Gilberto Reynoso-Meza

49 papers A 1B 10C 2Journal 24Unranked 12
YearRankTypeTitle / Venue / Authors
2024 J jnl
An industrial edge computing architecture for Local Digital Twin.
Comput. Ind. Eng.
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
2024 J jnl
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.
Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza
2023 — conf
A Multicriteria Framework Proposition for Project Management Approaches.
PLM (1)
Marcio Leandro do Prado, João Felipe Capioto Seelent, Gilberto Reynoso-Meza, Guilherme Brittes Benitez
2022 J jnl
Multi-objective PID Controller Tuning for Multi-model Control of Nonlinear Systems.
SN Comput. Sci.
Gilberto Reynoso-Meza, Jesús Carrillo-Ahumada, Victor Henrique Alves Ribeiro, Tainara Marques
2021 — conf
Application of an input-output pairings selection methodology to control multivariable systems based on multi-objective optimization.
CSCI
Víctor Huilcapi, Xavier Blasco Ferragud, Juan M. Herrero, Alberto Pajares, Gilberto Reynoso-Meza
2021 — conf
Leveraging Data Scientists and Business Expectations During the COVID-19 Pandemic.
SER&IP@ICSE
Wellington Rodrigo Monteiro, Marcio Leandro do Prado, Gilberto Reynoso-Meza
2021 J jnl
Leveraging Data Scientists and Business Expectations During the COVID-19 Pandemic.
CoRR
Wellington Rodrigo Monteiro, Marcio Leandro do Prado, Gilberto Reynoso-Meza
2021 J jnl
Self-adaptive differential evolution applied to combustion engine calibration.
Soft Comput.
José Márcio Fachin, Gilberto Reynoso-Meza, Viviana Cocco Mariani, Leandro dos Santos Coelho
2021 — conf
TimeStacking: An Improved Ensemble Learning Method for Continuous Time Series Classification.
PLM (2)
Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza
2020 J jnl
A Loop Pairing Method for Non-Linear Multivariable Control Systems Under a Multi-Objective Optimization Approach.
IEEE Access
Víctor Huilcapi, Xavier Blasco Ferragud, Juan Manuel Herrero Durá, Gilberto Reynoso-Meza
2020 B conf
Dynamic Multi-criteria Classifier Selection for Illegal Tapping Detection in Oil Pipelines.
IJCNN
Victor Henrique Alves Ribeiro, Pedro H. L. S. P. Domingues, Paulo Rodrigo Cavalin, Gilberto Reynoso-Meza, Helon Vicente Hultmann Ayala, Luís Fernando Alzuguir Azevedo
2020 J jnl
Ensemble learning by means of a multi-objective optimization design approach for dealing with imbalanced data sets.
Expert Syst. Appl.
Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza
2020 J jnl
Multi-objective ensembles of echo state networks and extreme learning machines for streamflow series forecasting.
Eng. Appl. Artif. Intell.
Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza, Hugo Valadares Siqueira
2019 J jnl
A Loop Pairing Method for Multivariable Control Systems Under a Multi-Objective Optimization Approach.
IEEE Access
Víctor Huilcapi, Xavier Blasco Ferragud, Juan Manuel Herrero Durá, Gilberto Reynoso-Meza
2019 J jnl
A New Point of View in Multivariable Controller Tuning Under Multiobjetive Optimization by Considering Nearly Optimal Solutions.
IEEE Access
Alberto Pajares, Xavier Blasco Ferragud, Juan Manuel Herrero Durá, Gilberto Reynoso-Meza
2019 J jnl
A holistic multi-objective optimization design procedure for ensemble member generation and selection.
Appl. Soft Comput.
Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza
2019 B conf
A study of Pareto-based methods for ensemble pool generation and aggregation.
CEC
Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza
2019 — conf
Monitoring of drinking-water quality by means of a multi-objective ensemble learning approach.
GECCO (Companion)
Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza
2019 B conf
Multi-Objective Ensemble Model for Short-Term Price Forecasting in Corn Price Time Series.
IJCNN
Matheus Henrique Dal Molin Ribeiro, Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza, Leandro dos Santos Coelho
2018 J jnl
A Multiobjective Genetic Algorithm for the Localization of Optimal and Nearly Optimal Solutions Which Are Potentially Useful: nevMOGA.
Complex.
Alberto Pajares, Xavier Blasco Ferragud, Juan M. Herrero, Gilberto Reynoso-Meza
2018 — conf
A multi-objective optimization design framework for ensemble generation.
GECCO (Companion)
Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza
2018 B conf
Multi-objective PID Controller Tuning for an Industrial Gasifier.
CEC
Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza
2018 B conf
Multi-objective Support Vector Machines Ensemble Generation for Water Quality Monitoring.
CEC
Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza
2018 — conf
Online anomaly detection for drinking water quality using a multi-objective machine learning approach.
GECCO (Companion)
Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza
2017 J jnl
Enhancing controller's tuning reliability with multi-objective optimisation: From Model in the loop to Hardware in the loop.
Eng. Appl. Artif. Intell.
Jesus Velasco Carrau, Gilberto Reynoso-Meza, Sergio García-Nieto, Xavier Blasco Ferragud
2017 — conf
Interactive tool for analyzing multiobjective optimization results with level diagrams.
GECCO (Companion)
Xavier Blasco Ferragud, Juan Manuel Herrero Durá, Gilberto Reynoso-Meza, Miguel Andres Martínez Iranzo
2017 J jnl
Static force capability optimization of humanoids robots based on modified self-adaptive differential evolution.
Comput. Oper. Res.
