基于信息熵的复杂作战网络动态演化研究

doi:10.16182/j.issn1004731x.joss.22-FZ0908

系统仿真学报 ›› 2022, Vol. 34 ›› Issue (12): 2605-2618.doi: 10.16182/j.issn1004731x.joss.22-FZ0908

基于信息熵的复杂作战网络动态演化研究

张连怡¹^,², 沈喜生³(), 卿杜政¹^,², 张晗¹^,², 周敏¹^,², 王喜富³

^1.北京仿真中心，北京 100854
^2.北京电子工程总体研究所，北京 100854
^3.北京交通大学交通运输学院，北京 100044

收稿日期:2022-08-05 修回日期:2022-10-23 出版日期:2022-12-31 发布日期:2022-12-21
通讯作者: 沈喜生 E-mail:xsshen@bjtu.edu.cn
作者简介:张连怡(1984-)，女，博士，高级工程师，研究方向为系统建模与仿真。

Research on Complex Combat Network Dynamic Evolution Based on Information Entropy

Lianyi Zhang¹^,², Xisheng Shen³(), Duzheng Qing¹^,², Han Zhang¹^,², Min Zhou¹^,², Xifu Wang³

^1.Beijing Simulation Center, Beijing 100854, China
^2.Beijing Institute of Electronic System Engineering, Beijing 100854, China
^3.School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China

Received:2022-08-05 Revised:2022-10-23 Online:2022-12-31 Published:2022-12-21
Contact: Xisheng Shen E-mail:xsshen@bjtu.edu.cn

摘要/Abstract

摘要：

网络中心战、分布式和分散式指挥控制逐渐替代传统的以平台为中心的作战形态和集中式指挥控制，信息成为一种作战能力。结合新型信息化武器装备体系作战环，构建了基于信息熵的复杂作战网络模型，提出了信息化武器装备体系作战能力的度量方法。以提高作战能力作为网络演化动力，设计了复杂作战网络的动态演化规则，构建了择优演化和随机演化2种作战网络演化模型。结合典型信息化武器装备体系作战案例，对其作战网络动态演化进行分析，揭示了复杂武器装备体系整体作战能力与武器装备单元微观变化之间的规律，为信息化武器装备体系作战效能设计与优化提供理论依据。

关键词: 武器装备体系, 作战能力, 协同增益, 自信息, 网络动态演化

Abstract:

Network-centric warfare, distributed and decentralized command and control gradually replace separately the traditional platform-centric warfare and centralized command and control, and information has become a combat capability. Based on the new information weapon equipment system operation loop, a complex combat network model based on information entropy is constructed, and the combat capability measurement method is proposed. On the basis of the combat capability upgrade being the network driving force, the dynamic evolution rule of the complex combat network is designed and the preferential evolution and stochastic evolution models are constructed. According to a typical system combat example, the influence of the weapon equipment combat units on the overall combat capability is analyzed, and a theoretical basis for designing and optimizing the combat effectiveness of the equipment system is proposed.

Key words: weapon equipment system, combat effectiveness, cooperative gain, self-information, dynamic evolution of the network

中图分类号:

TP391.9

张连怡, 沈喜生, 卿杜政, 张晗, 周敏, 王喜富. 基于信息熵的复杂作战网络动态演化研究[J]. 系统仿真学报, 2022, 34(12): 2605-2618.

Lianyi Zhang, Xisheng Shen, Duzheng Qing, Han Zhang, Min Zhou, Xifu Wang. Research on Complex Combat Network Dynamic Evolution Based on Information Entropy[J]. Journal of System Simulation, 2022, 34(12): 2605-2618.

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参考文献 13

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边	权重	作战能力值
(S1, P2)	0.218 5	0.803 7
(S2, P2)	0.203 1	0.816 2
(S3, P3)	0.196 9	0.821 3
(P1, D1)	0.082 3	0.921 0
(P1, D2)	0.076 8	0.926 1
(P1, P4)	0.255 6	0.774 4
(P1, P5)	0.225 0	0.798 6
(P2, P1)	0.245 3	0.782 5

作战环	边数	作战能力
T1-S1-P2-P1-D1-P1-P5-F2-T1	8	0.179 6
T1-S1-P2-P1-D1-P1-P5-F3-T1	8	0.161 3
T1-S1-P2-P1-D2-P1-P5-F2-T1	8	0.181 6
T1-S1-P2-P1-D1-P1-P5-F2-T1	8	0.179 5
T1-S1-P2-P1-D1-P1-P5-F3-T1	8	0.161 3

作战环	边数	作战能力
T2-S1-P2-P1-D1-P1-P4-F1-T2	8	0.144 5
T2-S1-P2-P1-D1-P1-P5-F2-T2	8	0.182 7
T2-S1-P2-P1-D2-P1-P4-F1-T2	8	0.146 2
T2-S1-P2-P1-D1-P1-P4-F1-T2	8	0.144 5
T2-S1-P2-P1-D1-P1-P5-F2-T2	8	0.182 7
T2-S1-P2-P1-D2-P1-P4-F1-T2	8	0.146 2

打击对象	作战能力
对敌方导弹T1	0.383 8
对敌方导弹T2	0.363 2
对敌方导弹T1和T2	0.377 6

项目	数值
节点冗余成本	0.424 5
连接冗余成本	0.176 0
网络冗余成本	0.300 3
网络收益	0.377 6
网络协同增益	0.264 2

基于信息熵的复杂作战网络动态演化研究

Research on Complex Combat Network Dynamic Evolution Based on Information Entropy

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