An Adaptive Parameter Control for the Differential Evolution Algorithm. - Gilberto Reynoso-Meza; Javier Sanchis; Xavier Blasco Ferragud (IWANN (1), 2009)

Multiobjective optimization algorithm for solving constrained single objective problems. - Gilberto Reynoso-Meza; Xavier Blasco Ferragud; Javier Sanchis; Miguel A. Martínez 001 (IEEE Congress on Evolutionary Computation, 2010)

Design of Continuous Controllers Using a Multiobjective Differential Evolution Algorithm with Spherical Pruning. - Gilberto Reynoso-Meza; Javier Sanchis; Xavier Blasco Ferragud; Miguel A. Martínez 001 (EvoApplications (1), 2010)

Iterative discrete forward-backward fuzzy predictive control. - Sergio García-Nieto; José Vicente Salcedo; Miguel A. Martínez 001; Gilberto Reynoso-Meza (FUZZ-IEEE, 2010)

Modelling preferences in multi-objective engineering design. - Javier Sanchis; Miguel A. Martínez 001; Xavier Blasco Ferragud; Gilberto Reynoso-Meza (Eng. Appl. Artif. Intell., 2010)

Hybrid DE algorithm with adaptive crossover operator for solving real-world numerical optimization problems. - Gilberto Reynoso-Meza; Javier Sanchis; Xavier Blasco Ferragud; Juan Manuel Herrero Durá (IEEE Congress on Evolutionary Computation, 2011)

Handling control engineer preferences: Getting the most of PI controllers. - Gilberto Reynoso-Meza; Javier Sanchis; Xavier Blasco Ferragud; Juan Manuel Herrero Durá (ETFA, 2011)

An empirical study on parameter selection for multiobjective optimization algorithms using Differential Evolution. - Gilberto Reynoso-Meza; Javier Sanchis; Xavier Blasco Ferragud; Miguel A. Martínez 001 (SDE, 2011)

Multiobjective evolutionary algorithms for multivariable PI controller design. - Gilberto Reynoso-Meza; Javier Sanchis; Xavier Blasco Ferragud; Juan Manuel Herrero Durá (Expert Syst. Appl., 2012)

Comparison of design concepts in multi-criteria decision-making using level diagrams. - Gilberto Reynoso-Meza; Xavier Blasco Ferragud; Javier Sanchis; Juan Manuel Herrero Durá (Inf. Sci., 2013)

Controller Tuning by Means of Multi-Objective Optimization Algorithms: A Global Tuning Framework. - Gilberto Reynoso-Meza; Sergio García-Nieto; Javier Sanchis; Xavier Blasco Ferragud (IEEE Trans. Control. Syst. Technol., 2013)

Physical programming for preference driven evolutionary multi-objective optimization. - Gilberto Reynoso-Meza; Javier Sanchis; Xavier Blasco Ferragud; Sergio García-Nieto (Appl. Soft Comput., 2014)

A Smart-Distributed Pareto Front Using the ev-MOGA Evolutionary Algorithm. - Juan Manuel Herrero Durá; Gilberto Reynoso-Meza; Miguel A. Martínez 001; Xavier Blasco Ferragud; Javier Sanchis (Int. J. Artif. Intell. Tools, 2014)

Multistage procedure for PI controller design of the Boiler Benchmark problem. - Helem Sabina Sánchez; Gilberto Reynoso-Meza; Ramón Vilanova; Xavier Blasco Ferragud (ETFA, 2015)

Efficient Sampling of PI Controllers in Evolutionary Multiobjective Optimization. - Gilberto Reynoso-Meza; Leandro dos Santos Coelho; Roberto Zanetti Freire (GECCO, 2015)

Multi-objective optimization approach to stock market technical indicators. - Ricardo de Almeida; Gilberto Reynoso-Meza; Maria Teresinha Arns Steiner (CEC, 2016)

