28 citations · 91 across the 19 of their papers we have counts for
5 papers · 1 filter
Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification
Roberto Santana, Ivan Hidalgo-Cenalmor, Unai Garciarena +2
In some machine learning applications the availability of labeled instances for supervised classification is limited while unlabeled instances are abundant. Semi-supervised learnin…
Redefining Neural Architecture Search of Heterogeneous Multi-Network Models by Characterizing Variation Operators and Model Components
Unai Garciarena, Roberto Santana, Alexander Mendiburu
With neural architecture search methods gaining ground on manually designed deep neural networks -even more rapidly as model sophistication escalates-, the research trend shifts to…
Gray-box optimization and factorized distribution algorithms: where two worlds collide
Roberto Santana
The concept of gray-box optimization, in juxtaposition to black-box optimization, revolves about the idea of exploiting the problem structure to implement more efficient evolutiona…
Computing factorized approximations of Pareto-fronts using mNM-landscapes and Boltzmann distributions
Roberto Santana, Alexander Mendiburu, Jose A. Lozano
NM-landscapes have been recently introduced as a class of tunable rugged models. They are a subset of the general interaction models where all the interactions are of order less or…
MOEA/D-GM: Using probabilistic graphical models in MOEA/D for solving combinatorial optimization problems
Murilo Zangari de Souza, Roberto Santana, Aurora Trinidad Ramirez Pozo +1
Evolutionary algorithms based on modeling the statistical dependencies (interactions) between the variables have been proposed to solve a wide range of complex problems. These algo…