@inproceedings{73624913aa994f59b31fec3af9bd903c,
title = "A hybrid layout optimization method based on genetic and differential evolution for Flat-panel (FP) microsatellite",
abstract = "Flat-panel (FP) satellites are a novel type of microsatellite configuration, and a hybrid algorithmic layout optimization method is studied in this paper to solve the problem of its large moment of inertia. The method is implemented by two-level algorithms of genetic and differential evolution, in which the genetic algorithm is used to realize the optimal allocation of components within different satellite modules to ensure the mass balance between satellite modules; the differential evolution algorithm further plans the positions of components within the modules and enables the satellite to obtain the optimal moment of inertia and layout scheme. Finally, the effectiveness of the proposed method is verified by the case of layout optimization of remote sensing satellites.",
keywords = "differential evolution algorithm, Genetic algorithm, layout optimization, Microsatellite, moment of inertia",
author = "Hao Zhang and Jun Zhou and Guanghui Liu and Jianguo Guo and Zhenxin Feng",
note = "Publisher Copyright: {\textcopyright} 2024 Technical Committee on Control Theory, Chinese Association of Automation.; 43rd Chinese Control Conference, CCC 2024 ; Conference date: 28-07-2024 Through 31-07-2024",
year = "2024",
doi = "10.23919/CCC63176.2024.10661559",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "2052--2057",
editor = "Jing Na and Jian Sun",
booktitle = "Proceedings of the 43rd Chinese Control Conference, CCC 2024",
}