Code that implements a Genetic Algorithm regression approach in Mathematica. Version 11.2+ recommended.
Comments:
- Run the Genetic Algorithm (GA) code with different grammars, adjust the crossover and mutation rates.
- Can run with both uncorrelated and correlated data by changing the likelihood.
- Error estimates using the path-integral approach.
- Operative in one dimension but can be easily extended in more dimensions.
If you use this code, please cite the papers arXiv: 2002.12700, 2001.11420, 1910.01529
Made by Rubén Arjona, June 2020