作战能力与抗毁能力权衡驱动下的杀伤网构建方法

翟文杰; 黄炎焱; 王凯生; 段宇豪; 王建宇

doi:10.12382/bgxb.2025.0470

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作战能力与抗毁能力权衡驱动下的杀伤网构建方法

更新时间：2026-02-10

- 作战能力与抗毁能力权衡驱动下的杀伤网构建方法
- Research on the Construction Method of Kill-web Driven by the Trade-off Between Combat Capability and Anti-destruction Capability
- 兵工学报 2026年
- 作者机构：
  
  南京理工大学自动化学院,江苏,南京,210094
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目(61374186)
- DOI：10.12382/bgxb.2025.0470
  中图分类号： E917
- 收稿：2025-06-09，
  
  网络首发：2026-02-10，
- 稿件说明：
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翟文杰，黄炎焱，王凯生，等. 作战能力与抗毁能力权衡驱动下的杀伤网构建方法[J/OL]. 兵工学报, 2026(2026-02-10). https://doi.org/10.12382/bgxb.2025.0470.

ZHAI W N, HUANG Y N, WANG K S, et al. Research on the construction method of kill-web driven by the trade-off between combat capability and anti-destruction capability zhai wenjie, huang yanyan*, wang kaisheng, duan yuhao, wang jianyu[J/OL]. Acta Armamentarii, 2026(2026-02-10). https://doi.org/10.12382/bgxb.2025.0470. (in Chinese)
翟文杰，黄炎焱，王凯生，等. 作战能力与抗毁能力权衡驱动下的杀伤网构建方法[J/OL]. 兵工学报, 2026(2026-02-10). https://doi.org/10.12382/bgxb.2025.0470. DOI：

ZHAI W N, HUANG Y N, WANG K S, et al. Research on the construction method of kill-web driven by the trade-off between combat capability and anti-destruction capability zhai wenjie, huang yanyan*, wang kaisheng, duan yuhao, wang jianyu[J/OL]. Acta Armamentarii, 2026(2026-02-10). https://doi.org/10.12382/bgxb.2025.0470. (in Chinese) DOI：

摘要

杀伤网体系能力的论证离不开对其攻、防能力的综合建模分析，然而以作战能力与抗毁能力为攻防要素的杀伤网规划模型往往存在目标寻优方向冲突、难以协调的问题。针对这一难题，本文提出一种在作战能力与抗毁能力权衡驱动下开展的杀伤网构建决策方法。构建作战任务‑装备配置‑杀伤链‑杀伤网多层建模框架，形成从作战使命到网络架构的映射关系。结合杀伤网的网络可靠性、连通性特征，分别建立杀伤网作战收益计算模型、抗毁能力度量模型，以表征攻、防两类能力。在此基础上，建立以杀伤网作战收益、抗毁能力指标最大为目标函数，以节点负载约束、目标完备约束等为约束条件的多目标决策模型，并提出改进第二代非支配排序遗传算法(Improved Non-dominated Sorting Genetic Algorithm II

INSGA-II)对模型进行求解。求解结果表明：构建的杀伤网模型体现了杀伤网作战能力与抗毁能力之间的权衡关系，能够有力支持杀伤网攻防能力的优化论证。

Abstract

The demonstration of the kill-websystem's capabilities is inseparable from the comprehensive modeling and analysis of its offensive and defensive capabilities. However

the kill-webplanning models with combat capability and anti-destruction capability as offensive and defensive elements often face the problems of conflicting target optimization directions and difficulty in coordination. To address this challenge

a decision-making method for constructing a kill-web driven by the trade-off between combat capability and anti-destruction capability is proposed.this method first constructs a multi-layer modeling framework of "combat mission–equipment configuration–kill-chain–kill-web"

forming a mapping relationship from combatmissionto network architectures. Combining the network reliability and connectivity characteristics of thekill-web

a calculation model for the combat benefits of thekill-weband a measurement model for anti-destruction capability are established respectively to characterize the offensive and defensive capabilities.on this basis

a multi-objective decision-making model is established

with the maximization of the combat benefits and anti-destructioncapability indicators of thekill-webas the objective functions and node load constraints

target completeness constraints

etc. as the constraint conditions. An improved NSGA-II algorithm (INSGA-II) is proposed to solve the model.the solution results show that the constructedkill-webmodel reflects the trade-off relationship between the combat capability and anti-destructioncapability of thekill-web

which can effectively support the optimization demonstration of the offensive and defensive capabilities of thekill-web.

