UAV Path Planning Based on Enhanced PSO-GA
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9119-8_25
Reference17 articles.
1. Gao, X., Zhu, X., Zhai, L.: Minimization of aerial cost and mission completion time in multi-UAV-enabled iot networks. IEEE Trans. Commun. (2023)
2. Liu, Y., Chen, B., Zhang, X., Li, R.: Research on the dynamic path planning of manipulators based on a grid-local probability road map method. IEEE Access 9, 101186–101196 (2021)
3. Li, Z., You, K., Sun, J., Song, S.: Fast trajectory planning for dubins vehicles under cumulative probability of radar detection. Signal Process. 210, 109085 (2023)
4. Wang, J., Meng, M.Q.H., Khatib, O.: Eb-rrt: optimal motion planning for mobile robots. IEEE Trans. Autom. Sci. Eng. 17(4), 2063–2073 (2020)
5. Chen, Y., Bai, G., Zhan, Y., Hu, X., Liu, J.: Path planning and obstacle avoiding of the USV based on improved ACO-APF hybrid algorithm with adaptive early-warning. IEEE Access 9, 40728–40742 (2021)
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