Proceedings of the 5th International Conference on Information Engineering for Mechanics and Materials

Optimal Network Topology Based on Natural Connectivity and Improved Genetic Algorithm

Authors
Lei Ming, Guoqiang Yan
Corresponding Author
Lei Ming
Available Online July 2015.
DOI
10.2991/icimm-15.2015.211How to use a DOI?
Keywords
Natural Connectivity; Genetic Algorithm; Cloud Mode
Abstract

Invulnerability study is an important research content of complex network. On the basis of analysis and comparison of other traditional inadequate measurements of invulnerability, natural connectivity was used as the invulnerability measurement of network topology and an optimal network topology model based on natural connectivity has been proposed. Based on the basic idea of genetic algorithms, we designed an improved algorithm based on genetic algorithm and cloud mode to solve the model. Simulation experiments analyzed the invulnerability changes before and after the network topology optimization and verified the rationality of network topology optimization model and algorithm.

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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Volume Title
Proceedings of the 5th International Conference on Information Engineering for Mechanics and Materials
Series
Advances in Engineering Research
Publication Date
July 2015
ISBN
10.2991/icimm-15.2015.211
ISSN
2352-5401
DOI
10.2991/icimm-15.2015.211How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Lei Ming
AU  - Guoqiang Yan
PY  - 2015/07
DA  - 2015/07
TI  - Optimal Network Topology Based on Natural Connectivity and Improved Genetic Algorithm
BT  - Proceedings of the 5th International Conference on Information Engineering for Mechanics and Materials
PB  - Atlantis Press
SP  - 1175
EP  - 1181
SN  - 2352-5401
UR  - https://doi.org/10.2991/icimm-15.2015.211
DO  - 10.2991/icimm-15.2015.211
ID  - Ming2015/07
ER  -