Francisco Fernandez de Vega
Francisco Fernandez de Vega
Profesor Titular de Universidad de la Universidad de Extremadura
Email verificata su unex.es
TitoloCitata daAnno
An empirical study of multipopulation genetic programming
F Fernández, M Tomassini, L Vanneschi
Genetic Programming and Evolvable Machines 4 (1), 21-51, 2003
1452003
Experimental study of multipopulation parallel genetic programming
F Fernandez, M Tomassini, W Punch, J Sanchez
Genetic Programming, 283-293, 2000
592000
Evolution of artificial terrains for video games based on accessibility
M Frade, FF de Vega, C Cotta
European Conference on the Applications of Evolutionary Computation, 90-99, 2010
562010
Modelling video games’ landscapes by means of genetic terrain programming-a new approach for improving users’ experience
M Frade, FF De Vega, C Cotta
Workshops on Applications of Evolutionary Computation, 485-490, 2008
482008
Breeding terrains with genetic terrain programming: the evolution of terrain generators
M Frade, F Fernandéz de Vega, C Cotta
International Journal of Computer Games Technology 2009, 2009
472009
Is the island model fault tolerant?
JI Hidalgo, J Lanchares, F Fernández de Vega, D Lombraña
Proceedings of the 9th annual conference companion on Genetic and …, 2007
402007
A new technique for dynamic size populations in genetic programming
M Tomassini, L Vanneschi, J Cuendet, F Fernández
Evolutionary Computation, 2004. CEC2004. Congress on 1, 486-493 Vol. 1, 2004
402004
The effect of plagues in genetic programming: A study of variable-size populations
F Fernandez, L Vanneschi, M Tomassini
Genetic Programming, 395-423, 2003
392003
Saving computational effort in genetic programming by means of plagues
F Fernandez, M Tomassini, L Vanneschi
Evolutionary Computation, 2003. CEC'03. The 2003 Congress on 3, 2042-2049 Vol. 3, 2003
372003
Test case evaluation and input domain reduction strategies for the evolutionary testing of object-oriented software
JCB Ribeiro, MA Zenha-Rela, FF de Vega
Information and Software Technology 51 (11), 1534-1548, 2009
342009
The infection algorithm: An artificial epidemic approach for dense stereo correspondence
G Olague, F Fernández, CB Pérez, E Lutton
Artificial Life 12 (4), 593-615, 2006
342006
Bloat control operators and diversity in genetic programming: A comparative study
E Alfaro-Cid, JJ Merelo, FF de Vega, AI Esparcia-Alcázar, K Sharman
Evolutionary Computation 18 (2), 305-332, 2010
312010
Discovering several robot behaviors through speciation
L Trujillo, G Olague, E Lutton, FF De Vega
Workshops on Applications of Evolutionary Computation, 164-174, 2008
312008
Speciation in behavioral space for evolutionary robotics
L Trujillo, G Olague, E Lutton, FF De Vega, L Dozal, E Clemente
Journal of Intelligent & Robotic Systems 64 (3-4), 323-351, 2011
292011
Evospace-interactive: A framework to develop distributed collaborative-interactive evolutionary algorithms for artistic design
M García-Valdez, L Trujillo, FF De Vega, JJM Guervós, G Olague
International Conference on Evolutionary and Biologically Inspired Music and …, 2013
282013
Hybrid laser pointer detection algorithm based on template matching and fuzzy rule-based systems for domotic control in real home environments
F Chávez, F Fernández, R Alcalá, J Alcalá-Fdez, G Olague, F Herrera
Applied Intelligence, 1-17, 2012
282012
Studying the influence of communication topology and migration on distributed genetic programming
F Fernández, M Tomassini, L Vanneschi
Genetic Programming, 51-63, 2001
282001
A strategy for evaluating feasible and unfeasible test cases for the evolutionary testing of object-oriented software
JCB Ribeiro, MZ Rela, FF de Vega
Proceedings of the 3rd international workshop on Automation of software test …, 2008
272008
The EvoSpace model for pool-based evolutionary algorithms
M García-Valdez, L Trujillo, JJ Merelo, FF De Vega, G Olague
Journal of Grid Computing 13 (3), 329-349, 2015
262015
EvoSpace: a distributed evolutionary platform based on the tuple space model
M García-Valdez, L Trujillo, FF De Vega, JJM Guervós, G Olague
European conference on the applications of evolutionary computation, 499-508, 2013
262013
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20