The Optimization of Chinese Air Route Network with Cooperative Coevolving PSO

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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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  -