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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2013
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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) |
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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 |
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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 |
_version_ |
1718400854640295936 |