基于改进遗传算法的反舰导弹协同任务规划

Cooperative Missions Planning of Anti-ship Missile Based on Improved Genetic Algorithms

在进行协同任务规划时应同时考虑协同航路规划和任务分配这两个问题,合理选择进攻目标、确定攻击航路以及分配恰当的突击力量于突击目标。针对这一问题提出了目标分配及协同航路选择的优化模型,并且给出了编码结构;针对遗传算法存在的不足,提出了一些改进;然后采用改进的遗传算法对协同任务规划模型进行了仿真验证。仿真结果表明该方法可以有效地规划出协同航路。

Cooperative paths planning and mission assignment should be considered at the same time in mission planning,through which targets are allotted in reason and all missiles arrive at their respective targets simultaneously.For these considerations,the model is given and the method of coding is analyzed.To overcome the shortages and improve the performance of genetic algorithm,this paper put forward an improved genetic algorithm.Then cooperative missions planning are resolved with the improved genetic algorithm.The simulation results show that the approach is effective.