IDEAS home Printed from https://ideas.repec.org/a/ids/ijmore/v32y2025i1p90-122.html
   My bibliography  Save this article

Enhanced non-dominated sorting genetic algorithms for fuzzy multi-objective multi-route shortest path problem

Author

Listed:
  • Aniket S. Todkar
  • Jayesh M. Dhodiya

Abstract

This study examines a fuzzy multi-objective multi-route short path problem (FMOMRSPP) by transforming it into a crisp multi-objective multi-route shortest path problem (MOMRSPP) using possibility distribution. Using α-level sets, fuzzy judgement is categorised for the decision maker (DM) to optimise fuzzy objective function scenarios. This paper proposes aspiration level (AL)-based non-dominated sorting genetic algorithm (NSGA)-II and AL-based NSGA-III to obtain a Pareto-optimal solution that meets DM AL for the FMOMRSPP. A numerical example has been provided to demonstrate the usage of the presented methodologies. A comparison is presented between the proposed and several other approaches. The sensitivity of objective functions is also investigated with ALs and shape parameters. The coverage is determined to evaluate the effectiveness of the proposed methods.

Suggested Citation

  • Aniket S. Todkar & Jayesh M. Dhodiya, 2025. "Enhanced non-dominated sorting genetic algorithms for fuzzy multi-objective multi-route shortest path problem," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 32(1), pages 90-122.
    • Handle: RePEc:ids:ijmore:v:32:y:2025:i:1:p:90-122
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=148626
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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:ids:ijmore:v:32:y:2025:i:1:p:90-122. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=320 .

    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.