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ORCIDFrancisco Fernández de Vega
Francisco Fernández 0001
Person information
- affiliation: University of Extremadura, Department of Computer Science, Mérida, Spain
Other persons with the same name
- Francisco Fernández — disambiguation page
- Francisco Fernández 0002
![[0000-0002-3732-3415]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3732-3415")
— University of Salamanca, IUFFyM, Spain
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2020 – today
- 2023
[c108]Francisco Fernández de Vega, Jorge Alvarado, Abel Sánchez, Manuel Serrano, Elia Pacioni:
Evolutionary Algorithms: A new hope for the future of music teaching. GECCO Companion 2023: 65-66- [c107]Juan Villegas-Cortéz, Graciela Román-Alonso, Francisco Fernández de Vega, Yafte A. Flores-Morales, Salomón Cordero-Sánchez:
Implementation of Parallel Evolutionary Convolutional Neural Network for Classification in Human Activity and Image Recognition. MICAI (1) 2023: 327-345 - [i7]J. Alvarado, J. Manuel Velasco, F. Chávez, José Ignacio Hidalgo, Francisco Fernández de Vega:
Patterns Detection in Glucose Time Series by Domain Transformations and Deep Learning. CoRR abs/2303.17616 (2023) - 2022
- [c106]Francisco Fernández de Vega, Jorge Alvarado, Juan Villegas-Cortéz:
Optical Music recognition and Deep Learning: An application to 4-part harmony. CEC 2022: 1-7 - [c105]Carlos Andreu-Vilarroig, Josu Ceberio, Juan Carlos Cortés, Francisco Fernández de Vega, José Ignacio Hidalgo, Rafael-Jacinto Villanueva:
Evolutionary approach to model calibration with uncertainty: an application to breast cancer growth model. GECCO Companion 2022: 1895-1901 - [c104]Josu Ceberio, Juan Carlos Cortés, Francisco Fernández de Vega, Oscar Garnica, José Ignacio Hidalgo, J. Manuel Velasco, Rafael-Jacinto Villanueva:
Approaching epistemic and aleatoric uncertainty with evolutionary optimization: examples and challenges. GECCO Companion 2022: 1909-1915 - 2021
- [j39]Juan Villegas-Cortéz, César Benavides-Álvarez, Carlos Avilés-Cruz, Graciela Román-Alonso, Francisco Fernández de Vega, Francisco Chávez, Salomón Cordero-Sánchez:
Interest points reduction using evolutionary algorithms and CBIR for face recognition. Vis. Comput. 37(7): 1883-1897 (2021) - [c103]Jorge Alvarado, J. Manuel Velasco, Francisco Chávez de la O, José Ignacio Hidalgo, Francisco Fernández de Vega:
Blood Glucose Prediction Using a Two Phase TSK Fuzzy Rule Based System. CEC 2021: 712-719 - [c102]Rolando Miragaia, Francisco Fernández de Vega, Gustavo Reis:
Evolving a multi-classifier system with cartesian genetic programming for multi-pitch estimation of polyphonic piano music. SAC 2021: 472-480 - [p7]Francisco Fernández de Vega, Cayetano Cruz, Patricia Hernández Rondan, Mario García Valdez:
Looking for Emotions in Evolutionary Art. Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms 2021: 203-220 - 2020
- [j38]Francisco Fernández de Vega, Gustavo Olague, Daniel Lanza, Francisco Chávez de la O, Wolfgang Banzhaf, Erik D. Goodman, Jose Menendez-Clavijo, Axel Martinez:
Time and Individual Duration in Genetic Programming. IEEE Access 8: 38692-38713 (2020) - [c101]Francisco Fernández de Vega, M. C. García, Francisco Chávez de la O:
Mayors vs. STEM: The sad story of a big success in increasing STEM vocations. FIE 2020: 1-5 - [c100]Rolando Miragaia, Gustavo Reis, Francisco Fernández de Vega, Francisco Chávez:
Multi Pitch Estimation of Piano Music using Cartesian Genetic Programming with Spectral Harmonic Mask. SSCI 2020: 1800-1807 - [e4]Pedro A. Castillo, Juan Luis Jiménez Laredo, Francisco Fernández de Vega:
