Modern military operations emphasize increasingly on combats between systems. Operational effectiveness is an important index to measure the operational capability of combat system. Weapon system of systems are large-scale with complex structure, and numerous uncertain factors exist that may impact on operational effectiveness. How to screen important factors and select appropriate parameters for important factors to realize optimal operational effectiveness have great significance. This paper focuses on a study of these issues.Firstly, the issues of weapon system of systems’ operational effectiveness sensitivity analysis are studied. According to the needs of effectiveness sensitivity analysis and the characteristics of combat system that numerous factors and interactive effect exist, qualitative and quantitative factors coexist, three methods are given, one of which is Qualitative sensitivity method used to screening important factors, another method is independent of attributes of factors and used to analysis qualitative factors, the last is quantitative analysis method used to solve interactive sensitivity analysis.Secondly, the issues of weapon system of systems’ operational effectiveness optimization are studied. Aiming at the weapon system of systems’ effectiveness optimization characteristics of multivariable, multimodal, high nonlinearity, multi-population genetic algorithm is adopted. Then an improved multi-population genetic algorithm applied to mixed discrete optimization is proposed to deal with the discrete variables. Aiming at the weapon system of systems’ characteristics of unknown model, complex structure, long operating cycle, the solution of optimization based on meta-model is given.Finally, the weapon system of systems’ operational effectiveness analysis and optimization tool is designed and implemented. Then it is applied to the specific system of systems’ sensitivity analysis and optimization tasks, proving the methods and auxiliary tool in the paper to be effective. |