Three-Dimensional Path Planning Based on RIME Algorithm
Guangjie Zha, Jianchao Xi, Pengda Li, Ji Ma · Advances in transdisciplinary engineering · 2025
Efficient path planning in three-dimensional (3D) environments is crucial for ensuring both the safety and navigation efficiency of unmanned aerial vehicles (UAVs). In this paper, we use RIME (Rime optimization algorithm), a recently developed metaheuristic optimization algorithm specifically designed to tackle complex optimization challenges. RIME focuses on optimizing key factors such as path length, height variation, and trajectory smoothness, while strictly adhering to obstacle avoidance constraints, thus demonstrating strong overall performance. As a new algorithm, RIME offers distinct advantages in balancing exploration and exploitation, allowing for the discovery of more optimal solutions in intricate search spaces. To evaluate its effectiveness, we tested RIME in a UAV path planning scenario and compared its performance with several established algorithms, including Grey Wolf Optimization (GWO), Harris Hawks Optimization (HHO), and the Sine Cosine Algorithm (SCA). The experimental results show that RIME excels in minimizing path length and effectively navigating obstacles, significantly outperforming the other algorithms and highlighting its broad applicability to a wide range of complex optimization tasks.