Weapon parameter identification algorithm based on genetic algorithm (GA)

In the full paper, we explain the above algorithm in some detail; in this abstract, we just add some pertinent remarks to listing the two topics of explanation. The first topic is: the parameter model. In this topic, we take the trajectory calculation model from Ref.10 by Lu et al to calculate the air resistance coefficient of a certain type of bomb. The second topic is: calculating the weapon parameter with GA. In this topic, we describe the 10 steps the GA uses to identify the parameter. During the 10 steps, we use the outer layer of GA and its embedded layer to calculate the boundary value of the Mach number and the polynomial coefficients of the parameter respectively. Finally, we simulate the calculation of the air resistance coefficient of a certain bomb with our algorithm. The analysis of the simulation results, shown in Fig.1 in the full paper, indicates preliminarily that the error of the bomb's range decreases remarkably with increasing number of generations and that the air resistance coefficient calculated with our algorithm is highly accurate.