ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Multi-stage collaborative decision-making approach for dynamic scheduling of carrier-based aircraft support operations
Received date: 2025-11-11
Revised date: 2025-11-26
Accepted date: 2025-12-09
Online published: 2025-12-15
Supported by
National Natural Science Foundation of China(62402453);Natural Science Foundation of Henan(242300421215);China Postdoctoral Science Foundation(2022TQ0297)
To address the insufficient exploration of subtask coupling relationships and limited dynamic adaptability in existing carrier-based aircraft support operation scheduling research, this study investigates a multi-stage scheduling problem for carrier-based aircraft support operations. Firstly, by modeling both support station allocation and aircraft servicing sequence determination as a multi-agent Markov decision process, this paper establishes a mathematical characterization of the sequential coupling relationships between subtasks in support operation scheduling. Subsequently, an independent Deep Q-Network(DQN)based multi-agent collaborative decision-making framework is proposed, incorporating a distributed training-execution mechanism that specially includes a support station allocation module, an aircraft servicing sequence decision module, and a multi-agent collaborative scheduling module. Furthermore, a collaborative scheduling algorithm based on the multi-stage sequential decision-making mechanism is developed to solve the proposed model. Finally, simulation results demonstrate that the proposed algorithm achieves a 27.08% and 14.19% improvement in average reward, and a 56.44% and 45.43% improvement in reward standard deviation, over the Dueling DQN and N-step DQN methods, respectively, verifying the effectiveness of the multi-stage collaborative decision-making mechanism in addressing complex scheduling problems.
Shuo HE , Jialin LIU , Ao SHEN , Saisai ZHU , Yuanyuan JIN , Lulu LI , Yafei LI , Mingliang XU . Multi-stage collaborative decision-making approach for dynamic scheduling of carrier-based aircraft support operations[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2026 , 47(15) : 333077 -333077 . DOI: 10.7527/S1000-6893.2025.33077
| [1] | 邓建辉, 田程程, 王岩磊, 等. 基于改进樽海鞘算法的舰载机舰面保障作业流程优化方法[J]. 中国舰船研究,2024, 19(S2): 1-10. |
| DENG J H, TIAN C C, WANG Y L, et al. Optimization method of carrier-based aircraft support operation process based on improved salp swarm algorithm[J]. Chinese Journal of Ship Research, 2024, 19(S2): 1-10 (in Chinese). | |
| [2] | LIU Y J, HAN W, SU X C, et al. Optimization of fixed aviation support resource station configuration for aircraft carrier based on aircraft dispatch mission scheduling [J]. Chinese Journal of Aeronautics, 2023, 36(2): 127-138. |
| [3] | 刘翱, 刘克. 舰载机保障作业调度问题研究进展[J]. 系统工程理论与实践, 2017, 37(1): 49-60. |
| LIU A, LIU K. Advances in carrier-based aircraft deck operation scheduling[J]. Systems Engineering-Theory & Practice, 2017, 37(1):49-60 (in Chinese). | |
| [4] | 万兵, 韩维, 梁勇, 等. 舰载机出动离场调度优化算法[J]. 系统工程与电子技术, 2021, 43(12): 3624-3634. |
| WAN B, HAN W, LIANG Y, et al. Optimization algorithm of carrier-based aircraft sortie departure scheduling[J]. Systems Engineering and Electronics, 2021,43(12):3624-3634 (in Chinese). | |
| [5] | 毕文豪, 张梦琦, 高飞, 等. 无人机集群任务分配技术研究综述[J]. 系统工程与电子技术, 2024, 46(3): 922-934. |
| BI W H, ZHANG M Q, GAO F, et al. Review on UAV swarm task allocation technology[J]. Systems Engineering and Electronics, 2024, 46(3): 922-934 (in Chinese). | |
| [6] | 鄢青青, 沈怀荣, 邵琼玲. 航天测控资源调度问题建模与求解研究综述[J]. 系统仿真学报, 2015, 27(1): 1-12, 36. |
| YAN Q Q, SHEN H R, SHAO Q L. Research overview on modeling and solution of aerospace TT&C scheduling problem[J]. Journal of System Simulation, 2015, 27(1): 1-12, 36 (in Chinese). | |
