Research On The Inversion Method Of The Source Item Of The Battlefield Chemical Hazard Based On Genetic Algorithm

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.