Mission-oriented Combat Effectiveness Evaluation Model for Intelligent Equipment System-of-systems

Authors

• Long Zhang, System Engineering Research Institute, Academy of Military Science, Beijing 100101, China
• Wenbo Huang, System Engineering Research Institute, Academy of Military Science, Beijing 100101, China
• Xuanming Feng, System Engineering Research Institute, Academy of Military Science, Beijing 100101, China; Science and Technology Innovation Research Center, Army Research Institute, Beijing 100012, China
• Zhen Lei, System Engineering Research Institute, Academy of Military Science, Beijing 100101, China; Naval Aviation University, Yantai 264000, China
• Ying Wang, System Engineering Research Institute, Academy of Military Science, Beijing 100101, China

Abstract

Abstract: A hierarchical evolutionary adaptive learning (HEAL) framework is proposed to address the problems in the operational simulation of intelligent equipment systems under complex adversarial environments, including fragmented hierarchical decision-making, unclear mapping between algorithmic indicators and operational effectiveness, and the lack of adaptive evolution capability of simulation models. A multi-layer learning architecture that integrates robust autonomous decision-making for single units, emergent collaboration of system networks, and game-theoretic evolution of system-of-systems strategies is constructed by following the “micro-meso-macro” system-oriented hierarchical modeling paradigm. A cross-layer closed-loop coupling among learned policies, cooperative structures, and operational effectiveness is achieved by combining bottom-up behavioral abstraction with top-down rule shaping, thereby establishing an interpretable mapping relationship from algorithmic indicators to operational effectiveness indicators. Simulation results demonstrate that compared with single-layer or weakly coupled learning methods, the HEAL framework significantly improves the mission success rate and collaboration consistency, while effectively mitigating effectiveness degradation under complex disturbances. A unified and verifiable methodological framework is provided for hierarchical modeling, collaborative learning, and simulation-based evaluation of operational effectiveness for intelligent equipment systems.

Recommended Citation

Zhang, Long; Huang, Wenbo; Feng, Xuanming; Lei, Zhen; and Wang, Ying (2026) "Mission-oriented Combat Effectiveness Evaluation Model for Intelligent Equipment System-of-systems," Journal of System Simulation: Vol. 38: Iss. 10, Article 4.
DOI: 10.16182/j.issn1004731x.joss.26-0128
Available at: https://dc-china-simulation.researchcommons.org/journal/vol38/iss10/4

First Page

2819

Last Page

2839

CLC

TP18

Recommended Citation

Zhang Long, Huang Wenbo, Feng Xuanming, et al. Mission-oriented Combat Effectiveness Evaluation Model for Intelligent Equipment System-of-systems[J]. Journal of System Simulation, 2026, 38(10): 2819-2839.

Corresponding Author

Wang Ying

DOI

10.16182/j.issn1004731x.joss.26-0128