Multi-UAV Path Planning for Multi-Region Coverage by Multi-Objective Genetic Method
Shen Liu, Xiuxian Li, Jinwen Hu · 2024
Unmanned aerial vehicle (UAV) is important in performing water search and rescue (SAR) tasks for drowning personnel. During the search process, a group of UAVs need to cover all task areas completely while considering energy limitations. In this paper, we propose a coverage path planning (CPP) algorithm based on improved multi-objective genetic algorithm for multiple UAVs to cover multiple discrete small areas. Finally, the effectiveness of the algorithm is verified through simulation experiments.