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2020 – today
- 2026
[j31]Erick Ordaz-Rivas, Juan Angel Rodríguez-Liñán
, Luis M. Torres-Treviño:
Multi-objective optimization in autonomous foraging using swarm robots. Swarm Evol. Comput. 101: 102294 (2026)- 2025
- [j30]Rogelio García-Aguirre, Eva María Navarro-López, Luis Martín Torres-Treviño:
Gen-CNN: a framework for the automatic generation of CNNs for image classification. Neural Comput. Appl. 37(1): 149-168 (2025) - [j29]Luis M. Torres-Treviño, Alejandro Isabel Luna-Maldonado, Erik Ricardo Palacios-Garza, Erick Ordaz-Rivas:
Environmental Assessment in Pear Cactus Cultivation Using IoT + edge AI. Res. Comput. Sci. 154(6): 57-64 (2025) - [c30]Edgar Díaz Cristóbal, Erick de Jesús Ordaz Rivas, Luis Martín Torres-Treviño:
Artificial Vision-Guided Hexapod Robot for Autonomous Navigation and Object Localization. MICAI (2)" 2025: 396-407 - 2024
- [j28]Berenice Cotri-Melecez, Griselda Quiroz-Compeán, Luis M. Torres-Treviño, Angel Rodríguez-Liñán, Iliana Quintero Raygoza, Oscar Salas Fraire:
Making Medical Prescription Automatic: The Case of Prescribing Therapies in Ankle Fracture Rehabilitation by Means of a Computer-Aided System. IEEE Access 12: 97171-97183 (2024) - [j27]Luis M. Torres-Treviño, Indira G. Escamilla-Salazar, Bernardo González-Ortíz:
On developing a green and intelligent manufacturing system. Expert Syst. Appl. 243: 122876 (2024) - [j26]Erick Ordaz-Rivas, Luis M. Torres-Treviño:
Improving performance in swarm robots using multi-objective optimization. Math. Comput. Simul. 223: 433-457 (2024) - 2023
- [j25]Claudia Patricia Flores-Gutiérrez, Griselda Quiroz-Compeán, Octavio I. Renteria-Vidales, Luis M. Torres-Treviño, Eduardo Ruiz-Velázquez, Ricardo Femat:
System identification for T1D via artificial intelligence algorithms: Evolutionary or swarm. Biomed. Signal Process. Control. 85: 105077 (2023) - [j24]Rogelio García-Aguirre, Luis M. Torres-Treviño, Griselda Quiroz-Compeán, Angel Rodríguez-Liñán:
Development of a muscle electrical stimulation parameter selection method with an intelligent system. Eng. Appl. Artif. Intell. 121: 106167 (2023) - [j23]Gerardo Adrián De La Rosa-Hernández, Griselda Quiroz-Compeán, Juan Angel Rodríguez-Liñán, Luis Martín Torres-Treviño:
Tuning Control Law Gains in an Exoskeleton through Swarm Intelligence. Res. Comput. Sci. 152(11): 31-43 (2023) - [c29]Erik Ricardo Palacios-Garza, Luis M. Torres-Treviño:
NATLOC: Natural Language Object Localization. MICAI (2) 2023: 239-250 - 2022
- [c28]Erick Ordaz-Rivas, Luis M. Torres-Treviño:
Modeling and Simulation of Swarm of Foraging Robots for Collecting Resources Using RAOI Behavior Policies. MICAI (2) 2022: 266-278 - [c27]Rogelio García-Aguirre, Luis M. Torres-Treviño, Eva María Navarro-López, José Alberto González-González:
Towards an Interpretable Model for Automatic Classification of Endoscopy Images. MICAI (1) 2022: 297-307 - 2021
- [j22]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:
An Approach to Acquire Path-Following Skills by Industrial Robots From Human Demonstration. IEEE Access 9: 82351-82363 (2021) - [j21]Erick Ordaz-Rivas, Angel Rodríguez-Liñán, Luis M. Torres-Treviño:
