Gilberto Reynoso-Meza

Orcid: 0000-0002-8392-6225

According to our database1, Gilberto Reynoso-Meza authored at least 45 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
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., January, 2024

2022
Multi-objective PID Controller Tuning for Multi-model Control of Nonlinear Systems.
SN Comput. Sci., 2022

2021
Self-adaptive differential evolution applied to combustion engine calibration.
Soft Comput., 2021

Leveraging Data Scientists and Business Expectations During the COVID-19 Pandemic.
Proceedings of the 8th IEEE/ACM International Workshop on Software Engineering Research and Industrial Practice, 2021

TimeStacking: An Improved Ensemble Learning Method for Continuous Time Series Classification.
Proceedings of the Product Lifecycle Management. Green and Blue Technologies to Support Smart and Sustainable Organizations, 2021

2020
Ensemble learning by means of a multi-objective optimization design approach for dealing with imbalanced data sets.
Expert Syst. Appl., 2020

Multi-objective ensembles of echo state networks and extreme learning machines for streamflow series forecasting.
Eng. Appl. Artif. Intell., 2020

A Loop Pairing Method for Non-Linear Multivariable Control Systems Under a Multi-Objective Optimization Approach.
IEEE Access, 2020

Dynamic Multi-criteria Classifier Selection for Illegal Tapping Detection in Oil Pipelines.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
A holistic multi-objective optimization design procedure for ensemble member generation and selection.
Appl. Soft Comput., 2019

A New Point of View in Multivariable Controller Tuning Under Multiobjetive Optimization by Considering Nearly Optimal Solutions.
IEEE Access, 2019

A Loop Pairing Method for Multivariable Control Systems Under a Multi-Objective Optimization Approach.
IEEE Access, 2019

Multi-Objective Ensemble Model for Short-Term Price Forecasting in Corn Price Time Series.
Proceedings of the International Joint Conference on Neural Networks, 2019

Monitoring of drinking-water quality by means of a multi-objective ensemble learning approach.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

A study of Pareto-based methods for ensemble pool generation and aggregation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
A Multiobjective Genetic Algorithm for the Localization of Optimal and Nearly Optimal Solutions Which Are Potentially Useful: nevMOGA.
Complex., 2018

A multi-objective optimization design framework for ensemble generation.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Online anomaly detection for drinking water quality using a multi-objective machine learning approach.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Multi-objective PID Controller Tuning for an Industrial Gasifier.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Multi-objective Support Vector Machines Ensemble Generation for Water Quality Monitoring.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Enhancing controller's tuning reliability with multi-objective optimisation: From Model in the loop to Hardware in the loop.
Eng. Appl. Artif. Intell., 2017

Static force capability optimization of humanoids robots based on modified self-adaptive differential evolution.
Comput. Oper. Res., 2017

Interactive tool for analyzing multiobjective optimization results with level diagrams.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
Preference driven multi-objective optimization design procedure for industrial controller tuning.
Inf. Sci., 2016

Asymmetric distances to improve n-dimensional Pareto fronts graphical analysis.
Inf. Sci., 2016

Evolutionary multi-objective optimisation with preferences for multivariable PI controller tuning.
Expert Syst. Appl., 2016

Multi-objective optimization framework to obtain model-based guidelines for tuning biological synthetic devices: an adaptive network case.
BMC Syst. Biol., 2016

RBF Neural Network combined with self-adaptive MODE and Genetic Algorithm to identify velocity profile of swimmers.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

On the improvement of static force capacity of humanoid robots based on plants behavior.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Multi-objective optimization approach to stock market technical indicators.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Efficient Sampling of PI Controllers in Evolutionary Multiobjective Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Multistage procedure for PI controller design of the Boiler Benchmark problem.
Proceedings of the 20th IEEE Conference on Emerging Technologies & Factory Automation, 2015

2014
A Smart-Distributed Pareto Front Using the ev-MOGA Evolutionary Algorithm.
Int. J. Artif. Intell. Tools, 2014

Physical programming for preference driven evolutionary multi-objective optimization.
Appl. Soft Comput., 2014

2013
Controller Tuning by Means of Multi-Objective Optimization Algorithms: A Global Tuning Framework.
IEEE Trans. Control. Syst. Technol., 2013

Comparison of design concepts in multi-criteria decision-making using level diagrams.
Inf. Sci., 2013

2012
Multiobjective evolutionary algorithms for multivariable PI controller design.
Expert Syst. Appl., 2012

2011
An empirical study on parameter selection for multiobjective optimization algorithms using Differential Evolution.
Proceedings of the 2011 IEEE Symposium on Differential Evolution, 2011

Handling control engineer preferences: Getting the most of PI controllers.
Proceedings of the IEEE 16th Conference on Emerging Technologies & Factory Automation, 2011

Hybrid DE algorithm with adaptive crossover operator for solving real-world numerical optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Modelling preferences in multi-objective engineering design.
Eng. Appl. Artif. Intell., 2010

Iterative discrete forward-backward fuzzy predictive control.
Proceedings of the FUZZ-IEEE 2010, 2010

Design of Continuous Controllers Using a Multiobjective Differential Evolution Algorithm with Spherical Pruning.
Proceedings of the Applications of Evolutionary Computation, 2010

Multiobjective optimization algorithm for solving constrained single objective problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
An Adaptive Parameter Control for the Differential Evolution Algorithm.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009


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