Title
Formulations and branch-and-cut algorithm for the k-rooted mini-max spanning forest problem
Abstract
In this paper, we discuss two Integer Programming Formulations for the K-rooted Mini-max Spanning Forest Problem. In the first, connectivity is reinforced through Generalized Subtour Breaking inequalities while the second uses Directed cutset constraints. We implement a Branch-and-cut method based on the first formulation that also computes combinatorial lower bounds from the literature and implements a Linear Programming based multi-start heuristic. Our computational results suggest that the Linear Programming lower bounds compare favorably to combinatorial lower bounds. Instances generated as suggested in the literature were solved easily by the algorithms proposed in this study.
Year
DOI
Venue
2011
10.1007/978-3-642-21527-8_6
INOC
Keywords
Field
DocType
computational result,linear programming,multi-start heuristic,forest problem,computes combinatorial,k-rooted mini-max,branch-and-cut algorithm,branch-and-cut method,k-rooted mini-max spanning forest,integer programming formulations,lower bound,generalized subtour,directed cutset constraint
Extreme point,Mathematical optimization,Heuristic,Branch and cut,Algorithm,Supply chain network,Integer programming,Linear programming,Linear programming relaxation,Mathematics,Dense graph
Conference
Volume
ISSN
Citations 
6701
0302-9743
1
PageRank 
References 
Authors
0.41
4
3
Name
Order
Citations
PageRank
Alexandre Salles da Cunha124222.32
Luidi Simonetti215215.82
Abilio Lucena336234.05