An ant colony optimization algorithm for the min-degree constrained minimum spanning tree problem

dc.contributor.author Murthy, V. Venkata Ramana
dc.contributor.author Singh, Alok
dc.date.accessioned 2022-03-27T05:57:34Z
dc.date.available 2022-03-27T05:57:34Z
dc.date.issued 2013-12-01
dc.description.abstract Given a connected edge-weighted undirected graph, the min-degree constrained minimum spanning tree (MDCMST) problem seeks on this graph a spanning tree of least cost in which every non-leaf node have a degree of at least d in the spanning tree. This problem is NP-Hard for 3 ≤ d ≤ ⌊n/2⌋ where n is the number of nodes in the graph. In this paper, we have proposed an ant colony optimization based approach to this problem. The proposed approach has been tested on Euclidean and random instances both. Computational results show the effectiveness of the proposed approach. © 2013 Springer International Publishing.
dc.identifier.citation Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). v.8298 LNCS(PART 2)
dc.identifier.issn 03029743
dc.identifier.uri 10.1007/978-3-319-03756-1_8
dc.identifier.uri http://link.springer.com/10.1007/978-3-319-03756-1_8
dc.identifier.uri https://dspace.uohyd.ac.in/handle/1/8926
dc.subject Ant Colony Optimization Algorithm
dc.subject Combinatorial Optimization
dc.subject Min-Degree Constrained Minimum Spanning Tree Problem
dc.subject Swarm Intelligence
dc.title An ant colony optimization algorithm for the min-degree constrained minimum spanning tree problem
dc.type Book Series. Conference Paper
dspace.entity.type
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