IDEAS home Printed from https://ideas.repec.org/a/spr/infott/v26y2024i4d10.1007_s40558-024-00297-w.html
   My bibliography  Save this article

Solving the tourist trip planning problem with attraction patterns using meta-heuristic techniques

Author

Listed:
  • Kadri Sylejmani

    (University of Prishtina)

  • Vigan Abdurrahmani

    (University of Prishtina)

  • Arben Ahmeti

    (Riinvest College)

  • Egzon Gashi

    (University of Prishtina)

Abstract

The Tourist Trip Design Problem (TTDP) is a challenging task that involves designing an optimal travel itinerary for a tourist visiting multiple Points of Interest (POIs) within a specific city or region, while considering budget, time constraints, and multiple knapsack constraints. To create a customized itinerary that maximizes enjoyment and minimizes travel costs, factors such as POI distance, attractions, categories of POIs, and the tourist’s preferences must be considered. This paper introduces a local search technique for an extended variant of TTDP that includes pattern sequence for POI categories, recently defined by our team. Our approach builds upon existing state-of-the-art solvers based on ILS for the Multi Constrained Team Orienteering Problem with Time Windows (MCTOPTW) variant. The approach has been put to the test and proved its worth by generating high-quality solutions, comparable to the state-of-the-art solvers for simpler variants of TTDP. A test set of 146 instances was used to demonstrate the approach’s effectiveness.