Autonomous foraging with a pack of robots based on repulsion, attraction and influence. Auton. Robots 45(6): 919-935 (2021) - [j20]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:
Decoding the torque of lower limb joints from EEG recordings of pre-gait movements using a machine learning scheme. Neurocomputing 446: 118-129 (2021) - [j19]Erick Ordaz-Rivas, Angel Rodríguez-Liñán, Luis M. Torres-Treviño:
Flock of Robots with Self-Cooperation for Prey-Predator Task. J. Intell. Robotic Syst. 101(2): 39 (2021) - [j18]Erik Ricardo Palacios-Garza, Luis Martín Torres-Treviño:
Sistema de percepción no centralizado para enjambres de robots RAOI basado en aprendizaje profundo. Res. Comput. Sci. 150(6): 265-278 (2021) - [j17]Rogelio García-Aguirre, Luis M. Torres-Treviño, Alberto Gonzáles-González:
Hyperparameter Optimization for Transfer Learning in Gastrointestinal Image Classification Using an Evolutionary Algorithm: Proof of Concept. Res. Comput. Sci. 150(9): 17-28 (2021) - [j16]Luis A. Márquez-Vega, Mario Aguilera-Ruiz, Luis M. Torres-Treviño:
Multi-objective optimization of a quadrotor flock performing target zone search. Swarm Evol. Comput. 60: 100733 (2021) - [i1]Luis M. Torres-Treviño:
A 2020 taxonomy of algorithms inspired on living beings behavior. CoRR abs/2106.04775 (2021)
2010 – 2019
- 2019
- [j15]Erick Ordaz-Rivas, Angel Rodríguez-Liñán, Mario Aguilera-Ruiz, Luis M. Torres-Treviño:
Collective Tasks for a Flock of Robots Using Influence Factor. J. Intell. Robotic Syst. 94(2): 439-453 (2019) - [j14]Erick Ordaz-Rivas, Angel Rodríguez-Liñán, Luis M. Torres-Treviño:
Collective Behaviors in Swarms of Builder Robots. Res. Comput. Sci. 148(11): 103-114 (2019) - [c26]Lucero Alvarado, Griselda Quiroz, Angel Rodríguez-Liñán, Luis M. Torres-Treviño:
Clusterized KNN for EEG Channel Selection and Prototyping of Lower Limb Joint Torques. MICAI 2019: 622-632 - 2018
- [c25]Luis A. Márquez-Vega, Luis M. Torres-Treviño:
Universal Swarm Optimizer for Multi-objective Functions. MICAI (1) 2018: 50-61 - 2017
- [j13]Luis M. Torres-Treviño:
Let the swarm be: an implicit elitism in swarm intelligence. Int. J. Bio Inspired Comput. 9(2): 65-76 (2017) - [c24]Francisco Torres, Leticia Neira, Luis M. Torres-Treviño:
Smart Selection of Materials for Product Prototype Fabrication. MICAI (1) 2017: 236-242 - 2016
- [c23]Luis Mercado, Angel Rodríguez-Liñán, Luis M. Torres-Treviño, Griselda Quiroz:
Hybrid BCI approach to control an artificial tibio-femoral joint. EMBC 2016: 2760-2763 - [c22]Jazmin Martinez-Alvarado, Luis M. Torres-Treviño, Griselda Quiroz:
Intelligent Sensor for Fault Detection in Glucose Measuring System. MICAI (Special Session) 2016: 152-157 - [c21]Luis M. Torres-Treviño:
Mathematical Model of Glucose Metabolism by Symbolic Regression \alpha \beta. MICAI (2) 2016: 185-190 - [c20]Heberi R. Tello-Rdz, Luis M. Torres-Treviño, Angel Rodríguez-Liñán:
Off-line Tuning of a PID Controller Using Type-2 Fuzzy Logic. MICAI (1) 2016: 261-269 - [c19]Mario Aguilera-Ruiz, Luis M. Torres-Treviño, Angel Rodríguez-Liñán:
Collective Motion of a Swarm of Simulated Quadrotors Using Repulsion, Attraction and Orientation Rules. MICAI (1) 2016: 512-521 - 2015