Juliano Pierezan, Roberto Zanetti Freire, Lucas Weihmann, Gilberto Reynoso-Meza, Leandro dos Santos Coelho
2016 J jnl
Asymmetric distances to improve n-dimensional Pareto fronts graphical analysis.
Inf. Sci.
Xavier Blasco Ferragud, Gilberto Reynoso-Meza, Enrique Alfonso Sánchez-Pérez, Juan V. Sánchez-Pérez
2016 J jnl
Evolutionary multi-objective optimisation with preferences for multivariable PI controller tuning.
Expert Syst. Appl.
Gilberto Reynoso-Meza, Javier Sanchis, Xavier Blasco Ferragud, Roberto Zanetti Freire
2016 B conf
Multi-objective optimization approach to stock market technical indicators.
CEC
Ricardo de Almeida, Gilberto Reynoso-Meza, Maria Teresinha Arns Steiner
2016 J jnl
Multi-objective optimization framework to obtain model-based guidelines for tuning biological synthetic devices: an adaptive network case.
BMC Syst. Biol.
Yadira Boada, Gilberto Reynoso-Meza, Jesús Picó, Alejandro Vignoni
2016 B conf
On the improvement of static force capacity of humanoid robots based on plants behavior.
ESANN
Juliano Pierezan, Roberto Zanetti Freire, Lucas Weihmann, Gilberto Reynoso-Meza, Leandro dos Santos Coelho
2016 J jnl
Preference driven multi-objective optimization design procedure for industrial controller tuning.
Inf. Sci.
Gilberto Reynoso-Meza, Javier Sanchis, Xavier Blasco Ferragud, Miguel A. Martínez
2016 — conf
RBF Neural Network combined with self-adaptive MODE and Genetic Algorithm to identify velocity profile of swimmers.
SSCI
Luciano Ferreira da Cruz, Roberto Zanetti Freire, Gilberto Reynoso-Meza, Flavia B. Pinto, Leandro dos Santos Coelho
2015 A conf
Efficient Sampling of PI Controllers in Evolutionary Multiobjective Optimization.
GECCO
Gilberto Reynoso-Meza, Leandro dos Santos Coelho, Roberto Zanetti Freire
2015 C conf
Multistage procedure for PI controller design of the Boiler Benchmark problem.
ETFA
Helem Sabina Sánchez, Gilberto Reynoso-Meza, Ramón Vilanova, Xavier Blasco Ferragud
2014 J jnl
A Smart-Distributed Pareto Front Using the ev-MOGA Evolutionary Algorithm.
Int. J. Artif. Intell. Tools
Juan Manuel Herrero Durá, Gilberto Reynoso-Meza, Miguel A. Martínez, Xavier Blasco Ferragud, Javier Sanchis
2014 J jnl
Physical programming for preference driven evolutionary multi-objective optimization.
Appl. Soft Comput.
Gilberto Reynoso-Meza, Javier Sanchis, Xavier Blasco Ferragud, Sergio García-Nieto
2013 J jnl
Comparison of design concepts in multi-criteria decision-making using level diagrams.
Inf. Sci.
Gilberto Reynoso-Meza, Xavier Blasco Ferragud, Javier Sanchis, Juan Manuel Herrero Durá
2013 J jnl
Controller Tuning by Means of Multi-Objective Optimization Algorithms: A Global Tuning Framework.
IEEE Trans. Control. Syst. Technol.
Gilberto Reynoso-Meza, Sergio García-Nieto, Javier Sanchis, Xavier Blasco Ferragud
2012 J jnl
Multiobjective evolutionary algorithms for multivariable PI controller design.
Expert Syst. Appl.
Gilberto Reynoso-Meza, Javier Sanchis, Xavier Blasco Ferragud, Juan Manuel Herrero Durá
2011 — conf
An empirical study on parameter selection for multiobjective optimization algorithms using Differential Evolution.
SDE
Gilberto Reynoso-Meza, Javier Sanchis, Xavier Blasco Ferragud, Miguel A. Martínez
2011 C conf
Handling control engineer preferences: Getting the most of PI controllers.
ETFA
Gilberto Reynoso-Meza, Javier Sanchis, Xavier Blasco Ferragud, Juan Manuel Herrero Durá
2011 B conf
Hybrid DE algorithm with adaptive crossover operator for solving real-world numerical optimization problems.
IEEE Congress on Evolutionary Computation
Gilberto Reynoso-Meza, Javier Sanchis, Xavier Blasco Ferragud, Juan Manuel Herrero Durá
2010 — conf
Design of Continuous Controllers Using a Multiobjective Differential Evolution Algorithm with Spherical Pruning.
EvoApplications (1)
Gilberto Reynoso-Meza, Javier Sanchis, Xavier Blasco Ferragud, Miguel A. Martínez
2010 B conf
Iterative discrete forward-backward fuzzy predictive control.
FUZZ-IEEE
Sergio García-Nieto, José Vicente Salcedo, Miguel A. Martínez, Gilberto Reynoso-Meza
2010 J jnl
Modelling preferences in multi-objective engineering design.
Eng. Appl. Artif. Intell.
Javier Sanchis, Miguel A. Martínez, Xavier Blasco Ferragud, Gilberto Reynoso-Meza
2010 B conf
Multiobjective optimization algorithm for solving constrained single objective problems.
IEEE Congress on Evolutionary Computation
Gilberto Reynoso-Meza, Xavier Blasco Ferragud, Javier Sanchis, Miguel A. Martínez
2009 — conf
An Adaptive Parameter Control for the Differential Evolution Algorithm.
IWANN (1)
Gilberto Reynoso-Meza, Javier Sanchis, Xavier Blasco Ferragud