Applications of Evolutionary Computation - 23rd European Conference, EvoApplications 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15-17, 2020, Proceedings. Lecture Notes in Computer Science 12104, Springer 2020, ISBN 978-3-030-43721-3 [contents] - [i6]Francisco Fernández de Vega, Gustavo Olague, Francisco Chávez de la O, Daniel Lanza, Wolfgang Banzhaf, Erik D. Goodman:
It is Time for New Perspectives on How to Fight Bloat in GP. CoRR abs/2005.00603 (2020)
2010 – 2019
- 2019
- [j37]Perla Juárez-Smith, Leonardo Trujillo, Mario García Valdez, Francisco Fernández de Vega, Francisco Chávez de la O:
Local search in speciation-based bloat control for genetic programming. Genet. Program. Evolvable Mach. 20(3): 351-384 (2019) - [c99]Francisco Fernández de Vega, Josefa Díaz, Juan Ángel García, Francisco Chávez de la O, Jorge Alvarado:
Looking for Energy Efficient Genetic Algorithms. EA 2019: 96-109 - [c98]Francisco Chávez de la O, Antonio Vivas, María José Moñino, Francisco Fernández:
METSK-HD-Angeleno: How to predict fruit quality using Multiobjective Evolutionary learning of TSK systems. CEC 2019: 1251-1258 - [c97]Francisco Fernández de Vega:
To Be, or Not To Be: That is the Recursive Question. EDUCON 2019: 1294-1299 - [c96]Francisco Fernández de Vega, Gustavo Olague, Francisco Chávez de la O, Daniel Lanza, Wolfgang Banzhaf, Erik D. Goodman:
It Is Time for New Perspectives on How to Fight Bloat in GP. GPTP 2019: 25-38 - 2018
- [j36]Josefa Díaz Álvarez, Francisco Chávez de la O, Pedro A. Castillo, Juan Ángel García Martínez, Francisco J. Rodriguez, Francisco Fernández de Vega:
A fuzzy rule-based system to predict energy consumption of genetic programming algorithms. Comput. Sci. Inf. Syst. 15(3): 635-654 (2018) - [j35]David Camacho, Carlos Cotta, Juan Julián Merelo Guervós, Francisco Fernández de Vega:
Bioinspired Algorithms in Complex Ephemeral Environments. Future Gener. Comput. Syst. 88: 732-734 (2018) - [j34]David Camacho, Raúl Lara-Cabrera, Juan Julián Merelo Guervós, Pedro A. Castillo, Carlos Cotta, Antonio José Fernández Leiva, Francisco Fernández de Vega, Francisco Chávez de la O:
From ephemeral computing to deep bioinspired algorithms: New trends and applications. Future Gener. Comput. Syst. 88: 735-746 (2018) - [j33]José Ignacio Hidalgo, Francisco Fernández de Vega:
Special issue on "Evolutionary Algorithms on Parallel Architectures and Distributed Infrastructures". Int. J. High Perform. Comput. Appl. 32(5): 674-675 (2018) - [j32]Francisco Chávez de la O, Francisco Fernández de Vega, Daniel Lanza, César Benavides-Álvarez, Juan Villegas-Cortéz, Leonardo Trujillo, Gustavo Olague, Graciela Román-Alonso:
Deploying massive runs of evolutionary algorithms with ECJ and Hadoop: Reducing interest points required for face recognition. Int. J. High Perform. Comput. Appl. 32(5): 706-720 (2018) - [j31]Francisco Fernández de Vega, Federico Divina, José Ignacio Hidalgo, Meng-Hiot Lim:
Editorial. Memetic Comput. 10(3): 243-244 (2018) - [c95]Rolando Miragaia, Gustavo Reis, Francisco Fernández, Tiago Inacio, Carlos Grilo:
CGP4Matlab - A Cartesian Genetic Programming MATLAB Toolbox for Audio and Image Processing. EvoApplications 2018: 455-471 - [c94]Francisco Fernández de Vega, M. Concepcion Garcia, Francisco Chávez de la O:
On the impact of STEM sustained actions on the future of young students. FIE 2018: 1-4 - [c93]Francisco Chávez de la O, Francisco Fernández de Vega, Josefa Díaz, Juan Ángel García, Francisco J. Rodríguez, Pedro A. Castillo:
Energy-consumption prediction of genetic programming algorithms using a fuzzy rule-based system. GECCO (Companion) 2018: 9-10 - 2017
