关键词: 毁伤特征提取, 火力分配, 启发式算法, 毁伤评估

Abstract: In order to solve the problem of high dimensionality, multiple constraints and discontinuity of firepower resource allocation, this paper comprehensively considers the constraints such as damage efficiency, interception probability, penetration probability, number of ammunition, target damage level, etc., and constructs the firepower resource allocation objective function based on four firepower resource allocation indicators, including minimizing the number of missiles used, ballistic crossing, interception probability and maximizing strike timeliness. From the perspective of damage assessment, this paper innovatively designs the damage characteristics of four combat zones, including strike timeliness, comprehensive launch capability, firepower coverage capability, and firepower penetration capability, and the damage characteristics of five damage scheme features, including total quantity requirement, total cost requirement, damage level satisfaction ability, damage scheme cost-effectiveness ratio, and fire accessibility, and builds a fitness evaluation model that integrates damage features, which can be used to obtain high-quality initial solutions, greatly improve the optimization efficiency of the algorithm, and can solve the problem of firepower resource allocation in any dimension. Furthermore, the heuristic algorithm of efficient neighborhood search is used to obtain the optimal solution of the firepower resource allocation scheme , and the results of four sets of experiments on the simulated case show that the large-scale cases containing 60 combat zones are optimally solved within 6 seconds, and the ballistic crossing rate after performance optimization is not affected by the combat scale, and when the number of combat zones is twice the target number, the millisecond-level solution can be achieved in the cases within the scale of 40 combat zones, which reflects the strong robustness, rationality and efficiency of the algorithm.

Key words: damage feature extraction, firepower planning, heuristic algorithm, damage assessment