An evolutionary computation framework for Ruby
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Updated
May 10, 2025 - Ruby
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.
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.
An evolutionary algorithm library in Java
Evolutionary solution to the N-Queens problem.
Solving N-Queens problem by Simple Genetic Algorithm in Python.
A block-based neural network trained by genetic algorithm
Repository for Implementation of Traveling Salesman Problem Hybrid Genetic Algorithm with 2-opt Heuristic Local Search
Evolutionary framework in pure C
Complete Chrome Dino Game with AI agents trained using NEAT neuroevolution. Features real-time neural network visualization and population-based evolution with 150+ agents.
Final project for the Evolutionary Computing course at UvA
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