
浏览全部资源
扫码关注微信
北京理工大学 机械与车辆学院,北京 100081
Received:20 December 2024,
Online First:25 December 2025,
Published:28 February 2026
移动端阅览
DING Wei, MING Zhenjun, LI Chuanhao, et al. Design Space Exploration of Complex Equipment System-of-systems for Overall Performance Improvement during Long-term Evolution[J]. Acta Armamentarii, 2026, 47(2): 241141.
DING Wei, MING Zhenjun, LI Chuanhao, et al. Design Space Exploration of Complex Equipment System-of-systems for Overall Performance Improvement during Long-term Evolution[J]. Acta Armamentarii, 2026, 47(2): 241141. DOI: 10.12382/bgxb.2024.1141.
针对复杂装备体系(Complex Equipment System-of-Systems,CESoSs)长期演化过程中所面临着整体作战能力与单装能力提升之间存在模型表征难、协调匹配差以及探索权衡不足的问题,提出一种面向长期演化整体性能提升的复杂装备体系设计空间探索方法。阐述CESoSs在长期演化过程中的主要挑战;在此基础上,以新装备融入到现有体系前后的能力变化、体系弹性和装备成本为目标函数,将现装备的使用情况、新装备的战技指标以及二者间的协同关系视为设计变量,构建考虑单装性能与整体能力的耦合优化模型;鉴于设计变量的独特性和解空间的高维性,利用多粒度编码非支配排序遗传算法Ⅲ(Non-dominated Sorting Genetic Algorithm Ⅲ,NSGAⅢ)对CESoSs设计空间进行探索与求解。案例验证结果表明,所提方法有效实现了长期演化下CESoSs设计方案的优化求解,充分挖掘体系作战能力的整体潜能,为未来装备体系设计发展提供了坚实的理论框架。
The difficult model representation
poor coordination matching and insufficient exploration trade-off between the overall combat capability and the single equipment capability improvement exist in the long-term evolution process of complex equipment system-of-systems(CESoSs)
Focusing on the problems above
a design space exploration method of CESoSs for long-term evolution overall performance improvement is proposed. The main challenges of CESoSs in the long-term evolution process are described. On this basis
a coupling optimization model considering the single equipment performance and the overall capacity is constructed. In the model
the capacity change
SoSs resilience and equipment cost before and after the new equipment is integrated into the existing SoSs are taken as the objective functions
and the use of the existing equipment
the indicators of the new equipment and the synergy between the two are taken as the design variables. In view of the uniqueness of design variables and the high-dimensionality of solution space
the multi-granular coding non-dominated sorting genetic algorithmⅢ(NSGA-Ⅲ)is used to explore and solve the design space of CESoSs. The case verification results show that the proposed model effectively realizes the optimization solution of CESoSs design scheme under long-term evolution
fully excavates the overall potential of SoSs combat capability
and provides a solid theoretical framework for the future development of equipment SoSs design.
GUO J,LIU S D,GUO Q. Research on hall for workshop of meta-synthetic engineering for demonstration on weapon equipment system of system[J]. Advanced Materials Research,2013,2534 (756/757/758/759):1329-1333.
程贲,鲁延京,周宇.武器装备体系优化方法研究进展[J].系统工程与电子技术,2012,34(1)):85-90.
CHENG B, LU Y J, ZHOU Y. Research progress on weapon system-of-systems optimization methods[J]. Systems Engineering and Electronics,2012,34(1):85-90. (in Chinese)
郭斐然,于剑桥,宋豹.基于指派模型的导弹装备体系弹种优化设计[J].系统工程与电子技术,2022,44(3):850-862.
GUO F R,YU J Q,SONG B. Optimal design of missile types in missile equipment system based on assignment model[J]. Systems Engineering and Electronics,2022,44 (3):850-862. (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)
WANG Z H, GUO Y, LI N, et al. Autonomous confrontation strategy learning evolution mechanism of unmanned system group under actual combat in the loop[J]. Computer Communications, 2023,209:283-301.
王寿彪,李新明,杨凡德,等.武器装备体系演化研究[J].火力与指挥控制,2017,42(3):1-7.
WANG S B, LI X M, YANG F D, et al. Research progress on evolution of weapon equipment system of systems[J]. Fire Control& Command Control,2017,42(3):1-7. (in Chinese)
郭昊明,王芳,陆凌云,等.基于OODA环的作战体系能力演化分析[J].指挥信息系统与技术,2024,15(1):22-28.
GUO H M,WANG F,LU L Y,et al. Capability evolution of combat system of systems based on OODA loop[J]. Command Information System and Technology,2024,15(1):22-28. (in Chinese)
黄树江,王超,郭基联,等.基于超网络的作战体系演化模型构建方法[J].火力与指挥控制,2021,46(6):64-70.
