Optimization of Chinese Tourist Routes Based on Greedy Algorithm and Multiobjective Planning

With the opening up of China's tourism policy and the enhancement of the Internet communication effect, the demand of foreign tourists to visit China has been increasing, and how to visit multiple attractions efficiently within a limited time has become an urgent problem to be solved. In this study, the data of GoTravelStation.com are used to determine the weights of city attraction evaluation indexes by hierarchical analysis method, and the multi-attribute decision analysis model is used to conduct a comprehensive evaluation. The optimization model of tourism routes combining greedy algorithm and multi-objective planning is constructed, and the study provides a reference for the solution to the problem of tourism route planning.