电子科技2026，Vol.39Issue(8)：32-39,8.DOI:10.16180/j.cnki.issn1007-7820.2026.08.005
基于博弈的多波次防空杀伤链优选算法
Research on Multi-Round Air Defense Kill Chain Optimization Algorithm Based on Game Theory
摘要
Abstract
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.关键词
杀伤链/多波次/防空/非合作博弈/纳什均衡/禁忌搜索/遗传算法/剩余能力均衡Key words
kill chain/multi-round/anti-aircraft defense/non-cooperative game/Nash equilibrium/tabu search/genetic algorithm remaining capacity balance分类
信息技术与安全科学引用本文复制引用
宋冠鑫,李晶晶,张龙剑,赵为,占子豪,徐炜阳,余明晖..基于博弈的多波次防空杀伤链优选算法[J].电子科技,2026,39(8):32-39,8.基金项目
国防科研项目(22-TQ02-01-ZT-01-010)National Defense Research Projects(22-TQ02-01-ZT-01-010) （22-TQ02-01-ZT-01-010）
