IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/1604125.html
   My bibliography  Save this article

Simulation Study of Aviation Emergency Rescue Process Based on Application Scenario Features

Author

Listed:
  • Yichi Zhang
  • Naeem Jan

Abstract

In the process of emergency relief material dispatching, most of the traditional algorithms for dispatching are for single rescue point and single material dispatching, which cannot solve the problem of multirescue emergency relief dispatching. The various supply and demand points for emergency relief materials and the multiple emergency relief material dispatching are utilized to create the multiobjective planning model, which is then used as the optimization objective to create the best material dispatching plan. Genetic algorithm (GA) is used to solve the optimal material dispatching scheme and symbolic coding; special pulse crossover operator and variational operator are used to ensure the quality of the solution. The experiment proves that the simulation method of the aviation emergency rescue process considering the application scenario characteristics is efficient in the emergency rescue process and can meet the application requirements of material dispatching in the process of civil emergency disaster relief.

Suggested Citation

  • Yichi Zhang & Naeem Jan, 2023. "Simulation Study of Aviation Emergency Rescue Process Based on Application Scenario Features," Mathematical Problems in Engineering, Hindawi, vol. 2023, pages 1-7, February.
    • Handle: RePEc:hin:jnlmpe:1604125
    DOI: 10.1155/2023/1604125
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2023/1604125.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/mpe/2023/1604125.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2023/1604125?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:1604125. 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.