Automatic Dantzig–Wolfe reformulation of mixed integer programs

Dantzig–Wolfe decomposition (or reformulation) is well-known to provide strong dual bounds for specially structured mixed integer programs (MIPs). However, the method is not implemented in any state-of-the-art MIP solver as it is considered to require structural problem knowledge and tailoring to th...

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Veröffentlicht in:	Mathematical programming Jg. 149; H. 1-2; S. 391 - 424
Hauptverfasser:	Bergner, Martin, Caprara, Alberto, Ceselli, Alberto, Furini, Fabio, Lübbecke, Marco E., Malaguti, Enrico, Traversi, Emiliano
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2015 Springer Nature B.V
Schlagworte:	Algorithms Analysis Automation Calculus of Variations and Optimal Control; Optimization Combinatorics Communities Construction Decomposition Estimates Full Length Paper Graph coloring Integer programming Mathematical analysis Mathematical and Computational Physics Mathematical Methods in Physics Mathematics Mathematics and Statistics Mathematics of Computing Mixed integer Numerical Analysis Solvers State of the art Studies Theoretical Matrix re-ordering Column generation 65K05 Dantzig–Wolfe decomposition Hypergraph partitioning Block-diagonal matrix 90C11 Automatic reformulation 49M27
ISSN:	0025-5610, 1436-4646
Online-Zugang:	Volltext
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