A Multiagent Evolutionary Algorithm for Minimizing Network Coding Resource in Dynamic Environment
Authors
Fuhong Song, Huanlai Xing, Zhimin Xia, Yingjie Wang, Shili He, Xingxue Zhou, Yu Zhang
Corresponding Author
Fuhong Song
Available Online August 2016.
- DOI
- 10.2991/icmeit-16.2016.59How to use a DOI?
- Keywords
- Network coding, dynamic network environment, multiagent evolutionary algorithm.
- Abstract
This paper investigates the network coding resource minimization problem in the context ofdynamic network environment.As a combination of multiagent systems and evolutionary algorithm, multiagent evolutionary algorithm (MAEA) is adapted for the above NP-hard problem. Simulation results demonstrate that the proposed MAEA outperforms a number of state-of-the-art evolutionary algorithms with respect to the solutionquality.
- 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 - Fuhong Song AU - Huanlai Xing AU - Zhimin Xia AU - Yingjie Wang AU - Shili He AU - Xingxue Zhou AU - Yu Zhang PY - 2016/08 DA - 2016/08 TI - A Multiagent Evolutionary Algorithm for Minimizing Network Coding Resource in Dynamic Environment BT - Proceedings of the 2016 International Conference on Mechatronics Engineering and Information Technology PB - Atlantis Press SP - 313 EP - 316 SN - 2352-5401 UR - https://doi.org/10.2991/icmeit-16.2016.59 DO - 10.2991/icmeit-16.2016.59 ID - Song2016/08 ER -