Research on Numerical Calculation Methods for Modeling Multi-Target Detection and Firepower Allocation for Multiple Missile Types against Composite Targets

Abstract This research focuses on the problem of multi-target detection and multi-bomb compound target fire distribution in the key field of military operations, and explores the solution based on numerical calculation method. For multi-target detection, a high-precision detection model combining deep learning and mathematical morphology optimization is constructed. An innovative strategy based on mixed integer programming and quantum genetic algorithm is proposed for fire allocation of multi-projectile compound targets. Through rigorous mathematical derivation and model construction, the accuracy and speed of multi-target detection are significantly improved, and the efficient allocation of resources and the maximization of combat effectiveness are achieved in fire allocation. The experimental results show that the accuracy of the multi-target detection model is significantly improved compared with the traditional method, and the multi-weapon composite target fire allocation scheme has obvious advantages in resource utilization and target damage effect, which can provide accurate technical support for military combat decision-making.