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

丁伟; 明振军; 李传浩; 王国新; 阎艳; 陈刚

doi:10.12382/bgxb.2024.1141

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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

更新时间：2026-04-24

- 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
- Design Space Exploration of Complex Equipment System-of-systems for Overall Performance Improvement during Long-term Evolution
- 兵工学报 2026年47卷第2期页码：241141
- 作者机构：
  
  北京理工大学机械与车辆学院，北京 100081
- 作者简介：
  
  通信作者邮箱：zhenjun.ming@bit.edu.cn
- 基金信息：
  
  国家自然科学基金项目(62373047)
- DOI：10.12382/bgxb.2024.1141
  中图分类号： TJ01
- 收稿：2024-12-20，
  
  网络首发：2025-12-25，
  
  纸质出版：2026-02-28
- 稿件说明：
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丁伟, 明振军, 李传浩, 等. 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[J]. 兵工学报, 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.
丁伟, 明振军, 李传浩, 等. 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[J]. 兵工学报, 2026,47(2):241141. DOI： 10.12382/bgxb.2024.1141.

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.

摘要

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。

Abstract

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.

关键词

Keywords

references

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