IDEAS home Printed from https://ideas.repec.org/a/igg/jeco00/v13y2015i3p1-14.html
   My bibliography  Save this article

Genetic Algorithm Learning of Nash Equilibrium: Application on Price-QoS Competition in Telecommunications Market

Author

Listed:
  • M'hamed Outanoute

    (LIRST Laboratory, Université Sultan Moulay Slimane, Beni Mellal, Morocco)

  • Mohamed Baslam

    (TIAD Laboratory, Université Sultan Moulay Slimane, Beni Mellal, Morocco)

  • Belaid Bouikhalene

    (LIRST Laboratory, Université Sultan Moulay Slimane, Beni Mellal, Morocco)

Abstract

To select or change a service provider, customers use the best compromise between price and quality of service (QoS). In this work, the authors formulate a game theoretic framework for the dynamical behaviors of Service Providers (SPs). They share the same market and are competing to attract more customers to gain more profit. Due to the divergence of SPs interests, it is believed that this situation is a non-cooperative game of price and QoS. The game converges to an equilibrium position known Nash Equilibrium. Using Genetic Algorithms (GAs), the authors find strategies that produce the most favorable profile for players. GAs are from optimization methods that have shown their great power in the learning area. Using these meta-heuristics, the authors find the price and QoS that maximize the profit for each SP and illustrate the corresponding strategy in Nash Equilibrium (NE). They also show the influence of some parameters of the problem on this equilibrium.

Suggested Citation

  • M'hamed Outanoute & Mohamed Baslam & Belaid Bouikhalene, 2015. "Genetic Algorithm Learning of Nash Equilibrium: Application on Price-QoS Competition in Telecommunications Market," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 13(3), pages 1-14, July.
    • Handle: RePEc:igg:jeco00:v:13:y:2015:i:3:p:1-14
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/JECO.2015070101
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Hamid Garmani & Mohamed Amrani & Mohamed Baslam & Rachid Ayachi & Mostafa Jourhmane, 2019. "A Stackelberg game-based approach for interactions among Internet service providers and content providers," Netnomics, Springer, vol. 20(2), pages 101-128, December.

    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:igg:jeco00:v:13:y:2015:i:3:p:1-14. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.