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references

张龙,钱林方,马欣宇.火炮火力打击体系多目标优化[J].兵工学报,2025,46(8):3-10.

ZHANG L, QIAN L F, MA X Y. Multi-objective optimization of artillery firepower strike system[J]. Acta Armamentarii, 2025,46(8):3-10. (in Chinese)

IONIŢĂ C C. World military high-tech competition to implement the mosaic warfare concept[J]. Strategic Impact, 2021, 4(81): 7-22.

刘兴宇,郭立伟,任成才,等.基于系统工程原理的空中杀伤链构建方法[J].兵工学报,2025,46(增刊1):3-14.

LIU X Y, GUO L W, REN C C, et al. Construction method of aerial kill chain based on system engineering principle [J]. Acta Armamentarii, 2025,46(S1):3-14. (in Chinese)

黄炎焱,王凯生,史宇昂. 基于网络化指标的数据链作战保障能力评估模型研究[J]. 系统工程与电子技术,2023,45(8):2361-2369.

HUANG Y Y, WANG K S, SHI Y A. Research on an evaluation model for data link operational support capability based on networking index[J]. Systems Engineering and Electronics, 2023,45(8):2361-2369. (in Chinese)

王凯生,黄炎焱,孙鹏耀,等.面向能耗均衡的海战场感知网络部署规划[J/OL].控制理论与应用,2025(2025-04-25).https://link.cnki.net/urlid/44.1240.TP.20250424.1546.036.

WANG K S, HUANG Y Y, SUN P Y, et al. Deployment planning of naval battlefield perception network for energy balance[J/OL]. Journal of Control Theory and Applications, 2025(2025-04-25). https://link.cnki.net/urlid/44.1240.TP.20250424.1546.036. (in Chinese)

陈登,陈楚湘,周春华.基于OODA环的杀伤网节点重要性评估[J].兵工学报,2024,45(2):363-372.

CHEN D, CHEN C X, ZHOU C H. Importance evaluation of kill network nodes based on OODA loop[J]. Acta Armamentarii, 2024,45(2):363 - 372. (in Chinese)

燕笑寒,柴华,许强强.基于杀伤网评估的美导弹防御体系效能分析[J].系统工程与电子技术,2025,47(4):1235-1245.

YAN X H, CHAI H, XU Q Q. Effectiveness analysis of the US missile defense system based on kill-web evaluation[J]. Systems Engineering and Electronics, 2025,47(4):1235-1245. (in Chinese)

WANG L Y, CHEN L B, LI M H, et al. Decision-making control in military combat system of systems: a prospect theory approach [C]//Proceedings of the 2022 8th International Conference on Big Data and Information Analytics. Guiyang, China: IEEE, 2022: 41-47.

万斯来,王国新,明振军,等.基于AGE-MOEA的杀伤链建模与优化方法[J].兵工学报,2024,45(8):2617-2628.

WAN S L, WANG G X, MING Z J, et al. Modeling and optimization method of kill chains based on AGE-MOEA[J]. Acta Armamentarii, 2024,45(8):2617-2628. (in Chinese)

关星凯,张安,毕文豪,等.云边协同杀伤网的作战链路服务化构建流程设计[J].指挥与控制学报, 2025, 11(4):504-516.

GUAN X K, ZHANG A, BI W H, Service-oriented combat chain construction process design for the cloud-edge Collaborative kill web[J/OL]. Journal of Command and Control, 2025, 11(4):504-516. (in Chinese)

杨争争,白浩,侯勇.陆战场杀伤网模型与资源优化初探[J].火炮发射与控制学报,2022,43(5):49-53, 71.

YANG Z Z, BAI H, HOU Y. Preliminary exploration on a land battlefield kill web model and resource optimization[J]. Journal of Gun Launch & Control, 2022,43(05):49-53, 71. (in Chinese)

万斯来,王国新,明振军,等.基于知识推理的杀伤网智能设计方法[J].兵工学报,2024,45(4):1025-1037.

