Title
Heuristics for the strong generalized minimum label spanning tree problem
Abstract
In this work we introduce and study the strong generalized minimum label spanning tree (GMLST), a novel optimization problem defined on edge-labeled graphs. Given a label set associated to each edge of the input graph, the aim is to look for the spanning tree using the minimum number of labels. Differently from the previously introduced GMLST problem, including a given edge in the solution means that all its labels are used. We present a mathematical formulation, as well as three heuristic approaches to solve the problem. Computational results compare the performances of the proposed algorithms.
Year
DOI
Venue
2019
10.1002/net.21882
NETWORKS
Keywords
Field
DocType
carousel greedy,generalized problem,minimum label spanning tree,pilot method
Information system,Mathematical optimization,Theoretical computer science,Software,Heuristics,Spanning tree,Mathematics
Journal
Volume
Issue
ISSN
74.0
2.0
0028-3045
Citations 
PageRank 
References 
1
0.35
14
Authors
3
Name
Order
Citations
PageRank
Carmine Cerrone1407.45
Ciriaco D'Ambrosio2343.69
A. Raiconi31319.68