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Víctor Manuel Rivas Santos
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2010 – 2019
- 2017
- [j11]Antonio Fernández-Ares, Antonio Mora García, Maribel García Arenas
, Pablo García-Sánchez
Studying real traffic and mobility scenarios for a Smart City using a new monitoring and tracking system. Future Gener. Comput. Syst. 76: 163-179 (2017) - [j10]Víctor Manuel Rivas Santos, Elisabet Parras-Gutierrez, Juan Julián Merelo Guervós
Time series forecasting using evolutionary neural nets implemented in a volunteer computing system. Intell. Syst. Account. Finance Manag. 24(2-3): 87-95 (2017) - [c28]Juan Julián Merelo Guervós, Israel Blancas-Alvarez, Pedro A. Castillo
Ranking Programming Languages for Evolutionary Algorithm Operations. EvoApplications (1) 2017: 689-704 - [i3]Juan Julián Merelo Guervós, Antonio Fernández-Ares, Antonio Álvarez-Caballero, Pablo García-Sánchez, Víctor M. Rivas:
RedDwarfData: a simplified dataset of StarCraft matches. CoRR abs/1712.10179 (2017) - 2016
- [c27]Juan Julián Merelo Guervós
A comparison of implementations of basic evolutionary algorithm operations in different languages. CEC 2016: 1602-1609 - [c26]Víctor M. Rivas
Web Browser-Based Forecasting of Economic Time-Series. Decision Economics@DCAI 2016: 35-42 - [c25]Juan Julián Merelo Guervós
Benchmarking Languages for Evolutionary Algorithms. EvoApplications (2) 2016: 27-41 - [c24]Juan Julián Merelo Guervós
Ranking the Performance of Compiled and Interpreted Languages in Genetic Algorithms. IJCCI (ECTA) 2016: 164-170 - 2015
- [j9]J. Carpio Cañada
Open classroom: enhancing student achievement on artificial intelligence through an international online competition. J. Comput. Assist. Learn. 31(1): 14-31 (2015) - 2014
- [j8]Elisabet Parras-Gutierrez, Víctor M. Rivas
Short, medium and long term forecasting of time series using the L-Co-R algorithm. Neurocomputing 128: 433-446 (2014) - [c23]Víctor Manuel Rivas Santos
An Object-Oriented Library in JavaScript to Build Modular and Flexible Cross-Platform Evolutionary Algorithms. EvoApplications 2014: 853-862 - [c22]Juan Julián Merelo Guervós
Assessing different architectures for evolutionary algorithms in javascript. GECCO (Companion) 2014: 119-120 - [c21]Juan Julián Merelo Guervós
NodEO, a multi-paradigm distributed evolutionary algorithm platform in JavaScript. GECCO (Companion) 2014: 1155-1162 - [e1]Miguel Nicolau, Krzysztof Krawiec, Malcolm I. Heywood, Mauro Castelli
Genetic Programming - 17th European Conference, EuroGP 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8599, Springer 2014, ISBN 978-3-662-44302-6 [contents] - 2013
- [c20]Elisabet Parras-Gutierrez, Víctor M. Rivas, Juan Julián Merelo Guervós
The L-Co-R Co-evolutionary Algorithm - A Comparative Analysis in Medium-term Time-series Forecasting Problems. IJCCI 2013: 144-151 - 2012
- [j7]Elisabet Parras-Gutierrez, Maribel García Arenas
Coevolution of lags and RBFNs for time series forecasting: L-Co-R algorithm. Soft Comput. 16(6): 919-942 (2012) - 2011
- [i2]Pedro A. Castillo, Maribel García Arenas, Antonio Miguel Mora, Juan Luis Jiménez Laredo, Gustavo Romero, Víctor M. Rivas, Juan Julián Merelo Guervós:
Distributed Evolutionary Computation using REST. CoRR abs/1105.4971 (2011) - 2010
- [c19]Elisabet Parras-Gutierrez, Víctor M. Rivas
Time series forecasting: Automatic determination of lags and radial basis neural networks for a changing horizon environment. IJCNN 2010: 1-7
2000 – 2009
- 2009
- [j6]Jesús Alcalá-Fdez
KEEL: a software tool to assess evolutionary algorithms for data mining problems. Soft Comput. 13(3): 307-318 (2009) - [c18]Elisabet Parras-Gutierrez, Maribel García Arenas
Enhanced Radial Basis Function Neural Network Design Using Parallel Evolutionary Algorithms. EANN 2009: 269-280 - [c17]Elisabet Parras-Gutierrez, Víctor M. Rivas