Suggested Citation

  • Kadri Sylejmani & Vigan Abdurrahmani & Arben Ahmeti & Egzon Gashi, 2024. "Solving the tourist trip planning problem with attraction patterns using meta-heuristic techniques," Information Technology & Tourism, Springer, vol. 26(4), pages 633-678, December.
    • Handle: RePEc:spr:infott:v:26:y:2024:i:4:d:10.1007_s40558-024-00297-w
    DOI: 10.1007/s40558-024-00297-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40558-024-00297-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s40558-024-00297-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Giorgos Stamatelatos & George Drosatos & Sotirios Gyftopoulos & Helen Briola & Pavlos S. Efraimidis, 2021. "Point-of-interest lists and their potential in recommendation systems," Information Technology & Tourism, Springer, vol. 23(2), pages 209-239, June.
    3. Bruce L. Golden & Larry Levy & Rakesh Vohra, 1987. "The orienteering problem," Naval Research Logistics (NRL), John Wiley & Sons, vol. 34(3), pages 307-318, June.
    4. Gunawan, Aldy & Lau, Hoong Chuin & Vansteenwegen, Pieter, 2016. "Orienteering Problem: A survey of recent variants, solution approaches and applications," European Journal of Operational Research, Elsevier, vol. 255(2), pages 315-332.
    5. 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.
    6. Alain Hertz & Michel Mittaz, 2001. "A Variable Neighborhood Descent Algorithm for the Undirected Capacitated Arc Routing Problem," Transportation Science, INFORMS, vol. 35(4), pages 425-434, November.
    7. Vansteenwegen, Pieter & Souffriau, Wouter & Oudheusden, Dirk Van, 2011. "The orienteering problem: A survey," European Journal of Operational Research, Elsevier, vol. 209(1), pages 1-10, February.
    8. Xin Feng & Shaohua Wang & Alan T Murray & Yuanpei Cao & Song Gao, 2021. "Multi-objective trajectory optimization in planning for sequential activities across space and through time," Environment and Planning B, , vol. 48(4), pages 945-963, May.
    9. Chao, I-Ming & Golden, Bruce L. & Wasil, Edward A., 1996. "The team orienteering problem," European Journal of Operational Research, Elsevier, vol. 88(3), pages 464-474, February.
    10. Helena Ramalhinho Lourenço & Olivier C. Martin & Thomas Stützle, 2019. "Iterated Local Search: Framework and Applications," International Series in Operations Research & Management Science, in: Michel Gendreau & Jean-Yves Potvin (ed.), Handbook of Metaheuristics, edition 3, chapter 0, pages 129-168, Springer.
    11. 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.
    12. Wouter Souffriau & Pieter Vansteenwegen & Greet Vanden Berghe & Dirk Van Oudheusden, 2013. "The Multiconstraint Team Orienteering Problem with Multiple Time Windows," Transportation Science, INFORMS, vol. 47(1), pages 53-63, February.
    13. Marius M. Solomon, 1987. "Algorithms for the Vehicle Routing and Scheduling Problems with Time Window Constraints," Operations Research, INFORMS, vol. 35(2), pages 254-265, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gunawan, Aldy & Lau, Hoong Chuin & Vansteenwegen, Pieter, 2016. "Orienteering Problem: A survey of recent variants, solution approaches and applications," European Journal of Operational Research, Elsevier, vol. 255(2), pages 315-332.
    2. Ruiz-Meza, José & Montoya-Torres, Jairo R., 2022. "A systematic literature review for the tourist trip design problem: Extensions, solution techniques and future research lines," Operations Research Perspectives, Elsevier, vol. 9(C).
    3. Wu, Qinghua & He, Mu & Hao, Jin-Kao & Lu, Yongliang, 2024. "An effective hybrid evolutionary algorithm for the clustered orienteering problem," European Journal of Operational Research, Elsevier, vol. 313(2), pages 418-434.
    4. Afsaneh Amiri & Majid Salari, 2019. "Time-constrained maximal covering routing problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(2), pages 415-468, June.
    5. Kotiloglu, S. & Lappas, T. & Pelechrinis, K. & Repoussis, P.P., 2017. "Personalized multi-period tour recommendations," Tourism Management, Elsevier, vol. 62(C), pages 76-88.
    6. Maryam Ataei & Ali Divsalar & Morteza Saberi, 2024. "The bi-objective orienteering problem with hotel selection: an integrated text mining optimisation approach," Information Technology and Management, Springer, vol. 25(3), pages 247-275, September.
    7. Li, Jiaojiao & Zhu, Jianghan & Peng, Guansheng & Wang, Jianjiang & Zhen, Lu & Demeulemeester, Erik, 2024. "Branch-Price-and-Cut algorithms for the team orienteering problem with interval-varying profits," European Journal of Operational Research, Elsevier, vol. 319(3), pages 793-807.
    8. Aldy Gunawan & Hoong Chuin Lau & Pieter Vansteenwegen & Kun Lu, 2017. "Well-tuned algorithms for the Team Orienteering Problem with Time Windows," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(8), pages 861-876, August.
    9. Kim, Hyunjoon & Kim, Byung-In, 2022. "Hybrid dynamic programming with bounding algorithm for the multi-profit orienteering problem," European Journal of Operational Research, Elsevier, vol. 303(2), pages 550-566.
    10. Hu, Qian & Lim, Andrew, 2014. "An iterative three-component heuristic for the team orienteering problem with time windows," European Journal of Operational Research, Elsevier, vol. 232(2), pages 276-286.
    11. Yu, Qinxiao & Fang, Kan & Zhu, Ning & Ma, Shoufeng, 2019. "A matheuristic approach to the orienteering problem with service time dependent profits," European Journal of Operational Research, Elsevier, vol. 273(2), pages 488-503.
    12. Balcik, Burcu, 2017. "Site selection and vehicle routing for post-disaster rapid needs assessment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 30-58.
    13. Qinxiao Yu & Yossiri Adulyasak & Louis-Martin Rousseau & Ning Zhu & Shoufeng Ma, 2022. "Team Orienteering with Time-Varying Profit," INFORMS Journal on Computing, INFORMS, vol. 34(1), pages 262-280, January.
    14. Zhao, Yanlu & Alfandari, Laurent, 2020. "Design of diversified package tours for the digital travel industry : A branch-cut-and-price approach," European Journal of Operational Research, Elsevier, vol. 285(3), pages 825-843.
    15. Orlis, Christos & Laganá, Demetrio & Dullaert, Wout & Vigo, Daniele, 2020. "Distribution with Quality of Service Considerations: The Capacitated Routing Problem with Profits and Service Level Requirements," Omega, Elsevier, vol. 93(C).
    16. Rahma Lahyani & Mahdi Khemakhem & Frédéric Semet, 2017. "A unified matheuristic for solving multi-constrained traveling salesman problems with profits," EURO Journal on Computational Optimization, Springer;EURO - The Association of European Operational Research Societies, vol. 5(3), pages 393-422, September.
    17. Christos Orlis & Nicola Bianchessi & Roberto Roberti & Wout Dullaert, 2020. "The Team Orienteering Problem with Overlaps: An Application in Cash Logistics," Transportation Science, INFORMS, vol. 54(2), pages 470-487, March.
    18. Zhang, Guowei & Jia, Ning & Zhu, Ning & Adulyasak, Yossiri & Ma, Shoufeng, 2023. "Robust drone selective routing in humanitarian transportation network assessment," European Journal of Operational Research, Elsevier, vol. 305(1), pages 400-428.
    19. Freeman, Nickolas K. & Keskin, Burcu B. & Çapar, İbrahim, 2018. "Attractive orienteering problem with proximity and timing interactions," European Journal of Operational Research, Elsevier, vol. 266(1), pages 354-370.
    20. Dursunoglu, Cagla F. & Arslan, Okan & Demir, Sebnem Manolya & Kara, Bahar Y. & Laporte, Gilbert, 2025. "A unifying framework for selective routing problems," European Journal of Operational Research, Elsevier, vol. 320(1), pages 1-19.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infott:v:26:y:2024:i:4:d:10.1007_s40558-024-00297-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.