Semantic-based Distance Approaches in Multi-objective Genetic Programming. - Edgar Galván; Fergal Stapleton (SSCI, 2020)

Promoting Semantics in Multi-objective Genetic Programming based on Decomposition. - Edgar Galván; Fergal Stapleton (CoRR, 2020)

Semantic Neighborhood Ordering in Multi-objective Genetic Programming based on Decomposition. - Fergal Stapleton; Edgar Galván (CEC, 2021)

Highlights of semantics in multi-objective genetic programming. - Edgar Galván; Leonardo Trujillo; Fergal Stapleton (GECCO Companion, 2022)

Neuroevolutionary multi-objective approaches to trajectory prediction in autonomous vehicles. - Fergal Stapleton; Edgar Galván; Ganesh Sistu; Senthil Kumar Yogamani (GECCO Companion, 2022)

Semantics in Multi-objective Genetic Programming. - Edgar Galván; Leonardo Trujillo; Fergal Stapleton (Appl. Soft Comput., 2022)

Initial Steps Towards Tackling High-dimensional Surrogate Modeling for Neuroevolution Using Kriging Partial Least Squares. - Fergal Stapleton; Edgar Galván (GECCO Companion, 2023)

Evolutionary Multi-objective Optimisation in Neurotrajectory Prediction. - Edgar Galván; Fergal Stapleton (Appl. Soft Comput., 2023)

NeuroLGP-SM: Scalable Surrogate-Assisted N euroevolution for Deep Neural Networks. - Fergal Stapleton; Edgar Galván (CEC, 2024)

NeuroLGP-SM: A Surrogate-assisted Neuroevolution Approach using Linear Genetic Programming. - Fergal Stapleton; Brendan Cody-Kenny; Edgar Galván (CoRR, 2024)

NeuroLGP-SM: Scalable Surrogate-Assisted Neuroevolution for Deep Neural Networks. - Fergal Stapleton; Edgar Galván (CoRR, 2024)

Surrogate-Assisted Evolution for Efficient Multi-branch Connection Design in Deep Neural Networks. - Fergal Stapleton; Daniel García-Núñez; Yanan Sun 001; Edgar Galván (CoRR, 2025)