Formation reconfiguration based on distributed cooperative coevolutionary for multi-UAV

Xueyuan Li; Xuejun Zhang; Huaxian Liu; Xiangmin Guan

doi:10.1109/WCICA.2016.7578599

Formation reconfiguration based on distributed cooperative coevolutionary for multi-UAV

Xueyuan Li
, Xuejun Zhang
, Huaxian Liu
, Xiangmin Guan

School of Electronic and Information Engineering

Beihang University
Civil Aviation Management Institute of China

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

7 Scopus citations

Abstract

Due to the discretization of the multi-UAV formation reconfiguration process, it is a high-dimensional optimization problem, resulting in the reduction of efficiency and effectiveness for traditional bio-inspired algorithms. In this paper, a distributed cooperative coevolutionary algorithm named DECCG-V is proposed to reduce the dimension of the problem. DECCG-V divides the control parameters which will be optimized into several subgroups, and this mechanism facilitates the UAVs' control inputs optimization fully distributed and in parallel. It can be concluded from the experiment that DECCG-V performs a better performance than the existing approach (PSO and DE).

Original language	English
Title of host publication	Proceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2308-2311
Number of pages	4
ISBN (Electronic)	9781467384148
DOIs	https://doi.org/10.1109/WCICA.2016.7578599
State	Published - 27 Sep 2016
Event	12th World Congress on Intelligent Control and Automation, WCICA 2016 - Guilin, China Duration: 12 Jun 2016 → 15 Jun 2016

Publication series

Name	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
Volume	2016-September

Conference

Conference	12th World Congress on Intelligent Control and Automation, WCICA 2016
Country/Territory	China
City	Guilin
Period	12/06/16 → 15/06/16

Access to Document

10.1109/WCICA.2016.7578599

Cite this

Li, X., Zhang, X., Liu, H., & Guan, X. (2016). Formation reconfiguration based on distributed cooperative coevolutionary for multi-UAV. In Proceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016 (pp. 2308-2311). Article 7578599 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); Vol. 2016-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCICA.2016.7578599

Li, Xueyuan ; Zhang, Xuejun ; Liu, Huaxian et al. / Formation reconfiguration based on distributed cooperative coevolutionary for multi-UAV. Proceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 2308-2311 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA)).

@inproceedings{2854197bbfc04222932162ec33673c58,

title = "Formation reconfiguration based on distributed cooperative coevolutionary for multi-UAV",

abstract = "Due to the discretization of the multi-UAV formation reconfiguration process, it is a high-dimensional optimization problem, resulting in the reduction of efficiency and effectiveness for traditional bio-inspired algorithms. In this paper, a distributed cooperative coevolutionary algorithm named DECCG-V is proposed to reduce the dimension of the problem. DECCG-V divides the control parameters which will be optimized into several subgroups, and this mechanism facilitates the UAVs' control inputs optimization fully distributed and in parallel. It can be concluded from the experiment that DECCG-V performs a better performance than the existing approach (PSO and DE).",

author = "Xueyuan Li and Xuejun Zhang and Huaxian Liu and Xiangmin Guan",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 12th World Congress on Intelligent Control and Automation, WCICA 2016 ; Conference date: 12-06-2016 Through 15-06-2016",

year = "2016",

month = sep,

day = "27",

doi = "10.1109/WCICA.2016.7578599",

language = "英语",

series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2308--2311",

booktitle = "Proceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016",

address = "美国",

}

Li, X, Zhang, X, Liu, H & Guan, X 2016, Formation reconfiguration based on distributed cooperative coevolutionary for multi-UAV. in Proceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016., 7578599, Proceedings of the World Congress on Intelligent Control and Automation (WCICA), vol. 2016-September, Institute of Electrical and Electronics Engineers Inc., pp. 2308-2311, 12th World Congress on Intelligent Control and Automation, WCICA 2016, Guilin, China, 12/06/16. https://doi.org/10.1109/WCICA.2016.7578599

Formation reconfiguration based on distributed cooperative coevolutionary for multi-UAV. / Li, Xueyuan; Zhang, Xuejun; Liu, Huaxian et al.
Proceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 2308-2311 7578599 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); Vol. 2016-September).

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

TY - GEN

T1 - Formation reconfiguration based on distributed cooperative coevolutionary for multi-UAV

AU - Li, Xueyuan

AU - Zhang, Xuejun

AU - Liu, Huaxian

AU - Guan, Xiangmin

PY - 2016/9/27

Y1 - 2016/9/27

N2 - Due to the discretization of the multi-UAV formation reconfiguration process, it is a high-dimensional optimization problem, resulting in the reduction of efficiency and effectiveness for traditional bio-inspired algorithms. In this paper, a distributed cooperative coevolutionary algorithm named DECCG-V is proposed to reduce the dimension of the problem. DECCG-V divides the control parameters which will be optimized into several subgroups, and this mechanism facilitates the UAVs' control inputs optimization fully distributed and in parallel. It can be concluded from the experiment that DECCG-V performs a better performance than the existing approach (PSO and DE).

AB - Due to the discretization of the multi-UAV formation reconfiguration process, it is a high-dimensional optimization problem, resulting in the reduction of efficiency and effectiveness for traditional bio-inspired algorithms. In this paper, a distributed cooperative coevolutionary algorithm named DECCG-V is proposed to reduce the dimension of the problem. DECCG-V divides the control parameters which will be optimized into several subgroups, and this mechanism facilitates the UAVs' control inputs optimization fully distributed and in parallel. It can be concluded from the experiment that DECCG-V performs a better performance than the existing approach (PSO and DE).

UR - https://www.scopus.com/pages/publications/84991628280

U2 - 10.1109/WCICA.2016.7578599

DO - 10.1109/WCICA.2016.7578599

M3 - 会议稿件

AN - SCOPUS:84991628280

T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

SP - 2308

EP - 2311

BT - Proceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 12th World Congress on Intelligent Control and Automation, WCICA 2016

Y2 - 12 June 2016 through 15 June 2016

ER -

Li X, Zhang X, Liu H, Guan X. Formation reconfiguration based on distributed cooperative coevolutionary for multi-UAV. In Proceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 2308-2311. 7578599. (Proceedings of the World Congress on Intelligent Control and Automation (WCICA)). doi: 10.1109/WCICA.2016.7578599

Formation reconfiguration based on distributed cooperative coevolutionary for multi-UAV

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this