimal solution of the extended formulation linear program. An example of the approach using the multi-commodity formulation of a two-level production/transportation problem is presented.Mathieu Van VyveLaurence A. WolseyElsevierarticleProduction SiteExtended FormulationDecomposition AlgorithmValid InequalityLinear Programming RelaxationApplied mathematics. Quantitative methodsT57-57.97Electronic computers. Computer scienceQA75.5-76.95ENEURO Journal on Computational Optimization, Vol 1, Iss 1, Pp 71-80 (2013)
institution DOAJ
collection DOAJ
language EN
topic Production Site
Extended Formulation
Decomposition Algorithm
Valid Inequality
Linear Programming Relaxation
Applied mathematics. Quantitative methods
T57-57.97
Electronic computers. Computer science
QA75.5-76.95
spellingShingle Production Site
Extended Formulation
Decomposition Algorithm
Valid Inequality
Linear Programming Relaxation
Applied mathematics. Quantitative methods
T57-57.97
Electronic computers. Computer science
QA75.5-76.95
Mathieu Van Vyve
Laurence A. Wolsey
Strong and compact relaxations in the original space using a compact extended formulation
description For certain integer programs, one way to obtain a strong dual bound is to use an extended formulation and then solve the associated linear programming relaxation. The classical way to obtain a bound of the same value in the original variable space is through the use of Benders’ algorithm. Here, we propose an alternative approach based on a decomposition of the dual optimal solution of the extended formulation linear program. An example of the approach using the multi-commodity formulation of a two-level production/transportation problem is presented.
format article
author Mathieu Van Vyve
Laurence A. Wolsey
author_facet Mathieu Van Vyve
Laurence A. Wolsey
author_sort Mathieu Van Vyve
title Strong and compact relaxations in the original space using a compact extended formulation
title_short Strong and compact relaxations in the original space using a compact extended formulation
title_full Strong and compact relaxations in the original space using a compact extended formulation
title_fullStr Strong and compact relaxations in the original space using a compact extended formulation
title_full_unstemmed Strong and compact relaxations in the original space using a compact extended formulation
title_sort strong and compact relaxations in the original space using a compact extended formulation
publisher Elsevier
publishDate 2013
url https://doaj.org/article/cd52db78cd6145d39f64f83427059510
work_keys_str_mv AT mathieuvanvyve strongandcompactrelaxationsintheoriginalspaceusingacompactextendedformulation
AT laurenceawolsey strongandcompactrelaxationsintheoriginalspaceusingacompactextendedformulation
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