A multi-purpose extensible self-adaptive evolutionary tool

Tiny Genetic Programming in Python

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

Go evolutionary algorithm is a computer library for developing evolutionary and genetic algorithms to solve optimisation problems with (or not) many constraints and many objectives. Also, a goal is to handle mixed-type representations (reals and integers).

Toolbox for the generative design of geometrically-encoded physical objects using numerical modelling and evolutionary optimization

NEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

Evolutionary algorithm toolbox and framework with high performance for Python

Search the best feature subset for you classification mode

Evolutionary multi-objective optimization platform

Genetic Algorithm and Particle Swarm Optimization

用神经网络来训练个能自己玩chrome断线时的那个小恐龙的AI

OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

Train PyTorch Models using the Genetic Algorithm with PyGAD

Jenetics - Genetic Algorithm, Genetic Programming, Evolutionary Algorithm, and Multi-objective Optimization

A collection of Benchmark functions for numerical optimization problems (https://opfunu.readthedocs.io)

Automated modeling and machine learning framework FEDOT

Behavior Optimization and Learning for Robots

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

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).