EconPapers    
Economics at your fingertips  
 

Genetic algorithms in seasonal demand forecasting

Grzegorz Chodak () and Witold Kwasnicki

MPRA Paper from University Library of Munich, Germany

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.

Keywords: forecasting; demand; genetic algorithm (search for similar items in EconPapers)
JEL-codes: C61 (search for similar items in EconPapers)
Date: 2000
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Published in Information Systems Architecture and Technology '2000 (2000): pp. 91-99

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/34099/1/MPRA_paper_34099.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:34099

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2024-03-31
Handle: RePEc:pra:mprapa:34099