UAV Path Planning and Design Based On Improved ant Colony Algorithm
Wenliang Peng, Lili Wang, Guiping Lu · 2024
With the development of science and technology and the progress of society, drones have shown great potential in various fields. Uav path planning is the core of UAV cooperative control. Effective path planning can ensure that the UAV can complete the task safely and efficiently, and avoid obstacles and other potential dangers. Aiming at the shortcomings of the classical ant colony algorithm in UAV flight path planning, this paper proposes to use the improved ant colony algorithm to solve the problems of long search time and slow convergence speed of the traditional ant colony algorithm to some extent.