系统工程与电子技术 ›› 2023, Vol. 45 ›› Issue (9): 2852-2859.doi: 10.12305/j.issn.1001-506X.2023.09.24

• 系统工程 • 上一篇    下一篇

面向策略多样性的无人集群合作演化建模及仿真

谢震海1,2, 何明1, 禹明刚1,*, 余烤华1, 袁国栋1   

  1. 1. 陆军工程大学指挥控制工程学院, 江苏 南京 210007
    2. 中国人民解放军31630部队, 广东 惠州 516000
  • 收稿日期:2022-04-03 出版日期:2023-08-30 发布日期:2023-09-05
  • 通讯作者: 禹明刚
  • 作者简介:谢震海(1988—), 男, 硕士研究生, 主要研究方向为无人化指挥控制
    何明(1978—), 男, 教授, 博士, 主要研究方向为无人化指挥控制、指挥信息系统
    禹明刚(1986—), 男, 副教授, 博士, 主要研究方向为军事需求工程、军事复杂系统分析、无人化指挥控制
    余烤华(1985—), 男, 硕士研究生, 主要研究方向为部队训练管理与组织
    袁国栋(1992—), 男, 硕士研究生, 主要研究方向为无人机集群
  • 基金资助:
    国家重点研发项目计划(2018YFC0806900);国家自然科学基金(71901217);中国博士后科学基金(2019M663972)

Modeling and simulation of cooperative evolution of unmanned swarms for strategy diversity

Zhenhai XIE1,2, Ming HE1, Minggang YU1,*, Kaohua YU1, Guodong YUAN1   

  1. 1. Institute of Command and Control Engineering, Army Engineering University of PLA, Nanjing 210007, China
    2. Unit 31630 of the PLA, Huizhou 516000, China
  • Received:2022-04-03 Online:2023-08-30 Published:2023-09-05
  • Contact: Minggang YU

摘要:

针对无人集群自主协同时作战单元策略选择多样性问题,基于无标度网络,引入公共物品博弈理论,改进愿景驱动机制,构建无人集群合作演化模型。首先,理论推导出集群作战单元总效能解析表达式。然后,仿真分析多样性策略选择情况下,收益系数、愿景水平、策略数量、成本等各类参数变化对无人集群合作水平的影响。最后,据此给出无人集群作战中有效应对多样性选择的合理建议,为无人集群的自组织协同提供决策支持,为有关理论研究转变为实际军事应用提供理论支持。

关键词: 策略多样性, 无标度网络, 无人集群, 合作演化

Abstract:

Aiming at the diversity of strategy selection of autonomous cooperative simultaneous operation unit of unmanned swarm, based on scale-free network, the game theory of public goods is introduced to improve the vision driven mechanism and build the cooperative evolution model of unmanned swarm. Firstly, an analytical expression for the total effectiveness of cluster combat units is derived theoretically. Then, simulation analysis is conducted on the impact of changes in various parameters such as profit coefficient, vision level, number of strategies, and cost on the level of unmanned swarm cooperation under the condition of diversity strategy selection.Finally, based on this, reasonable suggestions are given to effectively deal with diverse sexual selection in unmanned swarm operations, providing decision-making support for self-organization and collaboration of unmanned swarm, and providing theoretical support for the transformation of relevant theoretical research into practical military applications.

Key words: strategy diversity, scale-free network, unmanned swarm, cooperative evolution

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