Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

A evolutionary algorithm for QoS routing under uncertain parameters

Authors
Fanguo He1, Huan Qi, Qiong Fan
1Institute of Systems Engineering, Huazhong University of Science & Technology
Corresponding Author
Fanguo He
Available Online October 2007.
DOI
https://doi.org/10.2991/iske.2007.218How to use a DOI?
Keywords
Fuzzy set; QOS routing; Evolutionary algorithm; Multi- objective optimization
Abstract

In the actual network the information collected through routing protocols is uncertain with the expansion of network size and complexity. In this paper, the QOS routing problem is investigated in the networks environment with uncertain parameters. The fuzzy set theory is used to define the relationship between two fuzzy numbers, and construct a QOS routing model of multi-objective optimization. A multi-objective evolutionary algorithm (MOEA) is utilized to solve the problem. Simulation shows the MOEA can provide an available approach to QoS routing in networks environment with uncertain parameters

Copyright
© 2007, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
978-90-78677-04-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/iske.2007.218How to use a DOI?
Copyright
© 2007, 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  - Fanguo He
AU  - Huan Qi
AU  - Qiong Fan
PY  - 2007/10
DA  - 2007/10
TI  - A evolutionary algorithm for QoS routing under uncertain parameters
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 1281
EP  - 1285
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.218
DO  - https://doi.org/10.2991/iske.2007.218
ID  - He2007/10
ER  -