Héctor José Puga Soberanes

Orcid: 0000-0002-1315-1436

According to our database1, Héctor José Puga Soberanes authored at least 69 papers between 2010 and 2024.

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Bibliography

2024
Intensification Process Applied to Codon Selection in Grammatical Evolution.
Proceedings of the New Directions on Hybrid Intelligent Systems Based on Neural Networks, 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

Fuzzy multi-agent assistance system for elderly care based on user engagement.
J. Ambient Intell. Smart Environ., 2022

A Wizard for creating semantic views in a natural language interface to databases.
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
Combinatorial Designs on Constraint Satisfaction Problem (VRP).
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

Gegenbauer-Based Image Descriptors for Visual Scene Recognition.
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020

Development of a Virtual View for Processing Complex Natural Language Queries.
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020

CAD of Breast Cancer: A Decade-Long Review of Techniques for Mammography Analysis.
Res. Comput. Sci., 2020

Single Spiking Neuron Multi-Objective Optimization for Pattern Classification.
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

Designing a Multiagent System for Elderly Care.
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

Evolutionary Spiking Neural Networks for Solving Supervised Classification Problems.
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

A Comparison of Image Texture Descriptors for Pattern Classification.
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

Evolutionary Design of Problem-Adapted Image Descriptors for Texture Classification.
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

Parallel Meta-heuristic Approaches to the Course Timetabling Problem.
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015

Evolution of Kernels for Support Vector Machine Classification on Large Datasets.
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

Evolutionary Indirect Design of Feed-Forward Spiking Neural Networks.
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

Comparing Evolutionary Strategy Algorithms for Training Spiking Neural Networks.
Res. Comput. Sci., 2015

Comparativa de algoritmos bioinspirados aplicados al problema de calendarización de horarios.
Res. Comput. Sci., 2015

Lower and Upper Bounds for the Master Bay Planning Problem.
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
Generic Memetic Algorithm for Course Timetabling ITC2007.
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014

A Loading Procedure for the Containership Stowage Problem.
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

Effective learning hyper-heuristics for the course timetabling problem.
Eur. J. Oper. Res., 2014

Multiple Kernel Support Vector Machine Problem Is NP-Complete.
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

Evolvability metrics in adaptive operator selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Cellular Processing Algorithms.
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

Experimental Study of a New Algorithm-Design-Framework Based on Cellular Computing.
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
Structured Light and Shape Descriptors for Automatic 3D Object Classification.
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
Variable Length Number Chains Generation without Repetitions.
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


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