A data driven Dantzig–Wolfe decomposition framework

We face the issue of finding alternative paradigms for the resolution of generic Mixed Integer Programs (MIP), by considering the perspective option of general purpose solvers which switch to decomposition methods when pertinent. Currently, the main blocking factor in their design is the problem of...

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Bibliographic Details
Published in:	Mathematical programming computation Vol. 15; no. 1; pp. 153 - 194
Main Authors:	Basso, Saverio, Ceselli, Alberto
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2023 Springer Nature B.V
Subjects:	Algorithms Computing time Dantzig-Wolfe decomposition Decomposition Design factors Full Length Paper Integer programming Linear programming Machine learning Mathematics Mathematics and Statistics Mathematics of Computing Mixed integer Operations Research/Decision Theory Optimization Theory of Computation
ISSN:	1867-2949, 1867-2957
Online Access:	Get full text
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