Genetic-algorithm Packages

Simple genetic algorithm helper class. Supports asynchronous fitness evaluation.

A lightweight genetic algorithm library.

Genetic algorithm

Simple and clear JavaScript class for genetic algorithms. Contains helpful functions to get you going.

An advanced cryptocurrency trading framework for TypeScript

Machine learning library written in javascript

An Evolutionary Algorithm in JavaScript that takes in a generic module that represents a problem to be optimized

TinyNEAT is a tiny, js-native NEAT (NeuroEvolution of Augmenting Topologies) library, meant to easily incorporate into any codebase.

A Node-RED node to simulate a basic genetic algorithm

Lightweight TypeScript neural network library with back-propagation and genetic algorithms, supporting a wide range of activation functions, all without extra build or native dependencies.

This is an ongoing project intended to make it easier to use neural network creation, genetic algorithms, and other data science and machine learning skills.

A simplistic neural network library.

A Node.js module to calculate an adaptive mutation rate for genetic algorithms.

This is an ongoing project intended to make it easier to use neural network creation, genetic algorithms, and other data science and machine learning skills.

A functional genetic algorithm library

Multiprocessing genetic algorithm implementation library

Multiprocessing genetic algorithm implementation library extension

Small framework for genetic algorithms

Simple genetic algorithm implementation