Quantum Algorithm for the Choice for the Site of the Public Transport Station Problem in Cloud Computing Environment

Gui Ying Mai; Yue Guang Li

doi:10.4028/www.scientific.net/AMR.718-720.2030

Paper Titles

Application of 3 "S" Technologies in Information Extraction of Nuclear Leakage Accident
p.2011

Wavefront Sensing by Digital Holography in Optical Sparse Aperture Imaging System
p.2015

Study on the Length Identification System of Steel Tape Based on LabVIEW Image Processing
p.2021

An Improved BP Algorithm and its Application
p.2026

Quantum Algorithm for the Choice for the Site of the Public Transport Station Problem in Cloud Computing Environment
p.2030

Some Implementation of MATITK on Medical Image Processing
p.2035

Performance Assessment on Vertical Stripes of Red, Green, and Blue
p.2045

Image Quality Evaluation on Modified Bayer CFA
p.2050

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 718-720Quantum Algorithm for the Choice for the Site of...

Quantum Algorithm for the Choice for the Site of the Public Transport Station Problem in Cloud Computing Environment

Abstract:

In this paper, according to the characteristics and influence factors of the site of the public transport station problem, a mathematical model of the urban public transport station problem was established. Cloud computing and Quantum Algorithm was used to solve the model, with Hezuo city of Gansu Province as example, the algorithm was experimented and the experimental results show that the algorithm can acquire the optimal solution that is accord with the practice, moreover, the algorithm has much more practical.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 718-720)

Pages:

2030-2034

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.718-720.2030

Citation:

Cite this paper

Online since:

July 2013

Authors:

Gui Ying Mai, Yue Guang Li

Keywords:

Lanzhou City, Mathematical Models, Quantum Algorithm, Site of Urban Public Transport Station

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Wang Lin, Chen Dapeng. Analysis and Fuzzily Appraisement of the Choice for the Site of the Public Transport. Technology & Economy in Area of Communications. 2009(1):43-45.

Google Scholar

[2] Rao Shaoyang. Cloud close [J]. Information network, 2008 ( 8): 5-9.

Google Scholar

[3] <http://googleappengine.blogspot.com,2008-04-07/2008-06-28>.

Google Scholar

[4] IBM. IBM Introduces Ready-to-Use Cloud Computing[EB/OL].<http://www-03.ibm.com/press/us/en/pressrelease/22613.wss,2007-11-15//2008-06-2>.

Google Scholar

[5] Qi Jinhua. Cloud computing: Grid computing: 2.0. [EB/OL].<http://www.cnw.com.cn/cnw07/ServerStorage/Datacenter/htm2007/2007112328216.shtml,2007-11-23/2008-06-26>.

Google Scholar

[6] Rising "cloud plan, in order to your network security "[EB/OL].http://it.rising . com . cn / new2008 / Safety / NewsInfo / 2008 - 07 - 21 /1216607392d48564.shtml2008-07-16/2008-12-20>.

Google Scholar

[7] Hokey Min, Vaidyanathan Jayaraman, Rajesh Srivastava. Combined Location Routing Problems. European Journal of Operational Research.1, 1-15(1998).

Google Scholar

[8] Dean J, Ghemawat S. Map Reduce: simplified data processing on large clusters[C]//Proceedings of the 6th Symposium on Operating System Design and Implementation. New York: ACM, 137-150(2004).

Google Scholar

[9] Xin Zhanhong. Postman delivery problem in big city and its algorithm. Journal of Beijing University of posts and telecommunications, 17, 78-82 (1994).

Google Scholar

[10] The CLOUDS Lab. Gridsim[EB/OL]. [2010-06-25]. http: //www. cloudbus. org/gridsim /.

Google Scholar