Víctor Manuel Rivas Santos

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Juan J. Merelo GuervósUniversity of GranadaVerified email at ugr.es
Pedro A. Castillo-ValdiviesoUniversidad de GranadaVerified email at ugr.es
Gustavo Romero LópezProfesor colaborador (UGR)Verified email at ugr.es
María José Del Jesus DíazAssociate professor of Computer Science, University of JaénVerified email at ujaen.es
Maribel Garcia-ArenasProfesor de la Universidad de GranadaVerified email at ugr.es
Alberto PrietoEmeritus Professor de Aquitectura de Computadores (UGR)Verified email at ugr.es
Luciano SanchezProfessor of Computer Science, Oviedo UniversityVerified email at uniovi.es
Jesus Alcala-FdezAssociate Professor of Computer Science and Artificial Intelligence, University of GranadaVerified email at decsai.ugr.es
Sebastián Ventura (ORCID: 0000-000...Professor of Computing and Artificial Intelligence, University of CordobaVerified email at uco.es
Jaume BacarditReader in Machine Learning, Newcastle UniversityVerified email at newcastle.ac.uk
José OteroAssociate professor, Computer Science Department, Oviedo UniversityVerified email at uniovi.es
Salvador GarcíaFull Professor of Computer Science and Artificial Intelligence. University of Granada.Verified email at decsai.ugr.es
Pablo García-Sánchez (ORCID:0000-...Universidad de GranadaVerified email at ugr.es
Javier García CastellanoDepartment of Computer Science and Artificial Intelligence at University of GranadaVerified email at decsai.ugr.es
Jose Carpio CañadaProfesor Colaborador, Universidad de HuelvaVerified email at dti.uhu.es
Antonio MoraAssociate Professor at Dept. of Signal Theory, Telematics and Communications. University of GranadaVerified email at ugr.es
Juan Carlos Fernandez (ORCID 0000-...University of Cordoba, SpainVerified email at uco.es

Víctor Manuel Rivas Santos

Professor of Computer Science, University of Jaen

Verified email at ujaen.es - Homepage

Soft Computing Data Mining Genetic Algorithms Time-series forecasting


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KEEL: a software tool to assess evolutionary algorithms for data mining problems J Alcalá-Fdez, L Sanchez, S Garcia, MJ del Jesus, S Ventura, JM Garrell, ... Soft Computing 13, 307-318, 2009	1551	2009
G-Prop: Global optimization of multilayer perceptrons using GAs PA Castillo, JJ Merelo, A Prieto, V Rivas, G Romero Neurocomputing 35 (1-4), 149-163, 2000	214	2000
Evolving RBF neural networks for time-series forecasting with EvRBF VM Rivas, JJ Merelo, PA Castillo, MG Arenas, JG Castellano Information Sciences 165 (3-4), 207-220, 2004	136	2004
Evolving multilayer perceptrons PA Castillo, J Carpio, JJ Merelo, A Prieto, V Rivas, G Romero Neural Processing Letters 12, 115-128, 2000	97	2000
Studying real traffic and mobility scenarios for a Smart City using a new monitoring and tracking system A Fernández-Ares, AM Mora, MG Arenas, P García-Sánchez, G Romero, ... Future Generation Computer Systems 76, 163-179, 2017	67	2017
SA-Prop: Optimization of multilayer perceptron parameters using simulated annealing PA Castillo, JJ Merelo, J González, V Rivas, G Romero Foundations and Tools for Neural Modeling: International Work-Conference on …, 1999	39	1999
Evolving objects JJ Merelo, MG Arenas, J Carpio, PA Castillo, VM Rivas, G Romero, ... FEA2000 (Frontiers of Evolutionary Algorithms) proceedings. Proc. JCIS 1 …, 2000	32	2000
Finding a needle in a haystack using hints and evolutionary computation: the case of evolutionary MasterMind JJ Merelo-Guervós, P Castillo, VM Rivas Applied Soft Computing 6 (2), 170-179, 2006	25	2006
Short, medium and long term forecasting of time series using the L-Co-R algorithm E Parras-Gutierrez, VM Rivas, M Garcia-Arenas, MJ del Jesus Neurocomputing 128, 433-446, 2014	23	2014
G-Prop-III: Global optimization of multilayer perceptrons using an evolutionary algorithm PA Castillo, V Rivas, JJ Merelo, J González, A Prieto, G Romero Proceedings of the 1st Annual Conference on Genetic and Evolutionary …, 1999	22	1999
Function approximation with evolved multilayer perceptrons PA Castillo, MG Arenas, JG Castellano, M Cillero, JJ Merelo, A Prieto, ... Advances in Neural Networks and Applications, 195-200, 2001	19	2001
Multiobjective optimization of ensembles of multilayer perceptrons for pattern classification PA Castillo, MG Arenas, JJ Merelo, VM Rivas, G Romero Parallel Problem Solving from Nature-PPSN IX: 9th International Conference …, 2006	18	2006
Evolving two-dimensional fuzzy systems VM Rivas, JJ Merelo, I Rojas, G Romero, PA Castillo, J Carpio Fuzzy sets and systems 138 (2), 381-398, 2003	18	2003
Finding a needle in a haystack using hints and evolutionary computation: the case of genetic mastermind JJ Merelo, J Carpio, P Castillo, VM Rivas, G Romero Late breaking papers at the GECCO99, 184-192, 1999	17	1999
Studying individualized transit indicators using a new low-cost information system PA Castillo, A Fernández-Ares, P García-Fernández, P García-Sánchez, ... Handbook of Research on Embedded Systems Design, 388-407, 2014	16	2014
Coevolution of lags and RBFNs for time series forecasting: L-Co-R algorithm E Parras-Gutierrez, M Garcia-Arenas, VM Rivas, MJ del Jesus Soft Computing 16 (6), 919-942, 2012	16	2012
Optimizing web newspaper layout using simulated annealing J González, JJ Merelo, PA Castillo, V Rivas, G Romero Engineering Applications of Bio-Inspired Artificial Neural Networks …, 1999	16	1999
Optimisation of multilayer perceptrons using a distributed evolutionary algorithm with SOAP PA Castillo, MG Arenas, JG Castellano, JJ Merelo, VM Rivas, G Romero Parallel Problem Solving from Nature—PPSN VII: 7th International Conference …, 2002	15	2002
Evrbf: evolving rbf neural networks for classification problems VM Rivas, I Garcia-Arenas, JJ Merelo, A Prieto Proceedings of the International Conference on Applied Informatics and …, 2007	14	2007
Lamarckian evolution and the Baldwin effect in evolutionary neural networks PA Castillo, MG Arenas, JG Castellano, JJ Merelo, A Prieto, V Rivas, ... arXiv preprint cs/0603004, 2006	14	2006

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