Neuroevolution of Augmenting Topologies in JavaScript

Published: 4 days ago (December 14, 2025 at 06:04 PM EST)

1 min read

Source: Dev.to

Overview

This project is a JavaScript‑based implementation of NEAT (Neuroevolution of Augmenting Topologies), an evolutionary algorithm developed by Kenneth O. Stanley and Risto Miikkulainen. Originally introduced in their 2002 paper, Evolving Neural Networks Through Augmenting Topologies, NEAT evolves artificial neural networks by optimizing both network weights and structures over generations. It runs in both Node.js and browser environments.

Demos

Chrome Dino game
Self‑driving car
Flappy Bird
Pole balancing
Snake
Ant simulator
XOR

Repository & Documentation

GitHub:
Documentation:

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