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The table placement problem: a research challenge at the EWI 2007

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  • Sergio García
  • Valentina Cacchiani
  • Lieselot Vanhaverbeke
  • Martin Bischoff

Abstract

The table placement problem consists in deciding how to seat the participants attending a social lunch or dinner so that the total social benefit of the event is maximum. Four different approaches are presented: a linear model, a bin-packing-based-approach, a quadratic assignment problem, and a greedy heuristic. The different formulations are computationally compared over a set of artificial instances and on the real data for the EURO Winter Institute 2007 Gala dinner. Copyright Sociedad de Estadística e Investigación Operativa 2014

Suggested Citation

  • Sergio García & Valentina Cacchiani & Lieselot Vanhaverbeke & Martin Bischoff, 2014. "The table placement problem: a research challenge at the EWI 2007," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(1), pages 208-226, April.
    • Handle: RePEc:spr:topjnl:v:22:y:2014:i:1:p:208-226
    DOI: 10.1007/s11750-012-0249-5
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    References listed on IDEAS

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    1. K R Baker & S G Powell, 2002. "Methods for assigning students to groups: a study of alternative objective functions," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(4), pages 397-404, April.
    2. Klaus Jansen, 1999. "An Approximation Scheme for Bin Packing with Conflicts," Journal of Combinatorial Optimization, Springer, vol. 3(4), pages 363-377, December.
    3. O'Brien, F. A. & Mingers, J., 1997. "A heuristic algorithm for the equitable partitioning problem," Omega, Elsevier, vol. 25(2), pages 215-223, April.
    4. Mingers, J. & O'Brien, F. A., 1995. "Creating student groups with similar characteristics: A heuristic approach," Omega, Elsevier, vol. 23(3), pages 313-321, June.
    5. B M Baker & C Benn, 2001. "Assigning pupils to tutor groups in a comprehensive school," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(6), pages 623-629, June.
    6. Albert E. Fernandes Muritiba & Manuel Iori & Enrico Malaguti & Paolo Toth, 2010. "Algorithms for the Bin Packing Problem with Conflicts," INFORMS Journal on Computing, INFORMS, vol. 22(3), pages 401-415, August.
    7. J Desrosiers & N Mladenović & D Villeneuve, 2005. "Design of balanced MBA student teams," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(1), pages 60-66, January.
    8. Plastria, Frank, 2002. "Formulating logical implications in combinatorial optimisation," European Journal of Operational Research, Elsevier, vol. 140(2), pages 338-353, July.
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    Cited by:

    1. Roland Oliver Hales & Sergio García, 2019. "Congress seat allocation using mathematical optimization," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(3), pages 426-455, October.

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