APPLICATION OF IMPROVED MULTI-OBJECTIVE EVOLUTIONARY ALGORITHM IN INTELLIGENT TOURISM INTEREST POINT RECOMMENDATION AND ITINERARY PLANNING

Jinling Du

References

  1. [1] Z. Anda, M. Iveta, K. Inta, V. Aija, and M. Ruta,Smart tourism: the role and synergies of stakeholders,Worldwide Hospitality and Tourism Themes, 15(5), 2023,476–485.
  2. [2] I. Sustacha, J.F. Banos-Pino, and E. Del Valle, Therole of technology in enhancing the tourism experience insmart destinations: A meta-analysis, Journal of DestinationMarketing & Management, 30, 2023, 100817.
  3. [3] S. Liu and H. Wu, Analysis of the application of pathfinding system based on efficiency improvement in smarttourism, Intelligent Systems With Applications, 20, 2023,200–265.
  4. [4] P. Jiao, Exploration on the application of artificial intelligencetechnology in the construction of smart tourism system,Computer Informatization and Mechanical System, 6(5), 2023,79–82.
  5. [5] H. Huimin and L. Chunhong, Smart tourism productsand services design based on user experience under thebackground of big data, Soft Computing, 27(17), 2023,12711–12724.
  6. [6] X. Ruoran, Framework for building smart tourism big datamining model for sustainable development, Sustainability,15(6), 2023, 5162.
  7. [7] A. Alexander, Z. Antonio, G. Diego, and L.S. Jos´e Antonio,Smart tourism destinations really make sustainable cities:Benidorm as a case study, International Journal of TourismCities, 9(1), 2023, 51–69.
  8. [8] A. Kumar, Reinforcement learning: Application and advancestowards stable control strategies, Mechatronic Systems andControl, 201, 2023, 53–57.
  9. [9] M. Wang and J. Wang, Uncertainty models in the integrationpath of rural tourism information construction and smarttourism based on big data technology, Optik, 272, 2023,170320.
  10. [10] A.P. Pricope Vancia, C.A. B˘altescu, G. Br˘atucu, A.S. Tec˘au,I.B. Chit¸u, and L. Dugulean˘a, Examining the disruptivepotential of generation Z tourists on the travel industry in thedigital age, Sustainability, 15(11), 2023, 8756.
  11. [11] I. Tussyadiah and G. Miller, Imagining the future of travel:Technology and sustainability transitions, E-Review of TourismResearch, 17(5), 2020.
  12. [12] L. Liu, Research progress about deep reinforcementlearning, Mechatronic Systems and Control, 201, 2023,210–217.
  13. [13] Y. Tu, Y. Zhao, L. Liu, and L. Nie, Travel route planningof core scenic spots based on best-worst method and geneticalgorithm: A case study, Management System Engineering,1(1), 2022, 4.
  14. [14] Y. Limin, Improved on-demand travel route planningmodel with interest fields, Computational Intelligence andNeuroscience, 2022, 2022, 6442441–6442441.
  15. [15] S. Yang-Yang, Y. Jun-Ping, L. Xiao-Jun, F. Shou-Xiang, andW. Zi-Wei, Optimizing the multi-objective discrete particleswarm optimization algorithm by deep deterministic policygradient algorithm, Journal on Artificial Intelligence, 4(1),2022, 27–35.
  16. [16] Y. Lu, A multi-objective optimisation algorithm for ruraltourism route recommendation, International Journal ofInformation and Communication Technology, 21(2), 2022,197–212.
  17. [17] Q. Tan, Research on sustainable carrying capacity ofurban tourism environment based on multi objective opti-mization algorithm, Results in Engineering, 19, 2023,101344.
  18. [18] S. Haodong, C. Yanyan, M. Jianming, W. Jang, L.Xiaoming, and W. Jiachen, Multi-objective optimal travelroute recommendation for tourists by improved ant colonyoptimization algorithm, Journal of Advanced Transportation,2022, 2022, 6386119.
  19. [19] H. Zhao and C. Zhang, An ant colony optimization algorithmwith evolutionary experience-guided pheromone updatingstrategies for multi-objective optimization, Expert SystemsWith Applications, 201, 2022, 117151.
  20. [20] W. Xia, Z. Feng, T. Jia, S. Lizhen, and L. Danli, Applications,experiences, and challenges of smart tourism developmentin China, Journal of Urban Technology, 29(4), 2022,101–126.
  21. [21] H. Li, Study on the development model of rural smarttourism based on the background of Internet of Things,Wireless Communications and Mobile Computing, 2022, 2022,9688023.
  22. [22] V. Ndou and G. Mele, Social big data for sustainable smarttourism development: a conceptual framework, InternationalJournal of Digital Culture and Electronic Tourism, 3(3–4),2021, 217–233.
  23. [23] A. Wang, Research on the development of Jinan smart tourismin the age of big data, Journal of Physics: Conference Series,1302(2), 2019, 022011.
  24. [24] M. Versaci, G. Angiulli, P. Crucitti, D. De Carlo, F. Lagan`a, D.Pellican`o, and A. Palumbo, A fuzzy similarity-based approachto classify numerically simulated and experimentally detectedcarbon fiber-reinforced polymer plate defects, Sensors, 22(11),2022, 4232.
  25. [25] K. Xiaoqian and A. Shuqin, Research on the development ofsmart tourism in Jiangxi province under the background of the“Internet +”, Economic and Social Changes: Facts, Trends,Forecast, 4(46), 2016, 199–205.
  26. [26] Z. Wang, J. Zeng, J. Wen, M. Gao, and W. Zhou, Point-of-interest recommendation using deep semantic model, ExpertSystems With Applications, 231, 2023, 120727.
  27. [27] X. Zhiyun, H. Zhaoyan, Z. Xiaoyao, Z. Haiyan, and L.Yonglong, A matrix factorization recommendation model fortourism points of interest based on interest shift and differentialprivacy, Journal of Intelligent Fuzzy Systems, 44(1), 2023,713–727.
  28. [28] Y. Hao and N. Song, Dynamic modeling and analysis ofmultidimensional hybrid recommendation algorithm in tourismitinerary planning under the background of big data, DiscreteDynamics in Nature and Society, 2021, 2021, 1–11.7
  29. [29] P. Chen, Design of travel itinerary planning system based onartificial intelligence, Journal of Physics: Conference Series,1533(3), 2020, 032078.
  30. [30] F. Persia, G. Pilato, M. Ge, P. Bolzoni, D. D’Auria, andS. Helmer, Improving orienteering-based tourist trip planningwith social sensing, Future Generation Computer Systems,110, 2020, 931–945.

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