Cooperative Path Planning Algorithm of UAV in Urban Environment Based on Improved Pigeon Swarm Algorithm

Author:

Wang BohangORCID,Zhao Yangyang,Li Rui,Jing Luqi,Liu Zhong

Publisher

Springer Nature Singapore

Reference12 articles.

1. Yang, K., Sukkarieh, S.: Real-time continuous curvature path planning of UAVs in cluttered environments. In: Proceedings of the Conference on Mechatronics and Its Applications, pp. 50–64 (2008)

2. Jatmiko, W., Mursanto, P.: Modified PSO algorithm based on flow of wind for odor source localization problems in dynamic environments. In: Proceedings of the 3rd Indonesia Japan Joint Scientific Symposium, pp. 61–68 (2008)

3. Jolai, F., Asefi, H.: Bi-objective simulated annealing approaches for no wait two-stage flexible flow shop scheduling problem. Sci. Iran 20(3), 861–872 (2013)

4. Wu, X., Bai, W., Xie, Y.: A hybrid algorithm of particle swarm optimization, metropolis criterion and RTS smoother for path planning of UAVs. Appl. Soft Comput. 7(3), 735–747 (2018)

5. Li, S., Ding, M., Chao, C., et al.: Efficient path planning method based on genetic algorithm combining path network. In: Proceedings of the Fourth International Conference on Genetic and Evolutionary Computing, pp. 291–296 (2010)

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