@inproceedings{289ee25137134fc28a04ae4e57090d95,
title = "On-Orbit Servicing Mission Planning Based on Greedy Strategy Genetic Algorithm",
abstract = "A greedy strategy genetic algorithm (GS-GA) based mission planning method is designed for two types of on-orbit service missions: on-orbit fuel refueling and space debris removal. Firstly, the hybrid optimal control (HOC) model of on-orbit service mission planning is established, the discrete state space and continuous dynamic system are designed. And the optimization objectives are analyzed to construct the HOC mathematical description. Secondly, for the combinatorial optimization problem, GS-GA is proposed, which makes the solution space closer to the optimal solution and improves the accuracy of the algorithm. Finally, practical simulation scenarios are given to verify the algorithm{\textquoteright}s feasibility and accuracy.",
keywords = "Genetic Algorithm, Greedy Strategy, Mission Planning, On-orbit Servicing",
author = "Yabo Hao and Wenbo Dai and Shenggang Liu and Ming Xu and Xue Bai",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; International Conference on Guidance, Navigation and Control, ICGNC 2024 ; Conference date: 09-08-2024 Through 11-08-2024",
year = "2025",
doi = "10.1007/978-981-96-2248-1\_13",
language = "英语",
isbn = "9789819622474",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "128--138",
editor = "Liang Yan and Haibin Duan and Yimin Deng",
booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2024 International Conference on Guidance, Navigation and Control Volume 13",
address = "德国",
}