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Luis M. Torres-Treviño
标题
引用次数
引用次数
年份
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
732017
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
512014
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
362011
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
302014
Evonorm: Easy and effective implementation of estimation of distribution algorithms
L Torres-Trevino
Advances in Computer Science and Engineering, 75, 2006
302006
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
292013
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
262013
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
232008
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
202012
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
202009
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
192009
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
162008
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
152012
Followee recommendation in Twitter using fuzzy link prediction
SE Rodríguez, F. M.,Torres, L. M., and Garza
Expert Systems 33, 349–361, 2016
142016
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
132021
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
132018
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
132016
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
122021
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
122019
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
112021
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