Forecasting sales using genetic algorithms
Other Title(s)
La prévision des ventes en utilisant les Algorithmes Génétiques
Joint Authors
Source
Finance and Business Economies Review
Issue
Vol. 3, Issue 2 (30 Jun. 2019), pp.36-52, 17 p.
Publisher
Publication Date
2019-06-30
Country of Publication
Algeria
No. of Pages
17
Main Subjects
Topics
Abstract EN
Genetic Algorithms is an Artificial intelligence technique that can be used as a quantitative method to solve various types of problems including forecasting.
Usually, we forecast phenomena behaviors through time series analyses using Box-Jenkins methodology.
Thus, this study aims to make a combination between these methods and apply it on a time series of plastic manufacturer monthly sales.
The results obtained showed that Genetic Algorithms is an efficient method for sales forecasting; besides it has several advantages concerning characteristics and application.
American Psychological Association (APA)
Muffuk, Umar& Souar, Yusuf. 2019. Forecasting sales using genetic algorithms. Finance and Business Economies Review،Vol. 3, no. 2, pp.36-52.
https://search.emarefa.net/detail/BIM-1090783
Modern Language Association (MLA)
Muffuk, Umar& Souar, Yusuf. Forecasting sales using genetic algorithms. Finance and Business Economies Review Vol. 3, no. 2 (Jun. 2019), pp.36-52.
https://search.emarefa.net/detail/BIM-1090783
American Medical Association (AMA)
Muffuk, Umar& Souar, Yusuf. Forecasting sales using genetic algorithms. Finance and Business Economies Review. 2019. Vol. 3, no. 2, pp.36-52.
https://search.emarefa.net/detail/BIM-1090783
Data Type
Journal Articles
Language
English
Notes
-
Record ID
BIM-1090783
