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Variable neighbourhood search for the minimum labelling Steiner tree problem

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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 that we propose is the most effective metaheuristic for the problem, obtaining high quality solutions in short computational running times.

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Authors and Affiliations

  1. CARISMA and NET-ACE, School of Information Systems, Computing and Mathematics, Brunel University, Uxbridge, Middlesex, UB8 3PH, UK

    Sergio Consoli, Kenneth Darby-Dowman & Nenad Mladenović

  2. Facultad de Matemáticas, DEIOC, IUDR, Universidad de La Laguna, 4a planta Astrofisico Francisco Sánchez s/n, 38271, Santa Cruz de Tenerife, Spain

    José Andrés Moreno-Pérez

Authors
  1. Sergio Consoli
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  2. Kenneth Darby-Dowman
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  3. Nenad Mladenović
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  4. José Andrés Moreno-Pérez
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Corresponding author

Correspondence to Sergio Consoli.

Additional information

Sergio Consoli was supported by an E.U. Marie Curie Fellowship for Early Stage Researcher Training (EST-FP6) under grant number MEST-CT-2004-006724 at Brunel University (project NET-ACE).

José Andrés Moreno-Pérez was supported by the projects TIN2005-08404-C04-03 of the Spanish Government (with financial support from the European Union under the FEDER project) and PI042005/044 of the Canary Government.

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Consoli, S., Darby-Dowman, K., Mladenović, N. et al. Variable neighbourhood search for the minimum labelling Steiner tree problem. Ann Oper Res 172, 71–96 (2009). https://doi.org/10.1007/s10479-008-0507-y

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