HUANG S J, WANG C, GUO J L, et al. Construction method of combat system evolution model based on hypernetwork[J]. Fire Control & Command Control,2021,46(6):64-70. (in Chinese)
刘新亮.技术引入对武器装备体系能力影响的评估方法研究[D].长沙:国防科学技术大学,2011.
LIU X L. A methodology for impact evaluation of technology infusion on the capability of weapon system of systems[D]. Changsha:National University of Defense Technology,2011. (in Chinese)
ENDER T,LEURCK R F,WEAVER B,et al. Systems-of-systems analysis of ballistic missile defense architecture effectiveness through surrogate modeling and simulation[J]. IEEE Systems Journal,2010,4(2):156-166.
薛凤桐,权晓伟,梁杰,等.基于代理模型的装备体系作战效能优化方法研究[C]∥第四届体系工程学术会议论文集.厦门:国防科技大学系统工程学院,2022:10.
XUE F T,QUAN X W,LIANG J,et al. Research on operational effectiveness optimization method of weapon equipment system based on surrogate model[C]∥Proceedings of the 4th Academic Conference on System Engineering. Xiamen : College of System Engineering,National University of Defense Technology,2022:10. (in Chinese)
杜波,金光,周经伦,等.基于代理模型的武器装备体系优化算法研究[J].计算机工程与科学,2012,34(6):74-78.
DU B, JIN G, ZHOU J L, et al. Research on the optimization algorithms for weapon equipment systems based on the surrogate model[J].Computer Engineering & Science,2012,34(6):74-78. (in Chinese)
WANG T, ZHOU X, WANG W P, et al. An optimal searching algorithm for the equipment system-of-systems architecture space with uncertain capabilities[J]. IEEE Access,2020,8:125130-125139.
刘磊.面向武器装备体系发展的体系演化建模与探索分析方法研究[D].长沙:国防科学技术大学,2012.
LIU L. Research on evolution modeling and exploratory analysis methodology for weapon equipment system of systems development[D]. Changsha: National University of Defense Technology, 2012. (in Chinese)
罗鹏程,周经伦,金光.武器装备体系作战效能与作战能力评估分析方法[M].北京:国防工业出版社,2014.
LUO P C,ZHOU J L,JIN G. Evaluation and analysis method of combat effectiveness and combat capability of weapon equipment system-of-systems[M].Beijing:National Defense Industry Press, 2004. (in Chinese)
丁伟,明振军,王国新,等.基于正向解析式和多目标博弈优化算法的复杂装备体系优化设计方法[J].兵工学报,2024, 45(6):1974-1990.
DING W, MING Z J, WANG G X, et al. Optimization design method of complex equipment systems based on forward analytical formula and MOGT optimization algorithm[J]. Acta Armamentarii, 2024,45(6):1974-1990. (in Chinese)
陈志伟,焦健,赵廷弟,等.武器装备体系弹性技术研究综述[J].系统工程与电子技术,2023,45(7):2069-2077.
CHEN Z W, JIAO J, ZHAO Y D, et al. Review on resilience technology of weapon system-of-systems[J]. Systems Engineering and Electronics,2023,45(7):2069-2077. (in Chinese)
CHEN Z W,HONG D P,CUI W W,et al. Resilience evaluation and optimal design for weapon system of systems with dynamic reconfiguration[J]. Reliability Engineering and System Safety, 2023,237:109409.
YU J X, JIN Z H, YU Y, et al. Multi-objective optimization of variable-stiffness composite for CFRP-winding buckle arrestor by usingNSGA-Ⅲ[J]. Marine Structures,2024,96:103633.
HE Y Q,LIU L,MAO J X,et al. Improved NSGA-III algorithm for solving multi-objective flexible job shop scheduling problem[C]∥Proceedings of the 2023 7th CAA International Conference on Vehicular Control and Intelligence. Changsha, China: IEEE, 2023:1-6.
WANG K,AI Z B,ZHOU A T,et al. A multi-objective optimal collaborative gas flow regulation method for non-stationary ventilation network based on improved NSGA-Ⅲ algorithm[J]. Advanced Engineering Informatics,2024,61:102486.
AS I,DENNIS J E. Normal-boundary intersection:a new method for generating the Pareto surface in nonlinear multicriteria optimization problems[J]. SIAM Journal on Optimization,1998, 8(3):631-657.
王丽萍,任宇,邱启仓,等.多目标进化算法性能评价指标研究综述[J].计算机学报,2021,44(8):1590-1619.
WANG L P, REN Y, QIU Q C, et al. Survey on performance indicators for multi-objective evolutionary algorithms[J]. Chinese Journal of Computers,2021,44(8):1590-1619. (in Chinese)
BLANK J,DEB K. A running performance metric and termination criterion for evaluating evolutionary multi-and many-objective optimization algorithms[C]∥Proceedings of 2020 IEEE Congress on Evolutionary Computation. Glasgow,UK:IEEE,2020:1-8.
0
Views
40
下载量
0
CNKI被引量
Publicity Resources
Related Articles
Related Author
Related Institution
京公网安备11010802024360号