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Publication search results
found 83 matches
- 2024
- Alonso Javier Amado-Garfias, Santiago Enrique Conant-Pablos, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín:
Improving Armed People Detection on Video Surveillance Through Heuristics and Machine Learning Models. IEEE Access 12: 111818-111831 (2024) - Maria Torcoroma Benavides-Robles, Gerardo Humberto Valencia-Rivera, Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss:
Robotic Mobile Fulfillment System: A Systematic Review. IEEE Access 12: 16767-16782 (2024) - Gabriel Gonzalez-Sahagun, Santiago Enrique Conant-Pablos, José Carlos Ortiz-Bayliss, Jorge M. Cruz-Duarte:
A Generalist Reinforcement Learning Agent for Compressing Convolutional Neural Networks. IEEE Access 12: 51100-51114 (2024) - Gabriel Gonzalez-Sahagun, Santiago Enrique Conant-Pablos, José Carlos Ortiz-Bayliss, Jorge M. Cruz-Duarte:
A Generalist Reinforcement Learning Agent for Compressing Multiple Convolutional Networks Using Singular Value Decomposition. IEEE Access 12: 136131-136147 (2024) - Gerardo Humberto Valencia-Rivera, Maria Torcoroma Benavides-Robles, Alonso Vela Morales, Iván Amaya, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Juan Gabriel Aviña-Cervantes:
A systematic review of metaheuristic algorithms in electric power systems optimization. Appl. Soft Comput. 150: 111047 (2024) - Jose M. Tapia-Avitia, Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Nelishia Pillay:
Analysing hyper-heuristics based on Neural Networks for the automatic design of population-based metaheuristics in continuous optimisation problems. Swarm Evol. Comput. 89: 101616 (2024) - Guillermo Pérez-Espinosa, Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Nelishia Pillay:
Tailoring Metaheuristics for Designing Thermodynamic-Optimal Cooling Devices for Microelectronic Thermal Management Applications. CEC 2024: 1-8 - Daniel F. Zambrano-Gutierrez, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Iván Amaya, Juan Gabriel Aviña-Cervantes:
Beyond Traditional Tuning: Unveiling Metaheuristic Operator Trends in PID Control Tuning for Automatic Voltage Regulation. CEC 2024: 1-8 - José Carlos Ortiz-Bayliss, Anna Karen Gárate-Escamilla, Hugo Terashima-Marín:
Missing Data and Their Effect on Algorithm Selection for the Bin Packing Problem. MCPR 2024: 34-43 - José Eduardo Zárate-Aranda, José Carlos Ortiz-Bayliss:
An Exploratory Study on Machine-Learning-Based Hyper-heuristics for the Knapsack Problem. MCPR 2024: 119-128 - 2023
- Daniel F. Zambrano-Gutierrez, Jorge Mario Cruz-Duarte, Juan Gabriel Aviña-Cervantes, José Carlos Ortiz-Bayliss, Jesus J. Yanez-Borjas, Iván Amaya:
Automatic Design of Metaheuristics for Practical Engineering Applications. IEEE Access 11: 7262-7276 (2023) - Gerardo Humberto Valencia-Rivera, José Carlos Ortiz-Bayliss, Jorge M. Cruz-Duarte, Iván Amaya, Juan Gabriel Aviña-Cervantes:
Hyper-Heuristics Meet Controller Design: Improving Electrical Grid Performance through Microgrids. CEC 2023: 1-8 - Alonso Vela, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Iván Amaya:
Recursive Hyper-Heuristics for the Job Shop Scheduling Problem. CEC 2023: 1-8 - Maria Torcoroma Benavides-Robles, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Iván Amaya:
On the Feasibility of Using a High-Level Solver within Robotic Mobile Fulfillment Systems. SSCI 2023: 1274-1279 - Daniel F. Zambrano-Gutierrez, Alberto C. Molina-Porras, Emmanuel Ovalle-Magallanes, Iván Amaya, José Carlos Ortiz-Bayliss, Juan Gabriel Aviña-Cervantes, Jorge M. Cruz-Duarte:
SIGNRL: A Population-Based Reinforcement Learning Method for Continuous Control. SSCI 2023: 1443-1448 - 2022
- Kevin B. Kwan-Loo, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Peyman Najafirad:
Detection of Violent Behavior Using Neural Networks and Pose Estimation. IEEE Access 10: 86339-86352 (2022) - Alonso Vela, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Iván Amaya:
Beyond Hyper-Heuristics: A Squared Hyper-Heuristic Model for Solving Job Shop Scheduling Problems. IEEE Access 10: 43981-44007 (2022) - Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Iván Amaya:
MatHH: A Matlab-based Hyper-Heuristic framework. SoftwareX 18: 101047 (2022) - Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Nelishia Pillay:
A Transfer Learning Hyper-heuristic Approach for Automatic Tailoring of Unfolded Population-based Metaheuristics. CEC 2022: 1-8 - Jose M. Tapia-Avitia, Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Nelishia Pillay:
A Primary Study on Hyper-Heuristics Powered by Artificial Neural Networks for Customising Population-based Metaheuristics in Continuous Optimisation Problems. CEC 2022: 1-8 - Roberto García-Torres, Alitzel Adriana Macias-Infante, Santiago Enrique Conant-Pablos, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín:
Combining Constructive and Perturbative Deep Learning Algorithms for the Capacitated Vehicle Routing Problem. CoRR abs/2211.13922 (2022) - 2021
- Melissa Sánchez, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Iván Amaya:
Sequence-Based Selection Hyper-Heuristic Model via MAP-Elites. IEEE Access 9: 116500-116527 (2021) - Alonso Vela, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Iván Amaya:
Tailoring Job Shop Scheduling Problem Instances Through Unified Particle Swarm Optimization. IEEE Access 9: 66891-66914 (2021) - Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Rodrigo Correa:
Solving microelectronic thermal management problems using a generalized spiral optimization algorithm. Appl. Intell. 51(8): 5622-5643 (2021) - Frumen Olivas, Iván Amaya, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín:
Enhancing Hyperheuristics for the Knapsack Problem through Fuzzy Logic. Comput. Intell. Neurosci. 2021: 8834324:1-8834324:17 (2021) - Guillermo A. Martínez-Mascorro, José R. Abreu-Pederzini, José Carlos Ortiz-Bayliss, Angel Garcia-Collantes, Hugo Terashima-Marín:
Criminal Intention Detection at Early Stages of Shoplifting Cases by Using 3D Convolutional Neural Networks. Comput. 9(2): 24 (2021) - Felipe de la Rosa-Rivera, José I. Nuñez-Varela, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín:
Algorithm selection for solving educational timetabling problems. Expert Syst. Appl. 174: 114694 (2021) - Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Yong Shi:
Hyper-Heuristics to customise metaheuristics for continuous optimisation. Swarm Evol. Comput. 66: 100935 (2021) - Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Nelishia Pillay:
Automated Design of Unfolded Metaheuristics and the Effect of Population Size. CEC 2021: 1155-1162 - Jesús Andrés Portillo-Quintero, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín:
A Straightforward Framework for Video Retrieval Using CLIP. MCPR 2021: 3-12
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