Metadata-Version: 2.1
Name: Chromosome
Version: 0.1.1
Summary: Evolutionary Algorithm Framework in Python
Home-page: https://www.github.com/twguest/Chromosome
Author: Trey Guest
Author-email: twguest@students.latrobe.edu.au
License: LGPL
Keywords: evolutionary algorithms,genetic algorithms,genetic programming,cma-es,ga,gp,es,pso,artificial intelligence,ai
Platform: any
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development
Description-Content-Type: text/markdown

# Chromosome
Chromosome is an open-source Evolutionary Algorithm Architecture.

## [Documentation]:
[Documentation](https://twguest.github.io/Chromosome/)

## [Usage]:
[Example 1](https://twguest.github.io/Chromosome/example1)

## [Publications]:
[Information, Complexity and Life on Mars](https://medium.com/@treyguest/information-complexity-and-life-on-mars-bd70267e0888)

## How to Install:

### Via Pip:


```python
pip install Chromosome
```

### Via Conda:


```python
conda install -c twguest chromosome 
```

## [Credits]:
Trey Guest - La Trobe University - @twguest


