基于改进人工免疫算法的火力分配

Improved Artificial Immune Algorithm Based on Weapon-Target Assignment

随着现代武器杀伤力的极大提高,任何来袭目标的突防都可能造成极大的破坏,这对传统的火力分配提出了挑战。提出一种新的火力集中原则,在满足对来袭目标一定杀伤的前提下,适当转移火力,实现火力总的集中,据此建立了火力分配优化模型。通过改进人工免疫算法的抗体群,提高模型的求解速度,缩短方案的寻优时间。通过实例进行仿真,结果表明,基于改进人工免疫算法能较快速实现火力分配,算法具有一定的可行性。

With the great improvement of modern weapons,any target penetration may cause great damage,which challenges the traditional fire distribution. So a new firepower-concentrated principle is put forward in this paper. According to the principle,the fire total concentration can be obtained through transferring fire appropriately,and a fire distribution model is founded. An optimized fire distribution scheme is given based on the improved artificial immune algorithm. The simulation results show that the improved artificial immune algorithm is capable of distributing the firepower effectively and quickly,the method has certain feasibility.