IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/1306341.html
   My bibliography  Save this article

Research on Improved NSGA-II Algorithm and Its Application in Emergency Management

Author

Listed:
  • Xi Fang
  • Wenwen Wang
  • Lang He
  • Zhangcan Huang
  • Yang Liu
  • Liang Zhang

Abstract

This paper constructs a dynamic multiobjective location model; three objectives are considered: the first objective maximizes the total utility of relief supplies, the second objective minimizes the number of temporary facilities needed to operate, and the third objective maximizes the satisfaction for all demand points. We propose an improved NSGA-II to solve the optimization problem. The computational experiments are divided into two sections: In the first procedure, the numerical experiment is constructed by the classical functions ZDT1, ZDT2, and DTLZ2; the results show that the proposed algorithm generates the exact Pareto front, and the convergence and uniformity of the proposed algorithm are better than the NSGA-II and MOEA/D. In the second procedure, the simulation experiment is constructed by a case in emergency management; the results show that the proposed algorithm is more reasonable than the traditional algorithms NSGA-II and MOEA/D in terms of the three objectives. It is proved that the improved NSGA-II algorithm, which is proposed in this paper, has high precision application for the sudden disaster crisis and emergency management.

Suggested Citation

  • Xi Fang & Wenwen Wang & Lang He & Zhangcan Huang & Yang Liu & Liang Zhang, 2018. "Research on Improved NSGA-II Algorithm and Its Application in Emergency Management," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-13, January.
    • Handle: RePEc:hin:jnlmpe:1306341
    DOI: 10.1155/2018/1306341
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2018/1306341.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2018/1306341.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2018/1306341?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:1306341. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.