Title
Stronger column generation bounds for the Minimum Cost Hop-and-root Constrained Forest Problem.
Abstract
In this paper, we present a Dantzig-Wolfe reformulation for the Minimum Cost Hop-and-root Constrained Forest Problem and discuss a Column Generation (CG) method to evaluate its Linear Programming (LP) bounds. For solving one of two types of pricing problems that arise in CG, we compared two solution strategies: Dynamic Programming and a Branch-and-cut (BC) algorithm. In general, CG performed much better when BC was used. Not only the LP bounds implied by the proposed reformulation are much stronger than the multi-commodity flow bounds from the literature, but also could be evaluated with less computational time. A Column Generation Heuristic was discussed and implemented, providing upper bounds that are, on average, within 2.3% of optimality.
Year
DOI
Venue
2011
10.1016/j.endm.2011.05.054
Electronic Notes in Discrete Mathematics
Keywords
Field
DocType
Combinatorial optimization,Hop-constrained trees,Column Generation
Dynamic programming,Mathematical optimization,Column generation,Heuristic,Combinatorics,Combinatorial optimization,Linear programming,Hop (networking),Mathematics
Journal
Volume
ISSN
Citations 
37
1571-0653
1
PageRank 
References 
Authors
0.36
3
3
Name
Order
Citations
PageRank
Dilson Lucas Pereira1274.15
Alexandre Salles da Cunha224222.32
Geraldo Robson Mateus341342.30