An Optimization Framework for Manned–Unmanned Squad Equipment System Design and Collocation Scheme Oriented to Micro-Scenarios and Operation Loops

In the design of Infantry Squad Weapon Equipment System-of-Systems (ISWES), traditional text-based systems engineering primarily relies on empirical methods derived from historical designs. This approach suffers from low design efficiency, protracted development cycles, and incomplete system requirements analysis. In addition, determining effective equipment configurations to maximize the integrated operational capabilities of weapon systems has garnered increasing attention. This study proposes a micro-scenario-oriented squad equipment system design framework featuring manned–unmanned teaming collocation optimization. First, an MBSE method applicable to ISWES modeling is proposed, and the initial allocation scheme of ISWES is obtained. Subsequently, a multi-objective optimization model for an allocation scheme is established based on operation loop theory with the objectives of maximizing combat effectiveness and network robustness while minimizing weapon costs, and the CCMO algorithm is employed to obtain the Pareto set. Then, a multi-attribute scheme selection method leveraging Successive Elimination of Alternatives Based on Order and Degree of Efficiency (SEABODE)-improved TOPSIS is proposed to identify the optimal collocation. Finally, a case study on infantry squad-level equipment system design validates the framework’s feasibility and effectiveness.

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Publication Details

Journal
Systems
Published
2026-03-16
DOI
https://doi.org/10.3390/systems14030308
Primary Topic
Advanced Multi-Objective Optimization Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

An Optimization Framework for Manned–Unmanned Squad Equipment System Design and Collocation Scheme Oriented to Micro-Scenarios and Operation Loops

Shuocan Zhu, Yu Zhang, Yaping Wang, Cancan Hu et al.
Systems
Advanced Multi-Objective Optimization Algorithms
article

An Optimization Framework for Manned–Unmanned Squad Equipment System Design and Collocation Scheme Oriented to Micro-Scenarios and Operation Loops

Shuocan Zhu, Yu Zhang, Yaping Wang, Cancan Hu, Fan Yang
article en

Abstract

In the design of Infantry Squad Weapon Equipment System-of-Systems (ISWES), traditional text-based systems engineering primarily relies on empirical methods derived from historical designs. This approach suffers from low design efficiency, protracted development cycles, and incomplete system requirements analysis. In addition, determining effective equipment configurations to maximize the integrated operational capabilities of weapon systems has garnered increasing attention. This study proposes a micro-scenario-oriented squad equipment system design framework featuring manned–unmanned teaming collocation optimization. First, an MBSE method applicable to ISWES modeling is proposed, and the initial allocation scheme of ISWES is obtained. Subsequently, a multi-objective optimization model for an allocation scheme is established based on operation loop theory with the objectives of maximizing combat effectiveness and network robustness while minimizing weapon costs, and the CCMO algorithm is employed to obtain the Pareto set. Then, a multi-attribute scheme selection method leveraging Successive Elimination of Alternatives Based on Order and Degree of Efficiency (SEABODE)-improved TOPSIS is proposed to identify the optimal collocation. Finally, a case study on infantry squad-level equipment system design validates the framework’s feasibility and effectiveness.

SystemsVol. 14(3)
China South Industries Group (China) (CN), Nanjing University of Science and Technology (CN)
National Defense Basic Scientific Research Program of China
Life below water
Openalex Percentile: Top 19%
Advanced Multi-Objective Optimization Algorithms
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