- [c92]Francisco Fernández de Vega:
Revisiting the 4-part harmonization problem with GAs: A critical review and proposals for improving. CEC 2017: 1271-1278 - [c91]Josefa Díaz Álvarez, Francisco Chávez de la O, Juan Ángel García Martínez, Pedro Ángel Castillo Valdivieso, Francisco Fernández de Vega:
Estimating Energy Consumption in Evolutionary Algorithms by Means of FRBS - Towards Energy-Aware Bioinspired Algorithms. EPIA 2017: 229-240 - [c90]Francisco Fernández de Vega, M. Concepcion Garcia, Francisco Chávez de la O:
Involving local administrations in STEM promotion: How to extend STEM initiatives to a whole region. FIE 2017: 1-7 - [c89]Mario García Valdez, José C. Romero, Alejandra Mancilla, Juan Julián Merelo Guervós, Francisco Fernández de Vega:
Gamification techniques in collaborative interactive evolutionary computation. GECCO (Companion) 2017: 87-88 - [c88]Francisco Chávez de la O, Francisco Fernández de Vega, Francisco J. Rodriguez Diaz:
Analyzing quality clarinet sound using deep learning. A preliminary study. SSCI 2017: 1-7 - 2016
- [j30]Carlos Cotta, Antonio José Fernández Leiva, Francisco Fernández de Vega, Francisco Chávez de la O, Juan Julián Merelo Guervós, Pedro A. Castillo, David Camacho, María D. R.-Moreno:
Application Areas of Ephemeral Computing: A Survey. Trans. Comput. Collect. Intell. 24: 153-167 (2016) - [c87]Lilian Navarro Moreno, Francisco Fernández de Vega, Patricia Hernández Rondan, Cayetano Jose Cruz Garcia, Jose Vicente Albarran Fernandez:
Analysing creative models based on unplugged evolutionary algorithms. CEC 2016: 4570-4577 - [c86]Francisco Chávez de la O, Francisco Fernández, César Benavides-Álvarez, Daniel Lanza, Juan Villegas-Cortéz, Leonardo Trujillo, Gustavo Olague, Graciela Román-Alonso:
ECJ+HADOOP: An Easy Way to Deploy Massive Runs of Evolutionary Algorithms. EvoApplications (2) 2016: 91-106 - [c85]Francisco Fernández de Vega, Francisco Chávez de la O, Josefa Díaz, Juan Ángel García, Pedro A. Castillo, Juan Julián Merelo Guervós, Carlos Cotta:
A Cross-Platform Assessment of Energy Consumption in Evolutionary Algorithms - Towards Energy-Aware Bioinspired Algorithms. PPSN 2016: 548-557 - [c84]Tiago Inacio, Rolando Miragaia, Gustavo Reis, Carlos Grilo, Francisco Fernández:
Cartesian genetic programming applied to pitch estimation of piano notes. SSCI 2016: 1-7 - 2015
- [j29]Eddie Clemente, Francisco Chávez de la O, Francisco Fernández de Vega, Gustavo Olague:
Self-adjusting focus of attention in combination with a genetic fuzzy system for improving a laser environment control device system. Appl. Soft Comput. 32: 250-265 (2015) - [j28]Francisco Fernández de Vega, Palle Dahlstedt, Chuan-Kang Ting:
Special issue on creative intelligence. Evol. Intell. 8(1): 1-2 (2015) - [j27]José Ignacio Hidalgo, Francisco Fernández de Vega:
Parallel Bioinspired Algorithms on the Grid and Cloud - Guest editor message to the Special Issue. J. Grid Comput. 13(3): 305-308 (2015) - [j26]Mario García Valdez, Leonardo Trujillo, Juan Julián Merelo Guervós, Francisco Fernández de Vega, Gustavo Olague:
The EvoSpace Model for Pool-Based Evolutionary Algorithms. J. Grid Comput. 13(3): 329-349 (2015) - [c83]Francisco Chávez de la O, Eddie Clemente, Daniel E. Hernández, Francisco Fernández de Vega, Gustavo Olague:
A Multi-objective Evolutionary Algorithm for Interaction Systems Based on Laser Pointers. EvoApplications 2015: 504-516 - [c82]Francisco Fernández de Vega:
