Temporary Commercial Network Programming for Beijing Olympic Games Based on Data Mining and Genetic Algorithms

Authors

  • Yan Chen The School of Management, Xi'an Jiaotong University
  • Jun Tian The School of Management, Xi'an Jiaotong University
  • Can Yang School of Computer Science & Engineering, South China University of Technology

Keywords:

commercial network programming, temporary supermarket, data mining, genetic algorithms.

Abstract

This paper is committed to the optimization of the temporary commercial network programming for the 2008 Beijing Olympics. It begins with the information extraction from the Assess database of questionnaire investigations based on data mining techniques including cluster analysis and mining of association rules. Based on the discovered knowledge, we calculate customer traffics and shopping demands of the twenty commercial sites and determine the reasonable construction scales of the 20 commercial sites. In order to reach the three objectives of the programming work—meeting shopping demand, balanced distribution, and making profits—we design an optimization model based on genetic algorithms to optimize the construction scale of each site. Finally, a linear programming model is proposed for choosing the appropriate type and corresponding number of supermarket for each of the 20 sites. All the methods in this paper are innovative tools for the quantitative analysis tasks of the decision-making jobs related to the temporary commercial network of the Beijing Olympic Games.

Author Biographies

Yan Chen, The School of Management, Xi'an Jiaotong University

Yan Chen received the Bachelor of Engineering degree from The School of Computer Science and Engineering, South China University of Technology, Guangzhou, China, in 2006. He is now a graduate student at The School of Management, Xi'an Jiaotong University, Xi'an, China. His research interests lie in business intelligence and management information systems.

Jun Tian, The School of Management, Xi'an Jiaotong University

Jun Tian received the Ph.D degree from Tianjin University, Tianjin, China, in 1998. He is the Associate Professor at the School of Management, Xi'an Jiaotong University, Xi'an, China. His research interests are genetic algorithms, artificial neural networks, and decision support systems.

Can Yang, School of Computer Science & Engineering, South China University of Technology

Can Yang received the Ph.D. degree from Huazhong University of Science and Technology, Wuhan, China, in 2002. He is the Associate Professor at the School of Computer Science & Engineering, South China University of Technology, Guangzhou, China. His research interests are Information Systems and Distributed Computing System.

Published

2007-07-31

How to Cite

Chen, Y., Tian, J., & Yang, C. (2007). Temporary Commercial Network Programming for Beijing Olympic Games Based on Data Mining and Genetic Algorithms. Proceedings of the 51st Annual Meeting of the ISSS - 2007, Tokyo, Japan, 51(2). Retrieved from https://journals.isss.org/index.php/proceedings51st/article/view/537

Issue

Papers: 51st Annual Meeting

Section

Information Systems Design and Information Technology