摘要
作战推演中实体模型决策依赖于行为规则,为解决作战行为规则构建难、现有规则条件判断不全面的问题,提出一种作战推演模型行为优化方法。针对战场态势模糊和不确定的特点,构建了作战推演模型决策框架,基于模糊推理系统搭建以行为规则库为核心的决策模块,对遗传算法进行改进,借助作战推演环境训练实现行为规则库的优化。通过实验分析证明了该方法的可行性和有效性。
The decision-making of entity model in combat simulation relies on behavioral rules,in order to solve such problems as difficult construction of combat behavioral rules and incomplete judgement of existing rule conditions,a method of behavioral optimization of combat simulation model is proposed Aiming at the fuzzy and uncertain characteristics of battlefield situation,the decision-making framework of combat simulation model is constructed,and the decision-making module based on the fuzzy inference system is built with the behavioral rule base as the core,the genetic algorithm is improved,and the optimization of the behavioral rule base is realized with the help of the training in the environment of combat simulation.Finally,the feasibility and effectiveness of the proposed method are proved by experimental analysis.
作者
何阳
杜伟伟
石昊
张彦雯
HE Yang;DU Weiwei;SHI Hao;ZHANG Yanwen(North Automatic Control Technology Institute,Taiyuan 030006,China;School of Mechatronics,Beijing Institute of Technology,Beijing 100081,China;Key Laboratory of Intelligent Information Control Technology of Shanxi Province,Taiyuan 030006,China)
出处
《火力与指挥控制》
CSCD
北大核心
2024年第5期96-101,共6页
Fire Control & Command Control
关键词
作战推演
行为规则
模糊系统
遗传算法
combat simulation
behavioral rules
fuzzy systems
genetic algorithms
