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基于多智能体联盟的多机协同空战任务分配

刁兴华 方洋旺 肖冰松 毛东辉

刁兴华, 方洋旺, 肖冰松, 等 . 基于多智能体联盟的多机协同空战任务分配[J]. 北京航空航天大学学报, 2014, 40(9): 1268-1275. doi: 10.13700/j.bh.1001-5965.2013.0564
引用本文: 刁兴华, 方洋旺, 肖冰松, 等 . 基于多智能体联盟的多机协同空战任务分配[J]. 北京航空航天大学学报, 2014, 40(9): 1268-1275. doi: 10.13700/j.bh.1001-5965.2013.0564
Diao Xinghua, Fang Yangwang, Xiao Bingsong, et al. Task allocation in cooperative air combat based on multi-agent coalition[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(9): 1268-1275. doi: 10.13700/j.bh.1001-5965.2013.0564(in Chinese)
Citation: Diao Xinghua, Fang Yangwang, Xiao Bingsong, et al. Task allocation in cooperative air combat based on multi-agent coalition[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(9): 1268-1275. doi: 10.13700/j.bh.1001-5965.2013.0564(in Chinese)

基于多智能体联盟的多机协同空战任务分配

doi: 10.13700/j.bh.1001-5965.2013.0564
详细信息
    作者简介:

    刁兴华(1984-),男,山西翼城人,博士生,diaoxh@163.com.

  • 中图分类号: V271.4;E926

Task allocation in cooperative air combat based on multi-agent coalition

  • 摘要: 基于多智能体联盟形成理论,分析了网络化条件下多平台多目标攻击任务分配问题。将协同任务分配的过程视为复杂联盟的生成过程,首先将对目标总体的打击任务分解为一系列子任务,各子任务再进一步分解为单个平台能够完成的任务单元;再根据联盟特征函数的定义分别建立联盟报酬、能力成本、通信开销模型,以联盟特征函数作为空战任务分配目标函数;最后引入离散粒子群优化算法进行联盟生成,采用二进制矩阵编码形式,设计粒子可行性检查策略。仿真实验验证了本方法在协同制导条件下空战任务分配的合理性与有效性。

     

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出版历程
  • 收稿日期:  2013-10-10
  • 刊出日期:  2014-09-20

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