基于改进蚁群算法的巡航导弹航迹规划

研究了一种基于改进蚁群算法的巡航导弹航迹规划方法，以规划出生存概率更大、飞行距离更短的攻击轨迹，有效提高巡航导弹的作战效能。提出了坐标变换的思想，通过坐标变换将蚁群算法中信息素局部更新策略和全局更新策略协同作用的机制合理地应用到了航迹规划中，通过将信息素全局更新规则中的信息素常量和挥发率进行自适应变化来对算法进行了改进，最后对算法进行了计算机编程仿真实现。仿真结果验证了改进算法能有效避免算法过早陷入局部最优，加快算法的收敛速度，能取得目标函数更优的航迹规划路径。

Route Planning of Cruise Missile Based on Improved Ant Colony Algorithm

Route planning of cruise missile based on improved ant colony algorithm is proposed to improve the survival probability and to minimize the flight range. First, based on coordinate transformation, the pheromone local updating rule and the pheromone global updating rule are combined availably. Furthermore, the new algorithm is improved through adaptive changing of the pheromone constant and evaporation rate in the global updating rule. Finally, the algorithm is implemented with computer simulation. The results show that the new method with improvement can help the solutions escape from their local optimum and find better route at higher convergence speed, and that the new method can obtain a rout with better objective function value.