@inproceedings{5bb3fc408e764fee825a9407c54b543e,
title = "Fuzzy path planning of unmanned underwater vehicle based on adaptive fireworks algorithm optimization",
abstract = "Aiming at the typical problem of unmanned underwater vehicle (UAV) path planning, this paper proposes a fuzzy optimization algorithm based on adaptive fireworks. Firstly, the track performance index with a multi-objective fuzzy optimization strategy based on energy consumption and buoy threat was established. Then, the adaptive fireworks search algorithm was used for track planning. Finally, three groups of simulation and comparison experiments with different levels of complex environment were carried out. The results showed that the fuzzy optimization algorithm based on adaptive fireworks can effectively solve the multi-objective fuzzy optimization problem. The method proposed in this paper provided a useful reference for unmanned underwater vehicle path planning.",
keywords = "Adaptive fireworks algorithm, Fuzzy optimization, Path planning, Unmanned underwater vehicle",
author = "Y. Ma and Meng, {X. Y.} and Mao, {Z. Y.} and Yu, {S. Z.} and J. Qin and Ding, {W. J.} and Yang, {H. D.} and Y. Ma",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019 ; Conference date: 22-11-2019 Through 24-11-2019",
year = "2019",
month = nov,
doi = "10.1109/ICUSAI47366.2019.9124876",
language = "英语",
series = "2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "33--38",
booktitle = "2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019",
}
