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
- 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/).
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 - 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 -