基于作战能力的模块化兵力抽组模型研究

Research on modular force grouping model based on operational capability

为解决联合作战筹划兵力编组科学高效的问题,提出了作战元能力非线性生成聚合作战能力的方法,建立了“作战子任务-聚合作战能力-作战元能力-营级作战单元”的兵力抽组关系。以作战能力供需向量匹配为基本抽组依据,构建了多优化目标多约束条件的联合作战层级的模块化兵力抽组模型。提出了基于遗传算法的模型求解框架,说明了决策变量编码、适应值计算、兵力抽组解码的流程方法。实验表明:基于作战能力的模块化兵力抽组模型,能够精确高效地抽组满足作战任务需要的营级作战单元。

In order to solve the problem of scientificity and efficiency of force grouping in joint operational planning,a nonlinear method of generating polymeric operational capability from combative element capability is proposed,and a force grouping relationship of"operational subtasks to polymeric operational capability to combative meta-capabilities to battalion combative units"is established.And a modular force grouping model at the joint operational level with multiple optimized targets and multiple constraints is constructed based on the matching of supplying and demanded vectors of operational capability.A model solving framework based on genetic algorithm is proposed,and the processes and methods of coding decided variable,calculating adaptive value and decoding chromosome of the force grouping are explained.Experiments show that the modular force grouping model based on the matching of operational capability can accurately and efficiently group battalion combative units to meet the needs of operational tasks.