- author = "R. S. Soni and D. Srikanth",
- title = "Inventory forecasting model using genetic programming and Holt-Winter's exponential smoothing method",
- booktitle = "2017 2nd IEEE International Conference on Recent Trends in Electronics, Information Communication Technology (RTEICT)",
- year = "2017",
- pages = "2086--2091",
- month = "29-20 " # may,
- address = "Bangalore, India",
- keywords = "genetic algorithms, genetic programming, Predictive models, Mathematical model, Forecasting, Computational modeling, Market research, Organizations, Inventory forecasting, Symbolic Regression, Holt-Winters method",
- isbn13 = "978-1-5090-3705-6",
-
DOI = "
10.1109/RTEICT.2017.8256967",
- abstract = "... we present a perspective of treating Inventory management as a problem of Genetic Programming based on inventory transactions data. A Genetic Programming - Symbolic Regression (GP-SR) based mathematical model is developed and subsequently used to make forecasts using Holt-Winters Exponential Smoothing method for time-series modelling. The GP-SR model evolves based on RMSE as the fitness function. The performance of the model is measured in terms of RMSE and MAE. The estimated values of item demand from the GP-SR model is finally used to simulate a time-series and forecasts are generated for inventory required on a monthly time horizon.",
-
notes = "Also known as \cite{8256967}
Defence Institute of Advanced Technology, Pune, India",
