185 Open source projects that are alternatives of or similar to async-genetic

Evolutionary algorithms library for the web 🧬

A comparison between humans, neuroevolution and multilayer perceptrons playing Flapy Bird implemented in Python

Usage of genetic algorithms to train a neural network in multiple OpenAI gym environments.

This is the repository of codes written in class.

🎯 Generate DNA sequences with specified amino acid, codon, and k-mer frequencies

Use genetic algorithms to train flappy bird

Vehicle Routing Problem with Time Windows - Genetic Algorithm solution with Python

Using genetic algorithm and neural networks to teach AI to play flappy bird.

In the coming weeks this plans to become a Gekko plugin that reacts to market changes, finding and running only the most profitable strategies.

Searching global optima with firefly algorithm and solving traveling salesmen problem with genetic algorithm

Combining artificial intelligence and engineering design

Neuroevolution demo through TensorFlow.js, Neataptic, and Box2D

An R package for optimization using genetic algorithms

使用浅层神经网络和遗传算法训练一个可以自动驾驶小车的Demo

Genetic Algorithm and Particle Swarm Optimization

two soldiers shooting at each other, controlled by a neural network with a genetic algorithm.

Matlab Module for Stock Market Prediction using Simple NN

Numerical Encoding for Human Genetic Variants

Job Shop Scheduling Solver using Genetic Algorithyms

Derivative-Free Optimization Method for Global Optimization (C++)

R package for solving three-dimensional bin packing problem

Building and training artificial neural networks (regression or classification) using the genetic algorithm.

Genetic Algorithms Toolbox

Simple genetic algorithms in Go

sopt:A simple python optimization library

Modular Java framework for meta-heuristic optimization

Genetic Algorithms, Mutation, Crossover, Mating, Particle Animation, Gaming, Learning, P5JS, Fun Project

Modern Fortran Edition of the Pikaia Genetic Algorithm

A metaheuristic optimization framework

Genetic Algorithm for Flow Shop Scheduling

MATLAB Tool for Multi-Objective Optimization

FMI-compliant Model Estimation in Python

Multi-Objective GP for Automated Repair of Java

Solving and GUI demonstration of traditional N-Queens Problem using Hill Climbing, Simulated Annealing, Local Beam Search, and Genetic Algorithm.

Yet another NEAT implementation

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.

Implementing Genetic Algorithm on K-Means and compare with K-Means++

Feature extraction algorithm for genomic data

GARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.

A class scheduler using adaptive-elitist genetic algorithm.

Supported highly optimized and flexible genetic algorithm package for python

Simulation of life & evolution

PHP Related Projects: Like simple PHP Genetic algorithm, LDAP login , Websockets and more

Project about minimizing costs in garbage collection in Montevideo, Uruguay, using Evolutionary Algorithms

智能算法-遗传算法、蚁群算法、粒子群算法实现。实现版本Java,Python,MatLab多版本实现

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).

A general-purpose pythonic genetic algorithm.

A genetic algorithm implementation in python

A Binary Genetic Traits Lexer Framework

A sharing of the learning process of mathematical modeling 数学建模常用工具模型算法分享：数学建模竞赛优秀论文，数学建模常用算法模型，LaTeX论文模板，SPSS工具分享。

DENOPTIM is a software package for de novo design and virtual screening of functional molecules of any kind.

A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See paper here: https://eplex.cs.ucf.edu/papers/sosa_ugrad_report18.pdf

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This repository belongs to the youtube videos "What are Genetic Algorithms" (https://youtu.be/uQj5UNhCPuo) and "Genetic Algorithm from Scratch in Python" (https://youtu.be/nhT56blfRpE). If you haven't seen it, please consider watching part one of this series, to get a better understanding of this code.

Search the best feature subset for you classification mode

A Tetris AI written in JavaScript that uses a genetic algorithm

A genetic algorithm to solve the Travelling Salesman Problem, implemented in Python. Made by Jack Frigaard, modified by Mauricio Aizaga

Traveling Salesman Problem Using Parallel Genetic Algorithms

Train PyTorch Models using the Genetic Algorithm with PyGAD

Genx provides modular building blocks to run simulations of optimization and search problems using Genetic Algorithms