IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/34099.html
   My bibliography  Save this paper

Genetic algorithms in seasonal demand forecasting

Author

Listed:
  • Chodak, Grzegorz
  • Kwaśnicki, Witold

Abstract

The method of forecasting seasonal demand applying genetic algorithm is presented. Specific form of used demand function is shown in the first section of the article. Next the method of identification of the function parameters using genetic algorithms is discussed. In the final section an example of applying proposed method to forecast real demand process is shown.

Suggested Citation

  • Chodak, Grzegorz & Kwaśnicki, Witold, 2000. "Genetic algorithms in seasonal demand forecasting," MPRA Paper 34099, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:34099
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/34099/1/MPRA_paper_34099.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Chodak, Grzegorz, 2004. "Symulator obrotów magazynowych w sklepie internetowym - propozycja implementacji [Simulator of Inventory Turnover in Internet Shop - Proposal of Implementation]," MPRA Paper 34918, University Library of Munich, Germany.
    2. Chodak, Grzegorz, 2009. "Genetic algorithms in forecasting of Internet shops demand," MPRA Paper 34034, University Library of Munich, Germany, revised 2009.

    More about this item

    Keywords

    forecasting; demand; genetic algorithm;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

    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:pra:mprapa:34099. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.