Hybrid Particle Swarm Optimization for UAV Path Planning: A Novel Approach

This paper presents a novel hybrid particle swarm optimization algorithm designed for efficient path planning of unmanned aerial vehicles (UAVs). The algorithm combines the strengths of traditional particle swarm optimization with innovative techniques to optimize flight paths, ensuring safety, efficiency, and adherence to constraints.

@article{liu2019novel, title={A Novel Hybrid Particle Swarm Optimization Algorithm for Path Planning of UAVs}, author={Liu, Xiaoyan and Wang, Xiaozhe and Wang, Yuting and Chen, Wei and Ma, Xi}, journal={Sensors}, volume={19}, number={9}, pages={2053}, year={2019}, publisher={Multidisciplinary Digital Publishing Institute} }