Héctor José Puga Soberanes
Orcid: 0000-0002-1315-1436
According to our database1,
Héctor José Puga Soberanes
authored at least 72 papers
between 2010 and 2024.
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Bibliography
2024
Proceedings of the New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics, 2024
Proceedings of the New Directions on Hybrid Intelligent Systems Based on Neural Networks, 2024
Novel Dynamic Decomposition-Based Multi-objective Evolutionary Algorithm Using Reinforcement Learning Adaptive Operator Selection (DMOEA/D-SL).
Computación y Sistemas (CyS), 2024
Learnable Gabor Filters in CNNs: Avoiding Filter Degeneration via Early Stopping Based on Similarity Metrics.
Proceedings of the Pattern Recognition - 16th Mexican Conference, 2024
2023
GRASP/Δ: An efficient algorithm for the multi-objective portfolio optimization problem.
Expert Syst. Appl., 2023
2022
Optimización de hiperparámetros de una red Long Short Term Memory para pronósticos financieros.
Res. Comput. Sci., 2022
J. Ambient Intell. Smart Environ., 2022
Int. J. Comb. Optim. Probl. Informatics, 2022
2021
A novel model for optimization of Intelligent Multi-User Visual Comfort System based on soft-computing algorithms.
J. Ambient Intell. Smart Environ., 2021
A Methodology to Determine the Subset of Heuristics for Hyperheuristics through Metalearning for Solving Graph Coloring and Capacitated Vehicle Routing Problems.
Complex., 2021
Fuzzy-Regulated Assistant based on Mental Engagement: A Multi-Agent Approach to Elderly Care.
Proceedings of the 17th International Conference on Intelligent Environments, 2021
2020
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020
Comparing Evolutionary Artificial Neural Networks from Second and Third Generations for Solving Supervised Classification Problems.
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020
Res. Comput. Sci., 2020
J. Autom. Mob. Robotics Intell. Syst., 2020
A Novel Set of Moment Invariants for Pattern Recognition Applications Based on Jacobi Polynomials.
Proceedings of the Pattern Recognition - 12th Mexican Conference, 2020
Proceedings of the Intelligent Environments 2020, 2020
2019
Algoritmo de evolución diferencial con reparador cromosómico aplicado a un problema de secuenciación de vehículos.
Res. Comput. Sci., 2019
Entrenamiento dinámico de redes convolucionales profundas para clasificación de imágenes.
Res. Comput. Sci., 2019
Parameter optimization for the smoothed-particle hydrodynamics method by means of evolutionary metaheuristics.
Comput. Phys. Commun., 2019
Comput. Intell. Neurosci., 2019
Symmetric-Approximation Energy-Based Estimation of Distribution (SEED): A Continuous Optimization Algorithm.
IEEE Access, 2019
2018
A Methodology for Optimization of Visual Comfort of Multi-User Intelligent Systems Based on Genetic Algorithms.
Proceedings of the Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications, 2018
Partially-Connected Artificial Neural Networks Developed by Grammatical Evolution for Pattern Recognition Problems.
Proceedings of the Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications, 2018
Bio-inspired Metaheuristics for Hyper-parameter Tuning of Support Vector Machine Classifiers.
Proceedings of the Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications, 2018
Proceedings of the Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications, 2018
Optimization of the Parameters of Smoothed Particle Hydrodynamics Method, Using Evolutionary Algorithms.
Proceedings of the Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications, 2018
Una comparativa de diferentes parámetros en la construcción evolutiva de descriptores para la clasifcacióncación de imágenes de texturas de piezas arqueológicas.
Res. Comput. Sci., 2018
Aprendizaje profundo de representaciones robustas para clasificación multi-instancia y multi-etiqueta de imágenes.
Res. Comput. Sci., 2018
A novel formulation of orthogonal polynomial kernel functions for SVM classifiers: The Gegenbauer family.
Pattern Recognit., 2018
Optimal Hyper-Parameter Tuning of SVM Classifiers With Application to Medical Diagnosis.
