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海上编队协同防空作战规则反演方法

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为解决海上编队协同防空作战中多任务多平台的协同决策问题,提出基于遗传模糊逻辑树的协同防空作战规则反演方法.设计面向威胁判断、目标分配、火力控制等指控决策的级联式模糊推理系统,采用演化学习从博弈对抗中学习和反演协同作战规则.作战仿真测试表明,该方法能够适应战场的动态变化且决策时延低于1s.基于遗传模糊逻辑树的作战规则反演缓解了深度强化学习等面临的可解释性问题和作战仿真中的奖励稀疏问题,同时反演生成的作战规则也为剖析战场规律提供了新的知识来源.
Maritime formation cooperative air defense combat rule inversion method
To solve the multi-task and multi-platform cooperative decision-making problem in the maritime formation cooperative air defense operation,a method of inversion of cooperative air defense operation rules based on genetic fuzzy lo-gic tree was proposed.A cascading fuzzy inference system is designed for threat assessment,target weapon assignment,fire control and other C2 tasks.Evolutionary learning is used to learn and invert cooperative combat rules from Wargaming.Based on the simulation results,the method can adapt to the dynamic changes of the battlefield and the decision-making delay is less than 1 second.The inversion of combat rules based on genetic fuzzy logic tree alleviates the lack of interpretab-ility faced by deep reinforcement learning and the problem of reward sparsity in simulation environment.At the same time,the combat rules generated by inversion also provide a new source of knowledge for analyzing the nature of naval warfare.

combat rulefuzzy logicevolutionary learningair-defense operation

李洋、刘耿、李奔、胡晓惠、樊垚

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中国船舶集团有限公司系统工程研究院,北京 100036

中国科学院软件研究所,北京 100190

中国船舶集团有限公司工程管理中心,北京 100101

作战规则 模糊逻辑 演化学习 防空作战

2024

舰船科学技术
中国舰船研究院,中国船舶信息中心

舰船科学技术

CSTPCD北大核心
影响因子:0.373
ISSN:1672-7649
年,卷(期):2024.46(8)
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