Generalized Predictive Control Using Genetic Algorithms (GAGPC). An Application to Control of a Non-linear Process with Model Uncertainty. - Xavier Blasco Ferragud; Miguel Andres Martínez Iranzo; Juan S. Senent Español; Javier Sanchis (IEA/AIE (Vol. 1), 1998)

MIMO Predictive Control of Temperature and Humidity Inside a Greenhouse Using Simulated Annealing (SA) as Optimizer of a Multicriteria Index. - Juan S. Senent Español; Miguel Andres Martínez Iranzo; Xavier Blasco Ferragud; Javier Sanchis (IEA/AIE (Vol. 2), 1998)

Model Based Predictive Control Using Genetic Algorithms. Application to Greenhouses Climate Control. - Xavier Blasco Ferragud; Miguel Andres Martínez Iranzo; Juan S. Senent Español; Javier Sanchis (IWANN (1), 2001)

A hybrid method oriented to concatenative text-to-speech synthesis. - Ignasi Iriondo Sanz; Francesc Alías; Javier Sanchis; Javier Melenchón (INTERSPEECH, 2003)

Genetic Algorithms for Multiobjective Controller Design. - Miguel Andres Martínez Iranzo; Javier Sanchis; Xavier Blasco Ferragud (IWINAC (2), 2005)

Multiobjective controller design handling human preferences. - Miguel A. Martínez 001; Javier Sanchis; Xavier Blasco Ferragud (Eng. Appl. Artif. Intell., 2006)

Well-Distributed Pareto Front by Using the e-MOGA Evolutionary Algorithm. - Juan Manuel Herrero Durá; Miguel A. Martínez 001; Javier Sanchis; Xavier Blasco Ferragud (IWANN, 2007)

Genetic Algorithm in the Optimization of the Acoustic Attenuation Systems. - Vicent Romero-García; Elies Fuster-García; J. V. Sánchez-Pérez; Lluís Miquel Garcia-Raffi; Xavier Blasco Ferragud; Juan Manuel Herrero Durá; Javier Sanchis (IWANN, 2007)

Decision Making Graphical Tool for Multiobjective Optimization Problems. - Xavier Blasco Ferragud; Juan Manuel Herrero Durá; Javier Sanchis; Miguel A. Martínez 001 (IWINAC (1), 2007)

Multiobjective Tuning of Robust PID Controllers Using Evolutionary Algorithms. - Juan Manuel Herrero Durá; Xavier Blasco Ferragud; Miguel A. Martínez 001; Javier Sanchis (EvoWorkshops, 2008)

Non-linear robust identification using evolutionary algorithms: Application to a biomedical process. - J. M. Herrero; Xavier Blasco Ferragud; Miguel A. Martínez 001; César Ramos; Javier Sanchis (Eng. Appl. Artif. Intell., 2008)

A new graphical visualization of n-dimensional Pareto front for decision-making in multiobjective optimization. - Xavier Blasco Ferragud; Juan Manuel Herrero Durá; Javier Sanchis; Miguel A. Martínez 001 (Inf. Sci., 2008)

Integrated multiobjective optimization and a priori preferences using genetic algorithms. - Javier Sanchis; Miguel A. Martínez 001; Xavier Blasco Ferragud (Inf. Sci., 2008)

Multiobjective Tuning of Robust GPC Controllers using Evolutionary Algorithms. - Juan Manuel Herrero Durá; Xavier Blasco Ferragud; Miguel A. Martínez 001; Javier Sanchis (IJCCI, 2009)

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

Genetic algorithms optimization for normalized normal constraint method under Pareto construction. - Miguel A. Martínez 001; Sergio García-Nieto; Javier Sanchis; Xavier Blasco Ferragud (Adv. Eng. Softw., 2009)

Applied Pareto multi-objective optimization by stochastic solvers. - Miguel Andres Martínez Iranzo; Juan Manuel Herrero Durá; Javier Sanchis; Xavier Blasco Ferragud; Sergio García-Nieto (Eng. Appl. Artif. Intell., 2009)

