An evolutionary computation framework for Ruby

Projects and assignments for the Artificial Intelligence Techniques to Control systems course at UCM, with topics such as: Smart control, Expert systems, Neural Networks, Logic Diffuse, Evolutionary computing, Intelligent agents

Generating Evolutionary Opponents as a Reinforcement Guided Exploration Solution

GrafoRVFL: A Gradient-Free Optimization Framework for Boosting Random Vector Functional Link Network

Transfer learning on head pose estimation problem enhanced by neural architecture search.

High-performance Evolutionary TSP Solver with Gamified Streamlit UI. Features Hybrid GA (Genetic Algorithm) + 3-Opt Local Search, TSPLIB support (EUC_2D/ATT), and real-time visualization.

A pure-MATLAB library of EVolutionary (population-based) OPTimization for Large-Scale black-box continuous Optimization (evopt-lso).

This repository includes all my notes material about Evolutionary Computing lesson. Those notes based from Introduction to Evolutionary Computing 2nd Edition book.

A comprehensive collection of evolutionary AI projects built with NEAT algorithm showcasing intelligent behavior development in Car, Snake, and Pong games.

Evolutionary solution to the N-Queens problem.

A block-based neural network trained by genetic algorithm

Solving N-Queens problem by Simple Genetic Algorithm in Python.

An evolutionary algorithm library in Java

MATLAB implementation of Genetic Algorithms, Differential Evolution, and Fuzzy Logic with results and visualizations.

Repository for Implementation of Traveling Salesman Problem Hybrid Genetic Algorithm with 2-opt Heuristic Local Search

Evolutionary framework in pure C

Final project for the Evolutionary Computing course at UvA

✨ A dynamic visualization of the Travelling Salesman Problem designed to explore evolutionary computation.

Complete Chrome Dino Game with AI agents trained using NEAT neuroevolution. Features real-time neural network visualization and population-based evolution with 150+ agents.