Luis M. Torres-Treviño

58 papers Journal 29Unranked 29
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multi-objective optimization in autonomous foraging using swarm robots.
Swarm Evol. Comput.
Erick Ordaz-Rivas, Juan Angel Rodríguez-Liñán, Luis M. Torres-Treviño
2025 J jnl
Environmental Assessment in Pear Cactus Cultivation Using IoT + edge AI.
Res. Comput. Sci.
Luis M. Torres-Treviño, Alejandro Isabel Luna-Maldonado, Erik Ricardo Palacios-Garza, Erick Ordaz-Rivas
2024 J jnl
Improving performance in swarm robots using multi-objective optimization.
Math. Comput. Simul.
Erick Ordaz-Rivas, Luis M. Torres-Treviño
2024 J jnl
Making Medical Prescription Automatic: The Case of Prescribing Therapies in Ankle Fracture Rehabilitation by Means of a Computer-Aided System.
IEEE Access
Berenice Cotri-Melecez, Griselda Quiroz-Compeán, Luis M. Torres-Treviño, Angel Rodríguez-Liñán, Iliana Quintero Raygoza, Oscar Salas Fraire
2024 J jnl
On developing a green and intelligent manufacturing system.
Expert Syst. Appl.
Luis M. Torres-Treviño, Indira G. Escamilla-Salazar, Bernardo González-Ortíz
2023 J jnl
Development of a muscle electrical stimulation parameter selection method with an intelligent system.
Eng. Appl. Artif. Intell.
Rogelio García-Aguirre, Luis M. Torres-Treviño, Griselda Quiroz-Compeán, Angel Rodríguez-Liñán
2023 — conf
NATLOC: Natural Language Object Localization.
MICAI (2)
Erik Ricardo Palacios-Garza, Luis M. Torres-Treviño
2023 J jnl
System identification for T1D via artificial intelligence algorithms: Evolutionary or swarm.
Biomed. Signal Process. Control.
Claudia Patricia Flores-Gutiérrez, Griselda Quiroz-Compeán, Octavio I. Renteria-Vidales, Luis M. Torres-Treviño, Eduardo Ruiz-Velázquez, Ricardo Femat
2022 — conf
Modeling and Simulation of Swarm of Foraging Robots for Collecting Resources Using RAOI Behavior Policies.
MICAI (2)
Erick Ordaz-Rivas, Luis M. Torres-Treviño
2022 — conf
Towards an Interpretable Model for Automatic Classification of Endoscopy Images.
MICAI (1)
Rogelio García-Aguirre, Luis M. Torres-Treviño, Eva María Navarro-López, José Alberto González-González
2021 J jnl
A 2020 taxonomy of algorithms inspired on living beings behavior.
CoRR
Luis M. Torres-Treviño
2021 J jnl
An Approach to Acquire Path-Following Skills by Industrial Robots From Human Demonstration.
IEEE Access
Angel Rodríguez-Liñán, Ismael López-Juárez, Alan de Jesus Maldonado-Ramirez, Antonio Zalapa-Elias, Luis M. Torres-Treviño, Jose Luis Navarro Gonzalez, Pamela Chiñas-Sanchez
2021 J jnl
Autonomous foraging with a pack of robots based on repulsion, attraction and influence.
Auton. Robots
Erick Ordaz-Rivas, Angel Rodríguez-Liñán, Luis M. Torres-Treviño
2021 J jnl
Decoding the torque of lower limb joints from EEG recordings of pre-gait movements using a machine learning scheme.
Neurocomputing
Luis Mercado, Lucero Alvarado, Griselda Quiroz-Compeán, Rebeca Romo-Vazquez, Hugo Vélez-Pérez, Miguel Angel Platas-Garza, Andrés A. González-Garrido, Jesús Emmanuel Gómez-Correa, José Alejandro Morales, Angel Rodríguez-Liñán, Luis M. Torres-Treviño, José Maria Azorín
2021 J jnl
Flock of Robots with Self-Cooperation for Prey-Predator Task.
J. Intell. Robotic Syst.
Erick Ordaz-Rivas, Angel Rodríguez-Liñán, Luis M. Torres-Treviño
2021 J jnl
Hyperparameter Optimization for Transfer Learning in Gastrointestinal Image Classification Using an Evolutionary Algorithm: Proof of Concept.
Res. Comput. Sci.
Rogelio García-Aguirre, Luis M. Torres-Treviño, Alberto Gonzáles-González
2021 J jnl
Multi-objective optimization of a quadrotor flock performing target zone search.
Swarm Evol. Comput.
Luis A. Márquez-Vega, Mario Aguilera-Ruiz, Luis M. Torres-Treviño
2019 — conf
Clusterized KNN for EEG Channel Selection and Prototyping of Lower Limb Joint Torques.
