Proceedings of the 2017 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2017)

Alliance Formation of Unmanned Aerial Vehicle based on Holon

Authors
Bowen Han, Peiyang Yao
Corresponding Author
Bowen Han
Available Online March 2017.
DOI
10.2991/mecae-17.2017.3How to use a DOI?
Keywords
Alliance, Hybrid Bee Colony Algorithm, Multi-Objective Optimization.
Abstract

The assignment problem of the unmanned aerial vehicle (UAV) cluster to target group is analyzed based on the Holon theory. The formation process of the air fleet Holon alliance is the process of the unordered UAV cluster form into columns satisfying the tasks demand. The total task of the target group is decomposed into different types of sub tasks, defining the cluster resource redundancy index and the resource redundancy variance index according to the UAV resource capability and task resource requirement, a multi-objective optimization model of alliance formation is established.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2017)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
10.2991/mecae-17.2017.3
ISSN
2352-5401
DOI
10.2991/mecae-17.2017.3How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Bowen Han
AU  - Peiyang Yao
PY  - 2017/03
DA  - 2017/03
TI  - Alliance Formation of Unmanned Aerial Vehicle based on Holon
BT  - Proceedings of the 2017 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2017)
PB  - Atlantis Press
SP  - 15
EP  - 19
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecae-17.2017.3
DO  - 10.2991/mecae-17.2017.3
ID  - Han2017/03
ER  -