IDEAS home Printed from https://ideas.repec.org/a/pkp/roieaa/v7y2020i1p6-17id2684.html
   My bibliography  Save this article

Application of Ant Algorithm for Software Optimization

Author

Listed:
  • Shafagat Mahmudova

Abstract

Different technologies, methods and algorithms are used when developing high-quality software systems. There are various ways to create optimal software. One of them is an ant algorithm. The ant algorithm can be attributed to the field of biomimetic. Ant algorithm is one of the most effective polynomial algorithms for finding approximate solutions, and it also solves similar route search problems in graphs. Various methods, including the ant algorithm, are used to improve software efficiency and optimize it. The essence of the concept is to analyze, use, and meta-heuristically optimize the behavior of ants in search of paths to the food source of the colony. This article analyzes the studies in this area, and explains the idea of the algorithm used, compares different ant systems, shows program code operators as ants, and applies the ant algorithm to them. As a result of applying the algorithm, the shortest path to some operators (cycle, condition) contained in the program code is found. The experiments perform good results.

Suggested Citation

  • Shafagat Mahmudova, 2020. "Application of Ant Algorithm for Software Optimization," Review of Information Engineering and Applications, Conscientia Beam, vol. 7(1), pages 6-17.
    • Handle: RePEc:pkp:roieaa:v:7:y:2020:i:1:p:6-17:id:2684
    as

    Download full text from publisher

    File URL: https://archive.conscientiabeam.com/index.php/79/article/view/2684/4201
    Download Restriction: no
    File URL: https://archive.conscientiabeam.com/index.php/79/article/view/2684/4829
    Download Restriction: no
    ---><---

    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:pkp:roieaa:v:7:y:2020:i:1:p:6-17:id:2684. 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: Dim Michael (email available below). General contact details of provider: https://archive.conscientiabeam.com/index.php/79/ .

    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.