IEEE Access, 2018
IEEE Access, 2018
2017
Generating Bin Packing Heuristic Through Grammatical Evolution Based on Bee Swarm Optimization.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017
Iterated VND Versus Hyper-heuristics: Effective and General Approaches to Course Timetabling.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017
Comparison of Optimization Techniques for Modular Neural Networks Applied to Human Recognition.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017
Hyper-Parameter Tuning for Support Vector Machines by Estimation of Distribution Algorithms.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017
Increase Methodology of Design of Course Timetabling Problem for Students, Classrooms, and Teachers.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017
Comparing Grammatical Evolution's Mapping Processes on Feature Generation for Pattern Recognition Problems.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017
Gramática evolutiva con estrategia evolutiva como núcleo de una hiperheurística de generación aplicada al problema de empacado.
Res. Comput. Sci., 2017
2016
Quadrupedal Robot Locomotion: A Biologically Inspired Approach and Its Hardware Implementation.
Comput. Intell. Neurosci., 2016
A firefly algorithm for modular granular neural networks optimization applied to iris recognition.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
Clustering Bin Packing Instances for Generating a Minimal Set of Heuristics by Using Grammatical Evolution.
Proceedings of the Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics, 2015
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015
An Efficient Representation Scheme of Candidate Solutions for the Master Bay Planning Problem.
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015
Monitoreo de emociones aplicadas a terapias basadas en juegos y lógica difusa para adultos mayores.
Res. Comput. Sci., 2015
Res. Comput. Sci., 2015
Comparativa de algoritmos bioinspirados aplicados al problema de calendarización de horarios.
Res. Comput. Sci., 2015
Int. J. Comb. Optim. Probl. Informatics, 2015
A heterogeneous cellular processing algorithm for minimizing the power consumption in wireless communications systems.
Comput. Optim. Appl., 2015
2014
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014
Comparing Metaheuristic Algorithms on the Training Process of Spiking Neural Networks.
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014
Eur. J. Oper. Res., 2014
Proceedings of the Nature-Inspired Computation and Machine Learning, 2014
Developing Architectures of Spiking Neural Networks by Using Grammatical Evolution Based on Evolutionary Strategy.
Proceedings of the Pattern Recognition - 6th Mexican Conference, 2014
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
2013
Proceedings of the Soft Computing Applications in Optimization, Control, and Recognition, 2013
Methodology of Design: A Novel Generic Approach Applied to the Course Timetabling Problem.
Proceedings of the Soft Computing Applications in Optimization, Control, and Recognition, 2013
Proceedings of the Recent Advances on Hybrid Intelligent Systems, 2013
Evolving Bin Packing Heuristic Using Micro-Differential Evolution with Indirect Representation.
Proceedings of the Recent Advances on Hybrid Intelligent Systems, 2013
Comparison of Metaheuristic Algorithms with a Methodology of Design for the Evaluation of Hard Constraints over the Course Timetabling Problem.
Proceedings of the Recent Advances on Hybrid Intelligent Systems, 2013
Evolving and reusing Bin Packing heuristic through Grammatical Differential Evolution.
Proceedings of the Fifth World Congress on Nature and Biologically Inspired Computing, 2013
Homogeneous Population Solving the Minimal Perturbation Problem in Dynamic Scheduling of Surgeries.
Proceedings of the Advances in Artificial Intelligence and Its Applications, 2013
An Ant Colony Algorithm for Improving Ship Stability in the Containership Stowage Problem.
Proceedings of the Advances in Soft Computing and Its Applications, 2013
2012
Proceedings of the Workshop Proceedings of the 8th International Conference on Intelligent Environments, 2012
2011
Iterated Local Search Algorithm for the Linear Ordering Problem with Cumulative Costs (LOPCC).
Proceedings of the Soft Computing for Intelligent Control and Mobile Robotics, 2011
2010
Proceedings of the Soft Computing for Recognition Based on Biometrics, 2010
Improving Iterated Local Search Solution for the Linear Ordering Problem with Cumulative Costs (LOPCC).
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2010