Evolutionary Algorithms: Perspectives on the Evolution of Parallel Models. IDC 2015: 13-22 - [c81]Carlos Cotta, Antonio José Fernández Leiva, Francisco Fernández de Vega, Francisco Chávez de la O, Juan Julián Merelo Guervós, Pedro A. Castillo, David Camacho, Gema Bello Orgaz:
Ephemeral Computing and Bioinspired Optimization. IJCCI (ECTA) 2015: 319-324 - [c80]Daniel Lanza, Francisco Chávez de la O, Francisco Fernández, Mario García Valdez, Leonardo Trujillo, Gustavo Olague:
Profiting from Several Recommendation Algorithms Using a Scalable Approach. NEO 2015: 357-375 - [r1]José Carlos Bregieiro Ribeiro, Ana Filipa Nogueira, Francisco Fernández de Vega, Mário Alberto Zenha-Rela:
eCrash: a Genetic Programming-Based Testing Tool for Object-Oriented Software. Handbook of Genetic Programming Applications 2015: 575-593 - 2014
- [j25]Juan Luis Jiménez Laredo, Pascal Bouvry, Daniel Lombraña González, Francisco Fernández de Vega, Maribel García Arenas, Juan Julián Merelo Guervós, Carlos M. Fernandes:
Designing robust volunteer-based evolutionary algorithms. Genet. Program. Evolvable Mach. 15(3): 221-244 (2014) - [j24]Francisco Fernández de Vega, Cayetano Cruz, Lilian Navarro, Patricia Hernández Rondan, Tania Gallego, Luis Espada:
Unplugging Evolutionary Algorithms: an experiment on human-algorithmic creativity. Genet. Program. Evolvable Mach. 15(4): 379-402 (2014) - [j23]Ana Filipa Nogueira, José Carlos Bregieiro Ribeiro, Francisco Fernández de Vega, Mário Alberto Zenha-Rela:
Object-Oriented Evolutionary Testing: A Review of Evolutionary Approaches to the Generation of Test Data for Object-Oriented Software. Int. J. Nat. Comput. Res. 4(4): 15-35 (2014) - [c79]Francisco Fernández de Vega, Tania Gallego, Mario García Valdez, Luis Espada, Lilian Navarro, V. Albarran:
When artists met EvoSpace-i. IEEE Congress on Evolutionary Computation 2014: 2282-2289 - [c78]Mario García Valdez, Juan Julián Merelo Guervós, Francisco Fernández de Vega:
Unreliable Heterogeneous Workers in a Pool-Based Evolutionary Algorithm. EvoApplications 2014: 726-737 - [c77]Mario García Valdez, Leonardo Trujillo, Juan Julián Merelo Guervós, Francisco Fernández de Vega:
Randomized Parameter Settings for Heterogeneous Workers in a Pool-Based Evolutionary Algorithm. PPSN 2014: 702-710 - 2013
- [j22]José Ignacio Hidalgo, Francisco Fernández de Vega:
Special issue on parallel architectures and bioinspired algorithm: guest editors message. Concurr. Comput. Pract. Exp. 25(8): 1013-1014 (2013) - [j21]Juan Lanchares, Oscar Garnica, Francisco Fernández de Vega, José Ignacio Hidalgo:
A review of bioinspired computer-aided design tools for hardware design. Concurr. Comput. Pract. Exp. 25(8): 1015-1036 (2013) - [j20]Juan Julián Merelo Guervós, Maribel García Arenas, David Corne, Juan Luis Jiménez Laredo, Francisco Fernández de Vega:
Preface. Nat. Comput. 12(2): 133-134 (2013) - [j19]Francisco Fernández de Vega, Gustavo Olague, Leonardo Trujillo, Daniel Lombraña Gonzalez:
Customizable execution environments for evolutionary computation using BOINC + virtualization. Nat. Comput. 12(2): 163-177 (2013) - [c76]Mario García Valdez, Alejandra Mancilla, Leonardo Trujillo, Juan Julián Merelo Guervós, Francisco Fernández de Vega:
Is there a free lunch for cloud-based evolutionary algorithms? IEEE Congress on Evolutionary Computation 2013: 1255-1262 - [c75]Francisco Fernández de Vega, Lilian Navarro, Cayetano Cruz, Francisco Chávez de la O, Luis Espada, Patricia Hernández Rondan, Tania Gallego:
Unplugging evolutionary algorithms: On the sources of novelty and creativity. IEEE Congress on Evolutionary Computation 2013: 2856-2863 - [c74]Leonardo Trujillo, Mario García Valdez, Francisco Fernández de Vega, Juan Julián Merelo Guervós:
