Quasi-separable dantzig-wolfe reformulations for network design

Frangioni A.
;
Gorgone E.
2020-01-01

Abstract

Under mild assumptions that are satisfied for many network design models, we show that the Lagrangian dual obtained by relaxing the flow constraints is what we call “quasi-separable”. This property implies that the Dantzig-Wolfe (DW) reformulation of the Lagrangian dual exhibits two sets of convex combination constraints, one in terms of the design variables and the other in terms of the flow variables, the latter being linked to the design variables. We compare the quasi-separable DW reformulation to the standard disaggregated DW reformulation. We illustrate the concepts on a particular case, the budget-constrained multicommodity capacitated unsplittable network design problem.
2020
Inglese
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9783030532611
9783030532628
Springer
12176
227
236
10
6th International Symposium on Combinatorial Optimization, ISCO 2020
Comitato scientifico
2020
can
scientifica
Dantzig-Wolfe reformulations
Lagrangian relaxation
Network design
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Frangioni, A.; Gendron, B.; Gorgone, E.
273
3
4.1 Contributo in Atti di convegno
none
info:eu-repo/semantics/conferencePaper
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