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Welcome to the GETS wiki!

GETS ( Grammatical Evolution Time Series ) is a research project carried in Biocomputing and Developmental Systems Lab and funded by Science Foundation Ireland. The GETS framework identifies appropriate time series models based on nature of input dataset and it models univariate time series. Grammatical evolution is used to tune the hyperparameters of the time series models for Moving Average and Smoothing approaches. The results obtained by GETS framework have been shown to outperform the traditional Grid Search method in terms of accuracy and speedup. If you think there is some issue or correction please feel free to raise a new issue on [GitHub].

For more details on PonyGE, visit the official wiki page of PonyGE.

For more details on Grammatical Evolution, visit (http://bds.ul.ie/).

Below is the outline of the topics in GETS and steps to execute various algorithms of time series using Grammatical Evolution.

1. Introduction

2. Moving Average

3. Simple Exponential Smoothing

4. Holt's Exponential Smoothing

5. Holt's Winter Exponential Smoothing

6. Auto-Regression

7. Evolutionary Parameters

8. Execution and Results

GETS is completed under the supervision of Prof. Conor Ryan who invented Grammatical Evolution. The team of GETS comprised of Prof Conor Ryan, Meghana Kshirsagar, Rushikesh Jachak and Purva Chaudhari.

1. Rushikesh Jachak: UnderGrad Student, Government College of Engineering, Auranagabad and International Research Collaborator, BDS.
2. Purva Chaudhari: UnderGrad Student, Government College of Engineering, Auranagabad and International Research Collaborator, BDS.
3. Meghana Kshirsagar: Postdoctoral Researcher, BDS
4. Prof. Conor Ryan: Director, BDS.

Biocomputing and Developmental Systems Lab

LERO	SFI	University of Limerick