E-tsRBF: Preliminary Results on the Simultaneous Determination of Time-Lags and Parameters of Radial Basis Function Neural Networks for Time Series Forecasting. ISDA 2009: 1445-1449 - [c16]Elisabet Parras-Gutierrez, Víctor M. Rivas
Designing Radial Basis Function Neural Networks with Meta-Evolutionary Algorithms: The Effect of Chromosome Codification. IWANN (2) 2009: 37-40 - [c15]Maribel García Arenas
Parallelizing the Design of Radial Basis Function Neural Networks by Means of Evolutionary Meta-algorithms. IWANN (1) 2009: 383-390 - 2008
- [c14]Cristóbal J. Carmona
Techniques of Engineering Applied to a Non-structured Data Model. DCAI 2008: 410-414 - [c13]Elisabet Parras-Gutierrez, María José del Jesus, Juan Julián Merelo Guervós
A Symbiotic CHC Co-evolutionary Algorithm for Automatic RBF Neural Networks Design. DCAI 2008: 663-671 - [c12]Elisabet Parras-Gutierrez, Víctor M. Rivas
Automatic Neural Net Design by Means of a Symbiotic Co-evolutionary Algorithm. HAIS 2008: 140-147 - [c11]Elisabet Parras-Gutierrez, María José del Jesus, Víctor M. Rivas
Study of the Robustness of a Meta-Algorithm for the Estimation of Parameters in Artificial Neural Networks Design. HIS 2008: 519-524 - 2006
- [j5]Juan Julián Merelo Guervós
Finding a needle in a haystack using hints and evolutionary computation: the case of evolutionary MasterMind. Appl. Soft Comput. 6(2): 170-179 (2006) - [c10]Pedro Ángel Castillo Valdivieso
Multiobjective Optimization of Ensembles of Multilayer Perceptrons for Pattern Classification. PPSN 2006: 453-462 - [i1]Pedro Ángel Castillo Valdivieso, Maribel García Arenas, Francisco Javier García Castellano, Juan Julián Merelo Guervós, Alberto Prieto, Víctor M. Rivas, Gustavo Romero:
Lamarckian Evolution and the Baldwin Effect in Evolutionary Neural Networks. CoRR abs/cs/0603004 (2006) - 2004
- [j4]Víctor Manuel Rivas Santos
Evolving RBF neural networks for time-series forecasting with EvRBF. Inf. Sci. 165(3-4): 207-220 (2004) - 2003
- [j3]Víctor Manuel Rivas Santos
Evolving two-dimensional fuzzy systems. Fuzzy Sets Syst. 138(2): 381-398 (2003) - 2002
- [c9]Víctor Manuel Rivas Santos, Pedro Ángel Castillo Valdivieso
Evolved RBF Networks for Time-Series Forecasting and Function Approximation. PPSN 2002: 505-516 - [c8]Pedro Ángel Castillo Valdivieso
Optimisation of Multilayer Perceptrons Using a Distributed Evolutionary Algorithm with SOAP. PPSN 2002: 676-688 - 2001
- [c7]Víctor Manuel Rivas Santos, Pedro Ángel Castillo Valdivieso
Evolving RBF Neural Networks. IWANN (1) 2001: 506-513 - 2000
- [j2]Pedro Ángel Castillo Valdivieso
G-Prop: Global optimization of multilayer perceptrons using GAs. Neurocomputing 35(1-4): 149-163 (2000) - [j1]Pedro Ángel Castillo Valdivieso
Evolving Multilayer Perceptrons. Neural Process. Lett. 12(2): 115-128 (2000) - [c6]Gustavo Romero, Maribel García Arenas
Evolutionary Computation Visualization: Application to G-PROP. PPSN 2000: 902-912
1990 – 1999
- 1999
- [c5]Pedro A. Castillo
G-Prop-II: global optimization of multilayer perceptrons using GAs. CEC 1999: 2022-2030 - [c4]Pedro Ángel Castillo Valdivieso, Víctor Manuel Rivas Santos, Juan Julián Merelo Guervós, Jesús González, Alberto Prieto, Gustavo Romero:
G-Prop-III: Global Optimization of Multilayer Perceptrons using an Evolutionary Algorithm. GECCO 1999: 942 - [c3]Juan Julián Merelo Guervós
Improved Automatic Classification of Biological Particles from Electron-Microscopy Images Using Genetic Neural Nets. IWANN (2) 1999: 373-382 - [c2]Pedro Ángel Castillo Valdivieso
SA-Prop: Optimization of Multilayer Perceptron Parameters Using Simulated Annealing. IWANN (1) 1999: 661-670 - [c1]Jesús González
Optimizing Web Newspaper Layout Using Simulated Annealing. IWANN (2) 1999: 759-768
Coauthor Index
aka: Pedro Ángel Castillo Valdivieso
aka: Juan Julián Merelo
aka: Gustavo Romero López
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