Title :
Parallelization for space trajectory optimization
Author :
Schlueter, Martin ; Munetomo, Masaharu
Author_Institution :
Inst. of Space & Astronaut. Sci., Japan Aerosp. Exploration Agency, Sagamihara, Japan
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;
Conference_Titel :
Evolutionary Computation (CEC), 2014 IEEE Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-6626-4
DOI :
10.1109/CEC.2014.6900356
