Optimization of LEO Regional Coverage Satellite Constellation Via IBEA Algorithm

被引：0
|
作者：
Dai, Guangming [1 ]
Zhan, Jingcheng [1 ]
Cheng, Chen [1 ]
机构：
[1] China Univ Geosci, Sch Comp, Wuhan 430074, Peoples R China
来源：
PROGRESS IN INTELLIGENCE COMPUTATION AND APPLICATIONS | 2008年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Indicator based evolutionary algorithm (IBEA) is a very state-of-the-art and excellent multi-objective optimism algorithm. IBEA has outstanding performance for convergence. In this thesis, we try to optimize LEO regional coverage satellite constellation by IBEA. Simulations on concrete model of LEO regional coverage satellite constellation are presented. The results of the simulation realized by STK show that IBEA is effective for the optimization of regional coverage satellite constellation and we can obtain the constellation with perfect performance by IBEA with a smaller population and less number of generations under the given conditions.
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收藏
页码：22 / 25
页数：4
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