IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/785383.html
   My bibliography  Save this article

An Improved Ant Colony Algorithm and Its Application in Vehicle Routing Problem

Author

Listed:
  • Min Huang
  • Ping Ding

Abstract

Optimal path planning is an important issue in vehicle routing problem. This paper proposes a new vehicle routing path planning method which adds path weight matrix and save matrix. The method uses a new transition probability function adding the angle factor function and visibility function, while setting penalty function in a new pheromone updating model to improve the accuracy of the route searching. Finally, after each cycle, we use 3-opt method to update the optimal solution to optimize the path length. The results of comparison also confirm that this method is better than the traditional ant colony algorithm for vehicle routing path planning method. The result of computer simulation confirms that the method can plan a more rational rescue path focused on the real traffic situation.

Suggested Citation

  • Min Huang & Ping Ding, 2013. "An Improved Ant Colony Algorithm and Its Application in Vehicle Routing Problem," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-9, November.
    • Handle: RePEc:hin:jnlmpe:785383
    DOI: 10.1155/2013/785383
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2013/785383.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2013/785383.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2013/785383?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhaojun Zhang & Zhaoxiong Xu & Shengyang Luan & Xuanyu Li & Yifei Sun, 2020. "Opposition-Based Ant Colony Optimization Algorithm for the Traveling Salesman Problem," Mathematics, MDPI, vol. 8(10), pages 1-16, September.

    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:785383. 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.