Construction of Tourism Management Information System Based on Genetic Algorithm

Abstract

In recent years, with the improvement of people's living standards, more and more people travel. How to better manage scenic spot information has become the focus of tourism information management departments. Tourism information management department is the manager and supervisor of tourism information, which bears great work pressure. How to help scenic spot managers grasp the scenic spot information in time, provide information timely and effectively, provide real-time information of scenic spots, and make guiding decisions for scenic spots, which puts forward urgent requirements for the information management of tourism information. With the development of tourism information system, enterprises urgently need to use a new way of "static and customized tourism information system" to meet the needs of tourism market. Based on this demand, the distributed tourism management information system is designed and implemented. The development and use of tourism information management system can provide higher quality services with the help of the advantages of information technology. This paper proposes an improved genetic algorithm to solve the traveling salesman problem. Taking the information of tourist attractions as an example, combined with the multi-objective constraints such as parade time, play cost and scenic spot heat, the mathematical model of travel planning is established to obtain the optimal route planning to meet the needs of tourists. Finally, based on the improved genetic algorithm, the architecture of travel planning module is designed, and the spring boot framework is used to complete the design and implementation of Pengyang County Rural Tourism information service platform, so as to improve the intelligent service of tourism.