## 留言板

 引用本文: 贺泉, 韩潮. 基于蚁群算法的多任务导航星座载荷配置[J]. 北京航空航天大学学报, 2007, 33(10): 1154-1157.
He Quan, Han Chao. Payload configuration for multi-mission navigation constellation based on ant colony algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(10): 1154-1157. (in Chinese)
 Citation: He Quan, Han Chao. Payload configuration for multi-mission navigation constellation based on ant colony algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(10): 1154-1157. (in Chinese)

## 基于蚁群算法的多任务导航星座载荷配置

• 中图分类号: V 412.41

## Payload configuration for multi-mission navigation constellation based on ant colony algorithm

• 摘要: 给出了多任务导航星座载荷配置的一套新算法.首先建立了多任务导航星座载荷配置的优化模型;基于任务要求定义并提出了n＋1重覆盖率来评价星座对地面的覆盖性能;蚁群算法(ACA)是一种新型的模拟蚂蚁觅食行为的仿生启发式算法,将蚁群算法运用到载荷配置的优化当中,修正了启发函数及Ant-Cycle模型使它们能够与星座载荷配置的优化相结合;给出了基于该算法的多任务载荷配置优化框图.仿真结果表明蚁群算法快速有效,优化结果满足任务要求.

•  [1] 徐嘉. 多任务导航星座的使命分析和设计优化方法 . 北京:北京航空航天大学宇航学院,2006 Xu Jia. Method of mission analysis and design optimization for multi-mission navigation constellation . Beijing: School of Astronautics, Beijing University of Aeronautics and Astronautics, 2006(in Chinese) [2] 段海滨. 蚁群算法原理及其应用[M]. 北京:科学出版社,2005 Duan Haibing. Ant colony algorithm theory and applications[M]. Beijing: Science Press, 2005(in Chinese) [3] 韩潮,邓丽,徐嘉. 一种改经的区域覆盖星座优化设计方法[J]. 上海航天,2005(1):11-14 Han Chao, Deng Li, Xu Jia. Improved method of optimal regional coverage constellation[J]. Aerospace Shanghai, 2005(1):11-14(in Chinese) [4] de A Silva R M, Ramalho G L. Ant system for the set covering problem Proceedings of the 2001 IEEE International Conference on Systems, Man, and Cybernetics. Tucson, AZ, USA: , 2001, 5:3129-3133 [5] Frayssinhes E, Lansaed E. Optimization of small satellite constellations in low earth orbit Small Satellites System and Services. Biarritz: CEPADUES ed, 1994 [6] 肖业伦. 航天器飞行动力学原理[M]. 北京:北京航空航天大学出版社,1995 Xiao Yelun. Theory of spacecraft astrodynamics[M]. Beijing: Beijing University of Aeronautics and Astronautics Press, 1995(in Chinese)

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##### 出版历程
• 收稿日期:  2006-11-01
• 刊出日期:  2007-10-31

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