Open-source implementation of AlphaEvolve

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.

Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.

🍀 Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)

A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

LoongFlow: A Thinking & Learning Framework for Expert-Grade AI Agents.

NSGA-Net, a Neural Architecture Search Algorithm

A bare-bones Python library for quality diversity optimization.

A GPU-accelerated library for Tree-based Genetic Programming, leveraging PyTorch and custom CUDA kernels for high-performance evolutionary computation. It supports symbolic regression, classification, and policy optimization with advanced features like multi-output trees and benchmark tools.

EvoMO is a GPU-accelerated library for evolutionary multiobjective optimization (EMO)

A framework for gene expression programming (an evolutionary algorithm) in Python

Programmatic modification and evaluation of software

Flappy Bird AI using Cartesian Genetic Programming (Evolutionary Computation)

Return Oriented Programme Evolution with ROPER

A lightweight, generic C++11 framework for evolutionary computation

Evoplex is a fast, robust and extensible platform for developing agent-based models and multi-agent systems on networks. It's available for Windows, Linux and macOS.

An implementation of NSGA-III in Python.

Transforming Neural Architecture Search (NAS) into multi-objective optimization problems. A benchmark suite for testing evolutionary algorithms in deep learning.