Abstract
The traditional route planning algorithm has some problems, such as the ambiguity of objective function and the poor convergence, etc. Therefore, a tourism route optimization planning algorithm based on GIS for forest wetland is proposed. The genetic particle swarm optimization algorithm is designed, and then the GIS model is solved by the algorithm to improve the convergence performance of the traditional algorithm. Finally, the simulation experiments are done by parameter setting and environment simulation. The experimental results show that the algorithm has better convergence performance, higher degree of customer satisfaction and good optimization performance. It can be applied to the optimal tourism route planning of forest wetland.