| [7] | 谭大力, 王云飞, 于连飞, 等. 基于整数线性规划方法的舰载机航空保障资源优化调度[J]. 中国舰船研究, 2019, 14(5): 145-151. |
| TAN D L, WANG Y F, YU L F, et al. Optimal scheduling of aviation support resources for carrier based aircrafts based on integer linear programming[J]. Chinese Journal of Ship Research, 2019, 14(5): 145-151 (in Chinese). | |
| [8] | RYAN J C, BANERJEE A G, CUMMINGS M L, et al. Comparing the performance of expert user heuristics and an integer linear program in aircraft carrier deck operations[J]. IEEE Transactions on Cybernetics, 2014, 44(6): 761-773. |
| [9] | 宁聪, 范菁, 孙书魁. 多无人机协同规划研究综述[J]. 计算机工程与应用, 2025, 61(1): 42-58. |
| NING C, FAN J, SUN S K, et al. Review of multi-UAV collaborative planning research[J]. Computer Engineering and Applications, 2025, 61(1): 42-58 (in Chinese). | |
| [10] | 葛宏义, 补雨薇, 蒋玉英, 等. 人工智能在太赫兹超材料设计与优化领域的研究进展[J]. 激光与光电子学进展, 2024, 61(23): 38-57. |
| GE H Y, BU Y W, JIANG Y Y, et al. Advances in artificial intelligence for design and optimization of terahertz metamaterials[J]. Laser & Optoelectronics Progress, 2024, 61(23): 38-57 (in Chinese). | |
| [11] | RAHMANI S, AGHALAR H, JEBREILI S, et al. Optimization and computing using intelligent data-driven approaches for decision-making [M]∥ Boca Raton: Taylor & Francis Group.CRC Press, 2024: 90-176. |
| [12] | 刘子玄, 万兵, 苏析超, 等. 基于HA算法的舰载机出动作业调度方法[J]. 系统工程与电子技术, 2024, 46(5): 1691-1702. |
| LIU Z X, WAN B, SU X C, et al. Sortie scheduling method of carrier aircraft based on HA algorithm[J]. Systems Engineering and Electronics, 2024, 46(5): 1691-1702 (in Chinese). | |
| [13] | 郭放, 韩维, 刘玉杰, 等 . 基于可变作业流程的舰载机机务勤务保障作业调度[J]. 航空学报, 2025, 46(13):531195. |
| GUO F, HAN W, LIU Y J, et al. Scheduling for maintenance and service support of carrier based aircraft based on variable operation process[J]. Acta Aeronautica et Astronautica Sinica, 2025, 46(13): 531195 (in Chinese). | |
| [14] | 万兵, 苏析超, 郭放, 等. 不确定性工时下甲板作业的前摄性鲁棒调度[J]. 航空学报, 2022, 43(12): 325971. |
| WAN B, SU X C, GUO F, et al. Proactive robust scheduling of aircraft carrier flight deck operations with uncertain activity durations[J]. Acta Aeronautica et Astronautica Sinica, 2022, 43(12): 325971 (in Chinese). | |
| [15] | 王宁, 张毅. 基于黏菌算法的一站式多机舰面保障作业调度研究[J]. 教练机, 2025(1): 5-11, 16. |
| WANG N, ZHANG Y. Research on one-stop support operation of aircraft carrier deck for multi-aircraft based on slime mould algorithm(SMA)[J]. Trainer, 2025(1):5-11, 16 (in Chinese). | |
| [16] | 朱兴动, 赵洋, 范加利, 等. 基于改进引力搜索算法的舰载机一站式保障作业优化调度方法[J]. 舰船电子工程, 2023, 43(8): 98-103, 196. |
| ZHU X D, ZHAO Y, FAN J L, et al. Optimization and scheduling method for shipborne aircraft one-stop support operations based on improved gravity search algorithm[J]. Ship Electronic Engineering, 2023, 43(8): 98-103, 196 (in Chinese). | |
| [17] | 袁子龙, 何非, 赵建波, 等. 航母舰载机保障作业任务分配及弹药转运调度优化方法[J]. 兵工学报, 2025, 46(5): 286-299. |
| YUAN Z L, HE F, ZHAO J B, et al. Optimization method of carrier-borne aircraft support operation assignment and ammunition transport scheduling[J]. Acta Armamentarii, 2025, 46(5): 286-299 (in Chinese). | |
| [18] | 刘哲, 马俊飞, 陈佳峰, 等. 基于改进灰狼算法的舰载机弹药保障调度优化[J]. 系统工程与电子技术, 2024, 46(4): 1264-1272. |
| LIU Z, MA J F, CHEN J F, et al. Carrier-based aircraft ammunition support scheduling optimization based on improved grey wolf optimizer algorithm[J]. Systems Engineering and Electronics, 2024, 46(4): 1264-1272 (in Chinese). | |
| [19] | 刘翱. 变邻域搜索分布估计算法求解舰载机保障作业调度问题[J]. 系统科学与数学, 2024, 44(2): 391-407. |
| LIU A. On the carrier-based aircraft deck operation scheduling problem solved by variable neighborhood search-based estimation of distribution algorithm[J]. Journal of Systems Science and Mathematical Sciences, 2024, 44(2): 391-407 (in Chinese). | |
