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ORCIDGilberto Reynoso-Meza
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2020 – today
- 2024
[j23]Ricardo Eiji Kondo
, Willian Jeferson Andrade, Clayton de Mello Henequim, André Eugênio Lazzaretti, Alceu de Souza Britto Jr., Eduardo de Freitas Rocha Loures, Eduardo Alves Portela Santos, Gilberto Reynoso-Meza:
An industrial edge computing architecture for Local Digital Twin. Comput. Ind. Eng. 193: 110257 (2024)- [j22]Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza:
Multi-criteria Decision-Making Techniques for the Selection of Pareto-optimal Machine Learning Models in a Drinking-Water Quality Monitoring Problem. Int. J. Inf. Technol. Decis. Mak. 23(1): 447-474 (2024) - 2023
- [c25]Marcio Leandro do Prado, João Felipe Capioto Seelent, Gilberto Reynoso-Meza, Guilherme Brittes Benitez:
A Multicriteria Framework Proposition for Project Management Approaches. PLM (1) 2023: 171-180 - 2022
- [j21]Gilberto Reynoso-Meza, Jesús Carrillo-Ahumada, Victor Henrique Alves Ribeiro, Tainara Marques:
Multi-objective PID Controller Tuning for Multi-model Control of Nonlinear Systems. SN Comput. Sci. 3(5): 351 (2022) - 2021
- [j20]José Márcio Fachin, Gilberto Reynoso-Meza, Viviana Cocco Mariani, Leandro dos Santos Coelho:
Self-adaptive differential evolution applied to combustion engine calibration. Soft Comput. 25(1): 109-135 (2021) - [c24]Víctor Huilcapi, Xavier Blasco Ferragud, Juan M. Herrero, Alberto Pajares, Gilberto Reynoso-Meza:
Application of an input-output pairings selection methodology to control multivariable systems based on multi-objective optimization. CSCI 2021: 443-449 - [c23]Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza:
TimeStacking: An Improved Ensemble Learning Method for Continuous Time Series Classification. PLM (2) 2021: 284-296 - [c22]Wellington Rodrigo Monteiro, Marcio Leandro do Prado, Gilberto Reynoso-Meza:
Leveraging Data Scientists and Business Expectations During the COVID-19 Pandemic. SER&IP@ICSE 2021: 2-9 - [i1]Wellington Rodrigo Monteiro, Marcio Leandro do Prado, Gilberto Reynoso-Meza:
Leveraging Data Scientists and Business Expectations During the COVID-19 Pandemic. CoRR abs/2103.05425 (2021) - 2020
- [j19]Víctor Huilcapi, Xavier Blasco Ferragud, Juan Manuel Herrero Durá, Gilberto Reynoso-Meza:
A Loop Pairing Method for Non-Linear Multivariable Control Systems Under a Multi-Objective Optimization Approach. IEEE Access 8: 41262-41281 (2020) - [j18]Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza, Hugo Valadares Siqueira:
Multi-objective ensembles of echo state networks and extreme learning machines for streamflow series forecasting. Eng. Appl. Artif. Intell. 95: 103910 (2020) - [j17]Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza:
Ensemble learning by means of a multi-objective optimization design approach for dealing with imbalanced data sets. Expert Syst. Appl. 147: 113232 (2020) - [c21]Victor Henrique Alves Ribeiro, Pedro H. L. S. P. Domingues, Paulo Rodrigo Cavalin, Gilberto Reynoso-Meza, Helon Vicente Hultmann Ayala, Luís Fernando Alzuguir Azevedo:
Dynamic Multi-criteria Classifier Selection for Illegal Tapping Detection in Oil Pipelines. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j16]Alberto Pajares, Xavier Blasco Ferragud, Juan Manuel Herrero Durá, Gilberto Reynoso-Meza:
A New Point of View in Multivariable Controller Tuning Under Multiobjetive Optimization by Considering Nearly Optimal Solutions. IEEE Access 7: 66435-66452 (2019) - [j15]Víctor Huilcapi, Xavier Blasco Ferragud, Juan Manuel Herrero Durá, Gilberto Reynoso-Meza:
