基于改进蚁群算法的巡航导弹巡航段航路规划

为提高巡航导弹的突防概率,在对敌防御区域内的目标进行打击时,必须保证它能以较小的被发现概率和可接受的航程接近目标.针对这一问题,提出一种新的航路规划区域粒度控制图--圆径图,对传统的蚁群算法进行了讨论和改进,使其更具智能化,将它们应用于巡航导弹的航路规划问题,详细地考虑了巡航导弹航路规划中的各种影响因素,提出合理的代价函数,进行了仿真计算.仿真结果表明,圆径图和改进后的蚁群算法能够较好地解决巡航导弹的航路规划问题,改进后的算法收敛速度快,全局寻优能力强.

Route Programming for Cruise Phase of Cruise Missile Based on Improved Ant Colony Algorithm

In order to improve penetration probability of cruise missile, the less detected probability and feasible route must be ensured to close to the targets while striking targets in enemy defense area. A new diagram named circle-radius diagram was brought forward to control granularity of programming-area. Based on the improved ant colony algorithm, an optimal method of route programming applied to cruise missile was presented. Effect factors of route programming was considered. The reasonable expense-function was presented. The result of the simulation shows that the circle-radius diagram and the improved ant colony algorithm can solve the route programming problem of cruise missile efficiently. The improved ant colony algorithm has fast convergence rate and high capability of search optimization.