Synthesising Diverse and Discriminatory Sets of Instances using Novelty Search in Combinatorial Domains
Journal Article
Marrero, A., Segredo, E., Leon, C., & Hart, E. (in press)
Synthesising Diverse and Discriminatory Sets of Instances using Novelty Search in Combinatorial Domains. Evolutionary Computation,
Gathering sufficient instance data to either train algorithm-selection models or understand algorithm footprints within an instance space can be challenging. We propose an app...
What Emotions do Pre-university Students Feel when Engaged in Computational Thinking Activities?
Journal Article
Herrero-Álvarez, R., León, C., Miranda, G., Segredo, E., Socas, Ó., Cuellar-Moreno, M., & Caballero-Juliá, D. (2023)
What Emotions do Pre-university Students Feel when Engaged in Computational Thinking Activities?. International Journal of Computer Science Education in Schools, 6(2), https://doi.org/10.21585/ijcses.v6i2.180
Emotions affect how we acquire knowledge, being one of the causes of the demotivation generated at the time of studying a new field. Computer Science does not always pique the...
Computational Thinking and User Interfaces: A Systematic Review
Journal Article
Rijo-Garcia, S., Segredo, E., & Leon, C. (2022)
Computational Thinking and User Interfaces: A Systematic Review. IEEE Transactions on Education, 65(4), 647-656. https://doi.org/10.1109/te.2022.3159765
Contribution: This document presents a systematic bibliographic review that demonstrates the need to conduct research on how the user experience impacts the development of com...
Application of Multi-Objective Evolutionary Algorithms for Planning Healthy and Balanced School Lunches
Journal Article
Ramos-Pérez, J., Miranda, G., Segredo, E., León, C., & Rodríguez-León, C. (in press)
Application of Multi-Objective Evolutionary Algorithms for Planning Healthy and Balanced School Lunches. Mathematics, 9(1), 80. https://doi.org/10.3390/math9010080
Comparison between Single and Multi-Objective Evolutionary Algorithms to Solve the Knapsack Problem and the Travelling Salesman Problem
Journal Article
Mahrach, M., Miranda, G., León, C., & Segredo, E. (2020)
Comparison between Single and Multi-Objective Evolutionary Algorithms to Solve the Knapsack Problem and the Travelling Salesman Problem. Mathematics, 8(11), https://doi.org/10.3390/math8112018
One of the main components of most modern Multi-Objective Evolutionary Algorithms (MOEAs) is to maintain a proper diversity within a population in order to avoid the premature...
SCHOOLTHY: Automatic Menu Planner for Healthy and Balanced School Meals
Journal Article
Segredo, E., Miranda, G., Ramos, J. M., Leon, C., & Rodriguez-Leon, C. (2020)
SCHOOLTHY: Automatic Menu Planner for Healthy and Balanced School Meals. IEEE Access, 8, 113200-113218. https://doi.org/10.1109/access.2020.3003067
SCHOOLTHY: Automatic Menu Planner for Healthy and Balanced School Meals is a decision support tool that addresses the multi-objective menu planning problem in order to automat...
Simulador de Robótica Educativa para la promoción del Pensamiento Computacional | Educational Robotics simulator for fostering Computational Thinking
Journal Article
Ángel-Díaz, C. M., Segredo, E., Arnay, R., & León, C. (2020)
Simulador de Robótica Educativa para la promoción del Pensamiento Computacional | Educational Robotics simulator for fostering Computational Thinking. RED. Revista de Educación a Distancia, 20(63), https://doi.org/10.6018/red.410191
Este trabajo presenta una herramienta Web libre y gratuita que facilita a cualquier centro educativo la enseñanza de conceptos básicos sobre robótica y programación y que, al ...
A similarity-based neighbourhood search for enhancing the balance exploration–exploitation of differential evolution
Journal Article
Segredo, E., Lalla-Ruiz, E., Hart, E., & Voß, S. (2020)
A similarity-based neighbourhood search for enhancing the balance exploration–exploitation of differential evolution. Computers and Operations Research, 117, https://doi.org/10.1016/j.cor.2019.104871
The success of search-based optimisation algorithms depends on appropriately balancing exploration and exploitation mechanisms during the course of the search. We introduce a ...
Optimising Real-World Traffic Cycle Programs by Using Evolutionary Computation
Journal Article
Segredo, E., Luque, G., Segura, C., & Alba, E. (2019)
Optimising Real-World Traffic Cycle Programs by Using Evolutionary Computation. IEEE Access, 7, 43915-43932. https://doi.org/10.1109/ACCESS.2019.2908562
Traffic congestion, and the consequent loss of time, money, quality of life, and higher pollution, is currently one of the most important problems in cities, and several approa...
Selection methods and diversity preservation in many-objective evolutionary algorithms
Journal Article
Martí, L., Segredo, E., Sánchez-Pi, N., & Hart, E. (2018)
Selection methods and diversity preservation in many-objective evolutionary algorithms. Data Technologies and Applications, https://doi.org/10.1108/dta-01-2018-0009
Purpose – One of the main components of multi-objective, and therefore, many-objective evolutionary algorithms is the selection mechanism. It is responsible for performing two...