Papers resulting from the Scholarships
Gloria Pietropolli, Davide Farinati, Mauro Castelli, Luca Manzoni, Sara Silva and Leonardo Vanneschi Introducing Crossover in SLIM-GSGP EuroGP 2025
Francesca Da Ros, Luca Di Gaspero, Marie-Louise Lackner, Nysret Musliu and Michael Soprano Search Trajectory Networks Applied to a Real-world Parallel Batch Scheduling Problem EvoApplications 2025
Giorgia Nadizar, Eric Medvet and Dennis G. Wilson Naturally Interpretable Control Policies via Graph–based Genetic Programming EuroGP 2024
Jessica Mégane, Eric Medvet, Nuno Lourenço and Penousal Machado Grammar-based Evolution of Polyominoes EuroGP 2024
Sérgio M. Rebelo, J. J. Merelo, João Bicker and Penousal Machado Evaluation Metrics for Automated Typographic Poster Generation EvoMUSART 2024
Diederick Vermetten, Hao Wang, Kevin Sim and Emma Hart To Switch or not to Switch: Predicting the Benefit of Switching between Algorithms based on Trajectory Features EvoApplications 2023
Ana Kostovska, Diederick Vermetten, Sašo Džeroski, Panče Panov, Tome Eftimov and Carola Doerr Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms EvoApplications 2023
Stefano Sarti, Nuno Lourenço, Jason Adair, Penousal Machado and Gabriela Ochoa Under the Hood of Transfer Learning for Deep Neuroevolution EvoApplications 2023
Andreea Avramescu, Manuel López-Ibáñez and Richard Allmendinger Interactive Stage-wise Optimisation of Personalised Medicine Supply Chains EvoApplications 2023
Gabriela Ochoa, Arnaud Liefooghe, Yuri Lavinas and Claus Aranha Decision/Objective Space Trajectory Networks for Multi-objective Combinatorial Optimisation EvoCOP 2023
Bianca Pascariu, Marcella Samà, Paola Pellegrini, Andrea D’Ariano, Dario Pacciarelli and Joaquin Rodriguez Performance evaluation of a parallel ant colony optimization for the real-time train routing selection problem in large instances EvoCOP 2022
Adam Katona, Nuno Lourenço, Penousal Machado, Dan Franks and James Alfred Walker Utilizing the Untapped Potential of Indirect Encoding for Neural Networks with MetaLearning EvoApplications 2021 (short talk)