185 citations · 197 across the 5 of their papers we have counts for
5 papers
Initial Steps Towards Tackling High-dimensional Surrogate Modeling for Neuroevolution Using Kriging Partial Least Squares
Fergal Stapleton, Edgar Galván
Surrogate-assisted evolutionary algorithms (SAEAs) aim to use efficient computational models with the goal of approximating the fitness function in evolutionary computation systems…
Neural Architecture Search Using Genetic Algorithm for Facial Expression Recognition
Shuchao Deng, Yanan Sun, Edgar Galvan
Facial expression is one of the most powerful, natural, and universal signals for human beings to express emotional states and intentions. Thus, it is evident the importance of cor…
Neuroevolution in Deep Learning: The Role of Neutrality
Edgar Galván
A variety of methods have been applied to the architectural configuration and learning or training of artificial deep neural networks (DNN). These methods play a crucial role in th…
Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges
Edgar Galván, Peter Mooney
A variety of methods have been applied to the architectural configuration and learning or training of artificial deep neural networks (DNN). These methods play a crucial role in th…
Exploration of the High Entropy Alloy Space as a Constraint Satisfaction Problem
Anas Abu-Odeh, Edgar Galvan, Tanner Kirk +5
High Entropy Alloys (HEAs), Multi-principal Component Alloys (MCA), or Compositionally Complex Alloys (CCAs) are alloys that contain multiple principal alloying elements. While man…