The Journal of Commercial Biotechnology

Ling Li
College of Cultural Tourism，Jiangsu Vocational Institute of Commerce，Nanjing，Jiangsu，China，210000

Abstract:

Path planning, a prominent topic in motion control research, necessitates the control object to independently determine the path, avoid obstacles, and reach the goal. Tourism has evolved into a tourism industry, and tourism has been classified into numerous categories. Based on the number of tourists, the first type is divided into luxury or high-end tourism and popular or mass tourism. In addition, based on the geography aspect, the other form of tourism is classified as international or local. Many sorts of tourism contribute to tourism's rapid growth. The ant colony algorithm is a path-finding algorithm based on the behavior of ants in their search for food. Initially, the ants roam aimlessly. When an ant discovers a food supply, it returns to the colony, leaving "markers" (pheromones) that indicate the path has food. When other ants come across the markings, they are more likely than not to follow the path. We can say that this article examines the fundamental ideas of tourism planning, geographic information systems, and databases, as well as the technical components of creating a tourism planning database. It also covers overlay analysis, buffer analysis, and the Method for Establishing Network Analysis, which are all common spatial mathematical models used in tourism planning. Simultaneously, the idea of creating a TPIS platform is floated, and the system's broad structure and primary roles are sketched out. The TPIS's visualization function is then applied to the source market analysis, and the network model appropriateness model is presented. Mathematical modeling and parameter setup are carried out based on the present economic background and the idea of the ant colony algorithm. Mathematical modeling and parameter setup are carried out based on the present economic background and the idea of the ant colony algorithm.

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