IDEAS home Printed from https://ideas.repec.org/a/ids/ijlsma/v48y2024i1p67-91.html
   My bibliography  Save this article

Comparison of metaheuristic approaches for parcel delivery problem

Author

Listed:
  • Shamine Moganathan
  • Siti Noor Asyikin Mohd Razali
  • Nabeel Naeem Hassan Almaalei
  • Kavikumar Jacob

Abstract

Ever since the coronavirus disease-2019 (COVID-19) outbreak, people plump for e-shopping, and it causes the delivery company to receive bulks to be delivered to customers. The complication arises when the delivery man needs to transport parcels to a vast number of houses in a trip. Due to this, they seek the shortest path in the trip to minimise the delivery cost and also the time. Hence, this study aims to scrutinise the shortest path, including runtime because the delivery problem has been categorised as an NP-hard problem. Thus, we proposed two metaheuristic techniques to be compared in this study which are ant-colony optimisation (ACO) and genetic algorithm (GA). In a nutshell, the results show that the GA technique performs better than the ACO technique in terms of distance, price, and runtime for moderate data size, which is less than 50 locations, as there were some enhancements on the methods used.

Suggested Citation

  • Shamine Moganathan & Siti Noor Asyikin Mohd Razali & Nabeel Naeem Hassan Almaalei & Kavikumar Jacob, 2024. "Comparison of metaheuristic approaches for parcel delivery problem," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 48(1), pages 67-91.
    • Handle: RePEc:ids:ijlsma:v:48:y:2024:i:1:p:67-91
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=138876
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:ijlsma:v:48:y:2024:i:1:p:67-91. 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=134 .

    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.