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(#59) add various informative badges to README.md
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SevgiAkten committed Aug 13, 2024
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[![Doc](https://img.shields.io/badge/docs-dev-blue.svg)](https://sevgiakten.github.io/pycellga/)
[![License](https://img.shields.io/github/license/SevgiAkten/pycellga)](https://github.com/SevgiAkten/pycellga/blob/main/LICENSE)
![Repo Size](https://img.shields.io/github/repo-size/SevgiAkten/pycellga)
![Python Version](https://img.shields.io/badge/python-3.x-blue.svg)
![GitHub Contributors](https://img.shields.io/github/contributors/SevgiAkten/pycellga)


# 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 Operaors for real-valued optimization problems.
`pycellga` is a Python package that implements cellular genetic algorithms (CGAs) for optimizing complex problems. VCGAs 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 Operaors for real-valued optimization problems.

## Features

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## Documentation

Comprehensive documentation is available on the official documentation site.
## Documentation

For full documentation, visit [here](https://sevgiakten.github.io/pycellga/) or click the badge below:

[![Doc](https://img.shields.io/badge/docs-dev-blue.svg)](https://sevgiakten.github.io/pycellga/)


## Usage Examples

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