- [c18]Antonio Zalapa-Elias, Angel Rodríguez-Liñán, Luis M. Torres-Treviño:
Evolutionary Robot with the Task to Remain Standing. MICAI (Special Sessions) 2015: 165-168 - [c17]Mario Aguilera-Ruiz, Angel Rodríguez-Liñán, Luis M. Torres-Treviño:
Change of Behavior on Swarm Robotics Using Repulsion and Attraction. MICAI (Special Sessions) 2015: 169-172 - [c16]Miguel Angel Tovar Estrada, Griselda Quiroz, Luis M. Torres-Treviño:
An Embedded Generation of Fuzzy Rules Implemented in a Remote Car Driving. MICAI (Special Sessions) 2015: 208-214 - [c15]Erick Ordaz-Rivas, Luis M. Torres-Treviño, Angel Rodríguez-Liñán:
Control by Imitation Using a Maximum Sensibility Neural Network. MICAI (1) 2015: 306-315 - [c14]Aldebaran A. Alonso-Carreón, Miguel Platas, Luis M. Torres-Treviño:
An Embedded Fuzzy Self-tuning PID Controller for a Temperature Control System of Peltier Cells. MICAI (1) 2015: 443-451 - 2014
- [j12]David Salvador González-González, Rolando J. Praga-Alejo, Mario Cantú-Sifuentes, Luis M. Torres-Treviño, Gerardo M. Mendez:
A non-linear fuzzy regression for estimating reliability in a degradation process. Appl. Soft Comput. 16: 137-147 (2014) - [c13]Luis A. Alvarado-Yañez, Luis M. Torres-Treviño, F. Gonzalez, L. Nieves:
A mathematical model of a cold rolling mill by symbolic regression alpha-beta. GECCO (Companion) 2014: 1347-1352 - [c12]Luis M. Torres-Treviño:
Identification and prediction using symbolic regression alpha-beta: preliminary results. GECCO (Companion) 2014: 1367-1372 - [c11]Manuel Ortiz Salazar, Luis M. Torres-Treviño:
Reconfigurable Logical Cells Using a Maximum Sensibility Neural Network. MICAI (Special Sessions) 2014: 112-117 - [c10]Mario Aguilera-Ruiz, Luis M. Torres-Treviño, Angel Rodríguez-Liñán:
Control by Online Learning Using a Maximum Sensibility Neural Network. MICAI (Special Sessions) 2014: 118-120 - [c9]Raul Almada-Aguilar, Luis M. Torres-Treviño, Griselda Quiroz:
Establishing a Simplified Functional Relationship between EMG Signals and Actuation Signals Using Artificial Neural Networks. MICAI (Special Sessions) 2014: 128-132 - [c8]Guillermo González-Campos, Luis M. Torres-Treviño, Edith Luévano-Hipólito, Azael Martinez-De La Cruz:
Modeling Synthesis Processes of Photocatalysts Using Symbolic Regression α-β. MICAI (Special Sessions) 2014: 174-179 - 2013
- [j11]Rolando J. Praga-Alejo, David Salvador González-González, Mario Cantú-Sifuentes, Pedro Pérez-Villanueva, Luis M. Torres-Treviño, Bernardo D. Flores-Hermosillo:
Statistical inference in a redesigned Radial Basis Function neural network. Eng. Appl. Artif. Intell. 26(8): 1881-1891 (2013) - [j10]Luis M. Torres-Treviño, Indira G. Escamilla-Salazar, Bernardo González-Ortíz, Rolando J. Praga-Alejo:
An expert system for setting parameters in machining processes. Expert Syst. Appl. 40(17): 6877-6884 (2013) - [j9]Carlos Alberto Yahir Hervert Cano, Angel Rodríguez-Liñán, Luis M. Torres-Treviño:
Use of PSO for Obtaining Solution of the Inverse Robot Dynamic Model. Res. Comput. Sci. 68: 33-44 (2013) - [c7]D. Cabrera-Gaona, Luis M. Torres-Treviño, Angel Rodríguez-Liñán:
