Marco Aurelio Sotelo-Figueroa
Orcid: 0000-0002-9795-0138
According to our database1,
Marco Aurelio Sotelo-Figueroa
authored at least 38 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 Directions on Hybrid Intelligent Systems Based on Neural Networks, 2024
Proceedings of the New Directions on Hybrid Intelligent Systems Based on Neural Networks, 2024
Proceedings of the New Directions on Hybrid Intelligent Systems Based on Neural Networks, 2024
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
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
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
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
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
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015
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
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
Proceedings of the Advances in Soft Computing, 2011
2010
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