Xiaohui Zhu, Jihong Fu, and  Yujie Fu. Tourism route selection and evaluation of Yunnan Province Based on multi-objective planning. Dynamic Systems and Applications 29 (2020) No. 4, 1349 – 1362

https://doi.org/10.46719/dsa202029425

ABSTRACT.
With the deepening of reform and opening up, tourism, as the third industry of China’s economy, is showing a vigorous development trend and has an excellent development prospect. In the process of selecting and evaluating tourism routes in Yunnan Province Based on multi-objective planning, the scale distribution model of tourism routes in Yunnan Province can reflect the economic characteristics and planning basis. Compared with the first and second industry economy, it plays the internal leading advantage of the third industry. In this paper, a new GA algorithm based on multi-objective programming is proposed, which is to establish the genetic algorithm model. Taking the static and dynamic planning of tourism in Yunnan Province as the starting point, combined with the local example, it is pointed out that the model route and specific planning location under GA algorithm need to achieve the optimal design, so as to get the maximum effect parameters. The experimental results show that Yunnan Province proposed in this paper is only one of the key objects in the study of tourism routes. Whether it is a well-developed province or a starting Town, the algorithm plays an important role in the combination prediction effect and the actual application optimization ratio. This paper makes a comprehensive discussion on the route selection, the best route evaluation and the mass tourism perspective of Yunnan’s tourism industry, and extracts the essence of the existing tourist routes. The analysis of the results from the research model and data parameters not only provides a new direction for the research, but also has far-reaching research significance.

Keywords: tertiary industry; multiple objectives; tourism routes; GA algorithm