Research on the Applications of Genetic Algorithm and Fuzzy Clustering Methodology for the Enhancement of Computer Network Reliability

DOI

10.2991/iemb-15.2015.33How to use a DOI?

Keywords

Genetic Algorithm; Fuzzy Clustering; Computer Network Reliability; Optimization.

Abstract

In this paper, we research on the applications of genetic algorithm and fuzzy clustering methodology for the enhancement of computer network reliability. With the coming of information age, the application of computer network and its influence scope expands unceasingly, in order to ensure the reliability of computer network operation, the negative interference from the outside world, enhance the computer network reliability become the focus of widespread attention from all walks of life. Our method performs well compared with other state-of-the-art algorithms. In the recent future, we plan to conduct more related research to polish the method.

Copyright

© 2015, 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  - Wang Rong
AU  - Rao Bin
PY  - 2015/09
DA  - 2015/09
TI  - Research on the Applications of Genetic Algorithm and Fuzzy Clustering Methodology for the Enhancement of Computer Network Reliability
BT  - Proceedings of the 2015 Conference on Informatization in Education, Management and Business
PB  - Atlantis Press
SP  - 166
EP  - 170
SN  - 2352-5398
UR  - https://doi.org/10.2991/iemb-15.2015.33
DO  - 10.2991/iemb-15.2015.33
ID  - Rong2015/09
ER  -