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

DOI

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.

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  - 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  - Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SP  - 915
EP  - 919
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.177
DO  - 10.2991/iceeecs-16.2016.177
ID  - Gu2016/12
ER  -