Proceedings of the 2016 International Conference on Mechatronics Engineering and Information Technology

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/).

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Volume Title
Proceedings of the 2016 International Conference on Mechatronics Engineering and Information Technology
Series
Advances in Engineering Research
Publication Date
August 2016
ISBN
10.2991/icmeit-16.2016.59
ISSN
2352-5401
DOI
10.2991/icmeit-16.2016.59How to use a DOI?
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  -