联合弹药毁伤复杂面目标瞄准点高效优化算法

The multi-missile aiming points optimization algorithm has the low computation efficiency,weak stability and insufficient optimization capability for the area targets with complex shapes. An efficient aiming point optimization algorithm (EAPOA) based on the damage probability matrix library (DPML) of circular error probable (CEP) and the improved simulated annealing mechanism is proposed. An optimization model of multi-missile aiming points is developed,which takes into account the impacts of the direct damage,the indirect damage,and the combined damage of multi-missiles on the Target damage effect except for target shape irregularity and missile damage capacity. The proposed DPML method can improve the optimization efficiency and robustness of damage probability estimation algorithm. In addition, a candidate aiming point set-based optimization framework is designed, and a heuristic optimization method based on a global searching and improved simulated annealing that is helpful for escaping from local minima is developed. The performance of the proposed algorithm is verified by using six complex area target test cases. The results show that the proposed EAPOA has stronger optimization ability compared with the genetic algorithm with enhanced elite retention strategy,and the average optimization time is only 1 / 5-1 / 3,which has obvious advantages in optimization income and computational efficiency.