Open-source implementation of AlphaEvolve

source code from the book Genetic Algorithms with Python by Clinton Sheppard

[JMLR (CCF-A)] PyPop7: A Pure-Python LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (from evolutionary computation, swarm intelligence, statistics, operations research, machine learning, mathematical optimization, etc.). [https://jmlr.org/papers/v25/23-0386.html]

A 2D/3D visualization of the Traveling Salesman Problem main heuristics

A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm

Pytorch implementation of Evolutionary Policy Optimization, from Wang et al. of the Robotics Institute at Carnegie Mellon University

EC-KitY: A scikit-learn-compatible Python tool kit for doing evolutionary computation.

AI research environment for the game of Snake 🐍 .

Hyperparameter tuning for machine learning models using a distributed genetic algorithm

Evolve complex cellular automata with a genetic algorithm.

Python implementation for TSP using Genetic Algorithms, Simulated Annealing, PSO (Particle Swarm Optimization), Dynamic Programming, Brute Force, Greedy and Divide and Conquer

Explorations into whether a transformer with RL can direct a genetic algorithm to converge faster

Implementation of a transformer for reinforcement learning using `x-transformers`

Evolutionary Algorithm for the 2D Packing Problem combined with the 0/1 Knapsack Problem (Master Thesis)

Implementation of Mind Evolution, Evolving Deeper LLM Thinking, from Deepmind

🧬 Modularised Evolutionary Algorithms For Python with Optional JIT and Multiprocessing (Ray) support. Inspired by PyTorch Lightning

"Using Genetic Algorithms for Multi-depot Vehicle Routing" paper implementation.

EasyGA is a python package designed to provide an easy-to-use Genetic Algorithm. The package is designed to work right out of the box, while also allowing the user to customize features as they see fit.

Biologically-Inspired and Machine Learning Algorithms written in Python

Supported highly optimized and flexible genetic algorithm package for python3.8+