7 citations · 15 across the 4 of their papers we have counts for
4 papers
Context Matters: Adaptive Mutation for Grammars
Pedro Carvalho, Jessica Mégane, Nuno Lourenço +1
This work proposes Adaptive Facilitated Mutation, a self-adaptive mutation method for Structured Grammatical Evolution (SGE), biologically inspired by the theory of facilitated var…
Structured mutation inspired by evolutionary theory enriches population performance and diversity
Stefano Tiso, Pedro Carvalho, Nuno Lourenço +1
Grammar-Guided Genetic Programming (GGGP) employs a variety of insights from evolutionary theory to autonomously design solutions for a given task. Recent insights from evolutionar…
Evolving Learning Rate Optimizers for Deep Neural Networks
Pedro Carvalho, Nuno Lourenço, Penousal Machado
Artificial Neural Networks (ANNs) became popular due to their successful application difficult problems such image and speech recognition. However, when practitioners want to desig…
AutoLR: An Evolutionary Approach to Learning Rate Policies
Pedro Carvalho, Nuno Lourenço, Filipe Assunção +1
The choice of a proper learning rate is paramount for good Artificial Neural Network training and performance. In the past, one had to rely on experience and trial-and-error to fin…