On the improvement of static force capacity of humanoid robots based on plants behavior. - Juliano Pierezan; Roberto Zanetti Freire; Lucas Weihmann; Gilberto Reynoso-Meza; Leandro dos Santos Coelho (ESANN, 2016)

RBF Neural Network combined with self-adaptive MODE and Genetic Algorithm to identify velocity profile of swimmers. - Luciano Ferreira da Cruz; Roberto Zanetti Freire; Gilberto Reynoso-Meza; Flavia B. Pinto; Leandro dos Santos Coelho (SSCI, 2016)

Multi-objective optimization framework to obtain model-based guidelines for tuning biological synthetic devices: an adaptive network case. - Yadira Boada; Gilberto Reynoso-Meza; Jesús Picó; Alejandro Vignoni (BMC Syst. Biol., 2016)

Evolutionary multi-objective optimisation with preferences for multivariable PI controller tuning. - Gilberto Reynoso-Meza; Javier Sanchis; Xavier Blasco Ferragud; Roberto Zanetti Freire (Expert Syst. Appl., 2016)

Asymmetric distances to improve n-dimensional Pareto fronts graphical analysis. - Xavier Blasco Ferragud; Gilberto Reynoso-Meza; Enrique Alfonso Sánchez-Pérez; Juan V. Sánchez-Pérez (Inf. Sci., 2016)

Preference driven multi-objective optimization design procedure for industrial controller tuning. - Gilberto Reynoso-Meza; Javier Sanchis; Xavier Blasco Ferragud; Miguel A. Martínez 001 (Inf. Sci., 2016)

Interactive tool for analyzing multiobjective optimization results with level diagrams. - Xavier Blasco Ferragud; Juan Manuel Herrero Durá; Gilberto Reynoso-Meza; Miguel Andres Martínez Iranzo (GECCO (Companion), 2017)

Static force capability optimization of humanoids robots based on modified self-adaptive differential evolution. - Juliano Pierezan; Roberto Zanetti Freire; Lucas Weihmann; Gilberto Reynoso-Meza; Leandro dos Santos Coelho (Comput. Oper. Res., 2017)

Enhancing controller's tuning reliability with multi-objective optimisation: From Model in the loop to Hardware in the loop. - Jesus Velasco Carrau; Gilberto Reynoso-Meza; Sergio García-Nieto; Xavier Blasco Ferragud (Eng. Appl. Artif. Intell., 2017)

Multi-objective Support Vector Machines Ensemble Generation for Water Quality Monitoring. - Victor Henrique Alves Ribeiro; Gilberto Reynoso-Meza (CEC, 2018)

Multi-objective PID Controller Tuning for an Industrial Gasifier. - Victor Henrique Alves Ribeiro; Gilberto Reynoso-Meza (CEC, 2018)

Online anomaly detection for drinking water quality using a multi-objective machine learning approach. - Victor Henrique Alves Ribeiro; Gilberto Reynoso-Meza (GECCO (Companion), 2018)

A multi-objective optimization design framework for ensemble generation. - Victor Henrique Alves Ribeiro; Gilberto Reynoso-Meza (GECCO (Companion), 2018)

A Multiobjective Genetic Algorithm for the Localization of Optimal and Nearly Optimal Solutions Which Are Potentially Useful: nevMOGA. - Alberto Pajares; Xavier Blasco Ferragud; Juan M. Herrero; Gilberto Reynoso-Meza (Complex., 2018)

A study of Pareto-based methods for ensemble pool generation and aggregation. - Victor Henrique Alves Ribeiro; Gilberto Reynoso-Meza (CEC, 2019)

Monitoring of drinking-water quality by means of a multi-objective ensemble learning approach. - Victor Henrique Alves Ribeiro; Gilberto Reynoso-Meza (GECCO (Companion), 2019)

