Research on the design and evaluation of urban tour paths in China based on multi-algorithm optimization

The traveling Salesman problem is in an extremely important position in the field of path planning and is of great research significance. This paper studies the optimization of urban tour routes in China's tourism industry, and designs the optimal tour route to enhance the experience of tourists according to different tourism needs. At the same time, genetic algorithm is creatively introduced to solve complex path optimization problems, which proves the effectiveness of introducing biological heuristic algorithm into complex tourism path planning. Therefore, the research content of this paper has a certain reference for the solution in the field of path planning.