Control by Learning in a Temperature System Using a Maximum Sensibility Neural Network. MICAI (Special Sessions) 2013: 109-113 - [c6]Luis A. Alvarado-Yañez, Luis M. Torres-Treviño, Angel Rodríguez-Liñán:
An Embedded Fuzzy Agent for Online Tuning of a PID Controller for Position Control of a DC Motor. MICAI (2) 2013: 225-232 - 2012
- [j8]Rolando J. Praga-Alejo, Luis M. Torres-Treviño, David Salvador González-González, Jorge Acevedo-Dávila, Francisco Cepeda-Rodríguez:
Analysis and evaluation in a welding process applying a Redesigned Radial Basis Function. Expert Syst. Appl. 39(10): 9669-9675 (2012) - [c5]Gustavo Gonzalez Sanmiguel, Luis Lauro Gonzalez, Luis M. Torres-Treviño, Cesar Guerra:
On-Line Learning in an Embedded Maximum Sensibility Neural Network. MICAI (Special Sessions) 2012: 75-79 - [c4]Guillermo González-Campos, Edith Luévano-Hipólito, Luis M. Torres-Treviño, Azael Martinez-De La Cruz:
Artificial Neural Network for Optimization of a Synthesis Process of γ-Bi2MoO6 Using Surface Response Methodology. MICAI (2) 2012: 200-210 - [c3]Luis González-Estrada, Gustavo Gonzalez Sanmiguel, Luis M. Torres-Treviño, Angel Rodríguez-Liñán:
Implementation of a Single Chaotic Neuron Using an Embedded System. MICAI (2) 2012: 283-291 - 2011
- [j7]Luis M. Torres-Treviño, Felipe A. Reyes-Valdes, Víctor López, Rolando J. Praga-Alejo:
Multi-objective optimization of a welding process by the estimation of the Pareto optimal set. Expert Syst. Appl. 38(7): 8045-8053 (2011) - [c2]Luis M. Torres-Treviño:
Symbolic regression using α- β operators and estimation of distribution algorithms: preliminary results. GECCO (Companion) 2011: 647-654 - 2010
- [c1]Rolando J. Praga-Alejo, Luis M. Torres-Treviño, David Salvador González-González, Jorge Acevedo-Dávila, Francisco Cepeda-Rodríguez:
A Radial Basis Function Redesigned for Predicting a Welding Process. MICAI (2) 2010: 257-268
2000 – 2009
- 2007
- [j6]Luis M. Torres-Treviño:
Chaos in a Single Recurrent Artificial Neuron. Res. Comput. Sci. 28: 49-58 (2007) - [j5]Jorge Acevedo-Dávila, Luis M. Torres-Treviño:
Flexural Strength Prediction of Slabs with Finished Type Tile: A Neural Network Approach. Res. Comput. Sci. 32: 38-44 (2007) - [j4]Luis M. Torres-Treviño:
Comparison Between Genetic Algorithms with Exaptation and Case Injected Genetic Algorithm in Dynamic Job Shop Problems. Res. Comput. Sci. 32: 249-257 (2007) - 2006
- [j3]Sergio Ramirez-Campos, Luis M. Torres-Treviño, Miguel Gastón Cedillo-Campos, Jorge Villegas-Leza, Pedro Perez-Villanueva:
A Genetic Algorithm for Reassigning Work on the Assembly Line: A Real Scenario. Res. Comput. Sci. 23: 17-30 (2006) - [j2]Pedro Pérez-Villanueva, Luis M. Torres-Treviño, Elías Gabriel Carrum Siller, Sergio C. Ramirez:
Decision Support Systems Intelligent to Predict and Optimize the Assembly Time for New Product Design Using a Fuzzy-Evolutionary Miltimodal Approach. Res. Comput. Sci. 23: 41-52 (2006) - [j1]Luis M. Torres-Treviño:
Evonorm: Easy and Effective Implementation of Estimation of Distribution Algorithms. Res. Comput. Sci. 23: 75-86 (2006)
Coauthor Index
aka: Erick de Jesús Ordaz Rivas
aka: Angel Rodríguez-Liñán
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