Genetic algorithms in seasonal demand forecasting
AbstractThe 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.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 34099.
Date of creation: 2000
Date of revision:
forecasting; demand; genetic algorithm;
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- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
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- 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.
- Chodak, Grzegorz, 2009. "Genetic algorithms in forecasting of Internet shops demand," MPRA Paper 34034, University Library of Munich, Germany, revised 2009.
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