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Optimizing Personalized Touristic Itineraries by a Multiobjective Evolutionary Algorithm

Author

Listed:
  • Ivanoe De Falco

    (ICAR, National Research Council of Italy, Via P. Castellino, Naples, 80131, Italy)

  • Umberto Scafuri

    (ICAR, National Research Council of Italy, Via P. Castellino, Naples, 80131, Italy)

  • Ernesto Tarantino

    (ICAR, National Research Council of Italy, Via P. Castellino, Naples, 80131, Italy)

Abstract

The paper presents an electronic tourist guide, relying on an evolutionary optimizer, able to plan personalized multiple-day itineraries by considering several contrasting objectives. Since the itinerary planning can be modeled as an extension of the NP-complete team orienteering problem with time windows, a multiobjective evolutionary optimizer is proposed to find in reasonable times near-optimal solutions to such an extension. This optimizer automatically designs the itinerary by aiming at maximizing the tourists’ satisfaction as a function of their personal preferences and environmental constraints, such as operating hours, visiting times and accessibility of the points of interests, and weather forecasting. Experimental evaluations have demonstrated that the proposed optimizer is effective in different simulated operating conditions.

Suggested Citation

  • Ivanoe De Falco & Umberto Scafuri & Ernesto Tarantino, 2016. "Optimizing Personalized Touristic Itineraries by a Multiobjective Evolutionary Algorithm," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1269-1312, November.
    • Handle: RePEc:wsi:ijitdm:v:15:y:2016:i:06:n:s0219622016500413
    DOI: 10.1142/S0219622016500413
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    References listed on IDEAS

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    Cited by:

    1. Ernesto Tarantino & Ivanoe De Falco & Umberto Scafuri, 2019. "A mobile personalized tourist guide and its user evaluation," Information Technology & Tourism, Springer, vol. 21(3), pages 413-455, September.
    2. R. Venkata Rao & Dhiraj P. Rai & J. Balic, 2019. "Multi-objective optimization of abrasive waterjet machining process using Jaya algorithm and PROMETHEE Method," Journal of Intelligent Manufacturing, Springer, vol. 30(5), pages 2101-2127, June.

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