Adaptive Control Method of Experiments' Number in System-of-Systems Combat Simulation

In the process of solution optimization,in order to eliminate effect of random factors,Monte Carlo simulation is needed.This paper describes how to introduce confidence interval into system-of-systems combat simulation,so whether to end the Monte Carlo simulation based on data generated from simulation process can be determined.And based on the character of data,the confidence interval method is extended,so the number of experiments at the condition of meeting the precision requirement of solutions can be minimized.Simulation results show that the extended confidence interval method can control Monte Carlo simulation adaptively.