PROJECT TITLE :

Conceptual Developments in Genetic Programming for Time Series Forecasting

ABSTRACT:

Objective: The aim of this paper is to research the main research areas in Genetic Programming (GP). Methodology: We have a tendency to used the systematic literature review technique using an automatic search with manual refining of papers printed on GP between 1992 to 2012. Results: Simply 63 studies meet all the requirements of the inclusion criteria. Conclusion: Although studies referring to the applying of genetic programming within the forecast of your time series were frequently presented, we find that the studies proposing changes in the original algorithm of GP with a theoretical support and a scientific procedure for the development of model were scarce within the time 1992-2012.


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