Advances in International Computer Science

UAV swarms have shown significant application value in emergency rescue operations for mountain geological disasters. The complex terrain in mountainous areas and the uncertainty of disaster environments make traditional rescue methods difficult to implement efficiently, thus making UAV swarms an important supplement. This paper focuses on the path planning problem of UAV swarms in mountain disaster scenarios and proposes an optimized path planning method based on intelligent algorithms. By establishing a terrain model and analyzing the disaster area environment, this method realizes real-time adjustment of flight paths, avoids obstacles, and improves the efficiency of task execution. In actual disaster scenarios, this paper evaluates the application effect of the algorithm and verifies its superiority in disaster area rescue. Compared with traditional path planning methods, the optimized algorithm shows significant improvements in task completion time, flight stability, and efficiency. The research results provide a theoretical basis and technical support for the effective application of UAV swarms in emergency rescue of mountain geological disasters.

UAV swarms; Mountain geological disasters; Emergency rescue; Path planning; Algorithm optimization