NSSC OpenIR  > 运控部/科学卫星综合运控中心
基于改进遗传算法对小卫星星群任务规划研究
Alternative TitleMission Planning for Small Satellite Constellations Based on Improved Genetic Algorithm
韩传奇; 刘玉荣; 李虎
Department运控部/科学卫星综合运控中心
Source Publication空间科学学报
2019
Volume39Issue:1Pages:129-134
ISSN0254-6124
Language中文
Keyword任务规划 小卫星星群 改进遗传算法
Abstract针对小卫星星群任务运行特点,建立小卫星星群多任务规划问题模型,提出了基于成像任务时间及任务均衡度的多指标优化函数.针对所建模型,采用改进型遗传算法,引入资源随机分配的解码策略及精英保留策略,保证了算法的全局收敛性,提高了算法的性能.通过仿真算例,验证了算法在解决小卫星星群多目标任务规划问题上的有效性.
Other AbstractBased on operational features of small satellite constellation, a multi-task mission planning problem model for small satellite constellation is established, and a multi-index optimization function based on imaging task period and equilibration is proposed. Furthermore, an improved genetic algorithm involving strategies of random allocation of resources as well as elite population reservation is applied to the established model. The algorithm improves the efficiency of related solution and guarantees the convergence of the final result. The simulation result shows that the improved genetic algorithm is applicable and effective to the specific needs of mission planning problem for small satellite constellation.
Indexed ByCSCD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/6998
Collection运控部/科学卫星综合运控中心
Recommended Citation
GB/T 7714
韩传奇,刘玉荣,李虎. 基于改进遗传算法对小卫星星群任务规划研究[J]. 空间科学学报,2019,39(1):129-134.
APA 韩传奇,刘玉荣,&李虎.(2019).基于改进遗传算法对小卫星星群任务规划研究.空间科学学报,39(1),129-134.
MLA 韩传奇,et al."基于改进遗传算法对小卫星星群任务规划研究".空间科学学报 39.1(2019):129-134.
Files in This Item:
File Name/Size DocType Version Access License
2019391129-134.pdf(961KB)期刊论文出版稿开放获取CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[韩传奇]'s Articles
[刘玉荣]'s Articles
[李虎]'s Articles
Baidu academic
Similar articles in Baidu academic
[韩传奇]'s Articles
[刘玉荣]'s Articles
[李虎]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[韩传奇]'s Articles
[刘玉荣]'s Articles
[李虎]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.