The Self-Evolving Agent Ecosystem — Trading agents that evolve through Darwinian selection and adversarial self-play
An evolutionary computation framework for Ruby
Generating Evolutionary Opponents as a Reinforcement Guided Exploration Solution
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
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.
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.
Asteroids game with AI agents trained over generations using neural networks and a genetic algorithm. Built with Pygame.
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
Repository for Implementation of Traveling Salesman Problem Hybrid Genetic Algorithm with 2-opt Heuristic Local Search
Evolutionary framework in pure C
A high-performance optimization engine designed to solve complex combinatorial problems. This solver implements custom selection, crossover, and mutation strategies to evolve optimal solutions for tasks like scheduling, resource allocation, and pathfinding.
MATLAB implementation of Genetic Algorithms, Differential Evolution, and Fuzzy Logic with results and visualizations.
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