UAVs flight path optimization based on intelligent bionic optimization algorithm
Siyan Zhu · 2025
With the rapid development and integration of the field of UAVs and artificial intelligence, it is necessary to carry out follow-up research for the research on the intelligent flight path of UAVs. In this paper, firstly, a particle swarm optimization (PSO) model was established to study the flight trajectory of the UAV. Secondly, the genetic algorithm (GA) model was established, and the GA model was integrated with the UAV flight trajectory model, and then the overall solution calculation was carried out. Finally, the MATLAB simulation platform was used to simulate the UAV flight trajectory under the two algorithms, and through the solution calculation of the UAV flight path under the two algorithms, the path under the PSO can be obtained to be 161.7343, and the path under the GA can be 217.7843.