AutoLR: an evolutionary approach to learning rate policies. - Pedro Carvalho 002; Nuno Lourenço 002; Filipe Assunção; Penousal Machado (GECCO, 2020)

Evolving Learning Rate Optimizers for Deep Neural Networks. - Pedro Carvalho 002; Nuno Lourenço 002; Penousal Machado (CoRR, 2021)

Evolving Adaptive Neural Network Optimizers for Image Classification. - Pedro Carvalho 002; Nuno Lourenço 002; Penousal Machado (EuroGP, 2022)

Context Matters: Adaptive Mutation for Grammars. - Pedro Carvalho 002; Jessica Mégane; Nuno Lourenço 002; Penousal Machado (EuroGP, 2023)

Feature Selection on Epistatic Problems Using Genetic Algorithms with Nested Classifiers. - Pedro Carvalho 002; Bruno Ribeiro 008; Nuno M. Rodrigues; João E. Batista; Leonardo Vanneschi; Sara Silva (EvoApplications@EvoStar, 2023)

Biological insights on grammar-structured mutations improve fitness and diversity. - Stefano Tiso; Pedro Carvalho 002; Nuno Lourenço 002; Penousal Machado (GECCO, 2023)

Structured mutation inspired by evolutionary theory enriches population performance and diversity. - Stefano Tiso; Pedro Carvalho 002; Nuno Lourenço 002; Penousal Machado (CoRR, 2023)

How to Improve Neural Network Training Using Evolutionary Algorithms. - Pedro Carvalho 002; Nuno Lourenço 002; Penousal Machado (SN Comput. Sci., 2024)