Fireworks: Evolutionary art project based on EvoSpace-interactive. IEEE Congress on Evolutionary Computation 2013: 2871-2878 - [c73]Mario García Valdez, Leonardo Trujillo, Francisco Fernández de Vega, Juan Julián Merelo Guervós, Gustavo Olague:
EvoSpace-Interactive: A Framework to Develop Distributed Collaborative-Interactive Evolutionary Algorithms for Artistic Design. EvoMUSART 2013: 121-132 - [c72]Mario García Valdez, Leonardo Trujillo, Francisco Fernández de Vega, Juan Julián Merelo Guervós, Gustavo Olague:
EvoSpace: A Distributed Evolutionary Platform Based on the Tuple Space Model. EvoApplications 2013: 499-508 - [c71]Eddie Clemente, Francisco Chávez de la O, León Dozal, Francisco Fernández de Vega, Gustavo Olague:
Self-adjusting focus of attention by means of GP for improving a laser point detection system. GECCO 2013: 1237-1244 - [c70]Mario García Valdez, Juan Julián Merelo Guervós, Leonardo Trujillo, Francisco Fernández de Vega, José C. Romero, Alejandra Mancilla:
EvoSpace-i: a framework for interactive evolutionary algorithms. GECCO (Companion) 2013: 1301-1308 - [c69]Ana Filipa Nogueira, José Carlos Bregieiro Ribeiro, Francisco Fernández de Vega, Mário Alberto Zenha-Rela:
eCrash: An Empirical Study on the Apache Ant Project. SSBSE 2013: 282-287 - 2012
- [j18]Francisco Chávez de la O, Francisco Fernández, Rafael Alcalá, Jesús Alcalá-Fdez, Gustavo Olague, Francisco Herrera:
Hybrid laser pointer detection algorithm based on template matching and fuzzy rule-based systems for domotic control in real home environments. Appl. Intell. 36(2): 407-423 (2012) - [j17]Francisco Chávez de la O, Francisco Fernández, María José Gacto, Rafael Alcalá:
Automatic Laser Pointer Detection Algorithm for Environment Control Device Systems Based on Template Matching and Genetic Tuning of Fuzzy Rule-Based Systems. Int. J. Comput. Intell. Syst. 5(2): 368-386 (2012) - [j16]Miguel Frade, Francisco Fernández de Vega, Carlos Cotta:
Automatic evolution of programs for procedural generation of terrains for video games - Accessibility and edge length constraints. Soft Comput. 16(11): 1893-1914 (2012) - [j15]Francisco Fernández de Vega, Carlos Cotta, Eduardo Reck Miranda:
Special issue on evolutionary music. Soft Comput. 16(12): 1995-1996 (2012) - [j14]Gustavo Reis, Francisco Fernández de Vega, Aníbal J. S. Ferreira:
Automatic Transcription of Polyphonic Piano Music Using Genetic Algorithms, Adaptive Spectral Envelope Modeling, and Dynamic Noise Level Estimation. IEEE Trans. Speech Audio Process. 20(8): 2313-2328 (2012) - [j13]Maribel García Arenas, Pedro A. Castillo, Francisco Fernández de Vega, Juan Julián Merelo Guervós:
Using Student Conferences to Increase Participation in the Classroom: A Case Study. IEEE Trans. Educ. 55(4): 580-581 (2012) - [c68]Miguel Frade, Francisco Fernández de Vega, Carlos Cotta:
Aesthetic Terrain Programs database for creativity assessment. CIG 2012: 350-354 - [c67]Francisco Fernández, Francisco Chávez de la O:
Fuzzy Rule Based System Ensemble for Music Genre Classification. EvoMUSART 2012: 84-95 - [c66]Carlos Miguel Fernandes, Antonio Miguel Mora, Juan Julián Merelo Guervós, Francisco Fernández, Agostinho C. Rosa:
Generating colored 2-dimensional representations of sleep EEG with the KANTS clustering algorithm. GECCO (Companion) 2012: 435-442 - [c65]Gustavo Reis, Francisco Fernández de Vega, Aníbal J. S. Ferreira:
Evolutionary algorithms and automatic transcription of music. GECCO (Companion) 2012: 477-484 - [c64]Carlos Miguel Fernandes, Juan Julián Merelo Guervós, Agostinho C. Rosa, Francisco Fernández:
