UAV Flight Path Planning Based on Multi-strategy Improved White Sharks Optimization

Due to the development of its own technology, Unmanned Aerial Vehicle (UAV) play an increasingly important role in today’s social production practice. The complex and changeable environment requires innovative UAV path planning algorithms. In order meet requirements flight environment, a new algorithm based on version White Sharks Optimization (WSO) is proposed this research. Firstly, terrain matrix used establish three-dimensional constraint function, then WSO improved for handling planning. process planning, multi-trajectory search, nonlinear convergence factor model fish movement behavior are adopted enrich population diversity, excavate search space, speed up reduce likelihood falling into local optima. Based simulation results, it can be observed that outperforms terms optimization accuracy, speed, robustness, leading outcomes