基于改进遗传算法的多弹协同攻击航路规划

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。

Multi-missile Cooperative Attacking Routing Planning Based onImproved Genetic Algorithm

To solve multi-missile cooperative attacking routing planning problem, a method of rout planning formulti-missile cooperative attack based on improved genetic algorithm is proposed. Firstly, by optimizing the routepopulation initialization method, the route which can satisfy the maximum number of route points and the minimum routesegment length constraint is generated. Then the routes are divided into different directions by sub-populationclassification to obtain various attack routes results. Finally, the evolution operator is used to modify the sub-routes togenerate more suitable routes. The simulation is used for verify the multi-missile attack routes. The results prove that thealgorithm can obtain the optimal and multiple sub-optimal routes, which meets the purpose and requirements ofmulti-missile coordinated operations.