Abstract
With the rapid development of China’s national economy and the substantial improvement of people’s living standards, more and more people will choose tourism, which is beneficial to their physical and mental health, and actively participate in it, enjoying the psychological and physical relaxation brought by a pleasant trip. However, China has a large population, inconvenient transportation, limited travel time for office workers, and the phenomenon that people are tired when they don’t visit all the scenic spots according to the plan often occurs. To a certain extent, people’s psychology and body can’t be relaxed. As a result, people’s enthusiasm for outbound tourism is obviously not high, so the development of domestic tourism is relatively backward. At present, in order to achieve rapid development of domestic tourism, it is urgent to study the planning and design of tourism routes.
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Acknowledgements
(1) Transverse Project: Study on the Individual Spell Group Model of Travel Agency.
(2) Inner Mongolia Autonomous Region Project of the 13th five year plan of Education Science in 2019: Research on the Construction of Teaching Quality Evaluation System of School-Enterprise Collaborative Education Based on Model SERVQUAL [NGJGH2019003].
(3) Transverse Project: Study on the Optimization of Travel Agency Salary System.
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Yu, H., Wang, J., Jiang, Y. (2021). Ant Colony Algorithm in Tourism Route Planning. In: Abawajy, J., Xu, Z., Atiquzzaman, M., Zhang, X. (eds) 2021 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 81. Springer, Cham. https://doi.org/10.1007/978-3-030-79197-1_29
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DOI: https://doi.org/10.1007/978-3-030-79197-1_29
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