IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v242y2026icp74-83.html

Feasibility study of using artificial intelligence to explore the process of zebra migration

Author

Listed:
  • Chen, Shan
  • Ding, Yuanzhao

Abstract

It is essential to comprehend and forecast animal migratory paths. Only with this knowledge will scientists be able to help conserve animals and better safeguard their habitats. Using the zebra migration as an example, this research simulates and interprets the evolution of zebra migration patterns using a revolutionary genetic algorithm method. With this technique, we discover that only when the zebra population size is quite large and the mutation rate is moderate does migratory route evolution go more smoothly. Future efforts to conserve animals will be greatly impacted by this paper's demonstration of the viability of employing a genetic algorithm to comprehend and enhance animal migration pathways.

Suggested Citation

  • Chen, Shan & Ding, Yuanzhao, 2026. "Feasibility study of using artificial intelligence to explore the process of zebra migration," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 242(C), pages 74-83.
    • Handle: RePEc:eee:matcom:v:242:y:2026:i:c:p:74-83
    DOI: 10.1016/j.matcom.2025.11.018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475425004847
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.matcom.2025.11.018?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:eee:matcom:v:242:y:2026:i:c:p:74-83. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    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.