Volume 6 Number 3 (Mar. 2011)
Home > Archive > 2011 > Volume 6 Number 3 (Mar. 2011) >
JSW 2011 Vol.6(3): 436-443 ISSN: 1796-217X
doi: 10.4304/jsw.6.3.436-443

An Improved Immune Genetic Algorithm for the Optimization of Enterprise Information System based on Time Property

Chaogai Xue1, Lili Dong1, Guohua Li2
1Department of Management Engineering, Zhengzhou University, Zhengzhou, 450001, China
2School of Information Engineering, Zhengzhou University, Zhengzhou, 450001, China


Abstract—In order to optimize enterprise information system’s structure and improve its performance, this paper deals with the structure optimization problem based on an improved immune genetic algorithm (IIGA). First, a new immune genetic algorithm (IGA) is proposed, i.e., IIGA, which can overcome traditional genetic algorithm (GA)’s deficiency of slow convergence. In the new IGA, Niche algorithm is used to accelerate convergence speed, and measures such as convergence function, and “noise” chromosome are proposed to avoid Niche algorithm’s deficiency of premature convergence. Then the structure and time property of enterprise information system (EIS) are discussed. And then optimization model of EIS structure is given. Finally, the IIGA and its application in EIS structure optimization are exemplified, and by comparing with self-adaptive Genetic Algorithm (SAGA) and traditional GA, the results verified IIGA’s better convergence speed and optimization ability.

Index Terms—Niche Algorithm, Improved Genetic Algorithm, Enterprise information system, Structure optimization

[PDF]

Cite: Chaogai Xue, Lili Dong, Guohua Li, "An Improved Immune Genetic Algorithm for the Optimization of Enterprise Information System based on Time Property," Journal of Software vol. 6, no. 3, pp. 436-443, 2011.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
  • Apr 26, 2021 News!

    Vol 14, No 4- Vol 14, No 12 has been indexed by IET-(Inspec)     [Click]

  • Jun 22, 2020 News!

    Papers published in JSW Vol 14, No 1- Vol 15 No 4 have been indexed by DBLP     [Click]

  • Sep 13, 2021 News!

    The papers published in Vol 16, No 6 have all received dois from Crossref    [Click]

  • Jan 28, 2021 News!

    [CFP] 2021 the annual meeting of JSW Editorial Board, ICCSM 2021, will be held in Rome, Italy, July 21-23, 2021   [Click]

  • Sep 13, 2021 News!

    Vol 16, No 6 has been published with online version     [Click]