Andrés Espinal
Orcid: 0000-0003-1552-3210
According to our database1,
Andrés Espinal
authored at least 31 papers
between 2014 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
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
Comparative Analysis of Dimensionality Reduction Techniques Applied to Disease Classification Tasks.
Proceedings of the New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics, 2024
Computación y Sistemas (CyS), 2024
2021
Biologically-Inspired Legged Robot Locomotion Controlled With a BCI by Means of Cognitive Monitoring.
IEEE Access, 2021
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
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
J. Autom. Mob. Robotics Intell. Syst., 2020
A Methodology for Classifying Search Operators as Intensification or Diversification Heuristics.
Complex., 2020
2019
Comput. Intell. Neurosci., 2019
Symmetric-Approximation Energy-Based Estimation of Distribution (SEED): A Continuous Optimization Algorithm.
IEEE Access, 2019
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
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
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
Evolvability Metric Estimation by a Parallel Perceptron for On-Line Selection Hyper-Heuristics.
IEEE Access, 2017
IEEE Access, 2017
Proceedings of the Advances in Computational Intelligence, 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
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015
Res. Comput. Sci., 2015
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