Jorge Pérez-Aracil

According to our database, Jorge Pérez-Aracil authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bike sharing and cable car demand forecasting using machine learning and deep learning multivariate time series approaches.

César Peláez-Rodríguez, Jorge Pérez-Aracil, Dusan Fister, Ricardo Torres-Lopez, Sancho Salcedo-Sanz

Expert Syst. Appl., March, 2024

Evolving interpretable decision trees for reinforcement learning.

Vinícius G. Costa, Jorge Pérez-Aracil, Sancho Salcedo-Sanz, Carlos Eduardo Pedreira

Artif. Intell., February, 2024

Spain on fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric information.

Helena Liz-López, Javier Huertas-Tato, Jorge Pérez-Aracil, Carlos Casanova-Mateo, Julia Sanz-Justo, David Camacho

Knowl. Based Syst., January, 2024

2023

Deep learning ensembles for accurate fog-related low-visibility events forecasting.

César Peláez-Rodríguez, Jorge Pérez-Aracil, A. de Lopez-Diz, Carlos Casanova-Mateo, Dusan Fister, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz

Neurocomputing, September, 2023

Improving numerical methods for the steel yield strain calculation in reinforced concrete members with Machine Learning algorithms.

Jorge Pérez-Aracil, Alejandro Mateo Hernández-Díaz, Cosmin Madalin Marina, Sancho Salcedo-Sanz

Expert Syst. Appl., September, 2023

Cross-entropy boosted CRO-SL for optimal power flow in smart grids.

Carolina Gil Marcelino, Jorge Pérez-Aracil, Elizabeth F. Wanner, Silvia Jiménez-Fernández, Gabriel Matos Cardoso Leite, Sancho Salcedo-Sanz

Soft Comput., May, 2023

Accurate long-term air temperature prediction with Machine Learning models and data reduction techniques.

Dusan Fister, Jorge Pérez-Aracil, César Peláez-Rodríguez, Javier Del Ser, Sancho Salcedo-Sanz

Appl. Soft Comput., March, 2023

2022

Optimal vibration isolation and alignment over non-rigid bases with the CRO-SL ensemble.

Jorge Pérez-Aracil, Carlos Camacho-Gómez, Paul Reynolds, Emiliano Pereira, Sancho Salcedo-Sanz

Eng. Appl. Artif. Intell., 2022

New Probabilistic-Dynamic Multi-Method Ensembles for Optimization based on the CRO-SL.

Jorge Pérez-Aracil, Carlos Camacho-Gómez, Eugenio Lorente-Ramos, Cosmin Madalin Marina, Sancho Salcedo-Sanz

CoRR, 2022

Accurate Long-term Air Temperature Prediction with a Fusion of Artificial Intelligence and Data Reduction Techniques.

Dusan Fister, Jorge Pérez-Aracil, César Peláez-Rodríguez, Javier Del Ser, Sancho Salcedo-Sanz

CoRR, 2022

Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review.

Sancho Salcedo-Sanz, Jorge Pérez-Aracil, Guido Ascenso, Javier Del Ser, David Casillas-Pérez, Christopher Kadow, Dusan Fister, David Barriopedro, Ricardo García-Herrera, Marcello Restelli, Matteo Giuliani, Andrea Castelletti

CoRR, 2022

Hybridizing machine learning with metaheuristics for preventing convergence failures in mechanical models based on compression field theories.

Alejandro M. Hernández-Díaz, Jorge Pérez-Aracil, David Casillas-Perez, Emiliano Pereira, Sancho Salcedo-Sanz

Appl. Soft Comput., 2022

Solving the Optimal Active-Reactive Power Dispatch Problem in Smart Grids with the C-DEEPSO Algorithm.

Carolina Gil Marcelino, Elizabeth F. Wanner, Flávio V. C. Martins, Jorge Pérez-Aracil, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

Memetic coral reefs optimization algorithms for optimal geometrical design of submerged arches.

Jorge Pérez-Aracil, Carlos Camacho-Gómez, Alejandro Mateo Hernández-Díaz, Emiliano Pereira, David Camacho, Sancho Salcedo-Sanz

Swarm Evol. Comput., 2021

2020

Submerged Arches Optimal Design With a Multi-Method Ensemble Meta-Heuristic Approach.

Jorge Pérez-Aracil, Carlos Camacho-Gómez, Alejandro M. Hernández-Díaz, Emiliano Pereira, Sancho Salcedo-Sanz

IEEE Access, 2020

2018

Multi-objective optimal design of submerged arches using extreme learning machine and evolutionary algorithms.

Alejandro M. Hernández-Díaz, Andrés Bueno-Crespo, Jorge Pérez-Aracil, José M. Cecilia

Appl. Soft Comput., 2018