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Xavier Blasco Ferragud
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2020 – today
- 2023
- [j26]Uriel Veyna
, Xavier Blasco Ferragud
Parameter uncertainty modeling for multiobjective robust control design. Application to a temperature control system in a proton exchange membrane fuel cell. Eng. Appl. Artif. Intell. 119: 105758 (2023) - 2021
- [c23]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 - 2020
- [j25]Víctor Huilcapi
A Loop Pairing Method for Non-Linear Multivariable Control Systems Under a Multi-Objective Optimization Approach. IEEE Access 8: 41262-41281 (2020) - [j24]Alberto Pajares
Analyzing the Nearly Optimal Solutions in a Multi-Objective Optimization Approach for the Multivariable Nonlinear Identification of a PEM Fuel Cell Cooling System. IEEE Access 8: 114361-114377 (2020) - [j23]Santiago Navarro Giménez
Design and Experimental Validation of the Temperature Control of a PEMFC Stack by Applying Multiobjective Optimization. IEEE Access 8: 183324-183343 (2020) - [j22]Alberto Pajares
Multivariable Controller Design for the Cooling System of a PEM Fuel Cell by considering Nearly Optimal Solutions in a Multiobjective Optimization Approach. Complex. 2020: 8649428:1-8649428:17 (2020)
2010 – 2019
- 2019
- [j21]Alberto Pajares
A New Point of View in Multivariable Controller Tuning Under Multiobjetive Optimization by Considering Nearly Optimal Solutions. IEEE Access 7: 66435-66452 (2019) - [j20]Víctor Huilcapi
A Loop Pairing Method for Multivariable Control Systems Under a Multi-Objective Optimization Approach. IEEE Access 7: 81994-82014 (2019) - [j19]Santiago Navarro Giménez
Control-Oriented Modeling of the Cooling Process of a PEMFC-Based $\mu$ -CHP System. IEEE Access 7: 95620-95642 (2019) - 2018
- [j18]Alberto Pajares
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) - [c22]C. Babiera, Juan M. Herrero
Tuning DMC controller using multi-objective optimization for the CIC2018 Benchmark Challenge. ICSC 2018: 78-84 - 2017
- [j17]Jesus Velasco Carrau, Gilberto Reynoso-Meza, Sergio García-Nieto
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) - [c21]Xavier Blasco Ferragud
Interactive tool for analyzing multiobjective optimization results with level diagrams. GECCO (Companion) 2017: 1689-1696 - 2016
- [j16]Gilberto Reynoso-Meza
Evolutionary multi-objective optimisation with preferences for multivariable PI controller tuning. Expert Syst. Appl. 51: 120-133 (2016) - [j15]Gilberto Reynoso-Meza
Preference driven multi-objective optimization design procedure for industrial controller tuning. Inf. Sci. 339: 108-131 (2016) - [j14]Xavier Blasco Ferragud
Asymmetric distances to improve n-dimensional Pareto fronts graphical analysis. Inf. Sci. 340-341: 228-249 (2016) - 2015
- [c20]Helem Sabina Sánchez, Gilberto Reynoso-Meza
Multistage procedure for PI controller design of the Boiler Benchmark problem. ETFA 2015: 1-4 - 2014
- [j13]Gilberto Reynoso-Meza
Physical programming for preference driven evolutionary multi-objective optimization. Appl. Soft Comput. 24: 341-362 (2014) - [j12]Juan Manuel Herrero Durá
A Smart-Distributed Pareto Front Using the ev-MOGA Evolutionary Algorithm. Int. J. Artif. Intell. Tools 23(2) (2014) - 2013
- [j11]Gilberto Reynoso-Meza
Comparison of design concepts in multi-criteria decision-making using level diagrams. Inf. Sci. 221: 124-141 (2013) - [j10]Gilberto Reynoso-Meza
Controller Tuning by Means of Multi-Objective Optimization Algorithms: A Global Tuning Framework. IEEE Trans. Control. Syst. Technol. 21(2): 445-458 (2013) - 2012
- [j9]Emilio Pérez
Explicit predictive control with non-convex polyhedral constraints. Autom. 48(2): 419-424 (2012) - [j8]Gilberto Reynoso-Meza
Multiobjective evolutionary algorithms for multivariable PI controller design. Expert Syst. Appl. 39(9): 7895-7907 (2012) - 2011
- [c19]Gilberto Reynoso-Meza
Hybrid DE algorithm with adaptive crossover operator for solving real-world numerical optimization problems. IEEE Congress on Evolutionary Computation 2011: 1551-1556 - [c18]Gilberto Reynoso-Meza
Handling control engineer preferences: Getting the most of PI controllers. ETFA 2011: 1-8 - [c17]Gilberto Reynoso-Meza
An empirical study on parameter selection for multiobjective optimization algorithms using Differential Evolution. SDE 2011: 73-79 - 2010
- [j7]Javier Sanchis
