Classification of Dantzig–Wolfe reformulations for binary mixed integer programming problems

In this note, we provide a classification of Dantzig–Wolfe reformulations for Binary Mixed Integer Programming Problems. We specifically focus on modeling the binary conditions in the convexification approach to the Dantzig–Wolfe decomposition. For a general Binary Mixed Integer Programming problem,...

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Veröffentlicht in:	European journal of operational research Jg. 204; H. 2; S. 251 - 254
1. Verfasser:	Jans, Raf
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 16.07.2010 Elsevier Elsevier Sequoia S.A
Schriftenreihe:	European Journal of Operational Research
Schlagworte:	Applied sciences Classification Dantzig–Wolfe decomposition Exact sciences and technology Feasibility Integer programming Mathematical programming Mixed integer programming Mixed integer programming Dantzig-Wolfe decomposition Reformulation Operational research and scientific management Operational research. Management science Reformulation Studies Dantzig–Wolfe decomposition Mixed integer programming Reformulation Column generation Zero one programming Extremum Classification Linear programming Dantzig-Wolfe decomposition Modeling
ISSN:	0377-2217, 1872-6860
Online-Zugang:	Volltext
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