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.