Chinese Journal of Ship Research, Volume. 17, Issue 4, 145(2022)

Carrier-based aircraft operation support scheduling based on apprenticeship learning agorithm

Jin WU1, Mingqiang DAI2, Junjie WANG3, Shanshan YU3, and Minghui YU3
Author Affiliations
  • 1College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, China
  • 2Department of Foundation, Naval University of Engineering, Wuhan 430033, China
  • 3School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China
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    Figures & Tables(15)
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    Schematic of input structure of classifier 分类器的输入构成示意图
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    • Table 1. Task execution schedule of the supporting teams

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      Table 1. Task execution schedule of the supporting teams

      班组编号保障任务保障时间/min班组编号保障任务保障时间/min
      1供电213军械检查2
      2供电414军械检查4
      3通风215武器挂载10
      4通风316武器挂载13
      5机械外观检查317特种设备检查7
      6机械外观检查518特种设备检查8
      7充氧519航电外观检查3
      8充氧720航电外观检查4
      9加油1521解锁3
      10加油1522解锁4
      11加油1523检查验收2
      12加油1524检查验收3
    • Table 2. Constraint of gas station location

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      Table 2. Constraint of gas station location

      加油站编号可加油的机位
      9S1S 2S 3S 4
      10S 4S 5S 6S 7
      11S 7S 8S 9S 10
      12S 10S 11S 12
    • Table 3. Environmental features at t=0

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      Table 3. Environmental features at t=0

      特征元素符号特征表示的内容特征值
      $ \gamma _{{\tau _i}}^1 $保障班组的移动速度1
      $ \gamma _{{\tau _i}}^2 $出动的舰载机数量与战位数量的比值0.33
      $ \gamma _{{\tau _i}}^3 $截至目前已完成任务的比例0
    • Table 4. Features of Agent 1 chooses to execute task of 1# action station (S4) at t=0

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      Table 4. Features of Agent 1 chooses to execute task of 1# action station (S4) at t=0

      特征元素符号特征表示的内容特征值
      $ \gamma _{{\tau _i}}^1 $该战位舰载机起飞顺序1
      $ \gamma _{{\tau _i}}^2 $该战位紧前任务是否完成1
      $ \gamma _{{\tau _i}}^3 $在该战位保障流程中是否含有Agent $ {A_i} $执行的任务1
      $ \gamma _{{\tau _i}}^4 $截至目前该战位已完成保障任务的比例0
      $ \gamma _{{\tau _i}}^5 $从上一保障战位到该战位的距离0
      $ \gamma _{{\tau _i}}^6 $Agent移动至该战位仍需要的时间0
    • Table 5. Comparison of the solutions of three algorithms to aircraft support scheduling problem

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      Table 5. Comparison of the solutions of three algorithms to aircraft support scheduling problem

      算法类别学徒制调度算法样本数量少且质量低的学徒制调度算法遗传算法
      最长保障完成时间/min606662
      保障班组平均移动时间/min5.57.73.5
      可同时使用2个加油站的战位数量/个322
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    Jin WU, Mingqiang DAI, Junjie WANG, Shanshan YU, Minghui YU. Carrier-based aircraft operation support scheduling based on apprenticeship learning agorithm[J]. Chinese Journal of Ship Research, 2022, 17(4): 145

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    Paper Information

    Category: Ship Design and Performance

    Received: Nov. 25, 2020

    Accepted: --

    Published Online: Mar. 26, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.02198

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