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genetipe's Issues

Remove duplicate individuals

We really often fill the entire population with the same individual copyed again and again. This is totally useless and waste space and computation time.
We have to remove them !

0% fitness while exact match because of float approximation

When we tested the algorithm on the 10^x function with points from 0 to 10 we got the perfect match after simplification of the population while the fitness was still near 0%.
This is caused by float approximation with huge values.
Could we find ideas to fix that ?

'ocamlbuild GeneTipe.cma' fails

log :

Nicolas@Foch64 /cygdrive/c/Users/Nicolas/Desktop/GeneTipe
$ ocamlbuild GeneTipe.cma
mkdir 'C:\Users\Nicolas\Desktop\GeneTipe\_build'
''ocamldep.opt -modules Dna.mli > Dna.mli.depends
''ocamlc.opt -c -o Dna.cmi Dna.mli
''ocamldep.opt -modules Dna.ml > Dna.ml.depends
''ocamldep.opt -modules Evolver.mli > Evolver.mli.depends
''ocamlc.opt -c -o Evolver.cmi Evolver.mli
''ocamldep.opt -modules Evolver.ml > Evolver.ml.depends
''ocamldep.opt -modules Stats.mli > Stats.mli.depends
''ocamlc.opt -c -o Stats.cmi Stats.mli
''ocamldep.opt -modules Stats.ml > Stats.ml.depends
''ocamldep.opt -modules MathParser.mli > MathParser.mli.depends
''ocamlc.opt -c -o MathParser.cmi MathParser.mli
''ocamldep.opt -modules MathParser.ml > MathParser.ml.depends
''ocamlc.opt -c -o Dna.cmo Dna.ml
''ocamlc.opt -c -o Evolver.cmo Evolver.ml
''ocamlc.opt -c -o Stats.cmo Stats.ml
''ocamlc.opt -c -o MathParser.cmo MathParser.ml
Solver failed:
  Ocamlbuild cannot find or build GeneTipe.ml.  A file with such a name would usually be a source file.  I suspect you have given a wrong target name to Ocamlbuild.
Backtrace:
  - Failed to build the target GeneTipe.cma
      - Building GeneTipe.cma:
          - Failed to build all of these:
              - Building GeneTipe.cmo:
                  - Failed to build all of these:
                      - Building GeneTipe.ml:
                          - Failed to build all of these:
                              - Building GeneTipe.mly
                              - Building GeneTipe.mll
                      - Building GeneTipe.mli:
                          - Building GeneTipe.mly
                      - Building GeneTipe.mlpack
                      - Building GeneTipe.mli:
                          - Building GeneTipe.mly
              - Failed to build all of these:
                  - Building Parameters.cmo:
                      - Failed to build all of these:
                          - Building Parameters.ml:
                              - Failed to build all of these:
                                  - Building Parameters.mly
                                  - Building Parameters.mll
                          - Building Parameters.mli:
                              - Building Parameters.mly
                          - Building Parameters.mlpack
                          - Building Parameters.mli:
                              - Building Parameters.mly
                  - Building parameters.cmo:
                      - Failed to build all of these:
                          - Building parameters.ml:
                              - Failed to build all of these:
                                  - Building parameters.mly
                                  - Building parameters.mll
                          - Building parameters.mli:
                              - Building parameters.mly
                          - Building parameters.mlpack
                          - Building parameters.mli:
                              - Building parameters.mly

The algorithm gets lost in deep functions

Often when you test the program with the standard depth, it does not converge toward a solution because the population quickly get too much complex before having an approximate solution.
How could we solve that ?

Improve the constants management

Currently we have a fixed range for the choice of the constants. Maybe it would be a good idea to compute that range from the points.

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