Sancho
Salcedo Sanz
Catedrático/a de Universidad

Leopoldo
Carro Calvo
2021
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k-Gaps: a novel technique for clustering incomplete climatological time series
Theoretical and Applied Climatology, Vol. 143, Núm. 1-2, pp. 447-460
2019
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Garteur AD/AG-52: Surrogate-based global optimization methods in preliminary aerodynamic design
Computational Methods in Applied Sciences (Springer), pp. 195-210
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Near-optimal selection of representative measuring points for robust temperature field reconstruction with the CRO-SL and analogue methods
Global and Planetary Change, Vol. 178, pp. 15-34
2018
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Drought prediction with standardized precipitation and evapotranspiration index and support vector regression models
Integrating Disaster Science and Management: Global Case Studies in Mitigation and Recovery (Elsevier Inc.), pp. 151-174
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Obtaining minimum-drag shapes through surrogate-based global optimization: An application to the aerodynamic shape design of the landing gear master cylinder
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, Vol. 232, Núm. 15, pp. 2858-2869
2017
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Efficient prediction of total column ozone based on support vector regression algorithms, numerical models and Suomi-satellite data
Atmosfera, Vol. 30, Núm. 1, pp. 1-10
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Influence of the number and location of design parameters in the aerodynamic shape optimization of a transonic aerofoil and a wing through evolutionary algorithms and support vector machines
Engineering Optimization, Vol. 49, Núm. 2, pp. 181-198
2016
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Aerodynamic Shape Design by Evolutionary Optimization and Support Vector Machines
Springer Tracts in Mechanical Engineering, pp. 1-24
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Cloud glaciation temperature estimation from passive remote sensing data with evolutionary computing
Journal of Geophysical Research, Vol. 121, Núm. 22, pp. 13,591-13,608
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Cloud glaciation temperature estimation from passive remote sensing data with evolutionary computing
Journal of Geophysical Research: Atmospheres, Vol. 121, Núm. 22, pp. 591-608
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Influence of the number and location of design parameters in the aerodynamic shape optimization of a transonic aerofoil and a wing through evolutionary algorithms and support vector machines
Engineering Optimization, Vol. 49, Núm. 2, pp. 181-198
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Monthly prediction of air temperature in Australia and New Zealand with machine learning algorithms
Theoretical and Applied Climatology, Vol. 125, Núm. 1-2, pp. 13-25
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Surrogate-based global optimization of a cylinder by the use of evolutionary algorithms, support vector machines and non uniform b-splines
ECCOMAS Congress 2016 - Proceedings of the 7th European Congress on Computational Methods in Applied Sciences and Engineering
2015
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INFLUENCE OF GEOMETRY PARAMETERIZATION IN AERODYNAMIC SHAPE DESIGN OF AERONAUTICAL CONFIGURATIONS BY EVOLUTIONARY ALGORITHMS
6TH EUROPEAN CONFERENCE FOR AERONAUTICS AND SPACE SCIENCES (EUCASS)
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Significant wave height estimation using SVR algorithms and shadowing information from simulated and real measured X-band radar images of the sea surface
Ocean Engineering, Vol. 101, pp. 244-253
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Surface wind speed reconstruction from synoptic pressure fields: Machine learning versus weather regimes classification techniques
Wind Energy, Vol. 18, Núm. 9, pp. 1531-1544
2014
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Effectively tackling reinsurance problems by using evolutionary and swarm intelligence algorithms
Risks, Vol. 2, Núm. 2, pp. 132-145
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Fast aerodynamic coefficients prediction using SVMS for global shape optimization
11th World Congress on Computational Mechanics, WCCM 2014, 5th European Conference on Computational Mechanics, ECCM 2014 and 6th European Conference on Computational Fluid Dynamics, ECFD 2014
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Global optimization design for expensive computational simulations in aerodynamics using a novel surrogate model approach
Engineering Optimization IV - Proceedings of the 4th International Conference on Engineering Optimization, ENGOPT 2014
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Offshore wind farm design with the Coral Reefs Optimization algorithm
Renewable Energy, Vol. 63, pp. 109-115