This project has been discontinued.
Genetic Algorithm is inspired by the natural selection process in our environment. GA is very good for optimisation problems , read more about GA here .
ga2 is a highly flexible and easy to use utility module implementing Genetic Algorithm.
- standard pip3 installation is supported
pip3 install ga2
- upgrading
pip3 install --upgrade --no-cache ga2==1.0.0.post1
- import the Genetic Algorithm utility as
import ga2.gaDisc as gad
session1 = gad.Session()
print(session1.sessID)
this should print the session ID of that session
ga2 is designed to be flexible and also simple to use for a variety of use cases, check the EXAMPLES.md for examples. Documentation will be done as soon as a stable stage is reached
gaDisc (Genetic Algorithm Discrete) is working and is in its first release stage, a lot of planning and designing needs to be done for gaCont (Genetic Algorithm continuous), which I hope will be soon !.
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- gaDisc
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- gaCont
Open to ideas , and contributions !