Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications

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

Authors
Nan Wang
Corresponding Author
Nan Wang
Available Online May 2016.
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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Volume Title
Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
Series
Advances in Engineering Research
Publication Date
May 2016
ISBN
978-94-6252-195-7
ISSN
2352-5401
DOI
10.2991/wartia-16.2016.117How to use a DOI?
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/).

Cite this article

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  -