Multi-Objective Ensemble Model for Short-Term Price Forecasting in Corn Price Time Series. - Matheus Henrique Dal Molin Ribeiro; Victor Henrique Alves Ribeiro; Gilberto Reynoso-Meza; Leandro dos Santos Coelho (IJCNN, 2019)

A Loop Pairing Method for Multivariable Control Systems Under a Multi-Objective Optimization Approach. - Víctor Huilcapi; Xavier Blasco Ferragud; Juan Manuel Herrero Durá; Gilberto Reynoso-Meza (IEEE Access, 2019)

A New Point of View in Multivariable Controller Tuning Under Multiobjetive Optimization by Considering Nearly Optimal Solutions. - Alberto Pajares; Xavier Blasco Ferragud; Juan Manuel Herrero Durá; Gilberto Reynoso-Meza (IEEE Access, 2019)

A holistic multi-objective optimization design procedure for ensemble member generation and selection. - Victor Henrique Alves Ribeiro; Gilberto Reynoso-Meza (Appl. Soft Comput., 2019)

Dynamic Multi-criteria Classifier Selection for Illegal Tapping Detection in Oil Pipelines. - Victor Henrique Alves Ribeiro; Pedro H. L. S. P. Domingues; Paulo Rodrigo Cavalin; Gilberto Reynoso-Meza; Helon Vicente Hultmann Ayala; Luís Fernando Alzuguir Azevedo (IJCNN, 2020)

A Loop Pairing Method for Non-Linear Multivariable Control Systems Under a Multi-Objective Optimization Approach. - Víctor Huilcapi; Xavier Blasco Ferragud; Juan Manuel Herrero Durá; Gilberto Reynoso-Meza (IEEE Access, 2020)

Multi-objective ensembles of echo state networks and extreme learning machines for streamflow series forecasting. - Victor Henrique Alves Ribeiro; Gilberto Reynoso-Meza; Hugo Valadares Siqueira (Eng. Appl. Artif. Intell., 2020)

Ensemble learning by means of a multi-objective optimization design approach for dealing with imbalanced data sets. - Victor Henrique Alves Ribeiro; Gilberto Reynoso-Meza (Expert Syst. Appl., 2020)

Application of an input-output pairings selection methodology to control multivariable systems based on multi-objective optimization. - Víctor Huilcapi; Xavier Blasco Ferragud; Juan M. Herrero; Alberto Pajares; Gilberto Reynoso-Meza (CSCI, 2021)

TimeStacking: An Improved Ensemble Learning Method for Continuous Time Series Classification. - Victor Henrique Alves Ribeiro; Gilberto Reynoso-Meza (PLM (2), 2021)

Leveraging Data Scientists and Business Expectations During the COVID-19 Pandemic. - Wellington Rodrigo Monteiro; Marcio Leandro do Prado; Gilberto Reynoso-Meza (SER&IP@ICSE, 2021)

Self-adaptive differential evolution applied to combustion engine calibration. - José Márcio Fachin; Gilberto Reynoso-Meza; Viviana Cocco Mariani; Leandro dos Santos Coelho (Soft Comput., 2021)

Multi-objective PID Controller Tuning for Multi-model Control of Nonlinear Systems. - Gilberto Reynoso-Meza; Jesús Carrillo-Ahumada; Victor Henrique Alves Ribeiro; Tainara Marques (SN Comput. Sci., 2022)

A Multicriteria Framework Proposition for Project Management Approaches. - Marcio Leandro do Prado; João Felipe Capioto Seelent; Gilberto Reynoso-Meza; Guilherme Brittes Benitez (PLM (1), 2023)

An industrial edge computing architecture for Local Digital Twin. - 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 (Comput. Ind. Eng., 2024)

Multi-criteria Decision-Making Techniques for the Selection of Pareto-optimal Machine Learning Models in a Drinking-Water Quality Monitoring Problem. - Victor Henrique Alves Ribeiro; Gilberto Reynoso-Meza (Int. J. Inf. Technol. Decis. Mak., 2024)