Research on the Design of Flight Paths for Mountain Patrol Drones Based on Bionic Optimization Algorithms
Ke Tang, Hao Ying, Qiurui Li · 2025
With the rapid development of drone applications in mountain patrol, there is an increasing demand for intelligent flight capabilities of drones. This paper first established a Wolf Pack Optimization Algorithm (WPA) model and applied it to the design of flight paths for mountain patrol drones. Secondly, an Ant Colony Algorithm (ACA) model was constructed and utilized to determine the optimal flight path for the drones. Finally, the MATLAB simulation platform was employed to simulate and solve the flight paths under both algorithms. The computational results demonstrate that both optimization algorithm models were capable of determining the shortest flight paths for the drones. The simulation results validate the feasibility and effectiveness of these two intelligent bionic optimization algorithms, providing a solid foundation for subsequent system design and tuning.