C^4ISR系统指挥控制关系适应性演化模型和方法研究  

Model and solving method for adaptive evolution of command and control relationship in C^4ISR system

作　　者：张杰勇[1,2] 蓝羽石[1] 易侃[1] 毛少杰[1] 王珩[1] 

机构地区：[1]中国电子科技集团公司第二十八研究所信息系统工程重点实验室,江苏南京210007 [2]空军工程大学信息与导航学院,陕西西安710077

出　　处：《系统工程与电子技术》2015年第7期1543-1550,共8页Systems Engineering and Electronics

基　　金：总装预研基金(513060204)资助课题

摘　　要：研究了C4ISR系统结构中指挥控制关系的适应性演化问题。构建了C4ISR系统结构中的指挥控制关系模型,在对指挥控制关系适应性演化过程分析和描述的基础上,设计了演化过程中的指挥控制关系的结构变化代价和性能代价,并以最小化总的演化代价为目标函数构建了指挥控制关系适应性演化问题的数学模型。提出了基于n-Best策略层级聚类方法和遗传算法(genetic algorithm,GA)的问题模型求解思路。n-Best策略层级聚类方法用来获取每个任务阶段可行的指挥控制关系集合,而GA用来搜索最优的演化路径。最后通过某一仿真算例验证了求解方法的可行性、稳定性。The adaptive evolution of command and control （C2 ）relationship in C4 ISR system structure is studied.The model of the C2 relationship is established,the process of the C2 relationship adaptive evolution is analyzed and depicted,the cost of structure change and the cost of performance are designed,and the mathemat-ic model with the value of sum of evolution cost minimization as the objective function is built for the problem of the C2 relationship adaptive evolution.Then the method based on the n-Best strategy hierarchical clustering al-gorithm and genetic algorithm （GA）to solve this model is designed.The hierarchical clustering algorithm based on n-Best strategy is used for getting the feasible C2 relationship in each task window,and the GA is used for searching the best path of evolution.Finally,the applicability and stability of this solving algorithm are illustra-ted by a case of joint operational plan.

关 键 词：C4ISR系统 指挥控制关系 适应性演化 n-Best策略 层次聚类方法 遗传算法 

分 类 号：E919[军事] C394[社会学]