Particle swarm with self-organized criticality. GECCO (Companion) 2012: 1397-1398 - [c63]Francisco J. Soltero, Diego J. Bodas-Sagi, Pablo Fernández-Blanco, José Ignacio Hidalgo, Francisco Fernández de Vega:
Optimization of technical indicators in real time with multiobjective evolutionary algorithms. GECCO (Companion) 2012: 1535-1536 - [p6]Francisco Fernández de Vega, José Ignacio Hidalgo, Juan Lanchares:
Introduction. Parallel Architectures and Bioinspired Algorithms 2012: 1-6 - [p5]Daniel Lombraña Gonzalez, Juan Luis Jiménez Laredo, Francisco Fernández de Vega, Juan Julián Merelo Guervós:
Characterizing Fault-Tolerance in Evolutionary Algorithms. Parallel Architectures and Bioinspired Algorithms 2012: 77-99 - [e3]Cecilia Di Chio, Alexandros Agapitos, Stefano Cagnoni, Carlos Cotta, Francisco Fernández de Vega, Gianni A. Di Caro, Rolf Drechsler, Anikó Ekárt, Anna Isabel Esparcia-Alcázar, Muddassar Farooq, William B. Langdon, Juan Julián Merelo Guervós, Mike Preuss, Hendrik Richter, Sara Silva, Anabela Simões, Giovanni Squillero, Ernesto Tarantino, Andrea Tettamanzi, Julian Togelius, Neil Urquhart, Sima Uyar, Georgios N. Yannakakis:
Applications of Evolutionary Computation - EvoApplications 2012: EvoCOMNET, EvoCOMPLEX, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoNUM, EvoPAR, EvoRISK, EvoSTIM, and EvoSTOC, Málaga, Spain, April 11-13, 2012, Proceedings. Lecture Notes in Computer Science 7248, Springer 2012, ISBN 978-3-642-29177-7 [contents] - [e2]Francisco Fernández de Vega, José Ignacio Hidalgo Pérez, Juan Lanchares:
Parallel Architectures and Bioinspired Algorithms. Studies in Computational Intelligence 415, Springer 2012, ISBN 978-3-642-28788-6 [contents] - 2011
- [j12]Leonardo Trujillo, Gustavo Olague, Evelyne Lutton, Francisco Fernández de Vega, León Dozal, Eddie Clemente:
Speciation in Behavioral Space for Evolutionary Robotics. J. Intell. Robotic Syst. 64(3-4): 323-351 (2011) - [c62]Francisco Fernández, Francisco Chávez de la O, Rafael Alcalá, Francisco Herrera:
Musical genre classification by means of Fuzzy Rule-Based Systems: A preliminary approach. IEEE Congress on Evolutionary Computation 2011: 2571-2577 - [c61]Juan Luis Jiménez Laredo, Daniel Lombraña Gonzalez, Francisco Fernández de Vega, Maribel García Arenas, Juan Julián Merelo Guervós:
A Peer-to-Peer Approach to Genetic Programming. EuroGP 2011: 108-117 - [c60]Francisco Chávez de la O, Francisco Fernández, Rafael Alcalá, Jesús Alcalá-Fdez, Francisco Herrera:
Evolutionary learning of a laser pointer detection fuzzy system for an environment control system. FUZZ-IEEE 2011: 256-263 - [c59]Francisco Fernández de Vega, J. G. Abengózar Sánchez, Carlos Cotta:
A Preliminary Analysis and Simulation of Load Balancing Techniques Applied to Parallel Genetic Programming. IWANN (2) 2011: 308-315 - [i5]Juan Julián Merelo Guervós, Maribel García Arenas, Juan Luis Jiménez Laredo, Francisco Fernández de Vega:
1st International Workshop on Distributed Evolutionary Computation in Informal Environments. CoRR abs/1106.0118 (2011) - [i4]Tomas Ramirez Picarzo, Francisco Fernández de Vega, Daniel Lombraña Gonzalez:
Proposal for improvement in the transfer and execution of multiple instances of a virtual image. CoRR abs/1108.0599 (2011) - 2010
- [j11]Eva Alfaro-Cid, Juan Julián Merelo Guervós, Francisco Fernández de Vega, Anna Isabel Esparcia-Alcázar, Ken Sharman:
Bloat Control Operators and Diversity in Genetic Programming: A Comparative Study. Evol. Comput. 18(2): 305-332 (2010) - [j10]Daniel Lombraña Gonzalez, Francisco Fernández de Vega, Henri Casanova:
