185 citations · 197 across the 5 of their papers we have counts for
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cs.NE2023★ 3 cited
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…
cs.NE2021★ 7 cited
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…
cs.NE2020★ 185 cited
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…