Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

Research on Reliability Optimization Calculation of Computer Network Based on Genetic Algorithm

Authors
Yana Zhang, Xin Cao
Corresponding Author
Yana Zhang
Available Online March 2016.
DOI
10.2991/icmmct-16.2016.19How to use a DOI?
Keywords
Genetic algorithm; Reliability; Computer network; Optimization; Simulation
Abstract

To decrease network link cost is one of the most important paimsrs for computer network reliability optimization design. In order to make the network cost minimum, the network link medium cost, mathematics mode of reliability and resolve algorithm must be considered when it is designed. In the paper, we present a genetic algorithm used in optimization calculation for minimizing total link-cost and increasing the reliability of the network. Executive procedures of the algorithm are described. The simulation results show that genetic algorithm provides a method to resolves the network reliability optimization problem which normal approach can not resolve. By using the maneuverable algorithm, optimization process is accelerated, efficiency is increased.

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 4th International Conference on Machinery, Materials and Computing Technology
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-165-0
ISSN
2352-5401
DOI
10.2991/icmmct-16.2016.19How 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  - Yana Zhang
AU  - Xin Cao
PY  - 2016/03
DA  - 2016/03
TI  - Research on Reliability Optimization Calculation of Computer Network Based on Genetic Algorithm
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 97
EP  - 102
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.19
DO  - 10.2991/icmmct-16.2016.19
ID  - Zhang2016/03
ER  -