Abstract
With the rapid development of tourism, the demand for travel is becoming increasingly personalized. Travelers are increasingly traveling to places that they have not visited previously. When travelers decide to visit unfamiliar scenic spots, they need to spend a great deal of time making relevant travel plans. Therefore, we consider a system that is specifically designed to make travel plans for travelers when they visit a country or city for the first time. Simultaneously, the optimal path result is obtained using a genetic algorithm. This system can provide travelers with highly satisfying travel paths that only require the traveler to enter the degree of destination and time constraints.
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Tokyo Tourism Industry Promotion Action Program (2017). http://www.metro.tokyo.jp/tosei/hodohappyo/press/2016/05/documents/70q5u101.pdf
Japan Tourism Agency Ministry of Land, Infrastructure, Transport and Tourism. Revision of “Basic Plan for Promotion of Tourism Nation” (Established April 25, Heisei 29). http://www.mlit.go.jp/common/001182997.pdf
Nakajima, Y., Niitsuma, H., Ohta, M.: Travel route recommendation using tweets with location information. Res. Rep. Database Syst. (DBS) 158(28), 1–6 (2013)
González-Vélez, H.: Tourist Destination Recommendation System Based on User Facebook Profile National College of Ireland Project Submission Sheet – 2016/2017 School of Computing
Arts, M., Yoshihiro, M., Naoki, S., Minoru, I.: Algorithm for composing satisfactory tour schedules for fickle weather. Res. Rep. Math. Model. Probl. Solving (MPS) 75(3), 1–6 (2009)
Vansteenwegen, P., Souffriau, W., Berghe, G.V., Van Oudheusden, D.: The city trip planner an expert system for tourists. Expert Syst. Appl. 38(6), 6540–6546 (2011)
Chiang, H.-S., Huang, T.-C.: User-adapted travel planning system for personalized schedule recommendation. Inf. Fusion 21(1), 3–17 (2015)
Chen, Y., Minoru, U.: An optimal travel route recommendation system for tourists’ first visit to Japan. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds.) Advanced Information Networking and Applications, AINA 2019. Advances in Intelligent Systems and Computing, vol. 926, pp. 872–882. Springer, Cham (2020)
Basu, A., Vanajakshi, L.: Transportation Research Record, Transportation Research Board, National Research Council, Washington, D.C., 15 November
Mitchell, M.: An Introduction to Genetic Algorithms. MIT Press, Cambridge (1996). ISBN 9780585030944
Abbaspour, R.A., Samadzadegan, F.: Itinerary planning in multimodal urban transportation network. J. Appl. Sci. 9(10), 1812–5654 (2009)
Deng, Y., Hu, S.: Route optimization of multi-modal travel based on improved genetic algorithm. In: 2011 International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE) 16–18 December, Changchun, China (2011)
Sun, X., Wang, J., Wu, W., Liu, W.: Genetic algorithm for optimizing routing design and fleet allocation of freeway service overlapping patrol. Sustainability 10, 4120 (2018). https://doi.org/10.3390/su10114120
Johar, A., Jain, S.S., Garg, P.K.: Transit network design and scheduling using genetic algorithm – a review. Int. J. Optim. Control: Theor. Appl. 6(1), 9–22 (2016). © IJOCTA ISSN 2146-0957 eISSN 2146-5703. https://doi.org/10.11121/ijocta.01.2016.00258. http://www.ijocta.com
Dogan, S., Yilmaz, H.: A multi-objective route planning model based on genetic algorithm for cuboid surfaces, 06 August 2018
Baker, E.J.: Reducing bias and inefficiency in the selection algorithm. In: Proceedings of the Second International Conference on Genetic Algorithms, Cambridge, MA, USA, 28–31 July 1987, pp. 14–21 (1987)
Chipperfield, A., Fleming, P., Pohlheim, H., Fonseca, C.: Genetic Algorithm Toolbox for Use with MATLAB; Department of Automatic Control and System Engineering, University of Sheffield: Sheffield, UK (1994)
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We thank Maxine Garcia, PhD, from Edanz Group (www.edanzediting.com/ac) for editing a draft of this manuscript.
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Yuan, C., Uehara, M. (2020). An Optimal Route Recommendation Method for a Multi-purpose Travel Route Recommendation System. In: Barolli, L., Hellinckx, P., Enokido, T. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2019. Lecture Notes in Networks and Systems, vol 97. Springer, Cham. https://doi.org/10.1007/978-3-030-33506-9_35
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DOI: https://doi.org/10.1007/978-3-030-33506-9_35
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