This is a simple genetic algorithm with symbolic regression method. There is 'exer' folder. Don't open a 'dummy' folder, there is nothing. The main codes are in 'End' folder. The codes are written by ipynb.(jupyter notebook)

• data generate code >> csv file
  • Code generate some function data(_r, _rr) and with error.
• symbolic regression code find data function >> symbolic output + graph
• sympy change the symbolic output to simple function

• exer_os : using 1D SHO data (os and os_r)
• exer_2d : using 2D SHO data (os_2d and os_rr)
  • But, NOT dependent of 'x', 'y'
• exer_os(p) : using Earth orbit 'x' data (data.csv)
• exer_os(p)_2d : using Earth orbit 'x' and 'y' data (data.csv)
  • But, NOT dependent of 'x', 'y'