Genetic Programming Bibliography entries for Davide Farinati

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GP coauthors/coeditors: Illya Bakurov, Leonardo Vanneschi, Gloria Pietropolli, Daniele M Papetti, Andrea Tangherloni, Paolo Cazzaniga, Luca Manzoni, Mauro Castelli, Liah Rosenfeld, Diogo Rasteiro, Karina Brotto Rebuli, Sara Silva, Luigi Rovito, Lorenzo Bonin, Andrea De Lorenzo,

Genetic Programming Articles by Davide Farinati

  1. Luigi Rovito and Lorenzo Bonin and Davide Farinati and Leonardo Vanneschi and Luca Manzoni and Andrea De Lorenzo and Gloria Pietropolli. Semantic-based recombination and mutation in cellular-inspired genetic programming. Genetic Programming and Evolvable Machines, 26:Article no 27, 2025. Online first. details

  2. Davide Farinati and Leonardo Vanneschi. A survey on dynamic populations in bio-inspired algorithms. Genetic Programming and Evolvable Machines, 25(2):Article no 19, 2024. details

  3. Daniele M. Papetti and Andrea Tangherloni and Davide Farinati and Paolo Cazzaniga and Leonardo Vanneschi. Simplifying Fitness Landscapes Using Dilation Functions Evolved With Genetic Programming. IEEE Computational Intelligence Magazine, 18(1):22-31, 2023. details

  4. Davide Farinati and Illya Bakurov and Leonardo Vanneschi. A study of dynamic populations in geometric semantic genetic programming. Information Sciences, 648:119513, 2023. details

Genetic Programming conference papers by Davide Farinati

  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. Liah Rosenfeld and Davide Farinati and Diogo Rasteiro and Gloria Pietropolli and Karina Brotto Rebuli and Sara Silva and Leonardo Vanneschi. Slim-gsgp: A Python Library for Non-Bloating GSGP. In Aniko Ekart and Nelishia Pillay editors, Proceedings of the 2025 Genetic and Evolutionary Computation Conference, pages 1026-1034, Malaga, Spain, 2025. Association for Computing Machinery. details

  3. 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

  4. Davide Farinati and Leonardo Vanneschi. An empirical study on the feature selection ability of SLIM-GSGP. In Aniko Ekart and Nelishia Pillay editors, Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion, pages 607-610, Malaga, Spain, 2025. Association for Computing Machinery. details

  5. 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

  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. Davide Farinati and Leonardo Vanneschi. GM4OS: An Evolutionary Oversampling Approach for Imbalanced Binary Classification Tasks. In Stephen Smith and Joao Correia and Christian Cintrano editors, 27th International Conference, EvoApplications 2024, volume 14634, pages 68-82, Aberystwyth, 2024. Springer. details