Study of global parameters optimization of large caliber sniper rifle based on genetic algorithm

Large caliber sniper must satisfy several design requirements such as firing accuracy, reliability, weight limit and so on. How to get optimized structure parameters of large caliber sniper is a key target of designers. Global parameters optimization of large caliber sniper rifle based on genetic algorithm was studied in this paper. Firing accuracy was chosen as object function of global parameters optimization. Simulation model of firing accuracy was established firstly. Neural network method was used to fit object function. Genetic algorithm was used to search optimized structure parameters of whole rifle. A group of optimized structure parameters were got finally. The large caliber sniper rifle with these parameters has balanced performance according test. The study of this paper can offer a method for choosing better structure parameters of large caliber sniper rifle. Also the study can improve design efficiency.