Abstract
An improved algorithm based on the Grey Wolf optimizer (GWO) is addressed to generate the optimal path. Firstly, to use the optimization method to solve the path planning problem of UAV, the unconstrained path planning problem, and the constraints such as the no-fly area are abstracted as objective function and constraint function, respectively. Secondly, a penalty-based technique is applied to modify the extended cost function and the improved GWO is proposed to solve it. Finally, the result of digital simulation shows that the algorithm has good performance in the processing ability of constraint problems, convergence, and the robustness of globally optimal solutions.
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Jiang, W., Zhang, W., Shi, J. (2023). UAV Path Planning Based on Improved GWO Algorithm. In: Yan, L., Duan, H., Deng, Y. (eds) Advances in Guidance, Navigation and Control. ICGNC 2022. Lecture Notes in Electrical Engineering, vol 845. Springer, Singapore. https://doi.org/10.1007/978-981-19-6613-2_3
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DOI: https://doi.org/10.1007/978-981-19-6613-2_3
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Online ISBN: 978-981-19-6613-2
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