243 Open source projects that are alternatives of or similar to GeneticsJS

Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/S0167739X18313530. In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).

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).

Machine Learning Finite State Machine Models from Data with Genetic Algorithms

Tiny Genetic Programming in Python

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

A metaheuristic optimization framework

Evolutionary & genetic algorithms for Julia

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Supported highly optimized and flexible genetic algorithm package for python

The Watchmaker Framework for Evolutionary Computation

A blazing fast parameters optimiser by genetic algorithm

Genetic Algorithm and Particle Swarm Optimization

Neuroevolution demo through TensorFlow.js, Neataptic, and Box2D

Train PyTorch Models using the Genetic Algorithm with PyGAD

NEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training

🍀 Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)

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

A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.

Evolution Simulator with Box2D

Blue Brain Python Optimisation Library

A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

Jenetics - Genetic Algorithm, Genetic Programming, Evolutionary Algorithm, and Multi-objective Optimization

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

A collection of the state-of-the-art MEta-heuristics ALgorithms in PYthon (mealpy)

Evolutionary Art Using Circles in Python

An evolutionary computation framework

Finding an optimal Blackjack strategy using AI

Evoplex is a fast, robust and extensible platform for developing agent-based models and multi-agent systems on networks. It's available for Windows, Linux and macOS.

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.

Generate high-quality triangulated and polygonal art from images.

Search the best feature subset for you classification mode

Jupyter/IPython notebooks about evolutionary computation.

A simple simulation in Unity, which uses genetic algorithm to optimize forces applied to cubes

Modular Java framework for meta-heuristic optimization

Use genetic algorithms to train flappy bird

An R package for multi/many-objective optimization with non-dominated genetic algorithms' family

Python Control System : Create control loops and let the AI set the PID parameters

Matlab Module for Stock Market Prediction using Simple NN

An implementation of various metaheuristics adapted to train neural networks

OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.

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

Artificial Bee Colony Algorithm in Python.

A class scheduler using adaptive-elitist genetic algorithm.

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

MATLAB Tool for Multi-Objective Optimization

cdv.dei.uc.pt/denser/

A framework for Big Data Optimization with multi-objective metaheuristics

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

Modern Fortran Edition of the Pikaia Genetic Algorithm

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

Spare material for Computational Intelligence 01URROV @ Politecnico di Torino

Multi-Objective GP for Automated Repair of Java

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

A Solver for the Wavelength Assignment Problem (RWA) in WDM networks

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

An R package for optimization using genetic algorithms

R package for solving three-dimensional bin packing problem

Yet another NEAT implementation

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

A genetic algorithm implementation in python