基于差分进化算法的面目标瞄准点寻优

瞄准点的寻优选取是导弹火力筹划的核心理论问题之一。针对此问题，本文基于矩形面目标毁伤面积计算设计评价函数，利用差分进化算法原理对面目标的瞄准点坐标进行实数编码，并设计差分进化算子，建立面目标瞄准点寻优模型。通过设计面目标计算实例对模型进行验证，实验结果表明，差分进化算法的稳定性较强且具有较好的操作性，模型求得的瞄准点可信度较高，能够提升导弹打击效果并降低打击成本，为火力筹划中瞄准点寻优提供了新方法。

Optimization of Area Target Aiming Point Based on Differential Evolution Algorithm

The optimization of aiming point is one of the core theoretical problems in missile firepower planning. In order to solve this problem, this paper designs an evaluation function based on the damage area calculation of rectangular area target, uses the principle of differential evolution algorithm to encode the coordinates of target aiming point, designs a differential evolution operator, and establishes an optimization model of target aiming point. The model is verified by designing an area target calculation instance. The experimental results show that the differential evolution algorithm has strong stability and good operability. The aiming point obtained by the model is highly reliable, and it can improve the missile strike effect and reduce the strike cost. It provides a new method for the optimization of the target point in firepower planning.