Metadata-Version: 2.4
Name: radiate
Version: 0.0.4
Classifier: Programming Language :: Rust
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Physics
Requires-Dist: numpy >=1.20.0 ; extra == 'numpy'
Requires-Dist: numpy >=2.3.1 ; extra == 'all'
Provides-Extra: numpy
Provides-Extra: all
Summary: A fast and flexible evolution engine for implementing artificial evolution and genetic programming techniques.
Keywords: simulation,genetic,learning,artificial,evolution,python
Home-Page: https://pkalivas.github.io/radiate/
Author: pkalivas <peterkalivas@gmail.com>
Author-email: pkalivas <peterkalivas@gmail.com>
License: MIT
Requires-Python: >=3.9
Description-Content-Type: text/markdown; charset=UTF-8; variant=GFM
Project-URL: Source Code, https://github.com/pkalivas/radiate

<h1 align="center">Radiate</h1>
<p align="center">
  <img src="/docs/assets/radiate.png" height="101px" alt="Radiate Logo" />
</p>

<div align="center">
  <img src="https://img.shields.io/github/check-runs/pkalivas/radiate/master" alt="master branch checks" />
  <img src="https://img.shields.io/crates/v/radiate" alt="Crates.io" />
  <img src="https://img.shields.io/pypi/v/radiate?color=blue" alt="pypi.org" />
  <img src="https://img.shields.io/crates/l/radiate" alt="Crates.io License" />
  <img src="https://img.shields.io/badge/evolution-genetics-default" alt="Static badge" />
</div>

___

For more details check radiate's [user guide](https://pkalivas.github.io/radiate/) or cargo [docs](https://docs.rs/radiate/latest/radiate/).


Radiate is a powerful library for implementing genetic algorithms and artificial evolution techniques. It provides a fast and flexible framework for creating, evolving, and optimizing solutions to complex problems using principles
inspired by natural selection and genetics. The core is written in Rust and is available for Python.
 
* Traditional genetic algorithm implementation.
* Single & Multi-objective optimization support.
* Neuroevolution (graph-based representation - [evolving neural networks](http://www.scholarpedia.org/article/Neuroevolution)) support. Simmilar to [NEAT](https://nn.cs.utexas.edu/downloads/papers/stanley.ec02.pdf).
* Genetic programming support ([tree-based representation](https://en.wikipedia.org/wiki/Gene_expression_programming#:~:text=In%20computer%20programming%2C%20gene%20expression,much%20like%20a%20living%20organism.)) 
* Built-in support for parallelism.
* Extensive selection, crossover, and mutation operators.
* Opt-in speciation for maintaining diversity.
<!-- * Novelty search support. -->
