PMO OpenIR  > PMO中文期刊
基于遗传算法的极短弧定轨
李鑫冉; 王歆
2016
Source Publication天文学报
Issue1Pages:66-77
Abstract空间目标的巡天观测获取了海量的极短弧观测数据,而经典初轨计算方法对于极短弧几乎不能获得合理的结果.将初轨计算问题转换为两个三变量的分层优化问题,采用遗传算法,针对具体问题选择了优化变量以及相应的遗传操作,建立了一种极短弧初轨计算方法.基于实测资料的数值实验表明,方法可为后续工作提供有效的初值.
Keyword航天器 天体力学 方法:数值
Language中文
Document Type期刊论文
Identifierhttp://libir.pmo.ac.cn/handle/332002/16903
CollectionPMO中文期刊
Recommended Citation
GB/T 7714
李鑫冉,王歆. 基于遗传算法的极短弧定轨[J]. 天文学报,2016(1):66-77.
APA 李鑫冉,&王歆.(2016).基于遗传算法的极短弧定轨.天文学报(1),66-77.
MLA 李鑫冉,et al."基于遗传算法的极短弧定轨".天文学报 .1(2016):66-77.
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