Characterizing fault tolerance in genetic programming. Future Gener. Comput. Syst. 26(6): 847-856 (2010) - [c58]Miguel Frade, Francisco Fernández de Vega, Carlos Cotta:
Evolution of artificial terrains for video games based on obstacles edge length. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c57]José Carlos Bregieiro Ribeiro, Mário Zenha Rela, Francisco Fernández de Vega:
Enabling Object Reuse on Genetic Programming-Based Approaches to Object-Oriented Evolutionary Testing. EuroGP 2010: 220-231 - [c56]Miguel Frade, Francisco Fernández de Vega, Carlos Cotta:
Evolution of Artificial Terrains for Video Games Based on Accessibility. EvoApplications (1) 2010: 90-99 - [c55]Daniel Lombraña Gonzalez, Juan Luis Jiménez Laredo, Francisco Fernández de Vega, Juan Julián Merelo Guervós:
Characterizing Fault-Tolerance of Genetic Algorithms in Desktop Grid Systems. EvoCOP 2010: 131-142 - [c54]Francisco Chávez de la O, Francisco Fernández, Jesús Alcalá-Fdez, Rafael Alcalá, Francisco Herrera, Gustavo Olague:
Genetic tuning of a laser pointer environment control device system for handicapped people with fuzzy systems. FUZZ-IEEE 2010: 1-8 - [c53]Josefa Díaz, Francisco Fernández de Vega, José Ignacio Hidalgo, Oscar Garnica:
Parisian Approach - Reducing Computational Effort to Improve SMT Performance by setting Resizable Caches. IJCCI (ICEC) 2010: 275-280 - [c52]José Carlos Bregieiro Ribeiro, Mário Zenha Rela, Francisco Fernández de Vega:
Adaptive Evolutionary Testing: An Adaptive Approach to Search-Based Test Case Generation for Object-Oriented Software. NICSO 2010: 185-197 - [p4]Francisco Fernández de Vega, Erick Cantú-Paz:
Introduction. Parallel and Distributed Computational Intelligence 2010: 1-9 - [p3]Nathan Cole, Travis J. Desell, Daniel Lombraña Gonzalez, Francisco Fernández de Vega, Malik Magdon-Ismail, Heidi Jo Newberg, Boleslaw K. Szymanski, Carlos A. Varela:
Evolutionary Algorithms on Volunteer Computing Platforms: The MilkyWay@Home Project. Parallel and Distributed Computational Intelligence 2010: 63-90 - [p2]Jose Luis Guisado, Francisco Jiménez-Morales, J. M. Guerra, Francisco Fernández de Vega, K. A. Iskra, Peter M. A. Sloot, Daniel Lombraña Gonzalez:
Laser Dynamics Modelling and Simulation: An Application of Dynamic Load Balancing of Parallel Cellular Automata. Parallel and Distributed Computational Intelligence 2010: 321-347 - [e1]Francisco Fernández de Vega, Erick Cantú-Paz:
Parallel and Distributed Computational Intelligence. Studies in Computational Intelligence 269, Springer 2010, ISBN 978-3-642-10674-3 [contents]
2000 – 2009
- 2009
- [j9]Gustavo Olague, Cynthia B. Pérez, Francisco Fernández, Evelyne Lutton:
An artificial life approach to dense stereo disparity. Artif. Life Robotics 13(2): 585-596 (2009) - [j8]Miguel Frade, Francisco Fernández de Vega, Carlos Cotta:
Breeding Terrains with Genetic Terrain Programming: The Evolution of Terrain Generators. Int. J. Comput. Games Technol. 2009: 125714:1-125714:13 (2009) - [j7]José Carlos Bregieiro Ribeiro, Mário Zenha Rela, Francisco Fernández de Vega:
Test Case Evaluation and Input Domain Reduction strategies for the Evolutionary Testing of Object-Oriented software. Inf. Softw. Technol. 51(11): 1534-1548 (2009) - [c51]Gustavo Reis, Francisco Fernández, Gustavo Olague:
Cooperative and decomposable approaches on royal road functions: overcoming the random mutation hill-climber. GECCO 2009: 1875-1876 - [c50]José Carlos Bregieiro Ribeiro, Mário Zenha Rela, Francisco Fernández de Vega:
An adaptive strategy for improving the performance of genetic programming-based ap