基于博弈的多波次防空杀伤链优选算法OA

In order to optimize the design process of the kill chain and enhance the combat capability of the air defense system under multi-wave attacks,a multi-wave air defense kill chain optimization algorithm based on game theory is proposed.Based on the background of maritime anti-missile defense operations against the air,con-sidering the degree of damage to enemy incoming targets and the consumption of our defense resources,a multi-wave anti-aircraft kill chain optimization model is established with the optimization goals of maximizing the overall damage probability,minimizing the value of weapons,and balancing the remaining capacity of defense resources.Due to the competition for weapon resources among the optimization objectives,a non-cooperative game model is es-tablished with the optimization objective as the game party,and a tabu genetic algorithm based on Nash equilibrium is designed for solution.Through the simulation of typical task scenarios,it can be known that the optimal Nash equilibrium value monotonically decreases with iteration,and the preferred kill chain schemes under single-wave,two-wave,and three-wave attack modes have been obtained.Compared with the tabu genetic algorithm that does not consider the equilibrium of residual capabilities,the proposed algorithm performs better in all indicators and can effectively solve the kill chain optimization problem of multi-wave maritime anti-missile defense operations,provid-ing theoretical support for the optimization of the kill chain design process.