Andrés Espinal

Orcid: 0000-0003-1552-3210

According to our database1, Andrés Espinal authored at least 27 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

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

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

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

Single Spiking Neuron Multi-Objective Optimization for Pattern Classification.
J. Autom. Mob. Robotics Intell. Syst., 2020

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

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
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

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

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

A FPGA-Based Neuromorphic Locomotion System for Multi-Legged Robots.
IEEE Access, 2017

A SpiNNaker Application: Design, Implementation and Validation of SCPGs.
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
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

Comparing Evolutionary Strategy Algorithms for Training Spiking Neural Networks.
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


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