Journal of System Simulation
Abstract
Abstract: The impact of various random disturbances in the actual command and control environment of unmanned systems on problem modeling and solving of weapon target assignment was considered, and three types of uncertainty disturbance constraints were investigated. A multi-objective dynamic sensor weapon target assignment model was established. By considering the issues of model property changes caused by disturbances and insufficient robustness of the traditional single-operator solving algorithm, a multi-operator constrained multi-objective evolutionary framework based on the deep Q-network was proposed. The algorithm described the convergence, diversity, and feasibility of the population in both the objective and decision spaces. It established a mapping model from states to reproduction operators, achieving a dynamically adjusted reproduction strategy. Simulation experiments validated the algorithm's excellent performance and robustness when solving models.
Recommended Citation
Bai, Zhenzu; Hou, Yizhi; He, Zhangming; Wei, Juhui; Zhou, Haiyin; and Wang, Jiongqi
(2025)
"Optimization of Dynamic Weapon Target Assignment Considering Random Disturbances,"
Journal of System Simulation: Vol. 37:
Iss.
12, Article 1.
DOI: 10.16182/j.issn1004731x.joss.25-0351
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol37/iss12/1
First Page
2967
Last Page
2980
CLC
TN949; TP391
Recommended Citation
Bai Zhenzu, Hou Yizhi, He Zhangming, et al. Optimization of Dynamic Weapon Target Assignment Considering Random Disturbances[J]. Journal of System Simulation, 2025, 37(12): 2967-2980.
DOI
10.16182/j.issn1004731x.joss.25-0351
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