A Loop Pairing Method for Multivariable Control Systems Under a Multi-Objective Optimization Approach. IEEE Access 7: 81994-82014 (2019) - [j14]Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza:
A holistic multi-objective optimization design procedure for ensemble member generation and selection. Appl. Soft Comput. 83 (2019) - [c20]Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza:
A study of Pareto-based methods for ensemble pool generation and aggregation. CEC 2019: 2145-2152 - [c19]Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza:
Monitoring of drinking-water quality by means of a multi-objective ensemble learning approach. GECCO (Companion) 2019: 1-2 - [c18]Matheus Henrique Dal Molin Ribeiro, Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza, Leandro dos Santos Coelho:
Multi-Objective Ensemble Model for Short-Term Price Forecasting in Corn Price Time Series. IJCNN 2019: 1-8 - 2018
- [j13]Alberto Pajares, Xavier Blasco Ferragud, Juan M. Herrero, Gilberto Reynoso-Meza:
A Multiobjective Genetic Algorithm for the Localization of Optimal and Nearly Optimal Solutions Which Are Potentially Useful: nevMOGA. Complex. 2018: 1792420:1-1792420:22 (2018) - [c17]Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza:
Multi-objective Support Vector Machines Ensemble Generation for Water Quality Monitoring. CEC 2018: 1-6 - [c16]Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza:
Multi-objective PID Controller Tuning for an Industrial Gasifier. CEC 2018: 1-6 - [c15]Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza:
Online anomaly detection for drinking water quality using a multi-objective machine learning approach. GECCO (Companion) 2018: 1-2 - [c14]Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza:
A multi-objective optimization design framework for ensemble generation. GECCO (Companion) 2018: 1882-1885 - 2017
- [j12]Juliano Pierezan, Roberto Zanetti Freire, Lucas Weihmann, Gilberto Reynoso-Meza, Leandro dos Santos Coelho:
Static force capability optimization of humanoids robots based on modified self-adaptive differential evolution. Comput. Oper. Res. 84: 205-215 (2017) - [j11]Jesus Velasco Carrau, Gilberto Reynoso-Meza, Sergio García-Nieto, Xavier Blasco Ferragud:
Enhancing controller's tuning reliability with multi-objective optimisation: From Model in the loop to Hardware in the loop. Eng. Appl. Artif. Intell. 64: 52-66 (2017) - [c13]Xavier Blasco Ferragud, Juan Manuel Herrero Durá, Gilberto Reynoso-Meza, Miguel Andres Martínez Iranzo:
Interactive tool for analyzing multiobjective optimization results with level diagrams. GECCO (Companion) 2017: 1689-1696 - 2016
- [j10]Yadira Boada, Gilberto Reynoso-Meza, Jesús Picó, Alejandro Vignoni:
Multi-objective optimization framework to obtain model-based guidelines for tuning biological synthetic devices: an adaptive network case. BMC Syst. Biol. 10: 27 (2016) - [j9]Gilberto Reynoso-Meza, Javier Sanchis, Xavier Blasco Ferragud, Roberto Zanetti Freire:
Evolutionary multi-objective optimisation with preferences for multivariable PI controller tuning. Expert Syst. Appl. 51: 120-133 (2016) - [j8]Gilberto Reynoso-Meza, Javier Sanchis, Xavier Blasco Ferragud, Miguel A. Martínez:
Preference driven multi-objective optimization design procedure for industrial controller tuning. Inf. Sci. 339: 108-131 (2016) - [j7]Xavier Blasco Ferragud, Gilberto Reynoso-Meza, Enrique Alfonso Sánchez-Pérez, Juan V. Sánchez-Pérez:
Asymmetric distances to improve n-dimensional Pareto fronts graphical analysis. Inf. Sci. 340-341: 228-249 (2016) - [c12]Ricardo de Almeida, Gilberto Reynoso-Meza, Maria Teresinha Arns Steiner:
Multi-objective optimization approach to stock market technical indicators. CEC 2016: 3670-3677 - [c11]Juliano Pierezan, Roberto Zanetti Freire, Lucas Weihmann, Gilberto Reynoso-Meza, Leandro dos Santos Coelho:
On the improvement of static force capacity of humanoid robots based on plants behavior. ESANN 2016 - [c10]Luciano Ferreira da Cruz, Roberto Zanetti Freire, Gilberto Reynoso-Meza, Flavia B. Pinto, Leandro dos Santos Coelho:
RBF Neural Network combined with self-adaptive MODE and Genetic Algorithm to identify velocity profile of swimmers. SSCI 2016: 1-7 - 2015
- [c9]Helem Sabina Sánchez, Gilberto Reynoso-Meza, Ramón Vilanova, Xavier Blasco Ferragud:
Multistage procedure for PI controller design of the Boiler Benchmark problem. ETFA 2015: 1-4 - [c8]Gilberto Reynoso-Meza, Leandro dos Santos Coelho, Roberto Zanetti Freire:
Efficient Sampling of PI Controllers in Evolutionary Multiobjective Optimization. GECCO 2015: 1263-1270 - 2014
- [j6]Gilberto Reynoso-Meza, Javier Sanchis, Xavier Blasco Ferragud, Sergio García-Nieto:
Physical programming for preference driven evolutionary multi-objective optimization. Appl. Soft Comput. 24: 341-362 (2014) - [j5]Juan Manuel Herrero Durá, Gilberto Reynoso-Meza, Miguel A. Martínez, Xavier Blasco Ferragud, Javier Sanchis:
A Smart-Distributed Pareto Front Using the ev-MOGA Evolutionary Algorithm. Int. J. Artif. Intell. Tools 23(2) (2014) - 2013
- [j4]Gilberto Reynoso-Meza, Xavier Blasco Ferragud, Javier Sanchis, Juan Manuel Herrero Durá:
Comparison of design concepts in multi-criteria decision-making using level diagrams. Inf. Sci. 221: 124-141 (2013) - [j3]Gilberto Reynoso-Meza, Sergio García-Nieto, Javier Sanchis, Xavier Blasco Ferragud:
Controller Tuning by Means of Multi-Objective Optimization Algorithms: A Global Tuning Framework. IEEE Trans. Control. Syst. Technol. 21(2): 445-458 (2013) - 2012
- [j2]Gilberto Reynoso-Meza, Javier Sanchis, Xavier Blasco Ferragud, Juan Manuel Herrero Durá:
Multiobjective evolutionary algorithms for multivariable PI controller design. Expert Syst. Appl. 39(9): 7895-7907 (2012) - 2011
- [c7]Gilberto Reynoso-Meza, Javier Sanchis, Xavier Blasco Ferragud, Juan Manuel Herrero Durá:
Hybrid DE algorithm with adaptive crossover operator for solving real-world numerical optimization problems. IEEE Congress on Evolutionary Computation 2011: 1551-1556 - [c6]Gilberto Reynoso-Meza, Javier Sanchis, Xavier Blasco Ferragud, Juan Manuel Herrero Durá:
Handling control engineer preferences: Getting the most of PI controllers. ETFA 2011: 1-8 - [c5]Gilberto Reynoso-Meza, Javier Sanchis, Xavier Blasco Ferragud, Miguel A. Martínez:
An empirical study on parameter selection for multiobjective optimization algorithms using Differential Evolution. SDE 2011: 73-79 - 2010
- [j1]Javier Sanchis, Miguel A. Martínez, Xavier Blasco Ferragud, Gilberto Reynoso-Meza:
Modelling preferences in multi-objective engineering design. Eng. Appl. Artif. Intell. 23(8): 1255-1264 (2010) - [c4]Gilberto Reynoso-Meza, Xavier Blasco Ferragud, Javier Sanchis, Miguel A. Martínez:
Multiobjective optimization algorithm for solving constrained single objective problems. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c3]Gilberto Reynoso-Meza, Javier Sanchis, Xavier Blasco Ferragud, Miguel A. Martínez:
Design of Continuous Controllers Using a Multiobjective Differential Evolution Algorithm with Spherical Pruning. EvoApplications (1) 2010: 532-541 - [c2]Sergio García-Nieto, José Vicente Salcedo, Miguel A. Martínez, Gilberto Reynoso-Meza:
Iterative discrete forward-backward fuzzy predictive control. FUZZ-IEEE 2010: 1-7
2000 – 2009
- 2009
- [c1]Gilberto Reynoso-Meza, Javier Sanchis, Xavier Blasco Ferragud:
An Adaptive Parameter Control for the Differential Evolution Algorithm. IWANN (1) 2009: 375-382
Coauthor Index
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