@inproceedings{f8345d19a0e345498167b22270a27945,
title = "Multi-UAV Path Planning for Multi-Region Coverage by Multi-Objective Genetic Method",
abstract = "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.",
keywords = "component - UAV, coverage path planning, genetic algorithm",
author = "Shen Liu and Xiuxian Li and Jinwen Hu",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 6th International Conference on Electronic Engineering and Informatics, EEI 2024 ; Conference date: 28-06-2024 Through 30-06-2024",
year = "2024",
doi = "10.1109/EEI63073.2024.10696389",
language = "英语",
series = "2024 6th International Conference on Electronic Engineering and Informatics, EEI 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1357--1362",
booktitle = "2024 6th International Conference on Electronic Engineering and Informatics, EEI 2024",
}