Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)

The Optimization of Chinese Air Route Network with Cooperative Coevolving PSO

Authors
Yanan Miao, Chen Hong, Jing Fang
Corresponding Author
Yanan Miao
Available Online September 2016.
DOI
10.2991/icence-16.2016.74How to use a DOI?
Keywords
Particle Swarm Optimization; Cooperative Coevolution; Air Route Network Optimization
Abstract

With the rapid development of Chinese air transportation, the performance of the Chinese air route network (ARN) becomes more and more important. Since the location of air route waypoints (ARWs) is crucial for the performance of ARN, we propose an ARW optimization model in this paper. In the model, the cooperative coevolving particle swarm optimization (CCPSO) is adopted to optimize the location of ARWs. The simulation results show that CCPSO can effectively decrease the total flight conflict coefficient and improve the performance of the Chinese ARN. Our work will be helpful to better understand and optimize the Chinese air route network.

Copyright
© 2016, 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 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
Series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-229-9
ISSN
2352-538X
DOI
10.2991/icence-16.2016.74How to use a DOI?
Copyright
© 2016, 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  - Yanan Miao
AU  - Chen Hong
AU  - Jing Fang
PY  - 2016/09
DA  - 2016/09
TI  - The Optimization of Chinese Air Route Network with Cooperative Coevolving PSO
BT  - Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
PB  - Atlantis Press
SP  - 382
EP  - 386
SN  - 2352-538X
UR  - https://doi.org/10.2991/icence-16.2016.74
DO  - 10.2991/icence-16.2016.74
ID  - Miao2016/09
ER  -