基于多要素改进 NSGA-Ⅱ的小直径制导炸弹空面打击最优火力分配方法

To maximize their strike efficiency against area targets，this paper proposes an optimal firepower allocation method for small diameter guided bombs in air-to-surface strike based on Multi-Factors Modified Non-Dominated Sort⁃ ing Genetic Algorithm-II（MFM-NSGA-II）. Considering the error dispersion of the guided bomb，an evaluation model of the strike efficiency of a single guided bomb is established by using the grid method. On this basis，the optimal fire dis⁃ tribution model of multiple guided bombs is established. The optimization objective function for the maximum strike effi⁃ ciency and the minimum amount of ammunition is constructed，and the optimal fire distribution model of the guided bomb is established. By introducing the probability selection operator，hybrid crossover operator and improved elite re⁃ tention strategy，the multi-factors in Non-Dominated Sorting Genetic Algorithm-II（NSGA-II）are improved to enhance the global search ability of the algorithm and improve the performance of the algorithm. The simulation results show that the MFM-NSGA-II can obtain an effective optimal firepower allocation scheme for small diameter guided bombs. The amount of ammunition corresponding to the optimal firepower allocation result changes with the change of scene parameters，and the solution quality of the proposed method is better than that of the original NSGA-II and multiobjective particle swarm optimization.