Sancho Salcedo-Sanz
Sancho Salcedo-Sanz
Catedrático de Universidad (Full Professor), Universidad de Alcalá
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
Modern meta-heuristics based on nonlinear physics processes: A review of models and design procedures
S Salcedo-Sanz
Physics Reports 655, 1-70, 2016
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
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
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
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
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
A survey of repair methods used as constraint handling techniques in evolutionary algorithms
S Salcedo-Sanz
Computer science review 3 (3), 175-192, 2009
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
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
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
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
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