There are 19 repositories under genetic-algorithms topic.
Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm
GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs).
source code from the book Genetic Algorithms with Python by Clinton Sheppard
Using artificial intelligence and genetic algorithms to automatically write programs. Tutorial: http://www.primaryobjects.com/cms/article149
Evolving version of Conway’s Game of Life.
A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
Source Code for the Book Classic Computer Science Problems in Swift
A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm
A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distributed EC are covered in the current version.
Twitter Genetic Algorithm Imagery
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
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
Heuristic global optimization algorithms in Python
Evolutionary Algorithm for the 2D Packing Problem combined with the 0/1 Knapsack Problem (Master Thesis)
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.
Supported highly optimized and flexible genetic algorithm package for python3.8+
Biologically-Inspired and Machine Learning Algorithms written in Python
"Using Genetic Algorithms for Multi-depot Vehicle Routing" paper implementation.
Evolutionary Computation: A Modern Perspective ---> This is a free online book, which is actively updated now.
Usage of genetic algorithms to train a neural network in multiple OpenAI gym environments.
🐤The next evolution of, well, evolution.
An automated time table generator using genetic algorithms in java.