genetic-algorithms
There are 694 repositories under genetic-algorithms topic.
codelion/openevolve
Open-source implementation of AlphaEvolve
ssusnic/Machine-Learning-Flappy-Bird
Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm
giacomelli/GeneticSharp
GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs).
handcraftsman/GeneticAlgorithmsWithPython
source code from the book Genetic Algorithms with Python by Clinton Sheppard
primaryobjects/AI-Programmer
Using artificial intelligence and genetic algorithms to automatically write programs. Tutorial: http://www.primaryobjects.com/cms/article149
ShprAlex/SproutLife
Evolving version of Conway’s Game of Life.
Evolutionary-Intelligence/pypop
[JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm variants (from evolutionary computation, swarm intelligence, statistics, operations research, machine learning, mathematical optimization, meta-heuristics, auto-control etc.). [https://jmlr.org/papers/v25/23-0386.html]
Alro10/awesome-deep-neuroevolution
A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
davecom/ClassicComputerScienceProblemsInSwift
Source Code for the Book Classic Computer Science Problems in Swift
afourmy/pyTSP
A 2D/3D visualization of the Traveling Salesman Problem main heuristics
soypat/mu8
Genetic algorithm for unsupervised machine learning in Go.
tlemo/darwin
Evolutionary Algorithms Framework
ddehueck/pytorch-neat
A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm
Eric-Bradford/TS-EMO
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
EC-KitY/EC-KitY
EC-KitY: A scikit-learn-compatible Python tool kit for doing evolutionary computation.
lucidrains/evolutionary-policy-optimization
Pytorch implementation of Evolutionary Policy Optimization, from Wang et al. of the Robotics Institute at Carnegie Mellon University
rogerallen/tweegeemee
Twitter Genetic Algorithm Imagery
gsurma/slitherin
AI research environment for the game of Snake 🐍 .
gmontamat/gentun
Hyperparameter tuning for machine learning models using a distributed genetic algorithm
jeffheaton/mergelife
Evolve complex cellular automata with a genetic algorithm.
rameziophobia/Travelling_Salesman_Optimization
Python implementation for TSP using Genetic Algorithms, Simulated Annealing, PSO (Particle Swarm Optimization), Dynamic Programming, Brute Force, Greedy and Divide and Conquer
IdreesInc/TetNet
TetNet is an application that uses genetic algorithms to create an evolving Tetris AI.
lucidrains/transformer-directed-evolution
Explorations into whether a transformer with RL can direct a genetic algorithm to converge faster
lucidrains/x-transformers-rl
Implementation of a transformer for reinforcement learning using `x-transformers`
lhalsey/BlazorAI
A Blazor web app developed to explore the use of Genetic Algorithms for solving problems.
albert-espin/knapsack-packing
Evolutionary Algorithm for the 2D Packing Problem combined with the 0/1 Knapsack Problem (Master Thesis)
lucidrains/mind-evolution
Implementation of Mind Evolution, Evolving Deeper LLM Thinking, from Deepmind
sharma-n/global_optimization
Heuristic global optimization algorithms in Python
nmichlo/ruck
🧬 Modularised Evolutionary Algorithms For Python with Optional JIT and Multiprocessing (Ray) support. Inspired by PyTorch Lightning
danielwilczak101/EasyGA
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.
Nikronic/Optimized-MDVRP
"Using Genetic Algorithms for Multi-depot Vehicle Routing" paper implementation.
jaredthecoder/BioPy
Biologically-Inspired and Machine Learning Algorithms written in Python
PasaOpasen/geneticalgorithm2-6.8.7
Supported highly optimized and flexible genetic algorithm package for python3.8+
lucidrains/firefly-torch
Exploration into the Firefly algorithm in Pytorch
dadukhankevin/Finch
🐤The next evolution of evolution.
robertjankowski/ga-openai-gym
Usage of genetic algorithms to train a neural network in multiple OpenAI gym environments.