PSO Based UAV Online Path Planning Algorithms-Reference-Cited by-同舟云学术

PSO Based UAV Online Path Planning Algorithms

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2017 International Conference on Automation, Control and Robots - ICACR 2017
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Author:

Ou Xiaoyu¹,Liu Yang²,Zhao Yijing²

Affiliation:

1. Vocational Education Center, Dianjiang, Chongqing, China

2. Automatic Control Department, Beihang University

Publisher

ACM Press

Reference13 articles.

1. Geng, Q. and Zhao, Z. 2013. A kind of route planning method for UAV based on improved PSO algorithm. 25th Chinese Control and Decision Conference (CCDC), 2328--2331.

2. Haupt, R. L. and Haupt, S. E. 2004. Practical genetic algorithms. John Wiley & Sons.

3. Fu, Y., Ding, M., Zhou, C. and Hu, H. 2013. Route planning for unmanned aerial vehicle (UAV) on the sea using hybrid differential evolution and quantum-behaved particle swarm optimization. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 43(6), 1451--1465.

4. Sun, T. Y., Huo, C. L., Tsai, S. J. and Liu, C. C. 2008, June. Optimal UAV flight path planning using skeletonization and particle swarm optimizer. IEEE World Congress on Computational Intelligence, 1183--1188.

5. Fu, Y., Ding, M. and Zhou, C. 2012. Phase angle-encoded and quantum-behaved particle swarm optimization applied to three-dimensional route planning for UAV. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 42(2), 511--526.

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