解武器—目标分配问题的神经网络方法

A Neural Network Algorithm of Solving Weapon- Target Assignment Problem

提出一种解武器—目标分配（ＷｅａｐｏｎＴａｒｇｅｔＡｓｉｇｎｍｅｎｔ，简称ＷＴＡ）问题的神经网络方法，该方法依据二值神经网理论，建立武器与目标的组合关系，设计出一种合理而有效的并行算法，应用此算法分配迎击武器使毁伤全部目标的失败概率达到最小经过多个战例的仿真，结果表明，这种算法不但收敛速度快。

A neural networks-based algorithm for solving weapon-target assignment problem(WTA) is proposed in this paper.The relation between weapons and targets is established by binary neural networks and a reasonable and efficient parallel algorithm,assigning the usable weapons to destroy every battle event,is designed.The results demonstrate that the algorithm can converge to the ideal steady state with high speed.