#ai #optimization #evolution #ml #map-elites

elites

A fast and robust implementation of the Map-Elites algorithm in Rust

1 unstable release

0.1.0 Jan 15, 2025

#662 in Algorithms

Download history 116/week @ 2025-01-14 7/week @ 2025-01-21 7/week @ 2025-02-04

130 downloads per month

MIT/Apache

23KB
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Map-Elites: A Quality Diversity Algorithm Implementation

This repository provides a generic and efficient implementation of the Map-Elites algorithm, which is widely used to discover diverse, high-performing solutions across a feature space.

Features

  • Modular Design: Easily adaptable to various problem domains.
  • Customizable Configurations: Configure bins, boundaries, and mutation strategies.
  • Statistics Tracking: Monitor progress, coverage, and improvements over iterations.

Getting Started

Prerequisites

  • Rust: Ensure you have Rust installed.

Installation

Add this crate to your Cargo.toml dependencies:

[dependencies]
elites = "0.1.0"

Example Usage

Below is an example of how to use this crate for solving a simple optimization problem:

use elites::{MapElites, MapElitesProblem};

// Define your problem
struct MyProblem;

impl MapElitesProblem for MyProblem {
    type Genome = Vec<f64>;
    
    fn random_genome(&self) -> Self::Genome {
        vec![0.0, 0.0] // Simplified for example
    }
    
    fn evaluate(&self, genome: &Self::Genome) -> (f64, Vec<f64>) {
        let fitness = -genome.iter().map(|x| x.powi(2)).sum::<f64>();
        let features = vec![genome[0], genome[1]];
        (fitness, features)
    }
    
    fn mutate(&self, genome: &Self::Genome) -> Self::Genome {
        genome.clone() // Simplified for example
    }
    
    fn feature_dimensions(&self) -> usize { 2 }
    fn bins_per_dimension(&self) -> usize { 10 }
}

// Use the algorithm
let problem = MyProblem;
let mut map_elites = MapElites::new(problem);
map_elites.run(1000);

Configuration

You can customize the algorithm using the MapElitesConfig struct:

let config = MapElitesConfig {
    initial_population: 200,
    track_stats: true,
    bin_boundaries: Some(vec![
        vec![0.0, 0.5, 1.0], // Custom boundaries for the first dimension
        vec![0.0, 0.5, 1.0], // Custom boundaries for the second dimension
    ]),
    ..Default::default()
};

References

  1. Mouret, J.-B., & Clune, J. (2015). Illuminating search spaces by mapping elites. arXiv preprint arXiv:1504.04909.

Testing

Run the tests to validate the implementation:

cargo test

Contributing

Contributions are welcome! Feel free to open issues or submit pull requests.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Dependencies

~320KB