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Title: Variable neighbourhood search for the minimum labelling Steiner tree problem
Authors: Consoli, S
Darby-Dowman, K
Mladenović, N
Moreno Perez, J A
Keywords: Metaheuristics
Combinatorial optimization
Minimum labelling Steiner tree problem
Variable Neighbourhood Search
Publication Date: 2007
Series/Report no.: TR/03/07
Abstract: We present a study on heuristic solution approaches to the minimum labelling Steiner tree problem, an NP-hard graph problem related to the minimum labelling spanning tree problem. Given an undirected labelled connected graph, the aim is to find a spanning tree covering a given subset of nodes of the graph, whose edges have the smallest number of distinct labels. Such a model may be used to represent many real world problems in telecommunications and multimodal transportation networks. Several metaheuristics are proposed and evaluated. The approaches are compared to the widely adopted Pilot Method and it is shown that the Variable Neighbourhood Search metaheuristic is the most effective approach to the problem, obtaining high quality solutions in short computational running times.
Appears in Collections:Mathematical Science
Computer Science
Dept of Mathematics Research Papers

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