Francisco Fernandez de Vega
Francisco Fernandez de Vega
Professor Computer Architectures
Verified email at unex.es
Title
Cited by
Cited by
Year
An empirical study of multipopulation genetic programming
F Fernández, M Tomassini, L Vanneschi
Genetic Programming and Evolvable Machines 4 (1), 21-51, 2003
1542003
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
642010
Experimental study of multipopulation parallel genetic programming
F Fernandez, M Tomassini, W Punch, J Sanchez
Genetic Programming, 283-293, 2000
632000
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
542009
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
502008
The effect of plagues in genetic programming: A study of variable-size populations
F Fernandez, L Vanneschi, M Tomassini
Genetic Programming, 395-423, 2003
432003
Is the island model fault tolerant?
JI Hidalgo, J Lanchares, F Fernández de Vega, D Lombrana
Proceedings of the 9th annual conference companion on Genetic and …, 2007
422007
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
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
382009
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
362003
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
352010
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
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
332015
Discovering several robot behaviors through speciation
L Trujillo, G Olague, E Lutton, FF De Vega
Workshops on Applications of Evolutionary Computation, 164-174, 2008
322008
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), 323-351, 2011
312011
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
302013
Automatic evolution of programs for procedural generation of terrains for video games
M Frade, FF de Vega, C Cotta
Soft Computing 16 (11), 1893-1914, 2012
282012
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
282008
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
272012
A study of diversity in multipopulation genetic programming
M Tomassini, L Vanneschi, F Fernández, G Galeano
Artificial Evolution, 243-255, 2004
272004
The system can't perform the operation now. Try again later.
Articles 1–20