Miguel García López (Migue8gl)

Migue8gl

Geek Repo

Company:University of Granada

Location:Spain

Home Page:migue8gl@gmail.com

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Miguel García López's repositories

CyberSec-scripts

Repository to store some Python scripts. The main goal is to learn and develop new things.

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ED-UGR

Repository for the subject Data Structures (Estructuras de Datos) in the Computer Engineering's Degree at the UGR.

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IG-UGR

Repository for the subject Computer Graphics (Informática Gráfica) in Computer Engineering's Degree at the UGR

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AA-UGR

Repository for the subject Machine Learning (Aprendizaje Automático) in Computer Engineering's Degree at the UGR

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BelkanGame

Small game that implements several basic pathfinding algorithms, such as Breadth First-Search, Depth First-Search and others.

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CivitasJavaV2

Modified version of the well-known game Monopoly. Created in Java using NetBeans.

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Conecta4Boom

Implementation of the famous game Connect4 with a modification and a heuristic AI.

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Genetic-and-Memetic-Algorithms

Poblation techniques for the Weight Learning Problem.

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Optimization-MH

Optimization metaheuristic algorithms for machine learning projects in C++.

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Constrain-Satisfaction-Problems

Use of MiniZinc to solve "toy" constraint satisfaction problems.

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Game-Pathfinding-Agents

Development of agents based on heuristic search tecniques.

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Local-Search-and-Greedy-Algorithms

Greddy and Local Search techniques for the Weight Learning Problem.

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Migue8gl

Personal repository for README

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Monarch-Butterfly-Optimization

Monarch butterfly optimization (MBO) algorithm inspired by the migration behavior of monarch butterflies. Implemented in C++.

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PDDL-Game-Plannification

An approach to PDDL (a domain planning language) for problem solving in a management type game.

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PTC-UGR

Repository for PTC subject from University of Granada

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SCD-UGR

Repository for the subject Concurrent and Distributed Systems (Sistemas Concurrentes y Distribuidos) in the Computer Engineering's Degree at the UGR.

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Scrabble

C++ implementation of the famous game Scrabble.

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SimulatedAnnealing-ILS-MultiStart-Search

Trajectory techniques for the Weight Learning Problem.

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