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Creating seating plans: a practical application

Author

Listed:
  • Rhyd Lewis

    (Cardiff University)

  • Fiona Carroll

    (University of South Wales)

Abstract

This paper examines the interesting problem of designing seating plans for large events such as weddings and gala dinners where, among other things, the aim is to construct solutions where guests are sat on the same tables as friends and family, but, perhaps more importantly, are kept away from those they dislike. This problem is seen to be -complete from a number of different perspectives. We describe the problem model and heuristic algorithm that is used on the commercial website www.weddingseatplanner.com . We present results on the performance of this algorithm, demonstrating the factors that can influence run time and solution quality, and also present a comparison with an equivalent IP model used in conjunction with a commercial solver.

Suggested Citation

  • Rhyd Lewis & Fiona Carroll, 2016. "Creating seating plans: a practical application," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(11), pages 1353-1362, November.
  • Handle: RePEc:pal:jorsoc:v:67:y:2016:i:11:d:10.1057_jors.2016.34
    DOI: 10.1057/jors.2016.34
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    Citations

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    Cited by:

    1. Haque, Md Tabish & Hamid, Faiz, 2023. "Social distancing and revenue management—A post-pandemic adaptation for railways," Omega, Elsevier, vol. 114(C).
    2. Philippe Olivier & Andrea Lodi & Gilles Pesant, 2021. "The Quadratic Multiknapsack Problem with Conflicts and Balance Constraints," INFORMS Journal on Computing, INFORMS, vol. 33(3), pages 949-962, July.
    3. Dhananjay Thiruvady & Rhyd Lewis & Kerri Morgan, 2020. "Tackling the maximum happy vertices problem in large networks," 4OR, Springer, vol. 18(4), pages 507-527, December.
    4. Bradley Hardy & Rhyd Lewis & Jonathan Thompson, 2018. "Tackling the edge dynamic graph colouring problem with and without future adjacency information," Journal of Heuristics, Springer, vol. 24(3), pages 321-343, June.

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