Fuzzy path planning of unmanned underwater vehicle based on adaptive fireworks algorithm optimization

Y. Ma; X. Y. Meng; Z. Y. Mao; S. Z. Yu; J. Qin; W. J. Ding; H. D. Yang; Y. Ma

doi:10.1109/ICUSAI47366.2019.9124876

Fuzzy path planning of unmanned underwater vehicle based on adaptive fireworks algorithm optimization

Y. Ma
, X. Y. Meng
, Z. Y. Mao
, S. Z. Yu
, J. Qin
, W. J. Ding
, H. D. Yang
, Y. Ma

Unmanned System Research Institute

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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.

Original language	English
Title of host publication	2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	33-38
Number of pages	6
ISBN (Electronic)	9781728158594
DOIs	https://doi.org/10.1109/ICUSAI47366.2019.9124876
State	Published - Nov 2019
Event	2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019 - Xi'an, China Duration: 22 Nov 2019 → 24 Nov 2019

Publication series

Name	2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019

Conference

Conference	2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019
Country/Territory	China
City	Xi'an
Period	22/11/19 → 24/11/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Adaptive fireworks algorithm
Fuzzy optimization
Path planning
Unmanned underwater vehicle

Access to Document

10.1109/ICUSAI47366.2019.9124876

Cite this

Ma, Y., Meng, X. Y., Mao, Z. Y., Yu, S. Z., Qin, J., Ding, W. J., Yang, H. D., & Ma, Y. (2019). Fuzzy path planning of unmanned underwater vehicle based on adaptive fireworks algorithm optimization. In 2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019 (pp. 33-38). Article 9124876 (2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICUSAI47366.2019.9124876

Ma, Y. ; Meng, X. Y. ; Mao, Z. Y. et al. / Fuzzy path planning of unmanned underwater vehicle based on adaptive fireworks algorithm optimization. 2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 33-38 (2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019).

@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",

}

Ma, Y, Meng, XY, Mao, ZY, Yu, SZ, Qin, J, Ding, WJ, Yang, HD & Ma, Y 2019, Fuzzy path planning of unmanned underwater vehicle based on adaptive fireworks algorithm optimization. in 2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019., 9124876, 2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019, Institute of Electrical and Electronics Engineers Inc., pp. 33-38, 2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019, Xi'an, China, 22/11/19. https://doi.org/10.1109/ICUSAI47366.2019.9124876

Fuzzy path planning of unmanned underwater vehicle based on adaptive fireworks algorithm optimization. / Ma, Y.; Meng, X. Y.; Mao, Z. Y. et al.
2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 33-38 9124876 (2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Fuzzy path planning of unmanned underwater vehicle based on adaptive fireworks algorithm optimization

AU - Ma, Y.

AU - Meng, X. Y.

AU - Mao, Z. Y.

AU - Yu, S. Z.

AU - Qin, J.

AU - Ding, W. J.

AU - Yang, H. D.

AU - Ma, Y.

PY - 2019/11

Y1 - 2019/11

N2 - 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.

AB - 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.

KW - Adaptive fireworks algorithm

KW - Fuzzy optimization

KW - Path planning

KW - Unmanned underwater vehicle

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M3 - 会议稿件

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BT - 2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 22 November 2019 through 24 November 2019

ER -

Ma Y, Meng XY, Mao ZY, Yu SZ, Qin J, Ding WJ et al. Fuzzy path planning of unmanned underwater vehicle based on adaptive fireworks algorithm optimization. In 2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 33-38. 9124876. (2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019). doi: 10.1109/ICUSAI47366.2019.9124876

Fuzzy path planning of unmanned underwater vehicle based on adaptive fireworks algorithm optimization

Abstract

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UN SDGs

Keywords

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