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Electronics Optics & Control, Volume. 32, Issue 6, 24(2025)

A Dynamic Weapon-Target Assignment Algorithm Based on Improved PSO-DQN

QIU Shaoming, LIU Liangyu, HUANG Xinchen, and E Bicong
Author Affiliations
  • Key Laboratory of Communication and Network at Dalian University, Dalian 116000, China
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    [4] [4] MEI Z, PENG Z,ZHANG X. Optimal dynamic weapon-target assignment based on receding horizon control heuristic ［C］//2017 13th IEEE International Conference on Control & Automation (ICCA). Ohrid: IEEE, 2017: 876-881.

    [12] [12] ROUGHGARDEN T. Algorithmic game theory［J］. Communications of the ACM, 2010, 53(7): 78-86.

    [14] [14] KONAK A, KULTUREL-KONAK S, SNYDER L V. Nash equilibrium sorting genetic algorithm for simultaneous competitive maximal covering location with multiple players［J］. Engineering Optimization, 2022, 54(10): 1709-1723.

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    QIU Shaoming, LIU Liangyu, HUANG Xinchen, E Bicong. A Dynamic Weapon-Target Assignment Algorithm Based on Improved PSO-DQN[J]. Electronics Optics & Control, 2025, 32(6): 24

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    Paper Information

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    Received: May. 13, 2024

    Accepted: Jun. 12, 2025

    Published Online: Jun. 12, 2025

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2025.06.004

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology