Teaching
Current doctoral students
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 (Currently 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:
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
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/
NetExtractor
NetExtractor is a web software to generate interaction networks between characters from script movies (in imsdb database) or novels (in ePub format).
You can find the software here: http://netextractor.herokuapp.com/
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)
You can find more youtube videos here:
https://www.youtube.com/channel/UCdyoG8-b6G7aLkYb800x6wwOther teaching stuff
Lecture notes in MS Project (In Spanish). Apuntes MS Project