Enhanced differential evolution algorithm for coordination of directional overcurrent relays MY Shih, AC Enríquez, TY Hsiao, LMT Treviño Electric Power Systems Research 143, 365-375, 2017 | 73 | 2017 |
On-line coordination of directional overcurrent relays: Performance evaluation among optimization algorithms MY Shih, AC Enríquez, LMT Treviño Electric power systems research 110, 122-132, 2014 | 51 | 2014 |
Multi-objective optimization of a welding process by the estimation of the Pareto optimal set LM Torres-Treviño, FA Reyes-Valdes, V López, R Praga-Alejo Expert systems with applications 38 (7), 8045-8053, 2011 | 36 | 2011 |
A non-linear fuzzy regression for estimating reliability in a degradation process DS Gonzalez-Gonzalez, RJP Alejo, M Cantú-Sifuentes, ... Applied Soft Computing 16, 137-147, 2014 | 30 | 2014 |
Evonorm: Easy and effective implementation of estimation of distribution algorithms L Torres-Trevino Advances in Computer Science and Engineering, 75, 2006 | 30 | 2006 |
Machining optimization using swarm intelligence in titanium (6Al 4V) alloy IG Escamilla-Salazar, LM Torres-Treviño, B González-Ortíz, PC Zambrano The International Journal of Advanced Manufacturing Technology 67, 535-544, 2013 | 29 | 2013 |
An expert system for setting parameters in machining processes LM Torres-Treviño, IG Escamilla-Salazar, B González-Ortíz, ... Expert Systems with Applications 40 (17), 6877-6884, 2013 | 26 | 2013 |
A comparison between back propagation and the maximum sensibility neural network to surface roughness prediction in machining of titanium (ti 6al 4v) alloy I Escamilla, L Torres, P Perez, P Zambrano MICAI 2008: Advances in Artificial Intelligence: 7th Mexican International …, 2008 | 23 | 2008 |
Analysis and evaluation in a welding process applying a Redesigned Radial Basis Function RJ Praga-Alejo, LM Torres-Treviño, DS González-González, ... Expert Systems with Applications 39 (10), 9669-9675, 2012 | 20 | 2012 |
Optimization using neural network modeling and swarm intelligence in the machining of titanium (Ti 6Al 4V) alloy I Escamilla, P Perez, L Torres, P Zambrano, B Gonzalez 2009 Eighth Mexican International Conference on Artificial Intelligence, 33-38, 2009 | 20 | 2009 |
Weldability of martensitic steel by resistance spot welding a neural network optimization in the automotive industry VHL Cortéz, FAR Valdes, LT Treviño Materials and Manufacturing Processes 24 (12), 1412-1417, 2009 | 19 | 2009 |
Optimal determination of k constant of ridge regression using a simple genetic algorithm RJ Praga-Alejo, LM Torres-Trevio, MR Pia-Monarrez 2008 Electronics, Robotics and Automotive Mechanics Conference (CERMA'08), 39-44, 2008 | 16 | 2008 |
On-line learning in an embedded maximum sensibility neural network GG Sanmiguel, LL Gonzalez, LM Torres-Treviño, C Guerra 2012 11th Mexican International Conference on Artificial Intelligence, 75-79, 2012 | 15 | 2012 |
Followee recommendation in Twitter using fuzzy link prediction SE Rodríguez, F. M.,Torres, L. M., and Garza Expert Systems 33, 349–361, 2016 | 14 | 2016 |
Decoding the torque of lower limb joints from EEG recordings of pre-gait movements using a machine learning scheme L Mercado, L Alvarado, G Quiroz-Compean, R Romo-Vazquez, ... Neurocomputing 446, 118-129, 2021 | 13 | 2021 |
Prediction of car accidents using a maximum sensitivity neural network E Contreras, L Torres-Treviño, F Torres Smart Technology: First International Conference, MTYMEX 2017, Monterrey …, 2018 | 13 | 2018 |
Intelligent parameter identification of machining Ti64 alloy IG Escamilla-Salazar, L Gonzalez-Ortiz, Bernardo, Torres-Treviño The International Journal of Advanced Manufacturing Technology 86 (5-8 …, 2016 | 13 | 2016 |
Multi-objective optimization of a quadrotor flock performing target zone search LA Márquez-Vega, M Aguilera-Ruiz, LM Torres-Treviño Swarm and Evolutionary Computation 60, 100733, 2021 | 12 | 2021 |
Parameter estimation of a meal glucose–insulin model for TIDM patients from therapy historical data OD Sánchez, E Ruiz‐Velázquez, AY Alanís, G Quiroz, L Torres‐Treviño IET systems biology 13 (1), 8-15, 2019 | 12 | 2019 |
Autonomous foraging with a pack of robots based on repulsion, attraction and influence E Ordaz-Rivas, A Rodriguez-Liñan, L Torres-Treviño Autonomous Robots 45 (6), 919-935, 2021 | 11 | 2021 |