作为提高巡航导弹低空突防能力的关键技术之一,巡航导弹航路规划问题成为众多学者的研究方向。基于遗传算法能够在最短的时间里找到次优解的优点,详细介绍了一种改进的遗传算法,将其应用于巡航导弹航路规划问题中。最后在现在战争中巡航导弹可能遇到的地空导弹、高炮等四种威胁分布已知的情况下,用MATLAB对所建模型进行实验仿真。仿真结果表明该算法收敛,可以解决大范围、多威胁区的巡航导弹低空突防航路规划问题,并具有一定的理论和应用价值。

The use of an improved genetic algorithm to solve a constrained cruise missile routing problem is explored in two-dimensional space. In modern war, the threat areas with which the cruise missiles confronted were represented as circles. A route was defined as a series of points through which the cruise missile sequentially travels from the starting point to the ending point. The physical constraints of total route length maximum angle and minimal step length were included and appear in the fitness function. In order to be valid, a route must go from start to finish without violating any constraint, and can't thrill through the threat circles. The computer simulation results indicate that the genetic algorithm can solve the problem of routing of the cruise missile low altitude penetration, and has a certain value of theory and application.