<h1 align="center">Radiate</h1>
<p align="center">
<img src="/docs/assets/logo/radiate.png" height="100" width="60" alt="Radiate Logo" />
</p>
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___
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.
* First-class metric tracking.
---
## Installation
### Rust
Add this to your `Cargo.toml`:
```toml
[dependencies]
radiate = { version = "1.2.22", features = ["x"] }
```
### Python
```bash
pip install radiate # --or-- uv add radiate
```
---
## Building from source
```bash
git clone https://github.com/pkalivas/radiate.git
cd radiate
```
Radiate uses [Just](https://github.com/casey/just) as a build tool, you can install it from [here](https://github.com/casey/just#installation).
The core build options are below, there are a few others that can be found through the `just help` command.
* `just develop` faster build time for development with debug symbols and minimal optimizations.
* `just release` slower build time for optimized runtime performance.
Both the above have an optional argument `py` to build the python package for a specific python version (e.g. `just develop 3.12`, `just develop 3.13t` for free-threading interpreter).
* `just test-rs` to run tests for rust
* `just test-py` to run tests for python package
* `just test` to run tests for both.
* `just clean` to nuke the build artifacts
Run examples with `just example <language> <example_id>` (args being language and example id, see `examples/examples.yaml` for available examples).
For example to run the python's numpy neural network example: `just example py nn`.