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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Discrete Mathematical Sciences and Cryptography
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
