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The travelling salesperson problem with hotel selection

Author

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  • P Vansteenwegen

    (1] Ghent University, Ghent, Belgium[2] Centre for Industrial Management, Katholieke Universiteit Leuven, Katholieke, Belgium)

  • W Souffriau

    (Centre for Industrial Management, Katholieke Universiteit Leuven, Katholieke, Belgium)

  • K Sörensen

    (University of Antwerp, Antwerpen, Belgium)

Abstract

In this paper, we present the travelling salesperson problem with hotel selection (TSPHS), an extension of the TSP with a number of interesting applications. We present a mathematical formulation, explain the difference with related optimization problems and indicate what makes this problem inherently more difficult. We develop a simple but efficient heuristic that uses two constructive initialization procedures and an improvement procedure consisting of several neighbourhood search operators designed specifically for this problem, as well as some typical neighbourhoods from the literature. We generate several benchmark instances of varying sizes and compare the performance of our heuristic with CPLEX (10.0). We also generate some problems with known optimal solutions and use these to further demonstrate that our heuristic achieves good results in very limited computation times.

Suggested Citation

  • P Vansteenwegen & W Souffriau & K Sörensen, 2012. "The travelling salesperson problem with hotel selection," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 63(2), pages 207-217, February.
    • Handle: RePEc:pal:jorsoc:v:63:y:2012:i:2:p:207-217
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    Citations

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    Cited by:

    1. Gabriel Bazi & John Khoury & F. Jordan Srour, 2017. "Integrating Data Collection Optimization into Pavement Management Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(3), pages 135-146, June.
    2. Maximilian Schiffer & Michael Schneider & Grit Walther & Gilbert Laporte, 2019. "Vehicle Routing and Location Routing with Intermediate Stops: A Review," Transportation Science, INFORMS, vol. 53(2), pages 319-343, March.
    3. Sohrabi, Somayeh & Ziarati, Koorush & Keshtkaran, Morteza, 2020. "A Greedy Randomized Adaptive Search Procedure for the Orienteering Problem with Hotel Selection," European Journal of Operational Research, Elsevier, vol. 283(2), pages 426-440.
    4. Divsalar, A. & Vansteenwegen, P. & Sörensen, K. & Cattrysse, D., 2014. "A memetic algorithm for the orienteering problem with hotel selection," European Journal of Operational Research, Elsevier, vol. 237(1), pages 29-49.
    5. Wu, Lunwen & Wang, Zhouyiying & Liao, Zhixue & Xiao, Di & Han, Peng & Li, Wenyong & Chen, Qin, 2024. "Multi-day tourism recommendations for urban tourists considering hotel selection: A heuristic optimization approach," Omega, Elsevier, vol. 126(C).
    6. Du, Jiaoman & Zhou, Jiandong & Li, Xiang & Li, Lei & Guo, Ao, 2021. "Integrated self-driving travel scheme planning," International Journal of Production Economics, Elsevier, vol. 232(C).
    7. Divsalar, A. & Vansteenwegen, P. & Cattrysse, D., 2013. "A variable neighborhood search method for the orienteering problem with hotel selection," International Journal of Production Economics, Elsevier, vol. 145(1), pages 150-160.

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