Sancho Salcedo-Sanz

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Antonio Portilla-FiguerasCatedrático de Universidad (Full Professor), Universidad de AlcaláVerified email at uah.es
Javier (Javi) Del Ser, SMIEEEResearch Professor in Artificial Intelligence (TECNALIA), Professor (UPV/EHU)Verified email at tecnalia.com
Silvia Jiménez-FernándezAssociate Professor of Signal Theory and Communications at Universidad de AlcaláVerified email at uah.es
Luis Prieto GodinoIberdrola Renovables EnergíaVerified email at iberdrola.es
Laura Cornejo-BuenoAssistant Professor, University of AlcaláVerified email at uah.es
sergio gil lopezSenior Research, TECNALIA OPTIMAVerified email at tecnalia.com
Pedro Antonio GutiérrezAssociate Professor of Computer Science, University of Córdoba (Spain)Verified email at uco.es
Lucas Cuadra, PhDUniversity of Alcalá, ProfessorVerified email at uah.es
César Hervás MartínezUniversity of Córdoba, Full ProfessorVerified email at uco.es
C. Camacho-GómezDoctor en TIC, Universidad Politécnica de MadridVerified email at upm.es
Professor Ravinesh Deo, Highly Cited...Full Professor in Mathematics and Applied Artificial IntelligenceVerified email at usq.edu.au
Enrique AlexandreAssociate Professor, Universidad de AlcaláVerified email at uah.es
RICARDO GARCIA-HERRERAUniversidad Complutense de Madrid; IGEO (CSIC-UCM)Verified email at ucm.es
David Casillas PérezAssistant Professor, Universidad Rey Juan CarlosVerified email at urjc.es
Xin YaoSouthern University of Science and Technology and University of Birmingham (UK)Verified email at cs.bham.ac.uk
David CamachoUniversidad Politécnica de MadridVerified email at upm.es
Jorge Pérez-AracilUniversidad de AlcaláVerified email at uah.es
Antonio J. CaamañoProfessor, Rey Juan Carlos UniversityVerified email at urjc.es
Mihaela I. ChideanAssociate Professor, Rey Juan Carlos UniversityVerified email at urjc.es
Sara Cornejo-BuenoPhD Student, Universidad Rey Juan CarlosVerified email at urjc.es

Sancho Salcedo-Sanz

Catedrático de Universidad (Full Professor), Universidad de Alcalá

Verified email at uah.es - Homepage

Computational Intelligence Machine Learning Atmospheric Physics Renewable Energy


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A survey on applications of the harmony search algorithm D Manjarres, I Landa-Torres, S Gil-Lopez, J Del Ser, MN Bilbao, ... Engineering Applications of Artificial Intelligence 26 (8), 1818-1831, 2013	412	2013
Bio-inspired computation: Where we stand and what's next J Del Ser, E Osaba, D Molina, XS Yang, S Salcedo-Sanz, D Camacho, ... Swarm and Evolutionary Computation 48, 220-250, 2019	395	2019
Predicting compressive strength of lightweight foamed concrete using extreme learning machine model ZM Yaseen, RC Deo, A Hilal, AM Abd, LC Bueno, S Salcedo-Sanz, ... Advances in Engineering Software 115, 112-125, 2018	276	2018
A critical review of robustness in power grids using complex networks concepts L Cuadra, S Salcedo-Sanz, J Del Ser, S Jiménez-Fernández, ZW Geem Energies 8 (9), 9211-9265, 2015	247	2015
Short term wind speed prediction based on evolutionary support vector regression algorithms S Salcedo-Sanz, EG Ortiz-Garcı, ÁM Pérez-Bellido, A Portilla-Figueras, ... Expert Systems with Applications 38 (4), 4052-4057, 2011	237	2011
Hybridizing the fifth generation mesoscale model with artificial neural networks for short-term wind speed prediction S Salcedo-Sanz, ÁM Pérez-Bellido, EG Ortiz-García, A Portilla-Figueras, ... Renewable Energy 34 (6), 1451-1457, 2009	215	2009
The coral reefs optimization algorithm: a novel metaheuristic for efficiently solving optimization problems S Salcedo-Sanz, J Del Ser, I Landa-Torres, S Gil-López, ... The Scientific World Journal 2014, 2014	191	2014
Daily global solar radiation prediction based on a hybrid Coral Reefs Optimization–Extreme Learning Machine approach S Salcedo-Sanz, C Casanova-Mateo, A Pastor-Sánchez, ... Solar Energy 105, 91-98, 2014	182	2014
Support vector machines in engineering: an overview S Salcedo‐Sanz, JL Rojo‐Álvarez, M Martínez‐Ramón, G Camps‐Valls Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 4 (3 …, 2014	158	2014
A new grouping genetic algorithm for clustering problems LE Agustı, S Salcedo-Sanz, S Jiménez-Fernández, L Carro-Calvo, ... Expert Systems with Applications 39 (10), 9695-9703, 2012	156	2012
Seeding evolutionary algorithms with heuristics for optimal wind turbines positioning in wind farms B Saavedra-Moreno, S Salcedo-Sanz, A Paniagua-Tineo, L Prieto, ... Renewable Energy 36 (11), 2838-2844, 2011	156	2011
Feature selection in wind speed prediction systems based on a hybrid coral reefs optimization–Extreme learning machine approach S Salcedo-Sanz, A Pastor-Sánchez, L Prieto, A Blanco-Aguilera, ... Energy Conversion and Management 87, 10-18, 2014	149	2014
Modern meta-heuristics based on nonlinear physics processes: A review of models and design procedures S Salcedo-Sanz Physics Reports 655, 1-70, 2016	147	2016
A survey of repair methods used as constraint handling techniques in evolutionary algorithms S Salcedo-Sanz Computer science review 3 (3), 175-192, 2009	134	2009
Accurate short-term wind speed prediction by exploiting diversity in input data using banks of artificial neural networks S Salcedo-Sanz, AM Perez-Bellido, EG Ortiz-García, A Portilla-Figueras, ... Neurocomputing 72 (4-6), 1336-1341, 2009	126	2009
A mixed neural-genetic algorithm for the broadcast scheduling problem S Salcedo-Sanz, C Bousoño-Calzón, AR Figueiras-Vidal IEEE Transactions on Wireless Communications 2 (2), 277-283, 2003	126	2003
A hybrid Hopfield network-genetic algorithm approach for the terminal assignment problem S Salcedo-Sanz, X Yao IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 34 …, 2004	121	2004
A review of classification problems and algorithms in renewable energy applications M Pérez-Ortiz, S Jiménez-Fernández, PA Gutiérrez, E Alexandre, ... Energies 9 (8), 607, 2016	115	2016
Feature selection in machine learning prediction systems for renewable energy applications S Salcedo-Sanz, L Cornejo-Bueno, L Prieto, D Paredes, R García-Herrera Renewable and Sustainable Energy Reviews 90, 728-741, 2018	111	2018
A novel grouping genetic algorithm–extreme learning machine approach for global solar radiation prediction from numerical weather models inputs A Aybar-Ruiz, S Jiménez-Fernández, L Cornejo-Bueno, ... Solar Energy 132, 129-142, 2016	110	2016

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