236 Open source projects that are alternatives of or similar to Evolutionsimulator

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

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

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

Modular Java framework for meta-heuristic optimization

Evolving squids through neuroevolution

Tiny Genetic Programming in Python

Deprecated! See:

Evolutionary Art Using Circles in Python

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

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.

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

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

Supported highly optimized and flexible genetic algorithm package for python

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

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).

Jupyter/IPython notebooks about evolutionary computation.

The Watchmaker Framework for Evolutionary Computation

A project on improving Neural Networks performance by using Genetic Algorithms.

Machine Learning Finite State Machine Models from Data with Genetic Algorithms

Neuroevolution demo through TensorFlow.js, Neataptic, and Box2D

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

Evolutionary Algorithms Framework

Train PyTorch Models using the Genetic Algorithm with PyGAD

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

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

🍀 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.

Yet another NEAT implementation

Genetic Algorithm and Particle Swarm Optimization

Search the best feature subset for you classification mode

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

Radiate is a parallel genetic programming engine capable of evolving solutions to many problems as well as training learning algorithms.

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.

Generate high-quality triangulated and polygonal art from images.

Blue Brain Python Optimisation Library

Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

A neuroevolution game experiment.

A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

Finding an optimal Blackjack strategy using AI

EXONA: The Evolutionary eXploration of Neural Networks Framework -- EXACT, EXALT and EXAMM

Evolutionary algorithms library for the web 🧬

Evolutionary & genetic algorithms for Julia

This program evolves an AI using the NEAT algorithm to play Super Mario Bros.

Purely functional genetic algorithms for multi-objective optimisation

Symbolic regression solver, based on genetic programming methodology.

Solved using AI techniques: Savings, Sweep, Genetic Algorithm, Google OR Tools

Solve multi-objective optimization problems with distributed evolutionary algorithms

Implement the-state-of-the-art meta-heuristic algorithms using python (numpy)

A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)

Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.

An Elixir Evolutive Neural Network framework à la G.Sher

Self driving cars using NEAT

遗传算法 - Matlab

Evolving simple organisms using a genetic algorithm and deep learning from scratch with python

An AIMGP (Automatic Induction of Machine code by Genetic Programming) engine

simple neural network library in ANSI C

Distributed implementation of popular evolutionary methods

Time Table generation using Genetic Algorithms ( Java-Struts2)

Some notebooks

Use a genetic algorithm to evolve an image by putting emojies on a canvas