MICAI
Lucero Alvarado, Griselda Quiroz, Angel Rodríguez-Liñán, Luis M. Torres-Treviño
2019 J jnl
Collective Behaviors in Swarms of Builder Robots.
Res. Comput. Sci.
Erick Ordaz-Rivas, Angel Rodríguez-Liñán, Luis M. Torres-Treviño
2019 J jnl
Collective Tasks for a Flock of Robots Using Influence Factor.
J. Intell. Robotic Syst.
Erick Ordaz-Rivas, Angel Rodríguez-Liñán, Mario Aguilera-Ruiz, Luis M. Torres-Treviño
2018 — conf
Universal Swarm Optimizer for Multi-objective Functions.
MICAI (1)
Luis A. Márquez-Vega, Luis M. Torres-Treviño
2017 J jnl
Let the swarm be: an implicit elitism in swarm intelligence.
Int. J. Bio Inspired Comput.
Luis M. Torres-Treviño
2017 — conf
Smart Selection of Materials for Product Prototype Fabrication.
MICAI (1)
Francisco Torres, Leticia Neira, Luis M. Torres-Treviño
2016 — conf
Collective Motion of a Swarm of Simulated Quadrotors Using Repulsion, Attraction and Orientation Rules.
MICAI (1)
Mario Aguilera-Ruiz, Luis M. Torres-Treviño, Angel Rodríguez-Liñán
2016 — conf
Hybrid BCI approach to control an artificial tibio-femoral joint.
EMBC
Luis Mercado, Angel Rodríguez-Liñán, Luis M. Torres-Treviño, Griselda Quiroz
2016 — conf
Intelligent Sensor for Fault Detection in Glucose Measuring System.
MICAI (Special Session)
Jazmin Martinez-Alvarado, Luis M. Torres-Treviño, Griselda Quiroz
2016 — conf
Mathematical Model of Glucose Metabolism by Symbolic Regression \alpha \beta.
MICAI (2)
Luis M. Torres-Treviño
2016 — conf
Off-line Tuning of a PID Controller Using Type-2 Fuzzy Logic.
MICAI (1)
Heberi R. Tello-Rdz, Luis M. Torres-Treviño, Angel Rodríguez-Liñán
2015 — conf
An Embedded Fuzzy Self-tuning PID Controller for a Temperature Control System of Peltier Cells.
MICAI (1)
Aldebaran A. Alonso-Carreón, Miguel Platas, Luis M. Torres-Treviño
2015 — conf
An Embedded Generation of Fuzzy Rules Implemented in a Remote Car Driving.
MICAI (Special Sessions)
Miguel Angel Tovar Estrada, Griselda Quiroz, Luis M. Torres-Treviño
2015 — conf
Change of Behavior on Swarm Robotics Using Repulsion and Attraction.
MICAI (Special Sessions)
Mario Aguilera-Ruiz, Angel Rodríguez-Liñán, Luis M. Torres-Treviño
2015 — conf
Control by Imitation Using a Maximum Sensibility Neural Network.
MICAI (1)
Erick Ordaz-Rivas, Luis M. Torres-Treviño, Angel Rodríguez-Liñán
2015 — conf
Evolutionary Robot with the Task to Remain Standing.
MICAI (Special Sessions)
Antonio Zalapa-Elias, Angel Rodríguez-Liñán, Luis M. Torres-Treviño
2014 — conf
A mathematical model of a cold rolling mill by symbolic regression alpha-beta.
GECCO (Companion)
Luis A. Alvarado-Yañez, Luis M. Torres-Treviño, F. Gonzalez, L. Nieves
2014 J jnl
A non-linear fuzzy regression for estimating reliability in a degradation process.
Appl. Soft Comput.
David Salvador González-González, Rolando J. Praga-Alejo, Mario Cantú-Sifuentes, Luis M. Torres-Treviño, Gerardo M. Mendez
2014 — conf
Control by Online Learning Using a Maximum Sensibility Neural Network.
MICAI (Special Sessions)
Mario Aguilera-Ruiz, Luis M. Torres-Treviño, Angel Rodríguez-Liñán
2014 — conf
Establishing a Simplified Functional Relationship between EMG Signals and Actuation Signals Using Artificial Neural Networks.
MICAI (Special Sessions)
Raul Almada-Aguilar, Luis M. Torres-Treviño, Griselda Quiroz
2014 — conf
Identification and prediction using symbolic regression alpha-beta: preliminary results.
GECCO (Companion)
Luis M. Torres-Treviño
2014 — conf
Modeling Synthesis Processes of Photocatalysts Using Symbolic Regression α-β.
MICAI (Special Sessions)
Guillermo González-Campos, Luis M. Torres-Treviño, Edith Luévano-Hipólito, Azael Martinez-De La Cruz
2014 — conf
Reconfigurable Logical Cells Using a Maximum Sensibility Neural Network.
