Genetic Programming Bibliography entries for Gloria Pietropolli

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GP coauthors/coeditors: Mauro Castelli, Luca Manzoni, Luca Mariot, Giuliamaria Menara, Davide Farinati, Leonardo Vanneschi, Steven P Jorgensen, Giorgia Nadizar, Eric Medvet, Una-May O'Reilly, Erik Hemberg, Francesco Marchetti, Federico Julian Camerota Verdu, Edmondo Minisci, Alessia Paoletti, Luigi Rovito, Lorenzo Bonin, Andrea De Lorenzo, Teresa Tonelli, Gabriele Sbaiz, Diogo Rasteiro, Liah Rosenfeld, Sara Silva,

Genetic Programming Articles by Gloria Pietropolli

  1. Francesco Marchetti and Gloria Pietropolli and Federico Julian Camerota Verdu and Mauro Castelli and Edmondo Minisci. Automatic design of interpretable control laws through parametrized Genetic Programming with adjoint state method gradient evaluation. Applied Soft Computing, 2024. details

  2. Gloria Pietropolli and Luca Manzoni and Alessia Paoletti and Mauro Castelli. On the hybridization of geometric semantic GP with gradient-based optimizers. Genetic Programming and Evolvable Machines, 24(2):Article number: 16, 2023. Online first. details

  3. Gloria Pietropolli and Giuliamaria Menara and Mauro Castelli. A Genetic Programming Based Heuristic to Simplify Rugged Landscapes Exploration. Emerging Science Journal, 7(4) 2023. details

  4. Giorgia Nadizar and Gloria Pietropolli. A grammatical evolution approach to the automatic inference of P systems. Journal of Membrane Computing, 5:129-143, 2023. details

  5. Mauro Castelli and Luca Manzoni and Luca Mariot and Giuliamaria Menara and Gloria Pietropolli. The Effect of Multi-Generational Selection in Geometric Semantic Genetic Programming. Applied Sciences, 12(10):Article No. 4836, 2022. details

Genetic Programming PhD doctoral thesis Gloria Pietropolli

Genetic Programming conference papers by Gloria Pietropolli

  1. Luigi Rovito and Lorenzo Bonin and Davide Farinati and Leonardo Vanneschi and Luca Manzoni and Andrea De Lorenzo and Gloria Pietropolli. Exploring the Integration of Cellular Structures in Genetic Programming-based Methods. In Bing Xue and Luca Manzoni and Illya Bakurov editors, European Conference on Genetic Programming, EuroGP 2025, volume 15609, pages 120-138, Trieste, 2025. Springer Nature. details

  2. Gloria Pietropolli and Davide Farinati and Luca Manzoni and Mauro Castelli and Leonardo Vanneschi. Introducing Crossover in SLIM-GSGP. In Bing Xue and Luca Manzoni and Illya Bakurov editors, European Conference on Genetic Programming, EuroGP 2025, volume 15609, pages 103-119, Trieste, 2025. Springer Nature. details

  3. Davide Farinati and Gloria Pietropolli and Leonardo Vanneschi. Exploring the Impact of Data Scale on Mutation Step Size in SLIM-GSGP. In Bing Xue and Luca Manzoni and Illya Bakurov editors, European Conference on Genetic Programming, EuroGP 2025, volume 15609, pages 18-34, Trieste, 2025. Springer Nature. details

  4. Teresa Tonelli and Gloria Pietropolli and Gabriele Sbaiz and Luca Manzoni. Genetic Programming for the Reconstruction of Delay Differential Equations in Economics. In Amir H Gandomi editor, GECCO Student Workshop, pages 2119-2122, Melbourne, Australia, 2024. Association for Computing Machinery. details

  5. Steven Jorgensen and Giorgia Nadizar and Gloria Pietropolli and Luca Manzoni and Eric Medvet and Una-May O'Reilly and Erik Hemberg. Large Language Model-based Test Case Generation for GP Agents. In Ting Hu and Aniko Ekart and Julia Handl and Xiaodong Li and Markus Wagner and Mario Garza-Fabre and Kate Smith-Miles and Richard Allmendinger and Ying Bi and Grant Dick and Amir H Gandomi and Marcella Scoczynski Ribeiro Martins and Hirad Assimi and Nadarajen Veerapen and Yuan Sun and Mario Andres Munyoz and Ahmed Kheiri and Nguyen Su and Dhananjay Thiruvady and Andy Song and Frank Neumann and Carla Silva editors, Proceedings of the 2024 Genetic and Evolutionary Computation Conference, pages 914-923, Melbourne, Australia, 2024. Association for Computing Machinery. details

  6. Leonardo Vanneschi and Davide Farinati and Diogo Rasteiro and Liah Rosenfeld and Gloria Pietropolli and Sara Silva. Exploring Non-Bloating Geometric Semantic Genetic Programming. In Stephan M. Winkler and Wolfgang Banzhaf and Ting Hu and Alexander Lalejini editors, Genetic Programming Theory and Practice XXI, pages 237-258, University of Michigan, USA, 2024. Springer. details

  7. Gloria Pietropolli and Federico Julian Camerota Verdu and Luca Manzoni and Mauro Castelli. Parametrizing GP Trees for Better Symbolic Regression Performance through Gradient Descent. In Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 619-622, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  8. Gloria Pietropolli and Luca Manzoni and Alessia Paoletti and Mauro Castelli. Combining Geometric Semantic GP with Gradient-descent Optimization. In Eric Medvet and Gisele Pappa and Bing Xue editors, EuroGP 2022: Proceedings of the 25th European Conference on Genetic Programming, volume 13223, pages 17-32, Madrid, Spain, 2022. Springer Verlag. details

Genetic Programming other entries for Gloria Pietropolli