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 (including evolutionary algorithms, swarm-based randomized optimizers, pattern search, and random search). [https://jmlr.org/papers/v25/23-0386.html] (Its Planned Extensions: PyCoPop7, PyNoPop7, PyDPop77, and PyMePop7)

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

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

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

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

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

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

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

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

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

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.

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

Biologically-Inspired and Machine Learning Algorithms written in Python

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