Open Access
| Issue |
E3S Web Conf.
Volume 626, 2025
International Conference on Energy, Infrastructure and Environmental Research (EIER 2025)
|
|
|---|---|---|
| Article Number | 04001 | |
| Number of page(s) | 6 | |
| Section | Computational Technologies in Electrical and Energy Systems | |
| DOI | https://doi.org/10.1051/e3sconf/202562604001 | |
| Published online | 15 April 2025 | |
- Y. Yang, X. Xiong, Y. Yan, Uav formation trajectory planning algorithms: A review, Drones 7, 62 (2023). [CrossRef] [Google Scholar]
- B. López, J. Muñoz, F. Quevedo, C.A. Monje, S. Garrido, L.E. Moreno, Path planning and collision risk management strategy for multi-uav systems in 3d environments, Sensors 21, 4414 (2021). [CrossRef] [PubMed] [Google Scholar]
- E. D’Amato, M. Mattei, I. Notaro, Bi-level flight path planning of uav formations with collision avoidance, Journal of Intelligent & Robotic Systems 93, 193 (2019). https://doi.org/10.1007/s10846-014-0077-y [CrossRef] [Google Scholar]
- J. Huang, W. Sun, A method of feasible trajectory planning for uav formation based on bi-directional fast search tree, Optik 221, 165213 (2020). [CrossRef] [Google Scholar]
- Z. Pan, C. Zhang, Y. Xia, H. Xiong, X. Shao, An improved artificial potential field method for path planning and formation control of the multi-uav systems, IEEE Transactions on Circuits and Systems II: Express Briefs 69, 1129 (2021). [Google Scholar]
- V. Roberge, M. Tarbouchi, G. Labonté, Fast genetic algorithm path planner for fixed-wing military uav using gpu, IEEE Transactions on Aerospace and Electronic Systems 54, 2105 (2018). [CrossRef] [Google Scholar]
- H. Song, M. Jia, Y. Lian, Y. Fan, K. Liang, Uav path planning based on an improved ant colony algorithm, Journal of Electronic Research and Application 6, 10 (2022). [CrossRef] [Google Scholar]
- V.T. Hoang, M.D. Phung, H.D. Tran, Q.P. Ha, AngleEncoded Swarm Optimization for UAV Formation Path Planning, in Intelligent Robots and Systems (IROS), 2018 IEEE/RSJ International Conference on (IEEE, 2018), pp. 5239–5244 [Google Scholar]
- A. Ait Saadi, A. Soukane, Y. Meraihi, A. Benmessaoud Gabis, S. Mirjalili, A. Ramdane-Cherif, Uav path planning using optimization approaches: A survey, Archives of Computational Methods in Engineering 29, 4233 (2022). [CrossRef] [Google Scholar]
- R.V. Rao, V.J. Savsani, D. Vakharia, Teaching– learning-based optimization: a novel method for constrained mechanical design optimization problems, Computer-aided design 43, 303 (2011). [CrossRef] [Google Scholar]
- A. Majumder, A. Majumder, R. Bhaumik, Teaching– learning-based optimization algorithm for path planning and task allocation in multi-robot plant inspection system, Arabian Journal for Science and Engineering 46, 8999 (2021). [CrossRef] [Google Scholar]
- A.D. Sabiha, M.A. Kamel, E. Said, W.M. Hussein, Real-time path planning for autonomous vehicle based on teaching–learning-based optimization, Intelligent Service Robotics 15, 381 (2022). [CrossRef] [Google Scholar]
- V.T. Hoang, M.D. Phung, Enhanced TeachingLearning-Based Optimization for 3D Path Planning of Multicopter UAVs, in International Conference on Advanced Mechanical Engineering, Automation and Sustainable Development (Springer, 2021), pp. 743–753 [Google Scholar]
- H. Van Truong, D. Van Hoa, H.T. Thang, Path planning for multi-copter uavs using tutorial training and self learning inspired teaching-learning-based optimization, Journal of Military Science and Technology 87, 32 (2023). [CrossRef] [Google Scholar]
- Q. Niu, H. Zhang, K. Li, An improved tlbo with elite strategy for parameters identification of pem fuel cell and solar cell models, International journal of hydrogen energy 39, 3837 (2014). [CrossRef] [Google Scholar]
- R. Rao, V. Patel, An elitist teaching-learning-based optimization algorithm for solving complex constrained optimization problems, international journal of industrial engineering computations 3, 535 (2012). [CrossRef] [Google Scholar]
- V.T. Hoang, M.D. Phung, Q.P. Ha, Adaptive Twisting Sliding Mode Control for Quadrotor Unmanned Aerial Vehicles, in Proc. Asian Control Conf., ASCC 2017 (2017), pp. 671–676 [Google Scholar]
- V.T. Hoang, M.D. Phung, T.H. Dinh, Q.P. Ha, System architecture for real-time surface inspection using multiple uavs, IEEE Systems Journal 14, 2925 (2020). [CrossRef] [Google Scholar]
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