DocumentCode
238846
Title
Parallelization for space trajectory optimization
Author
Schlueter, Martin ; Munetomo, Masaharu
Author_Institution
Inst. of Space & Astronaut. Sci., Japan Aerosp. Exploration Agency, Sagamihara, Japan
fYear
2014
fDate
6-11 July 2014
Firstpage
832
Lastpage
839
Abstract
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.
Keywords
aerospace computing; ant colony optimisation; parallel processing; trajectory optimisation (aerospace); Cassini1 benchmark; ESA; European Space Agency; MIDACO optimization software; ant colony optimization; parallelization; space mission trajectory reference model; space trajectory optimization; Benchmark testing; Databases; Educational institutions; Optimization; Software; Space missions; Trajectory; Cassini Mission; MIDACO; Par-allelization; Space Trajectory; openMP;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2014 IEEE Congress on
Conference_Location
Beijing
Print_ISBN
978-1-4799-6626-4
Type
conf
DOI
10.1109/CEC.2014.6900356
Filename
6900356
Link To Document