Genetic Algorithm, figuring out the optimal solution problem of active removal of space debris

DOI

10.2991/wartia-16.2016.117How to use a DOI?

Keywords

space debris, active removal, Genetic Algorithm, long-term model

Abstract

Space junk, one of the man-made pollution, is destroying the satellite's safety, ultimately making low earth orbit (LEO) unusable. Many countries, such as Japan and U.S., have been proposed many different methods for remediation of the orbital debris environment over the years, including the use of lasers, electro-dynamic or momentum exchange tethers, tugs, and other, more exotic methods. Firstly, this paper picks out five removal methods with the highest feasibility and reliability. These five methods have the ability to clean space junk in different heights near-earth orbit, and in a few years these will become the mainstream methods to make the space cleaning.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Nan Wang
PY  - 2016/05
DA  - 2016/05
TI  - Genetic Algorithm, figuring out the optimal solution problem of active removal of space debris
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 573
EP  - 576
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.117
DO  - 10.2991/wartia-16.2016.117
ID  - Wang2016/05
ER  -