| [20] | 李梦龙, 余明晖. 基于改进禁忌搜索算法的舰载机保障作业调度[J]. 中国舰船研究, 2018, 13(5): 132-138. |
| LI M L, YU M H. Carrier-based aircraft support operation scheduling based on improved tabu search algorithm[J]. Chinese Journal of Ship Research, 2018, 13(5): 132-138 (in Chinese). | |
| [21] | 孟杨凯, 王正, 范加利.基 于禁忌算法对不确定性舰载机保障的调度优化研究[J]. 系统仿真学报, 2021, 33(10): 2363-2371. |
| MENG Y K, WANG Z, FAN J L. Scheduling optimization research based on tabu algorithm for uncertainty carrier aircraft support[J]. Journal of System Simulation, 2021, 33(10): 2363-2371 (in Chinese). | |
| [22] | 刘小路, 杨春辉, 崔荣伟, 等. 基于改进差分进化算法的舰面保障作业优化[J]. 海军航空大学学报, 2022, 37(4): 354-360. |
| LIU X L, YANG C H, CUI R W, et al. Optimization of flight deck operation scheduling based on modified differential evolution algorithm[J]. Journal of Naval Aviation University, 2022, 37(4): 354-360 (in Chinese). | |
| [23] | 蒋婷婷, 韩维, 苏析超. 基于改进DE算法的舰载机保障调度优化[J]. 计算机仿真, 2018, 35(10): 51-56. |
| JIANG T T, HAN W, SU X C. Optimization of carrier aircraft support scheduling based on improved DE algorithm[J]. Computer Simulation, 2018, 35(10): 51-56 (in Chinese). | |
| [24] | WANG X, WANG S, LIANG X X, et al. Deep reinforcement learning: a survey[J]. IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(4): 5064-5078. |
| [25] | 陈伟, 李璐璐, 陈董, 等. 差异化保障需求驱动的舰载机多机协同决策方法[J]. 航空学报, 2025, 46(13): 531274. |
| CHEN W, LI L L, CHEN D, et al. Multi-aircraft cooperative decision-making methods driven by differentiated support demands for carrier-based aircraft[J]. Acta Aeronautica et Astronautica Sinica,2025,46(13):531274 (in Chinese). | |
| [26] | 罗祎喆, 张辉, 余新得, 等. 面向舰载机多波次弹药保障任务的分层动态调度[J]. 航空学报, 2025, 46(18): 531945. |
| LUO Y Z, ZHANG H, YU X D, et al. Hierarchical dynamic scheduling for multi-wave carrier-based aircraft ammunition support missions[J]. Acta Aeronautica et Astronautica Sinica, 2025, 46(18): 531945 (in Chinese). | |
| [27] | 陈旭东, 陈琦琦, 罗祎喆, 等. 异构舰载机舰面保障作业动态并行调度[J]. 航空学报, 2025, 46(13): 531329. |
| CHEN X D, CHEN Q Q, LUO Y Z, et al. Dynamic parallel scheduling of heterogeneous carrier-based aircraft deck support operations[J]. Acta Aeronautica et Astronautica Sinica, 2025, 46(13): 531329 (in Chinese). | |
| [28] | 黄珈其, 郭宏伟, 杨帅, 等. 航空保障作业两阶段动态调度方法研究[J/OL]. 北京航空航天大学学报, (2024-08-30)[2025-11-11].. |
| HUANG J Q, GUO H W, YANG S, et al. Research on the two-stage dynamic scheduling method for aviation support operations[J/OL].Jounal of Beijing University of Aeronautics and Astronautics, (2024-08-30)[2025-11-11]. (in Chinese). | |
| [29] | 刘广, 王华, 林友芳, 等. 舰载机保障作业自适应批量匹配决策方法[J]. 航空学报, 2025, 46(1): 230615. |
| LIU G, WANG H, LIN Y F, et al. Adaptive batch matching decision method for carrier-based aircraft support operations[J]. Acta Aeronautica et Astronautica Sinica, 2025, 46(1): 230615 (in Chinese). | |
| [30] | FENG H F, ZENG W. Deep reinforcement learning for carrier-borne aircraft support operation scheduling[C]∥2021 International Conference on Intelligent Computing, Automation and Applications (ICAA). Piscataway:IEEE Press, 2021: 929-935. |
| [31] | 李亚飞, 吴庆顺, 徐明亮, 等. 基于强化学习的舰载机保障作业实时调度方法[J]. 中国科学: 信息科学, 2021, 51(2): 247-262. |
| Li Y F, Wu Q S, Xu M L, et al. Real-time scheduling for carrier-borne aircraft support operations: a reinforcement learning approach[J]. Scientia Sinica Informationis, 2021, 51(2): 247-262 (in Chinese). | |
| [32] | HAO H J, Zhang X Q, CHI Y, et al. Cooperative carrier aircraft support operation scheduling via multi-agent reinforcement learning[C]∥2023 24th IEEE International Conference on Mobile Data Management (MDM). Piscataway: IEEE Press, 2023: 297-302. |
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