Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)

Research on the Inversion Method of the Source Item of the Battlefield Chemical Hazard Based on Genetic Algorithm

Authors
Jin Gu, Xuezheng Zhu, Shunhua Liu, Xiaobin Liu
Corresponding Author
Jin Gu
Available Online December 2016.
DOI
https://doi.org/10.2991/iceeecs-16.2016.177How to use a DOI?
Keywords
chemical hazard; source item; inversion; genetic algorithm
Abstract
Adopting the genetic algorithm, this paper studies the method of source term inversion through the data from chemical monitoring devices distributed in battlefield when we can not accurately judge the hazard source item data after the occurrence of chemical hazards in battlefield. Based on the data generated by Gauss diffusion model, the author verifies the inversion algorithm through the simulation data. The results show that the inversion algorithm can accurately estimate the source item information, which is important for the commanders to grasp and predict the diffusion trend of chemical hazards.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
Part of series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-265-7
ISSN
2352-538X
DOI
https://doi.org/10.2991/iceeecs-16.2016.177How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jin Gu
AU  - Xuezheng Zhu
AU  - Shunhua Liu
AU  - Xiaobin Liu
PY  - 2016/12
DA  - 2016/12
TI  - Research on the Inversion Method of the Source Item of the Battlefield Chemical Hazard Based on Genetic Algorithm
BT  - 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.177
DO  - https://doi.org/10.2991/iceeecs-16.2016.177
ID  - Gu2016/12
ER  -