MICAI (Special Sessions)
Manuel Ortiz Salazar, Luis M. Torres-Treviño
2013 — conf
An Embedded Fuzzy Agent for Online Tuning of a PID Controller for Position Control of a DC Motor.
MICAI (2)
Luis A. Alvarado-Yañez, Luis M. Torres-Treviño, Angel Rodríguez-Liñán
2013 J jnl
An expert system for setting parameters in machining processes.
Expert Syst. Appl.
Luis M. Torres-Treviño, Indira G. Escamilla-Salazar, Bernardo González-Ortíz, Rolando J. Praga-Alejo
2013 — conf
Control by Learning in a Temperature System Using a Maximum Sensibility Neural Network.
MICAI (Special Sessions)
D. Cabrera-Gaona, Luis M. Torres-Treviño, Angel Rodríguez-Liñán
2013 J jnl
Statistical inference in a redesigned Radial Basis Function neural network.
Eng. Appl. Artif. Intell.
Rolando J. Praga-Alejo, David Salvador González-González, Mario Cantú-Sifuentes, Pedro Pérez-Villanueva, Luis M. Torres-Treviño, Bernardo D. Flores-Hermosillo
2013 J jnl
Use of PSO for Obtaining Solution of the Inverse Robot Dynamic Model.
Res. Comput. Sci.
Carlos Alberto Yahir Hervert Cano, Angel Rodríguez-Liñán, Luis M. Torres-Treviño
2012 J jnl
Analysis and evaluation in a welding process applying a Redesigned Radial Basis Function.
Expert Syst. Appl.
Rolando J. Praga-Alejo, Luis M. Torres-Treviño, David Salvador González-González, Jorge Acevedo-Dávila, Francisco Cepeda-Rodríguez
2012 — conf
Artificial Neural Network for Optimization of a Synthesis Process of γ-Bi2MoO6 Using Surface Response Methodology.
MICAI (2)
Guillermo González-Campos, Edith Luévano-Hipólito, Luis M. Torres-Treviño, Azael Martinez-De La Cruz
2012 — conf
Implementation of a Single Chaotic Neuron Using an Embedded System.
MICAI (2)
Luis González-Estrada, Gustavo Gonzalez Sanmiguel, Luis M. Torres-Treviño, Angel Rodríguez-Liñán
2012 — conf
On-Line Learning in an Embedded Maximum Sensibility Neural Network.
MICAI (Special Sessions)
Gustavo Gonzalez Sanmiguel, Luis Lauro Gonzalez, Luis M. Torres-Treviño, Cesar Guerra
2011 J jnl
Multi-objective optimization of a welding process by the estimation of the Pareto optimal set.
Expert Syst. Appl.
Luis M. Torres-Treviño, Felipe A. Reyes-Valdes, Víctor López, Rolando J. Praga-Alejo
2011 — conf
Symbolic regression using α- β operators and estimation of distribution algorithms: preliminary results.
GECCO (Companion)
Luis M. Torres-Treviño
2010 — conf
A Radial Basis Function Redesigned for Predicting a Welding Process.
MICAI (2)
Rolando J. Praga-Alejo, Luis M. Torres-Treviño, David Salvador González-González, Jorge Acevedo-Dávila, Francisco Cepeda-Rodríguez
2007 J jnl
Chaos in a Single Recurrent Artificial Neuron.
Res. Comput. Sci.
Luis M. Torres-Treviño
2007 J jnl
Comparison Between Genetic Algorithms with Exaptation and Case Injected Genetic Algorithm in Dynamic Job Shop Problems.
Res. Comput. Sci.
Luis M. Torres-Treviño
2007 J jnl
Flexural Strength Prediction of Slabs with Finished Type Tile: A Neural Network Approach.
Res. Comput. Sci.
Jorge Acevedo-Dávila, Luis M. Torres-Treviño
2006 J jnl
A Genetic Algorithm for Reassigning Work on the Assembly Line: A Real Scenario.
Res. Comput. Sci.
Sergio Ramirez-Campos, Luis M. Torres-Treviño, Miguel Gastón Cedillo-Campos, Jorge Villegas-Leza, Pedro Perez-Villanueva
2006 J jnl
Decision Support Systems Intelligent to Predict and Optimize the Assembly Time for New Product Design Using a Fuzzy-Evolutionary Miltimodal Approach.
Res. Comput. Sci.
Pedro Pérez-Villanueva, Luis M. Torres-Treviño, Elías Gabriel Carrum Siller, Sergio C. Ramirez
2006 J jnl
Evonorm: Easy and Effective Implementation of Estimation of Distribution Algorithms.
Res. Comput. Sci.
Luis M. Torres-Treviño