A New Adaptive Differential Evolution Algorithm Fused with Multiple Strategies for Robot Path Planning
Author:
Funder
Guangxi Science and Technology Program
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-023-08380-w.pdf
Reference61 articles.
1. Hewawasam, H.; Ibrahim, M.Y.; Appuhamillage, G.K.: Past, present and future of path-planning algorithms for mobile robot navigation in dynamic environments. IEEE Open J. Ind. Electron. Soc. 3, 353–365 (2022)
2. Zhang, T.-W.; Xu, G.-H.; Zhan, X.-S.; Han, T.: A new hybrid algorithm for path planning of mobile robot. J. Supercomput. 78(3), 4158–4181 (2022)
3. Li, C.; Huang, X.; Ding, J.; Song, K.; Lu, S.: Global path planning based on a bidirectional alternating search a* algorithm for mobile robots. Comput. Ind. Eng. 168, 108123 (2022)
4. Xu, X.; Cai, P.; Ahmed, Z.; Yellapu, V.S.; Zhang, W.: Path planning and dynamic collision avoidance algorithm under colregs via deep reinforcement learning. Neurocomputing 468, 181–197 (2022)
5. Abdulsaheb, J.A.; Kadhim, D.J.: Classical and heuristic approaches for mobile robot path planning: A survey. Robotics 12(4), 93 (2023)
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