Teaching

Current doctoral students

Cristina Esteban Saster

Cristian Valdés Pérez

Maite del Corte Sanz

Past doctoral students

Dr. David J. Poza (Doctoral special award in Engineering- Universidad de Valladolid)

Dra. Virginia Ahedo (Doctoral special award in Engineering and Architecture - Universidad de Burgos)

Dra. Silvia Díaz-de la Fuente (Nominated for the Doctoral special award in Humanities and Communication - Universidad de Burgos)

Past postdoctoral fellows

Dra. María Pereda (Universidad Politécnica de Madrid)

If you're my student at the University of Burgos, you should visit the following link:

Ubuvirtual

Crossover Operators in Genetic Algorithms

An interactive teaching tool that shows, step by step, how crossover operators combine two parent solutions in genetic algorithms. It covers binary, real-valued and permutation representations through animations, practice exercises and comparisons between operators. Students can change the parents and operator parameters to explore what each method preserves and why some operators are unsuitable for certain representations.

You can find the web app here: https://josemagalan.github.io/crossover-ga/

Source Code: https://github.com/josemagalan/crossover-ga

A paper describing this tool is in preparation.

Visualizing Selection Pressure in Genetic Algorithms: An Interactive Tool for Convergence and Diversity Analysis

An interactive web application for exploring how selection mechanisms affect convergence and population diversity in genetic algorithms. Users can adjust selection parameters, run repeated simulations, and compare methods including tournament, roulette wheel, stochastic universal sampling, rank, truncation, and Boltzmann selection. The tool visualizes changes in fitness and diversity over generations to support teaching and experimentation.

You can find the web app here: https://josemagalan.shinyapps.io/SelectionMechanisms/

Source Code: https://github.com/josemagalan/SelectionMechanisms

If you use it, please reference this work:

Galán, J.M., Díaz-de la Fuente, S., Ahedo, V., Pereda, M., Santos, J.I. Visualizing Selection Pressure in Genetic Algorithms: An Interactive Tool for Convergence and Diversity Analysis. Accepted for publication in Lecture Notes on Data Engineering and Communications Technologies; publication details pending.

Interactive Visualization of Genetic Algorithm Solutions for the Traveling Salesman Problem: An Educational Tool

An educational tool for visualizing genetic algorithm solutions for the Traveling Salesman Problem. The tool, developed as a web-based application, provides an interactive experience to explore the algorithm's approach to the problem. The application graphically represents the evolution of solutions over generations, offering insights into the algorithm's convergence and effectiveness. Key features include visualizations of the fitness evolution, optimal solutions, and the entire solution population, enhancing comprehension of the algorithmic processes and decision-making in optimization challenges.

You can find the web app here: https://evotraveller.streamlit.app/

Source Code: https://github.com/jismartin/evotraveller

If you use it, please reference this work:

Santos, J., Ahedo, V., Pereda, M., Galán, J. (2025). Interactive Visualization of Genetic Algorithm Solutions for the Traveling Salesman Problem: An Educational Tool. In: Carrasco-Gallego, R., Moreno-Serna, J., Gutierrez, M., Avilés-Palacios, C. (eds) Organizational Engineering, Coping with Complexity. CIO 2024. Lecture Notes on Data Engineering and Communications Technologies, vol 239. Springer, Cham. https://doi.org/10.1007/978-3-031-82334-3_2

NetLogo Teaching Tool to Illustrate the Cooling Process in Simulated Annealing Using the Metropolis Model

In this work, we present a teaching tool implemented in NetLogo that illustrates the metaphor of both processes and the effect of annealing cooling schedules on the quality of the solutions obtained.

The tool can be downloaded from https://www.comses.net/codebases/6088b061-d836-4f98-9945-0601aafe0570/releases/1.0.0/ in two different versions (A and B), which differ in the type of dynamic visualization offered.

If you use it, please reference this work:

Santos, J.I., Pereda, M., Ahedo, V., Galán, J.M. (2023). NetLogo Teaching Tool to Illustrate the Cooling Process in Simulated Annealing Using the Metropolis Model. In: Izquierdo, L.R., Santos, J.I., Lavios, J.J., Ahedo, V. (eds) Industry 4.0: The Power of Data. Lecture Notes in Management and Industrial Engineering, vol 160, pp.19-27. Springer, Cham. https://doi.org/10.1007/978-3-031-29382-5_3

NetExtractor

NetExtractor is a web software to generate interaction networks between characters from script movies (in imsdb database) or novels (in ePub format).

The original web application is currently unavailable. Project documentation.

If you use it, please reference this work:

Cabrejas-Arce L.M., Navarro J., Ahedo V., Galán J.M. (2021) NetExtractor. A Semi-automatic Educational Tool for Network Extraction Conceived to Differentiate by Student Interest. In: Herrero Á., Cambra C., Urda D., Sedano J., Quintián H., Corchado E. (eds) The 11th International Conference on EUropean Transnational Educational (ICEUTE 2020). ICEUTE 2020. Advances in Intelligent Systems and Computing, vol 1266. Springer, Cham. https://doi.org/10.1007/978-3-030-57799-5_22

Online lessons (Mostly in Spanish)

Curso completo de teoría de redes (in Spanish) - Course in Network Science

Other teaching stuff

Gamification in Management Engineering: Video · Interactive games repository · Learning assistant · Code and documentation

Lecture notes in MS Project (In Spanish). Apuntes MS Project

Blog-Complejidad en la UBU. Ubucomplexity

Tragedy of the commons

Economía y Mathematica (ejercicios resueltos)

Google Sites

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