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Solving the Travelling Umpire Problem with Answer Set Programming

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BNAIC 2016: Artificial Intelligence (BNAIC 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 765))

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Abstract

In this paper, we develop an Answer Set Programming (ASP) solution to the Travelling Umpire Problem (TUP). We investigate a number of different ways to improve the computational performance of this solution and compare it to the current state-of-the-art. Our results demonstrate that the ASP solution is superior to other declarative solutions, such as Constraint Programming, but that it cannot match the most recent special-purpose algorithms from the literature. However, when compared to the earlier generation of special-purpose algorithms, it does quite well.

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Authors and Affiliations

  1. Department of Computer Science @ Technology Campus De Nayer, KU Leuven, J.-P. De Nayerlaan 5, 2860, St-katelijne-waver, Belgium

    Joost Vennekens

Authors
  1. Joost Vennekens
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Correspondence to Joost Vennekens .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Tibor Bosse

  2. Informatics Institute, University of Amsterdam, Amsterdam, The Netherlands

    Bert Bredeweg

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Vennekens, J. (2017). Solving the Travelling Umpire Problem with Answer Set Programming. In: Bosse, T., Bredeweg, B. (eds) BNAIC 2016: Artificial Intelligence. BNAIC 2016. Communications in Computer and Information Science, vol 765. Springer, Cham. https://doi.org/10.1007/978-3-319-67468-1_8

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  • DOI: https://doi.org/10.1007/978-3-319-67468-1_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67467-4

  • Online ISBN: 978-3-319-67468-1

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