摘要
近年来,基于人工智能技术的自动化作战推演越发受到重视,但是由于有效地采集作战推演数据难度较大,许多依赖数据学习的人工智能技术效果不佳。在结合专家知识和作战推演数据的基础上研究作战推演中的人工智能技术,是一种可行的替代方案。为此,立足兵棋推演设计了关键点推理遗传模糊系统(genetic fuzzy system,GFS)框架,有效整合了对兵棋专家知识的建模和对兵棋复盘数据的学习,从而提高了关键点的推理质量。进一步以安全点为例,构建了安全点推理GFS,在初始化模糊系统规则库的基础上,通过合理设计遗传算法中的参数编码、适应度函数、遗传算子等,实现了安全点推理模糊系统的遗传调优算法。最后,通过实验仿真展示了所提方法的可行性和实用性。
In recent years,more and more attention has been paid to automatic combat deduction based on artificial intelligence technology.However,due to the difficulty in collecting combat deduction data effectively,many artificial intelligence technologies that rely on data learning are ineffective.It is a feasible alternative to study the artificial intelligence technology in combat deduction based on expert knowledge and combat deduction data.Therefore,based on the wargame,a genetic fuzzy system(GFS)framework for key points reasoning is designed,which effectively integrates the knowledge modeling of wargame experts and the learning of wargame replay data,thus improving the reasoning quality of key points.And then,taking securing points as an example,a GFS for securing point reasoning is constructed.On the basis of initializing the rule base of the fuzzy system,by means of the reasonable design of parameter coding,fitness function and genetic operator in the genetic algorithm,the genetic tuning algorithm for securing point reasoning fuzzy system is implemented.Finally,the feasibility and practicability of the proposed model are demonstrated through the experimental simulation.
作者
张可
郝文宁
余晓晗
靳大尉
邵天浩
ZHANG Ke;HAO Wenning;YU Xiaohan;JIN Dawei;SHAO Tianhao(Command and Control Engineering College, Army Engineering University, Nanjing 210007, China)
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2020年第10期2303-2311,共9页
Systems Engineering and Electronics
基金
国家自然科学基金青年项目(61806221)
国防科技创新特区项目(19-163-11-LZ-001-003-01)资助课题。
关键词
遗传模糊系统
兵棋推演
关键点推理
作战推演
遗传算法
兵棋复盘数据
genetic fuzzy system(GFS)
wargame
key point reasoning
combat deduction
genetic algorithm
wargame replay data
作者简介
张可(1996-),女,硕士研究生,主要研究方向为模糊理论和模糊控制,E-mail:2387303531@qq.com;郝文宁(1971-),男,教授,博士研究生导师,博士,主要研究方向为军用数据和知识工程,E-mail:hwnbox@163.com;余晓晗(1985-),男,副教授,博士,主要研究方向为多准则决策,E-mail:yua2006@126.com;靳大尉(1976-),男,副教授,博士,主要研究方向为军用数据和知识工程,E-mail:dave_nj@163.com;邵天浩(1996-),男,硕士研究生,主要研究方向为数据工程,E-mail:296749641@qq.com。
