Genetic Programming Bibliography entries for Giorgia Nadizar

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GP coauthors/coeditors: Steven P Jorgensen, Gloria Pietropolli, Luca Manzoni, Eric Medvet, Una-May O'Reilly, Erik Hemberg, Karine da Silva Miras de Araujo, Fraser Garrow, Berfin Sakallioglu, Lorenzo Canonne, Sara Silva, Leonardo Vanneschi, Luigi Rovito, Andrea De Lorenzo, Marco Virgolin, Dennis G Wilson,

Genetic Programming Articles by Giorgia Nadizar

• Giorgia Nadizar and Luigi Rovito and Andrea De Lorenzo and Eric Medvet and Marco Virgolin. An Analysis of the Ingredients for Learning Interpretable Symbolic Regression Models with Human-in-the-loop and Genetic Programming. ACM Transactions on Evolutionary Learning and Optimization, 4(1) 2024. 17000th GP entry. details

• Giorgia Nadizar and Berfin Sakallioglu and Fraser Garrow and Sara Silva and Leonardo Vanneschi. Geometric semantic GP with linear scaling: Darwinian versus Lamarckian evolution. Genetic Programming and Evolvable Machines, 25:Article no: 17, 2024. Online first. details

• 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

Genetic Programming conference papers by Giorgia Nadizar

1. Giorgia Nadizar and Eric Medvet and Dennis Wilson. Searching for a Diversity of Interpretable Graph Control Policies. 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 933-941, Melbourne, Australia, 2024. Association for Computing Machinery. details

2. 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

3. Giorgia Nadizar and Eric Medvet and Dennis G. Wilson. Naturally Interpretable Control Policies via Graph-Based Genetic Programming. In Mario Giacobini and Bing Xue and Luca Manzoni editors, EuroGP 2024: Proceedings of the 27th European Conference on Genetic Programming, volume 14631, pages 73-89, Aberystwyth, 2024. Springer. Best paper. details

4. Giorgia Nadizar and Fraser Garrow and Berfin Sakallioglu and Lorenzo Canonne and Sara Silva and Leonardo Vanneschi. An Investigation of Geometric Semantic GP with Linear Scaling. 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 1165-1174, Lisbon, Portugal, 2023. Association for Computing Machinery. details

5. Giorgia Nadizar and Eric Medvet. On the Effects of Collaborators Selection and Aggregation in Cooperative Coevolution: an Experimental Analysis. In Gisele Pappa and Mario Giacobini and Zdenek Vasicek editors, EuroGP 2023: Proceedings of the 26th European Conference on Genetic Programming, volume 13986, pages 292-307, Brno, Czech Republic, 2023. Springer Verlag. details

6. Eric Medvet and Giorgia Nadizar. GP for Continuous Control: Teacher or Learner? The Case of Simulated Modular Soft Robots. In Stephan Winkler and Leonardo Trujillo and Charles Ofria and Ting Hu editors, Genetic Programming Theory and Practice XX, pages 203-224, Michigan State University, USA, 2023. Springer. details

7. Giorgia Nadizar and Eric Medvet and Karine Miras. On the Schedule for Morphological Development of Evolved Modular Soft Robots. In Eric Medvet and Gisele Pappa and Bing Xue editors, EuroGP 2022: Proceedings of the 25th European Conference on Genetic Programming, volume 13223, pages 146-161, Madrid, Spain, 2022. Springer Verlag. details