WAN S L, WANG G X, MING Z J, et al. Knowledge reasoning-based intelligent design method of kill-web[J]. Acta Armamentarii, 2024,45(4):1025-1037. (in Chinese)

王凯生,黄炎焱.面向OODA链优化闭环的多层杀伤网作战规划技术[J].南京理工大学学报,2024,48(5):642-649.

WANG K S, HUANG Y Y. Multi-layer kill net operation planning technology for OODA chain optimization closed loop[J]. Journal of Nanjing University of Science and Technology, 2024,48(5):642-649. (in Chinese)

罗雨雨,丁伟,明振军,等.面向OODA作战流程的防空火力网端对端智能构建算法[J].兵工学报,2024,45(12):4231-4245.

LUO Y Y, DING W, MING Z J, et al. End-to-end intelligent construction algorithm of air-defense firepower network for OODA operation process[J]. Acta Armamentarii, 2024,45(12):4231-4245.(in Chinese)

LI M, MA H, LV S Y, et al. Enhanced NSGA-II-based feature selection method for high-dimensional classification[J]. Information Sciences, 2024, 663: 120269.

ZHOU G J, ZHAO X M, ZHU X Y, et al. Collaborative optimization of vehicle and charging scheduling for mixed bus systems considering charging load balance[J].Applied Energy, 2025, 384: 125457.

GU Q H, LI K X, WANG D, et al. A MOEA/D with adaptive weight subspace for regular and irregular multi-objective optimization problems[J]. Information sciences, 2024, 661: 120143.

BI W H, ZHOU J L, SHEN J Y, et al. Optimization method of passive omnidirectional buoy array in on-call anti-submarine search based on improved NSGA-II[J]. Ocean Engineering, 2024, 293: 116655.

YUAN M H, LI Y D, ZHANG L Z, et al. Research on intelligent workshop resource scheduling method based on improved NSGA-II algorithm[J]. Robotics and Computer-Integrated Manufacturing, 2021, 71: 102141.

陈文钰,李为民,张涛,等.基于作战交互网络的体系作战能力计算[J].兵工学报,2023,44(10):2885-2896.

CHEN W Y, LI W M, ZHANG T, et al. Calculation of system combat capability using an interactive network approach[J]. Acta Armamentarii, 2023,44(10):2885-2896. (in Chinese)

MONFARED M A S, REZAZADEH M, ALIPOUR Z. Road networks reliability estimations and optimizations: a bi-directional bottom-up, top-down approach[J]. Reliability Engineering & System Safety, 2022, 222: 108427.

熊飞,乔迪,王宏祥,等.一种基于有序二元决策图和布尔函数性质计算网络可靠性的算法[J].电子与信息学报,2014,36(11):2786-2790.

XIONG F, QIAO D, WANG H X, et al. A novel network reliability evaluating algorithm with ordered binary decision diagram based on boolean function[J]. Journal of Electronics & Information Technology, 2014,36(11):2786-2790. (in Chinese)

韩益亮,郭凯阳,吴日铭,等.格上基于OBDD访问结构的抗密钥滥用属性加密方案[J].通信学报,2023,44(1):75-88.

HAN Y L, GUO K Y, WU R M, et al. Attribute-based encryption scheme against key abuse based on OBDD access structure from lattice[J]. Journal on Communications, 2023,44(1):75-88. (in Chinese)

LIU T Y, YU W, XU H. Multi-task assisted multi-objective optimization algorithm for autonomous underwater vehicle path planning[J]. Memetic Computing, 2025, 17(1):8.

ZHONG L C, LI W F, GAO K Z, et al. An improved NSGAII for integrated container scheduling problems with two transshipment routes[J]. IEEE Transactions on Intelligent Transportation Systems, 2024, 25(10):14586-14599.

DENG W, ZHANG X X, ZHOU Y Q, et al. An enhanced fast non-dominated solution sorting genetic algorithm for multi-objective problems[J]. Information Sciences,2022, 585: 441-453.

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