基于分布估计算法的战能转化控制方法

Combat energy transform control method based on distribution estimation algorithm

针对传统作战实验方法游离作战进程之外,没有依据战争的动态博弈特性探究战争规律,导致难以有效揭开战争迷雾、获取制胜机理,本文提出基于战能控制的作战实验方法。面向动态能力表达,建立了作战行为、装备系统、作战能量之间的关系;面向作战能量控制,构建了反映作战行动阶段性、递进性、目的性、并行性的积蓄-感知-传递-转化战能环,设计了效果、幅值、时间、相位、密度、斜率为一体的战能转化系数以标识作战潜能;将分布估计算法引入到战能优化控制中,依据战能环进行优化阶段划分、行为编码设计,基于战能转化系数进行个体产生方式设计。实验表明,所提方法在优化效率和效果上都要优于传统方法,能够更加有效地推动作战实验开展,为形成战法训法提供量化分析手段。

The traditional operational experiment method of combat process does not explore the law of war based on the dynamic game characteristics of war;thus,it is difficult to effectively uncover the fog of war and obtain the winning mechanism.Considering this problem,a combat energy control method for operational experiment is proposed in this paper.First,to formally define dynamic capability,combat behavior,equipment systems,and combat energy are introduced,and the relationship between them is established.The combat energy comprises seven factors:detection,concealment,defense,attack,accusation,communication,and security.Second,considering combat energy control,a combat energy loop of amassment-perception-delivery-transformation,which effectively interprets the phase,progress,objective,and parallelism of operational activity,is built;the combat transform coefficient,which is composed of effect,peak,time,phase,density,and slope,is designed to identify combat energy.Third,the distribution estimation algorithm is introduced in the combat energy optimization control;the optimization phase is divided,and the behavior coding is designed according to the combat energy loop.The individual production mode is designed based on the combat transform coefficient.Experiments show that the proposed method is superior to the traditional method in terms of optimization efficiency and effect,and it can promote operational experimentation more effectively,providing a quantitative analysis method for research of combat law training methods.