Eureqa is a software tool for detecting equations and hidden mathematical relationships in your data. Its primary goal is to identify the simplest mathematical formulas which could describe the underlying mechanisms that produced the data. Eureqa is free to download and use. Below you will find the program download, video tutorial, user forum, and other and reference materials.

1 Paste/load in your data

2 Smooth the variables

3 Pick the search options

4 Start/monitor the search

5 View/analyze the solutions

General Information about Genetic Programming and Symbolic Regression

  Read about Symbolic Regression on Wikipedia

  Read an example Symbolic Regression problem by John Koza

  Read an overview of Symbolic Regression by Zelinka Ivan

Advanced Techniques Used in this Software

  Schmidt M., Lipson H. (2009) “Distilling Free-Form Natural Laws from Experimental Data,” Science, Vol. 324, no. 5923, pp. 81 – 85. (see supplemental materials)

  Schmidt M., Lipson H. (2009) “Discovering a Domain Alphabet,” Genetic and Evolutionary Computation Conference (GECCO’09), pp. 1083-1090.

  Schmidt, M., Lipson, H., (2008) “Coevolution of Fitness Predictors,” IEEE Transactions on Evolutionary Computation, Vol.12, No.6, pp. 736-749.

  Schmidt M., Lipson H. (2008), “Data-mining Dynamical Systems: Automated Symbolic System Identification for Exploratory Analysis“, Proceedings of the 9th Biennial ASME Conference on Engineering Systems Design and Analysis (ESDA08), Haifa, Israel, July 7-9, 2008.

  Schmidt M., Lipson H. (2007), “Comparison of Tree and Graph Encodings as Function of Problem Complexity“, Genetic and Evolutionary Computation Conference (GECCO’07), pp. 1674-1679.

  Schmidt M., Lipson H. (2009), “Symbolic Regression of Implicit Equations,” Genetic Programming Theory and Practice, Vol. 7, Chapter 5, pp. 73-85.

 

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