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Tabu Search for Generalized Minimum Spanning Tree Problem

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PRICAI 2006: Trends in Artificial Intelligence (PRICAI 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4099))

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Abstract

The Generalized Minimum Spanning Tree (GMST) problem requires spanning exactly one node from every cluster in an undirected graph. GMST problems are encountered in telecommunications network planning. A Tabu Search (TS) for the GMST problem is presented in this article. In our computational tests on 194 TSPLIB instances, TS found 152 optimal solutions. For those 42 unsolved instances, our algorithm has improved some previously best known solutions. Lower bounds of some unknown problems are improved by our heuristic relaxation algorithm.

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Author information

Authors and Affiliations

  1. School of Computer Science & Engineering, South China University of Technology, Guang Dong, P.R. China

    Zhenyu Wang & Andrew Lim

  2. Dept of Industrial Engineering and Logistics Management, Hong Kong Univ of Science and Technology, Clear Water Bay, Kowloon, Hong Kong

    Chan Hou Che & Andrew Lim

Authors
  1. Zhenyu Wang
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  2. Chan Hou Che
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  3. Andrew Lim
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Editor information

Editors and Affiliations

  1. The Hong Kong University of Science and Technology,, Hong Kong

    Qiang Yang

  2. Clayton School of Information Technology, Monash University, P.O. Box, Australia

    Geoff Webb

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© 2006 Springer-Verlag Berlin Heidelberg

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Wang, Z., Che, C.H., Lim, A. (2006). Tabu Search for Generalized Minimum Spanning Tree Problem. In: Yang, Q., Webb, G. (eds) PRICAI 2006: Trends in Artificial Intelligence. PRICAI 2006. Lecture Notes in Computer Science(), vol 4099. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36668-3_106

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  • DOI: https://doi.org/10.1007/978-3-540-36668-3_106

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36667-6

  • Online ISBN: 978-3-540-36668-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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