Three-dimensional path planning of UAV based on improved dung beetle algorithm
Congjian Liu, Jinxin Bian, Xiaojun Zheng, Siyang Li · 2024
The environmental characteristics of mountainous ravines and complex terrain lead to the problems of slow speed and poor quality of UAV path planning. An improved dung beetle algorithm is proposed. In the traditional dung beetle algorithm, the Logistic chaotic map is called, the global survey strategy of the Osprey algorithm is fused, and the adaptive t-distribution perturbation strategy is introduced. The three-dimensional path planning space is established by the rasterization method. The proposed improved algorithm is compared on six classical benchmark functions, and the superiority of the improved DBO algorithm is fully verified. It is applied to the simulation experiment of mountain path planning, and the effectiveness of the improved dung beetle algorithm is verified.