UAV Path Planning Based on Improved Dragonfly Algorithm
Yanjun Hou, Chen-Qi Ke, Siying Chen, Daoming Tang, Chenlin Wu · 2024
With the advancements in information technology, the adoption of UAV (unmanned aerial vehicle) in other fields to perform tasks in place of manual labor is gradually increasing. For UAV in complex environments and threat areas and other external factors, there is the problem of trajectory planning that is not easy. In this paper, we propose an efficient trajectory scheme using an improved dragonfly algorithm to propose an effective trajectory in a specified area. First, the formula of iner-tia weights and field radius is redefined, and the concept of con-gested area is introduced to improve the shortcomings of easily falling into local optimal solutions and converging too fast. With the experimental results presented for 20 evaluation functions, there is a superior performance compared to other swarm intelligence algorithms. Finally, a smoother and more efficient trajectory planning path can be obtained in designated areas with complex environments and threat areas.