摘要
针对多弹协同攻击航路规划问题,提出一种基于改进遗传算法的多弹协同航路规划方法。通过优化航路种群初始化的方法,生成能够满足最大航路点个数约束以及最小航路段长度约束的航路;采用亚种群归类将航路区分为不同的走向,得到多种攻击航路结果;利用进化算子对子代航路进行微调,生成更符合要求的多条航路,并对多弹攻击航路进行仿真验证。结果表明,该算法可得出最优和多条次优航路,符合多弹协同作战的目的和要求。
To solve multi-missile cooperative attacking routing planning problem,a method of rout planning for multi-missile cooperative attack based on improved genetic algorithm is proposed.Firstly,by optimizing the route population initialization method,the route which can satisfy the maximum number of route points and the minimum route segment length constraint is generated.Then the routes are divided into different directions by sub-population classification to obtain various attack routes results.Finally,the evolution operator is used to modify the sub-routes to generate more suitable routes.The simulation is used for verify the multi-missile attack routes.The results prove that the algorithm can obtain the optimal and multiple sub-optimal routes,which meets the purpose and requirements of multi-missile coordinated operations.
作者
杨咪
张安
毕文豪
王嘉隆
Yang Mi;Zhang An;Bi Wenhao;Wang Jialong(School of Aeronautics,Northwestern Polytechnical University,Xi’an 710072,China;Key Laboratory of Data Link Technology,China Electronics Technology Group Corporation,Xi’an 710000,China)
出处
《兵工自动化》
2020年第2期28-32,40,共6页
Ordnance Industry Automation
基金
国家自然科学基金(61573283)
数据链技术重点实验室开放基金(CLDL-20182113)
关键词
多弹协同攻击
种群初始化
亚种群归类
进化算子
multi-missile cooperative attacking
population initialization
sub-population classification
evolution operators
