Cikkek nyilvánosan hozzáférhető megbízással - Gilberto Reynoso Meza (ORCID:0000-0002-8392-6225)További információ
Sehol sem hozzáférhető: 8
Interactive tool for analyzing multiobjective optimization results with level diagrams
X Blasco, JM Herrero, G Reynoso-Meza, MAM Iranzo
Proceedings of the genetic and evolutionary computation conference companion …, 2017
Megbízások: Government of Spain
Random vector functional link forests and extreme learning forests applied to UAV automatic target recognition
VHA Ribeiro, R Santana, G Reynoso-Meza
Engineering Applications of Artificial Intelligence 117, 105538, 2023
Megbízások: Government of Spain
Considerations on loop pairing in MIMO processes. A multi-criteria analysis
JM Herrero, G Reynoso-Meza, C Ramos, X Blasco
IFAC-PapersOnLine 50 (1), 4454-4459, 2017
Megbízások: Government of Spain
Multistage procedure for PI controller design of the boiler benchmark problem
HS Sánchez, G Reynoso-Meza, R Vilanova, X Blasco
2015 IEEE 20th Conference on Emerging Technologies & Factory Automation …, 2015
Megbízások: Government of Spain
Application of an input-output pairings selection methodology to control multivariable systems based on multi-objective optimization
V Huilcapi, X Blasco, JM Herrero, A Pajares, G Reynoso-Meza
2021 International Conference on Computational Science and Computational …, 2021
Megbízások: Government of Spain
Model mismatch in multi-objective optimisation and preservation of trade-off order.
G Reynoso-Meza, A Vignoni, Y Boada, J Picü, E Picü
IFAC-PapersOnLine 52 (26), 249-254, 2019
Megbízások: Government of Spain
Spanish Control Engineering Challenge: An Educational Experience
X Blasco, G Reynoso-Meza, SGN Rodriguez, J Velasco
CONTROLO’2014–Proceedings of the 11th Portuguese Conference on Automatic …, 2015
Megbízások: Government of Spain
An Evolutionary Multiobjective Optimization Approach for HEV Energy Management System
A Pajares Ferrando, X Blasco Ferragud, G Reynoso-Meza, ...
CONTROLO’2014–Proceedings of the 11th Portuguese Conference on Automatic …, 2015
Megbízások: Government of Spain
Valahol hozzáférhető: 32
Controller tuning using evolutionary multi-objective optimisation: current trends and applications
G Reynoso-Meza, X Blasco, J Sanchis, M Martínez
Control Engineering Practice 28, 58-73, 2014
Megbízások: Government of Spain
Controller tuning by means of multi-objective optimization algorithms: A global tuning framework
G Reynoso-Meza, S Garcia-Nieto, J Sanchis, FX Blasco
IEEE Transactions on Control Systems Technology 21 (2), 445-458, 2012
Megbízások: Government of Spain
Hybrid DE algorithm with adaptive crossover operator for solving real-world numerical optimization problems
G Reynoso-Meza, J Sanchis, X Blasco, JM Herrero
2011 IEEE congress of evolutionary computation (CEC), 1551-1556, 2011
Megbízások: Government of Spain
Comparison of design concepts in multi-criteria decision-making using level diagrams
G Reynoso-Meza, X Blasco, J Sanchis, JM Herrero
Information Sciences 221, 124-141, 2013
Megbízások: Government of Spain
Multiobjective evolutionary algorithms for multivariable PI controller design
G Reynoso-Meza, J Sanchis, X Blasco, JM Herrero
Expert Systems with Applications 39 (9), 7895-7907, 2012
Megbízások: Government of Spain
Physical programming for preference driven evolutionary multi-objective optimization
G Reynoso-Meza, J Sanchis, X Blasco, S Garcia-Nieto
Applied Soft Computing 24, 341-362, 2014
Megbízások: Government of Spain
Multi-objective optimization framework to obtain model-based guidelines for tuning biological synthetic devices: an adaptive network case
Y Boada, G Reynoso-Meza, J Picó, A Vignoni
BMC systems biology 10, 1-19, 2016
Megbízások: Government of Spain
Evolutionary multi-objective optimisation with preferences for multivariable PI controller tuning
G Reynoso-Meza, J Sanchis, X Blasco, RZ Freire
Expert Systems with Applications 51, 120-133, 2016
Megbízások: Government of Spain
Preference driven multi-objective optimization design procedure for industrial controller tuning
G Reynoso-Meza, J Sanchis, X Blasco, M Martínez
Information Sciences 339, 108-131, 2016
Megbízások: Government of Spain
Enhancing controller’s tuning reliability with multi-objective optimisation: From model in the loop to hardware in the loop
JV Carrau, G Reynoso-Meza, S García-Nieto, X Blasco
Engineering Applications of Artificial Intelligence 64, 52-66, 2017
Megbízások: Government of Spain
A multiobjective genetic algorithm for the localization of optimal and nearly optimal solutions which are potentially useful: nevMOGA
A Pajares, X Blasco, JM Herrero, G Reynoso-Meza
Complexity 2018 (1), 1792420, 2018
Megbízások: Government of Spain
A smart-distributed Pareto front using the ev-MOGA evolutionary algorithm
JM Herrero, G Reynoso-Meza, M Martínez, X Blasco, J Sanchis
International Journal on Artificial Intelligence Tools 23 (02), 1450002, 2014
Megbízások: Government of Spain
A publikációs és a finanszírozási adatokat számítógépes program határozza meg, automatikusan.