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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
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    File URL: https://mpra.ub.uni-muenchen.de/34099/1/MPRA_paper_34099.pdf
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    Citations

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    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;

    JEL classification:

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

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