New heuristics for two bounded-degree spanning tree problems

dc.contributor.author Sundar, Shyam
dc.contributor.author Singh, Alok
dc.contributor.author Rossi, André
dc.date.accessioned 2022-03-27T06:01:06Z
dc.date.available 2022-03-27T06:01:06Z
dc.date.issued 2012-07-15
dc.description.abstract A vertex v of a connected graph G = (V, E) is called a branch vertex if its degree is greater than two. Pertaining to branch vertices, this paper studies two optimization problems having roots in the domain of optical networks. The first one, referred to as MBV, seeks a spanning tree T of G with the minimum number of branch vertices, whereas the second problem, referred to as MDS, seeks a spanning tree T of G with the minimum degree sum of branch vertices. Both MBV and MDS are NP-Hard. Two heuristics approaches are presented for each problem. The first approach is a problem specific heuristic, whereas the latter one is a hybrid ant-colony optimization algorithm. Computational results show the effectiveness of our proposed approaches. © 2012 Elsevier Inc. All rights reserved.
dc.identifier.citation Information Sciences. v.195
dc.identifier.issn 00200255
dc.identifier.uri 10.1016/j.ins.2012.01.037
dc.identifier.uri https://www.sciencedirect.com/science/article/abs/pii/S0020025512000655
dc.identifier.uri https://dspace.uohyd.ac.in/handle/1/9115
dc.subject Ant colony optimization
dc.subject Branch vertex
dc.subject Heuristic
dc.subject Spanning tree
dc.subject Swarm intelligence
dc.title New heuristics for two bounded-degree spanning tree problems
dc.type Journal. Article
dspace.entity.type
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