基于滚动时域的C2组织决策层结构动态适应性优化

C2 Organization Decision-layer Structure Dynamic Adaptive Optimization Based on Rolling Horizon Procedure

针对C2组织决策层结构适应性优化问题,定义了决策层结构与使命的适应性测度,分析了影响C2组织决策层结构的不确定因素,建立了决策层结构适应性优化模型。为了降低决策层结构适应性优化问题求解所面临的不确定性和减少决策层结构变化成本,设计了基于滚动时域的动态适应性优化方法,在提升决策层结构性能的同时控制了决策层结构变化成本。通过计算实验验证了滚动时域方法的有效性。

Aiming at the adaptive optimization problem of command and control（C2） organization decision-layer structure,the mission adaptability measure of decision-layer structure was defined,uncertainty factors that affect C2 organization decision-layer structure were analyzed and the decision-layer structure adaptive optimization model was constructed.In order to reduce the solution uncertainty of the adaptive optimization problem and the change cost of decision-layer structure,a dynamic adaptive optimization approach based on the rolling horizon procedure（RHP） was designed.It is found that it improved the performance of decision-layer structure,and also controlled the change cost of decision-layer structure.The efficiency of RHP is confirmed by the computational experiments.