Deployment optimization for air defense base on artificial potential field

Firepower unit deployment of networked air defense fire control system is a constrained optimization problem in complex dynamic environment. With the development of intelligent weapon systems, firepower units become more and more autonomic. Regarding each firepower unit as an intelligent agent, artificial potential field method is employed to solve the difficulties in mathematical model description and complex constrains handling. Different types of virtual force are applied to units and environment. Unit equilibrium distribution is formed by adjusting parameters of artificial potential functions and deployment solutions are optimized by penetration probability minimization principle. Experiments show that the method is valid and it can be used as a reference to other multi-agent combat systems.