Research on key parameter value optimization design of data driven combat system of system

This paper proposes a kind of data-driven process to optimize the system of system key parameters with agent model and heuristic optimization algorithm, which are hard to optimize by traditional methods due to the high coupling between parameters and unknown design mechanism. Taking a combat system of system as example, this paper built an agent model with BP neural network and then optimized the values of key parameters, realized the optimization design of the key parameters of the combat system of system, and verified the feasibility of the process and technology. It provides a solution for the prediction for evaluation results of system of system design performance and the rapid optimization design of key parameter indicators.