Genetic Algorithm For Tourism Route Planning Considering Time Constrains

Genetic Algorithm For Tourism Route Planning Considering Time Constrains
  IJETT-book-cover           
  
© 2022 by IJETT Journal
Volume-70 Issue-1
Year of Publication : 2022
Authors : Ka-Cheng Choi, Sha Li, Chan-Tong Lam, Angus Wong, Philip Lei, Benjamin Ng, Ka-Meng Siu
DOI :  10.14445/22315381/IJETT-V70I1P219

How to Cite?

Ka-Cheng Choi, Sha Li, Chan-Tong Lam, Angus Wong, Philip Lei, Benjamin Ng, Ka-Meng Siu, "Genetic Algorithm For Tourism Route Planning Considering Time Constrains," International Journal of Engineering Trends and Technology, vol. 70, no. 3, pp. 170-178, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I1P219

Abstract
Tourism route planning is an indispensable but time-consuming task before departure. Tourists need to study the places to visit, arrange the length of stay and determine the order of visits. In recent years, many intelligent route planning tools have been developed to extricate tourists from this tedious process. However, automatic route planning for tourism is still challenging, especially when it takes into account the preference of tourists and practical constraints (such as the operation time window of attractions). In this paper, we developed a multiobjective itinerary planning method based on a genetic algorithm to schedule traveling routes for multi-day trips and successfully applied the proposed method in Macau.

Keywords
tourism route planning, itinerary planning, multi-day trip, multi-objective optimization, genetic algorithm.

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