IMPROVED PARTICLE SWARM ALGORITHM FOR COOPERATIVE MULTI-TASK ALLOCATION OF HETEROGENEOUS UAVs, 42-52. SI

Qilin Lu, Yu Chen, Xiaogang Qi, and Lifang Liu

References

  1. [1] H. Duan, J. Zhao, Y. Deng, Y. Shi, and X. Ding,Dynamic discrete pigeon-inspired optimization for multi-UAVcooperative search-attack mission planning, IEEE Transactionson Aerospace and Electronic Systems, 57(1), 2020, 706–720.
  2. [2] H. Liu, X. Li, G. Wu, M, Fan, R. Wang, L. Gao, and W. Pedrycz,An iterative two-phase optimization method based on divideand conquer framework for integrated scheduling of multipleUAVs, IEEE Transactions on Intelligent TransportationSystems, 22(9), 2020, 5926–5938.
  3. [3] F. Ye, J. Chen, Q. Sun, Y. Tian, and T. Jiang, Decentralizedtask allocation for heterogeneous multi-UAV system with taskcoupling constraints, The Journal of Supercomputing, 77(1),2021, 111–132.
  4. [4] N.H. Motlagh, M. Bagaa, and T. Taleb, Energy anddelay aware task assignment mechanism for UAV-based IoTplatform, IEEE Internet of Things Journal, 6(4), 2019,6523–6536.
  5. [5] H. Liu, X. Li, G. Wu, M. Fan, R. Wang, L. Gao, and W.Pedrycz, A review on linear and nonlinear control techniquesfor position and attitude control of a quadrotor, MechatronicSystems and Control, 45(1), 2017, 43–57.
  6. [6] L. Geng, Y.F. Zhang, J. Wang, J. Fuh, and S.H. Teo,Cooperative task planning for multiple unmanned aerialvehicles using a genetic algorithm, Mechatronic Systems andControl (formerly Control and Intelligent Systems), 42(2),2014, 119–225.
  7. [7] Z. Fu, Y. Mao, D. He, J. Yu, and G. Xie, Secure multi-UAV collaborative task allocation, IEEE Access, 7, 2019,35579–35587.51
  8. [8] H. Chen, Y. Nan, and Y. Yang, Multi-UAV reconnaissancetask assignment for heterogeneous targets based on modifiedsymbiotic organisms search algorithm, Sensors, 19(3), 2019,1–20.
  9. [9] O. Cheikhrouhou and I. Khoufi, A comprehensive surveyon the multiple traveling salesman problem: Applications,approaches and taxonomy, Computer Science Review, 40, 2021,1–19.
  10. [10] Y. Chen, D. Yang, and J. Yu, Multi-UAV task assignmentwith parameter and time-sensitive uncertainties using modifiedtwo-part wolf pack search algorithm, IEEE Transactions onAerospace and Electronic Systems, 54(6), 2018, 2853–2872.
  11. [11] A. Thibbotuwawa, G. Bocewicz, P. Nielsen, and Z. Banaszak,Unmanned aerial vehicle routing problems: A literature review,Applied Sciences, 10(13), 2020, 1–20.
  12. [12] J. Bernal, J.W. Escobar, and R. Linfati, A granular tabusearch algorithm for a real case study of a vehicle routingproblem with a heterogeneous fleet and time windows, Journalof Industrial Engineering and Management, 10(4), 2017,646–662.
  13. [13] E. Arribas, V. Mancuso, and V. Cholvi, Coverage optimizationwith a dynamic network of drone relays, IEEE Transactionson Mobile Computing, 19(10), 2019, 2278–2298.
  14. [14] J. Wang, P. Luo, X. Hu, and X. Zhang, Combining anextended SMAA-2 method with integer linear programming fortask assignment of multi-UCAV under multiple uncertainties,Symmetry, 10(11), 2018, 1–25.
  15. [15] D. Zhu, H. Huang, and S. Yang, Dynamic task assignmentand path planning of multi-AUV system based on an improvedself-organizing map and velocity synthesis method in three-dimensional underwater workspace, IEEE Transactions onCybernetics, 43(2), 2013, 504–514.
  16. [16] J. Zhang and J. Xing, Cooperative task assignment of multi-UAV system, Chinese Journal of Aeronautics, 33(11), 2020,2825–2827.
  17. [17] E.T. Alotaibi, S.S. Alqefari, and A. Koubaa, LSAR: Multi-UAVcollaboration for search and rescue missions, IEEE Access, 7,2019, 55817–55832.
  18. [18] S. Gao, J. Wu, and J. Ai, Multi-UAV reconnaissance taskallocation for heterogeneous targets using grouping ant colonyoptimization algorithm, Soft Computing, 25(10), 2021, 7155–7167.
  19. [19] Y. Xu, Z. Sun, X. Xue, W. Gu, and B. Pen, A hybrid algorithmbased on MOSFLA and GA for multi-UAVs plant protectiontask assignment and sequencing optimization, Applied SoftComputing, 96, 2020, 1–12.
  20. [20] C. Ramirez-Atencia and D. Camacho, Constrained multi-objective optimization for multi-UAV planning, Journal ofAmbient Intelligence and Humanized Computing, 10(6), 2019,2467–2484.
  21. [21] Q. Ning, G. Tao, B. Chen, Y. Lei, H. Yan, and C. Zhao, Multi-UAVs trajectory and mission cooperative planning based onthe Markov model, Physical Communication, 35, 2019, 1–32.
  22. [22] W. Wu and Y. Wei, Guiding unmanned aerial vehicle pathplanning design based on improved ant colony algorithm,Mechatronic Systems and Control, 49(1), 2021, 48–54.
  23. [23] Y. Zeng and R. Zhang, Energy-efficient UAV communicationwith trajectory optimization, IEEE Transactions on WirelessCommunications, 16(6), 2017, 3747–3760.
  24. [24] M. Zhao, X. Su, and P. Ma, A unified modeling methodof UAVs cooperative target assignment by complex multi-constraint conditions, Acta Automatica Sinica, 38(12), 2012,2038–2048.
  25. [25] R. Zhang, Y. Feng, and Y. Yang, Hybrid particle swarmalgorithm for multi-UAV cooperative task allocation, ActaAeronautica et Astronautica Sinica (in Chinese), 43(12), 2022,326011.
  26. [26] Z. Zhu, B. Tang, and J. Yuan, Multirobot task allocationbased on an improved particle swarm optimization approach,International Journal of Advanced Robotic Systems, 14(3),2017, 1–22.

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