Robust constrained receding-horizon predictive control via bounded data uncertainties. - César Ramos; Miguel A. Martínez 001; Javier Sanchis; José Vicente Salcedo (Math. Comput. Simul., 2009)

Optimization of the Acoustic Systems. - Vicent Romero-García; Elies Fuster-García; J. V. Sánchez-Pérez; Lluís Miquel Garcia-Raffi; Xavier Blasco Ferragud; J. M. Herrero; Javier Sanchis (Encyclopedia of Artificial Intelligence, 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)

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)

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)

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)

Tuning DMC controller using multi-objective optimization for the CIC2018 Benchmark Challenge. - C. Babiera; Juan M. Herrero; Javier Sanchis; Xavier Blasco Ferragud (ICSC, 2018)

Comparative Study of 3-Dimensional Path Planning Methods Constrained by the Maneuverability of Unmanned Aerial Vehicles. - Franklin Samaniego; Javier Sanchis; Sergio García-Nieto; Raul Simarro (ICSC, 2018)

New optimal controller tuning method for an AVR system using a simplified Ant Colony Optimization with a new constrained Nelder-Mead algorithm. - Maude-Josée Blondin; Javier Sanchis; Pierre Sicard; J. M. Herrero (Appl. Soft Comput., 2018)

WH-EA: An Evolutionary Algorithm for Wiener-Hammerstein System Identification. - Julio César Zambrano; Javier Sanchis; Juan Manuel Herrero Durá; Miguel A. Martínez 001 (Complex., 2018)

WH-MOEA: A Multi-Objective Evolutionary Algorithm for Wiener-Hammerstein System Identification. A Novel Approach for Trade-Off Analysis Between Complexity and Accuracy. - Julio César Zambrano; Javier Sanchis; Juan Manuel Herrero Durá; Miguel A. Martínez 001 (IEEE Access, 2020)

A Unified Approach for the Identification of Wiener, Hammerstein, and Wiener-Hammerstein Models by Using WH-EA and Multistep Signals. - Julio César Zambrano; Javier Sanchis; Juan Manuel Herrero Durá; Miguel A. Martínez 001 (Complex., 2020)

Studying the Use of ANN to Estimate State-Space Variables for MIMO Systems in a NMPC Strategy. - Aimar Alonso; Asier Zabaljauregi; Mikel Larrea; Eloy Irigoyen; Javier Sanchis (SOCO, 2022)

Control of MIMO Systems with iMO-NMPC Strategy. - Asier Zabaljauregi; Aimar Alonso; Mikel Larrea; Eloy Irigoyen; Javier Sanchis (SOCO, 2022)

Hyperparameter Tuning of a Deep Learning EEG-based Neural Network for the Diagnosis of ADHD. - Javier Sanchis; Miguel A. Teruel; Juan Trujillo 001 (IEEE Big Data, 2023)

An Approach Aligned with Model Driven Development to Evaluate the Quality of Explainable Artificial Intelligence. - Álvaro Navarro; Javier Sanchis; Alejandro Maté; Juan Trujillo 001 (ER (Workshops), 2023)

Mobile robotics in smart farming: current trends and applications. - Darío Fernando Yépez-Ponce; José Vicente Salcedo; Paul D. Rosero-Montalvo; Javier Sanchis (Frontiers Artif. Intell., 2023)

Conditional scenario-based model predictive control. - Edwin González; Javier Sanchis; José Vicente Salcedo; Miguel A. Martínez 001 (J. Frankl. Inst., 2023)

Evaluating CNN Methods for Epileptic Seizure Type Classification Using EEG Data. - Manuel J. Rivera; Javier Sanchis; Óscar Corcho; Miguel A. Teruel; Juan Trujillo 001 (IEEE Access, 2024)

A Decision Support System Based on multi-head convolutional and Recurrent Neural Networks for assisting physicians in diagnosing ADHD. - Javier Sanchis; Miguel A. Teruel; Juan Trujillo 001 (Comput. Biol. Medicine, 2025)