Genetic Programming Bibliography entries for Davide Farinati

up to index Created by W.Langdon from gp-bibliography.bib Revision:1.8237

GP coauthors/coeditors: Illya Bakurov, Leonardo Vanneschi, Gloria Pietropolli, Daniele M Papetti, Andrea Tangherloni, Paolo Cazzaniga, Luca Manzoni, Mauro Castelli, Luigi Rovito, Lorenzo Bonin, Andrea De Lorenzo,

Genetic Programming Articles by Davide Farinati

• 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

• 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

• 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, Trieste, 2025. Springer Nature. Forthcoming. 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, Trieste, 2025. Springer Nature. Forthcoming. 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, Trieste, 2025. Springer Nature. Forthcoming. details

4. 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