Genetic algorithm-based multi-objective optimization of cutting parameters in turning processes R Quiza, M Rivas, E Alfonso Engineering Applications of Artificial Intelligence 19 (2), 127-133, 2006 | 364 | 2006 |
Multi-objective optimization of cutting parameters for drilling laminate composite materials by using genetic algorithms R Quiza, P Reis, JP Davim Composites Science and Technology 66 (15), 3083-3088, 2006 | 186 | 2006 |
Comparing statistical models and artificial neural networks on predicting the tool wear in hard machining D2 AISI steel R Quiza, L Figueira, J Paulo Davim The International Journal of Advanced Manufacturing Technology 37, 641-648, 2008 | 166 | 2008 |
Multi-objective optimization based on an improved cross-entropy method. A case study of a micro-scale manufacturing process G Beruvides, R Quiza, RE Haber Information Sciences 334, 161-173, 2016 | 82 | 2016 |
Digital twin-based optimization for ultraprecision motion systems with backlash and friction RH Guerra, R Quiza, A Villalonga, J Arenas, F Castano IEEE Access 7, 93462-93472, 2019 | 75 | 2019 |
Automatic selection of optimal parameters based on simple soft-computing methods: a case study of micromilling processes I la Fé-Perdomo, G Beruvides, R Quiza, R Haber, M Rivas IEEE Transactions on Industrial Informatics 15 (2), 800-811, 2018 | 69 | 2018 |
Surface roughness modeling and optimization of tungsten–copper alloys in micro-milling processes G Beruvides, F Castaño, R Quiza, RE Haber Measurement 86, 246-252, 2016 | 68 | 2016 |
Sensoring systems and signal analysis to monitor tool wear in microdrilling operations on a sintered tungsten–copper composite material G Beruvides, R Quiza, R Del Toro, RE Haber Sensors and Actuators A: Physical 199, 165-175, 2013 | 68 | 2013 |
A simple multi-objective optimization based on the cross-entropy method RE Haber, G Beruvides, R Quiza, A Hernandez Ieee Access 5, 22272-22281, 2017 | 59 | 2017 |
Computer vision system for welding inspection of liquefied petroleum gas pressure vessels based on combined digital image processing and deep learning techniques YJ Cruz, M Rivas, R Quiza, G Beruvides, RE Haber Sensors 20 (16), 4505, 2020 | 37 | 2020 |
Coping with complexity when predicting surface roughness in milling processes: hybrid incremental model with optimal parametrization G Beruvides, F Castaño, RE Haber, R Quiza, A Villalonga Complexity 2017, 2017 | 37 | 2017 |
Ensemble of convolutional neural networks based on an evolutionary algorithm applied to an industrial welding process YJ Cruz, M Rivas, R Quiza, A Villalonga, RE Haber, G Beruvides Computers in Industry 133, 103530, 2021 | 31 | 2021 |
Online detection of run out in microdrilling of tungsten and titanium alloys G Beruvides, R Quiza, M Rivas, F Castaño, RE Haber The International Journal of Advanced Manufacturing Technology 74, 1567-1575, 2014 | 30 | 2014 |
Computational methods and optimization R Quiza, JP Davim Machining of hard materials, 177-208, 2011 | 29 | 2011 |
Hybrid modeling and optimization of manufacturing: Combining artificial intelligence and finite element method R Quiza, O López-Armas, JP Davim Springer Science & Business Media, 2012 | 28 | 2012 |
Multi-objective optimisation of multipass turning by using a genetic algorithm R Quiza, JE Albelo, JP Davim International Journal of Materials and Product Technology 35 (1-2), 134-144, 2009 | 25 | 2009 |
Forecasting of wave energy in Canary Islands based on artificial intelligence D Avila, GN Marichal, I Padrón, R Quiza, Á Hernández Applied Ocean Research 101, 102189, 2020 | 24 | 2020 |
Correlation of the holes quality with the force signals in a microdrilling process of a sintered tungsten-copper alloy G Beruvides, R Quiza, R del Toro, F Castaño, RE Haber International Journal of Precision Engineering and Manufacturing 15, 1801-1808, 2014 | 24 | 2014 |
Sustainability-focused multi-objective optimization of a turning process I La Fé Perdomo, R Quiza, D Haeseldonckx, M Rivas International Journal of Precision Engineering and Manufacturing-Green …, 2020 | 18 | 2020 |
Optimización Multiobjetivos del proceso de Torneado R Quiza Director: Marcelino Rivas Santanas. Tesis Doctoral, Universidad de Matanzas …, 2004 | 18 | 2004 |