Research on Routing Choice of Computer Network Based on Improved Quantum Evolutionary Algorithm
Xin Cao, Yana Zhang
Available Online March 2016.
- https://doi.org/10.2991/icmmct-16.2016.18How to use a DOI?
- Improved quantum evolutionary algorithm; Rotation angle optimization; Routing; Computer network
- According to the problem of poor optimization performance and convergence performance of the current computer networkâ€™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 qubitsâ€™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 networkâ€™s routing choice than the traditional quantum evolutionary algorithm.
- 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 - Proceedings of the 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 -