A evolutionary algorithm for QoS routing under uncertain parameters
Fanguo He1, Huan Qi, Qiong Fan
1Institute of Systems Engineering, Huazhong University of Science & Technology
Available Online October 2007.
- 10.2991/iske.2007.218How to use a DOI?
- Fuzzy set; QOS routing; Evolutionary algorithm; Multi- objective optimization
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
- © 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 - 10.2991/iske.2007.218 ID - He2007/10 ER -