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

Research on Routing Choice of Computer Network Based on Improved Quantum Evolutionary Algorithm

Authors
Xin Cao, Yana Zhang
Corresponding Author
Xin Cao
Available Online March 2016.
DOI
https://doi.org/10.2991/icmmct-16.2016.18How to use a DOI?
Keywords
Improved quantum evolutionary algorithm; Rotation angle optimization; Routing; Computer network
Abstract
According to the problem of poor optimization performance and convergence performance of the current computer network’s optimal routing algorithm, this paper puts forward the improved quantum evolutionary algorithm based on computer network routing. On the basis of traditional quantum evolutionary algorithm, this algorithm adjusts and optimizes the rotation Angle, speeds up the search speed, and improves the accuracy of optimization, also according to the quadrant of the qubits’s space and phase Angle, this algorithm adjusts and optimizes the direction of rotation angle. Algorithm simulation results show that the proposed improved quantum evolutionary algorithm based on computer network routing shows a better optimization and convergence ability in computer network’s routing choice than the traditional quantum evolutionary algorithm.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2016 4th International Conference on Machinery, Materials and Computing Technology
Part of series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-165-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/icmmct-16.2016.18How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xin Cao
AU  - Yana Zhang
PY  - 2016/03
DA  - 2016/03
TI  - Research on Routing Choice of Computer Network Based on Improved Quantum Evolutionary Algorithm
BT  - 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 91
EP  - 96
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.18
DO  - https://doi.org/10.2991/icmmct-16.2016.18
ID  - Cao2016/03
ER  -