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PYCELLGA Documentation
====================================

`pycellga`: A Python Package for Improved Cellular Genetic Algorithms

`pycellga` is a Python package that implements cellular genetic algorithms (CGAs) for optimizing 
complex problems. CGAs combine the principles of cellular automata and traditional genetic algorithms, 
utilizing a spatially structured population organized in a grid-like topology. 

This structure allows each individual to interact only with its neighboring individuals, 
promoting diversity and maintaining a balance between exploration and exploitation during the optimization process. 
`pycellga` has machine coded operators with byte implementations. Beside it has Alpha-male CGA, 
Machine Coded Compact CGA and Improved CGA with Machine Coded Operators for real-valued optimization problems.

.. image:: images/cycle_cga.png
   :scale: 40%
   :alt: Reproductive cycle of an individual in cGA
   :align: center


A representation of the reproductive cycle of an individual in a cellular genetic algorithm.

.. toctree::
   :maxdepth: 1
   :caption: Table of Contents :

   installation
   pycellga
   usage_examples
   contributing
   citing