面向无人机集群攻击的防空武器防御部署OA

Aiming at the problem of air defense weapons deployment of anti-unmanned aerial vehicle(UAV)swarm attacks in strategic areas,a hierarchical nonlinear optimization model is established to provide the solution of air defense weapons deployment.Firstly,considering the UAV route shortcuts and the defensive boundaries of air defense weapons,the threat level of the UAV swarm is modeled.Sec-ondly,based on the maximum interception distance of air defense weapons,the relative position of the protected targets,and the boundaries of the UAV swarm routes,the weapons deployment zones are di-vided.Subsequently,the objective function and constraints of the deployment optimization model are es-tablished.Finally,a genetic algorithm is designed to solve the optimization model.The example analysis demonstrates the effectiveness of the optimization model,algorithm,and deployment scheme.Compared with the general genetic algorithm,the proposed algorithm has some advantages in solving efficiency.