基于贝叶斯优化算法的巡航导弹航迹规划

Trajectory Programming for Cruise Missile Based on Bayesian Optimization Algorithm

巡航导弹作为一种精确打击武器在现代战争中发挥着越来越大的作用。巡航导弹的航迹规划是巡航导弹前期任务计划的重要内容。传统的巡航导弹航迹规划算法大都存在一些难以克服的缺陷,因此该文提出了利用贝叶斯优化算法来对巡航导弹进行航迹规划,贝叶斯优化算法是一种基于图形模型的优化算法,他是对遗传算法的改进,克服了遗传算法的不足,加快了优化过程的收敛速度,并保持了遗传算法的优点。该文介绍了利用贝叶斯优化算法对巡航导弹航迹规划的过程,并通过对具体例子的操作证明了此算法的快捷性。

Cruise missile is a new high - precision attacking weapon and plays an important role in modern wars. Trajectory programming for cruise missile is an important aspect in the plan of Cruise missile. But the traditional methods of trajectory programming for cruise missile almost have their shortcoming, so this paper presents a method which uses the Bayesian optimization algorithm to program the trajectory of cruise missile. Bayesian optimization algorithm belongs to graphics optimization algorithm, it has improved the genetic algorithms. In this paper, the process of trajectory programming for cruise missile is introduced. And the effectiveness and feasibility of the method are proved by an example.