Luis M. Torres-Treviño
Cited by
Cited by
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
On-line coordination of directional overcurrent relays: Performance evaluation among optimization algorithms
MY Shih, AC Enríquez, LMT Trevino
Electric power systems research 110, 122-132, 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
Evonorm: Easy and effective implementation of estimation of distribution algorithms
L Torres-Trevino
Advances in Computer Science and Engineering, 75, 2006
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
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
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 (1-4), 535-544, 2013
Weldability of martensitic steel by resistance spot welding a neural network optimization in the automotive industry
VHL Cortéz, FAR Valdés, LT Treviño
Materials and Manufacturing Processes 24 (12), 1412-1417, 2009
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
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
Mexican International Conference on Artificial Intelligence, 1009-1019, 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
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
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
Followee recommendation in Twitter using fuzzy link prediction
SE Rodríguez, F. M.,Torres, L. M., and Garza
Expert Systems 33, 349–361, 2016
On the Implementation of a robotic welding process using 3D simulation environment
I Dàvila-Rìos, LM Torres-Trevino, I Lòpez-Juàrez
2008 Electronics, Robotics and Automotive Mechanics Conference (CERMA'08 …, 2008
Let the swarm be: an implicit elitism in swarm intelligence
LM Torres-Treviño
International Journal of Bio-Inspired Computation 9 (2), 65-76, 2017
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
Assembly line reconfiguration under disturbances: An evolutionary approach to decision making
SM Ramirez-Campos, LMT Trevino, MGC Campos, JV Leza
2006 15th International Conference on Computing, 24-32, 2006
Prediction of car accidents using a maximum sensitivity neural network
E Contreras, L Torres-Treviño, F Torres
Smart Technology, 86-95, 2018
Control by learning in a temperature system using a maximum sensibility neural network
D Cabrera-Gaona, LMT Treviño, A Rodríguez-Liñán
2013 12th Mexican International Conference on Artificial Intelligence, 109-113, 2013
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