This framework supplies the basics for creating mutating/breeding objects for genetic algorithms.

The algorithm doesn't use binary genes, this one simply uses a list of numbers (coefficients)

Also included is an application that attempts to find a polynomial fitting a set of points generated from another polynomial.

 >>>from gene.poly.main import main
 >>>main()
 Count Population                                         Minimum R2                                         Maximum R2
 ----------------------------------------------------------------------------------------------------------------------
     1       6500                                  6950330240.000000              136092312929540976372975927296.000000
     2       6500                                    85048285.000000                          285213505989464320.000000
     3       6500                                        8056.691802                              16508131303843.242188
     4       6500                                        8131.956533                              16508131303843.242188
     5       6500                                       41533.218690                              13040261122126.289062
     6       6500                                        7742.577210                               8633893190243.836914
     7       6500                                        1350.695523                                457890188335.166443
     8       6500                                        1552.380193                                121799159395.832504
     9       6500                                          81.732162                                   848106850.135428
    10       6500                                          81.732162                                    33383122.338370
    11       6500                                          71.076730                                     3094222.215140
    12       6500                                          23.331806                                      496835.692546
    13       6500                                          19.152777                                      105361.767326
    14       6500                                          11.565662                                       27741.564790
    15       6500                                           4.761789                                        7921.808892
    16       6500                                           1.376816                                        2650.143632
    17       6500                                           1.033400                                        1035.317913
    18       6500                                           0.578979                                         464.759253
    19       6500                                           0.226973                                         230.073424
    20       6500                                           0.161341                                         123.582239
    21       6500                                           0.098590                                          63.985043
4.999993x^4 + 3.000188x^3 + 2.000421x^2 + 0.968511x^1 + 1.131967x^0 @ R2 = 0.098590
5.000000x^4 + 3.000000x^3 + 2.000000x^2 + 1.000000x^1 + 1.000000x^0