| 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 | 619 | 2019 |
| 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 | 459 | 2013 |
| 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 | 436 | 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 | 314 | 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 | 270 | 2011 |
| 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 | 269 | 2014 |
| 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 | 255 | 2014 |
| 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 | 249 | 2009 |
| Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources S Salcedo-Sanz, P Ghamisi, M Piles, M Werner, L Cuadra, ... Information Fusion 63, 256-272, 2020 | 223 | 2020 |
| 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 | 203 | 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 | 195 | 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 | 192 | 2018 |
| 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 | 174 | 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 | 174 | 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 | 168 | 2011 |
| 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 | 164 | 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 | 164 | 2009 |
| Heat waves: Physical understanding and scientific challenges D Barriopedro, R García‐Herrera, C Ordóñez, DG Miralles, ... Reviews of Geophysics 61 (2), e2022RG000780, 2023 | 140 | 2023 |
| Machine learning regressors for solar radiation estimation from satellite data L Cornejo-Bueno, C Casanova-Mateo, J Sanz-Justo, S Salcedo-Sanz Solar Energy 183, 768-775, 2019 | 138 | 2019 |
| 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 | 134 | 2009 |
Antonio Portilla-FiguerasCatedrático de Universidad (Full Professor), Universidad de AlcaláVerified email at uah.es
