Publications
Journal Articles & Book Chapters
Y. Gonzalez-Fernandez, S. Hamidi, S. Chen, S. Liaskos (2019).
Efficient Elicitation of Software Configurations Using Crowd Preferences and Domain Knowledge .
Automated Software Engineering , 26(1), 87–123.
S. Chen, J. Montgomery, A. Bolufé-Röhler, Y. Gonzalez-Fernandez (2015).
A Review of Thresheld Convergence .
GECONTEC : Revista Internacional de Gestión del Conocimiento y la Tecnología , 3(1), 1–13.
M. Soto, Y. Gonzalez-Fernandez, A. Ochoa (2015).
Modeling with Copulas and Vines in Estimation of Distribution Algorithms .
Revista Investigación Operacional , 36(1), 1–23.
Y. Gonzalez-Fernandez, M. Soto (2014).
copulaedas: An R Package for Estimation of Distribution Algorithms Based on Copulas .
Journal of Statistical Software , 58(9), 1–34.
M. Soto, A. Ochoa, Y. Gonzalez-Fernandez, Y. Milanés, A. Álvarez, D. Carrera, and E. Moreno (2012).
Vine Estimation of Distribution Algorithms with Application to Molecular Docking .
In S. Shakya and R. Santana (eds.), Markov Networks in Evolutionary Computation , 209–225. Springer.
Conference Proceedings
S. Chen, I. Abdulselam, N. Yadollahpour, Y. Gonzalez-Fernandez (2020).
Particle Swarm optimization with pbest Perturbations .
In IEEE Congress on Evolutionary Computation , 1–8. IEEE .
Y. Gonzalez-Fernandez, S. Chen (2015).
Leaders and Followers – A New Metaheuristic to Avoid the Bias of Accumulated Information .
In IEEE Congress on Evolutionary Computation , 776–783. IEEE .
Y. Gonzalez-Fernandez, S. Chen (2014).
Identifying and Exploiting the Scale of a Search Space in Particle Swarm Optimization .
In Conference on Genetic and Evolutionary Computation , 17–24. ACM .
J. Montgomery, S. Chen, Y. Gonzalez-Fernandez (2014).
Identifying and Exploiting the Scale of a Search Space in Differential Evolution .
In IEEE Congress on Evolutionary Computation , 1427–1434. IEEE .
Y. Gonzalez-Fernandez, D. Carrera, M. Soto, A. Ochoa (2012).
Vine Estimation of Distribution Algorithms .
In VIII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados , 1–7.
Theses
Technical Reports