Parallelization for space trajectory optimization

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jul 2014Publisher:IEEEJournal:2014 IEEE Congress on Evolutionary Computation (CEC)

Authors: Martin Schlueter; Masaharu Munetomo;

doi: 10.1109/cec.2014.6900356

Parallelization for space trajectory optimization

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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.

Related Organizations

Hokkaido Bunkyo University
Japan
Hokkaido University
Japan
Institute of Space and Astronautical Science
Japan
Japan Aerospace Exploration Agency
Japan

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