Modelling preferences in multi-objective engineering design. Eng. Appl. Artif. Intell. 23(8): 1255-1264 (2010) - [c16]Gilberto Reynoso-Meza
Multiobjective optimization algorithm for solving constrained single objective problems. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c15]Gilberto Reynoso-Meza, Javier Sanchis
Design of Continuous Controllers Using a Multiobjective Differential Evolution Algorithm with Spherical Pruning. EvoApplications (1) 2010: 532-541
2000 – 2009
- 2009
- [j6]Miguel A. Martínez
Genetic algorithms optimization for normalized normal constraint method under Pareto construction. Adv. Eng. Softw. 40(4): 260-267 (2009) - [j5]Miguel Andres Martínez Iranzo
Applied Pareto multi-objective optimization by stochastic solvers. Eng. Appl. Artif. Intell. 22(3): 455-465 (2009) - [c14]Juan Manuel Herrero Durá, Xavier Blasco Ferragud, Miguel A. Martínez, Javier Sanchis:
Multiobjective Tuning of Robust GPC Controllers using Evolutionary Algorithms. IJCCI 2009: 263-268 - [c13]Gilberto Reynoso-Meza
An Adaptive Parameter Control for the Differential Evolution Algorithm. IWANN (1) 2009: 375-382 - [r1]Vicent Romero-García, Elies Fuster-García, J. V. Sánchez-Pérez, Lluís Miquel Garcia-Raffi, Xavier Blasco Ferragud, J. M. Herrero, Javier Sanchis:
Optimization of the Acoustic Systems. Encyclopedia of Artificial Intelligence 2009: 1296-1302 - 2008
- [j4]J. M. Herrero
Non-linear robust identification using evolutionary algorithms: Application to a biomedical process. Eng. Appl. Artif. Intell. 21(8): 1397-1408 (2008) - [j3]Javier Sanchis
Integrated multiobjective optimization and a priori preferences using genetic algorithms. Inf. Sci. 178(4): 931-951 (2008) - [j2]Xavier Blasco Ferragud
A new graphical visualization of n-dimensional Pareto front for decision-making in multiobjective optimization. Inf. Sci. 178(20): 3908-3924 (2008) - [c12]Juan Manuel Herrero Durá
Multiobjective Tuning of Robust PID Controllers Using Evolutionary Algorithms. EvoWorkshops 2008: 515-524 - 2007
- [c11]Juan Manuel Herrero Durá, Miguel A. Martínez, Javier Sanchis, Xavier Blasco Ferragud:
Well-Distributed Pareto Front by Using the e-MOGA Evolutionary Algorithm. IWANN 2007: 292-299 - [c10]Vicent Romero-García
Genetic Algorithm in the Optimization of the Acoustic Attenuation Systems. IWANN 2007: 614-621 - [c9]Juan Manuel Herrero Durá, Xavier Blasco Ferragud, Miguel A. Martínez, José Vicente Salcedo:
Non-linear Robust Identification: Application to a Thermal Process. IWINAC (1) 2007: 457-466 - [c8]Xavier Blasco Ferragud, Juan Manuel Herrero Durá, Javier Sanchis
Decision Making Graphical Tool for Multiobjective Optimization Problems. IWINAC (1) 2007: 568-577 - 2006
- [j1]Miguel A. Martínez
Multiobjective controller design handling human preferences. Eng. Appl. Artif. Intell. 19(8): 927-938 (2006) - 2005
- [c7]Juan Manuel Herrero Durá, Xavier Blasco Ferragud, Miguel Andres Martínez Iranzo, César Ramos:
Nonlinear Robust Identification with element-of-GA: FPS Under Several Norms Simultaneously. IWANN 2005: 993-1001 - [c6]Juan Manuel Herrero Durá, Xavier Blasco Ferragud, Miguel Andres Martínez Iranzo, César Ramos:
Nonlinear Robust Identification Using Multiobjective Evolutionary Algorithms. IWINAC (2) 2005: 231-241 - [c5]Miguel Andres Martínez Iranzo, Javier Sanchis
Genetic Algorithms for Multiobjective Controller Design. IWINAC (2) 2005: 242-251 - 2001
- [c4]Xavier Blasco Ferragud, Miguel Andres Martínez Iranzo, Juan S. Senent Español, Javier Sanchis:
Model Based Predictive Control Using Genetic Algorithms. Application to Greenhouses Climate Control. IWANN (1) 2001: 457-465 - [c3]Xavier Blasco Ferragud, Juan Manuel Herrero Durá, Miguel Andres Martínez Iranzo, Juan S. Senent Español:
Nonlinear Parametric Model Identification with Genetic Algorithms. Application to a Thermal Process. IWANN (1) 2001: 466-473
1990 – 1999
- 1998
- [c2]Juan S. Senent Español, Miguel Andres Martínez Iranzo
MIMO Predictive Control of Temperature and Humidity Inside a Greenhouse Using Simulated Annealing (SA) as Optimizer of a Multicriteria Index. IEA/AIE (Vol. 2) 1998: 271-279 - [c1]Xavier Blasco Ferragud, Miguel Andres Martínez Iranzo, Juan S. Senent Español, Javier Sanchis:
Generalized Predictive Control Using Genetic Algorithms (GAGPC). An Application to Control of a Non-linear Process with Model Uncertainty. IEA/AIE (Vol. 1) 1998: 428-437
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