Network Repair Strategy Based on the Failure of Airline

DOI

10.2991/iceeecs-16.2016.100How to use a DOI?

Keywords

Airline network; Network repair; Capacitated constraint; Network optimization; Particle swarm algorithm

Abstract

Contraposing to the network repair problem of airline network after edge failure, an optimization model was proposed based on network repair study and hub airline network theory. The model regarded the best performance under certain cost as the objective function. And it satisfied different requirements by giving different weights. The model considerated the cost caused by distance and congestion. The network efficiency was selected as measurement for performance. The model was solved by improved particle swarm optimization. At last, taking the airline between Hang zhou and Xian yang as an example, a simulation was conducted to verify the model. The experimental result shows that capacity decision coefficient can control the cost well caused by congestion through changing the node capacity, which can affect the allocation method of traffic and has an influential effect on network survivability. What's more, the model can well adjust the balance between cost and network performance. The model has a good application prospect.

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  - Yuxiang Zhang
AU  - Minggong Wu
AU  - Xiaorong Wang
AU  - Xiangxi Wen
PY  - 2016/12
DA  - 2016/12
TI  - Network Repair Strategy Based on the Failure of Airline
BT  - Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SP  - 485
EP  - 491
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.100
DO  - 10.2991/iceeecs-16.2016.100
ID  - Zhang2016/12
ER  -