Parallelization for Space Trajectory Optimization

被引：0
|
作者：
Schlueter, Martin [1 ]
Munetomo, Masaharu [2 ]
机构：
[1] Japan Aerosp Explorat Agcy, Inst Space & Astronaut Sci, Sagamihara, Kanagawa 2525210, Japan
[2] Hokkaido Univ Sapporo, Informat Initiat Ctr, Sapporo, Hokkaido 0600811, Japan
来源：
2014 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) | 2014年
关键词：
Space Trajectory; Cassini Mission; MIDACO; Parallelization; openMP; MIDACO;
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：
The impact of parallelization on the optimization process of space mission trajectories is investigated in this contribution. As space mission trajectory reference model, the well known Cassini1 benchmark, published by the European Space Agency (ESA), is considered and solved here with the MIDACO optimization software. It can be shown that significant speed ups can be gained by applying parallelization.
引用
收藏
页码：832 / 839
页数：8
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