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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
1592003
Evolution of artificial terrains for video games based on accessibility
M Frade, FF de Vega, C Cotta
Applications of Evolutionary Computation: EvoApplicatons 2010: EvoCOMPLEX …, 2010
692010
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
612009
Modelling video games’ landscapes by means of genetic terrain programming-a new approach for improving users’ experience
M Frade, FF De Vega, C Cotta
Applications of Evolutionary Computing: EvoWorkshops 2008: EvoCOMNET, EvoFIN …, 2008
552008
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
462007
The effect of plagues in genetic programming: A study of variable-size populations
F Fernandez, L Vanneschi, M Tomassini
Genetic Programming, 395-423, 2003
442003
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
422010
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
422004
The EvoSpace model for pool-based evolutionary algorithms
M García-Valdez, L Trujillo, JJ Merelo, F Fernandez de Vega, G Olague
Journal of Grid Computing 13, 329-349, 2015
392015
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
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
352006
Automatic evolution of programs for procedural generation of terrains for video games: Accessibility and edge length constraints
M Frade, FF de Vega, C Cotta
Soft Computing 16, 1893-1914, 2012
342012
Speciation in behavioral space for evolutionary robotics
L Trujillo, G Olague, E Lutton, F Fernandez de Vega, L Dozal, E Clemente
Journal of Intelligent & Robotic Systems 64, 323-351, 2011
342011
Discovering several robot behaviors through speciation
L Trujillo, G Olague, E Lutton, F Fernández de Vega
Applications of Evolutionary Computing: EvoWorkshops 2008: EvoCOMNET, EvoFIN …, 2008
322008
Evospace-interactive: A framework to develop distributed collaborative-interactive evolutionary algorithms for artistic design
M García-Valdez, L Trujillo, FF de Vega, JJ Merelo Guervós, G Olague
Evolutionary and Biologically Inspired Music, Sound, Art and Design: Second …, 2013
312013
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
302012
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
292008
A study of diversity in multipopulation genetic programming
M Tomassini, L Vanneschi, F Fernández, G Galeano
Artificial Evolution, 243-255, 2004
282004
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