多平台反舰导弹协同航迹规划

为了提高反舰导弹突防概率，基于遗传算法提出了一种多平台反舰导弹协同航迹规划算法．首先，重点讨论了协同航迹的评价问题．为了达到同步攻击目的，同时使飞行代价最小，研究提出了随种群进化而变化的时间协同度评价策略．其次，探讨了多平台反舰导弹协同航迹规划算法的分解．最后，通过仿真算例校验了该算法寻优得到的诸航迹不仅可使导弹实现协同攻击，而且可以很好地规避威胁．

Cooperative Route Planning of Anti-ship Missiles from Multiple Platforms

An algorithm of cooperative route planning of anti-ship missiles from multiple platforms, based on genetic algorithms, is put forward to improve the penetration probability of missiles. Firstly, how to evaluate cooperation expected routes is discussed in details, and a synchronism evaluation strategy changed along with the evolution of population, so as to obtain the cooperative and lowest-cost routes is developed. Next, the decomposition of the algorithm is discussed. Finally, simulation results indicate that the algorithm is effective to search out the routes which make anti-ship missiles not only launch a coordinated attack, but also evade threats successfully.