Marco Aurelio Sotelo-Figueroa

Orcid: 0000-0002-9795-0138

According to our database1, Marco Aurelio Sotelo-Figueroa authored at least 42 papers between 2010 and 2024.

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Bibliography

2024
Hypervolume Indicator as an Estimator for Adaptive Operator Selection in an On-Line Multi-objective Hyper-heuristic.
Proceedings of the New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics, 2024

Hypervolume Indicator as an Estimator for Adaptive Operator Selection in an On-Line Multi-objective Hyper-heuristic.
Proceedings of the New Directions on Hybrid Intelligent Systems Based on Neural Networks, 2024

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

Evolutionary Deployment of Central Pattern Generators for Legged Robots Using Nengo.
Proceedings of the New Directions on Hybrid Intelligent Systems Based on Neural Networks, 2024

Comparative Analysis of Dimensionality Reduction Techniques Applied to Disease Classification Tasks.
Proceedings of the New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics, 2024

Grammatical Evolution with Codons Selection Order as Intensification Process.
Computación y Sistemas (CyS), 2024

2023
Estudio del uso de GAN para el balanceo de datos en el conjunto BreakHis y los efectos en la clasificación de tumores de mama.
Res. Comput. Sci., 2023

2021
A novel model for optimization of Intelligent Multi-User Visual Comfort System based on soft-computing algorithms.
J. Ambient Intell. Smart Environ., 2021

2020
Studying Grammatical Evolution's Mapping Processes for Symbolic Regression Problems.
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020

Comparative Analysis of Multi-objective Metaheuristic Algorithms by Means of Performance Metrics to Continuous Problems.
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020

Direct and Indirect Evolutionary Designs of Artificial Neural Networks.
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020

Exploring Random Permutations Effects on the Mapping Process for Grammatical Evolution.
J. Autom. Mob. Robotics Intell. Syst., 2020

Application of Agglomerative and Partitional Algorithms for the Study of the Phenomenon of the Collaborative Economy Within the Tourism Industry.
J. Autom. Mob. Robotics Intell. Syst., 2020

A Methodology for Classifying Search Operators as Intensification or Diversification Heuristics.
Complex., 2020

2018
Symbolic Regression by Means of Grammatical Evolution with Estimation Distribution Algorithms as Search Engine.
Proceedings of the Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications, 2018

Statistical Comparative Between Selection Rules for Adaptive Operator Selection in Vehicle Routing and Multi-knapsack Problems.
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

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

Differential Evolution with Self-adaptive Gaussian Perturbation.
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

Gramática evolutiva con estrategia evolutiva como núcleo de una hiperheurística de generación aplicada al problema de empacado.
Res. Comput. Sci., 2017

A methodology for determining an effective subset of heuristics in selection hyper-heuristics.
Eur. J. Oper. Res., 2017

Evolvability Metric Estimation by a Parallel Perceptron for On-Line Selection Hyper-Heuristics.
IEEE Access, 2017

2016
Design of Spiking Central Pattern Generators for Multiple Locomotion Gaits in Hexapod Robots by Christiansen Grammar Evolution.
Frontiers Neurorobotics, 2016

Quadrupedal Robot Locomotion: A Biologically Inspired Approach and Its Hardware Implementation.
Comput. Intell. Neurosci., 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

Evolutionary Indirect Design of Feed-Forward Spiking Neural Networks.
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015

Evolución diferencial con perturbaciones Gaussianas.
Res. Comput. Sci., 2015

2014
Generic Memetic Algorithm for Course Timetabling ITC2007.
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

Developing Architectures of Spiking Neural Networks by Using Grammatical Evolution Based on Evolutionary Strategy.
Proceedings of the Pattern Recognition - 6th Mexican Conference, 2014

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

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

2012
A Comparison between Metaheuristics as Strategies for Minimizing Cyclic Instability in Ambient Intelligence.
Sensors, 2012

A Comparative Study of Intelligent Bio-inspired Algorithms Applied to Minimizing Cyclic Instability in Intelligent Environments.
Proceedings of the Workshop Proceedings of the 8th International Conference on Intelligent Environments, 2012

2011
Comparative Study of BSO and GA for the Optimizing Energy in Ambient Intelligence.
Proceedings of the Advances in Soft Computing, 2011

2010
Application of the Bee Swarm Optimization BSO to the Knapsack Problem.
Proceedings of the Soft Computing for Recognition Based on Biometrics, 2010

A Comparation between Bee Swarm Optimization and Greedy Algorithm for the Knapsack Problem with Bee Reallocation.
Proceedings of the 9th Mexican International Conference on Artificial Intelligence, 2010


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