AUV Path Planning Based on Improved Ant Colony Algorithm
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-4554-2_8
Reference7 articles.
1. Deng W, Xu J, Zhao H (2019) An Improved ant colony optimization algorithm based on hybrid strategies for scheduling problem. IEEE Access 7:20281–20292
2. Li J, Wang H (2020) Research on AUV path planning based on improved ant colony algorithm. In: 2020 IEEE international conference on mechatronics and automation (ICMA). IEEE
3. Ma YN, Gong YJ, Xiao CF, Gao Y, Zhang J (2018) Path planning for autonomous underwater vehicles: an ant colony algorithm incorporating alarm pheromone. IEEE Trans Veh Technol (1):141–154
4. Sun X, Zhang K, Ma M (2017) Multi-population ant colony algorithm for virtual machine deployment. IEEE Access 5:27014–27022
5. Xu M, You X, Liu S (2017) A novel Heuristic communication heterogeneous dual population ant colony optimization algorithm. IEEE Access 5:18506–18515
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