14 documents found, page 1 of 2
Slim_gsgp
Rosenfeld, Liah; Farinati, Davide; Rasteiro, Diogo; Pietropolli, Gloria; Rebuli, Karina Brotto; Silva, Sara; Vanneschi, LeonardoRosenfeld, L., Farinati, D., Rasteiro, D., Pietropolli, G., Rebuli, K. B., Silva, S., & Vanneschi, L. (2025). Slim_gsgp: A Python Library for Non-Bloating GSGP. In G. Ochoa (Ed.), GECCO '25: Proceedings of the Genetic and Evolutionary Computation Conference (pp. 1026-1034). ACM - Association for Computing Machinery. https://doi.org/10.1145/3712256.3726398 --- This work was supported by national funds through FC...
Introducing Crossover in SLIM-GSGP
Pietropolli, Gloria; Farinati, Davide; Manzoni, Luca; Castelli, Mauro; Silva, Sara; Vanneschi, LeonardoPietropolli, G., Farinati, D., Manzoni, L., Castelli, M., Silva, S., & Vanneschi, L. (2025). Introducing Crossover in SLIM-GSGP. In B. Xue, L. Manzoni, & I. Bakurov (Eds.), Genetic Programming: 28th European Conference, EuroGP 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings (pp. 103-119). (Lecture Notes in Computer Science; Vol. 15609). Springer Nature Switzerland AG. https://...
Exploring the Impact of Data Scale on Mutation Step Size in SLIM-GSGP
Farinati, Davide; Pietropolli, Gloria; Vanneschi, LeonardoFarinati, D., Pietropolli, G., & Vanneschi, L. (2025). Exploring the Impact of Data Scale on Mutation Step Size in SLIM-GSGP. In B. Xue, L. Manzoni, & I. Bakurov (Eds.), Genetic Programming: 28th European Conference, EuroGP 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings (pp. 35-51). (Lecture Notes in Computer Science; Vol. 15609). Springer Nature Switzerland AG. https://doi.o...
Exploring the Integration of Cellular Structures in Genetic Programming-Based M...
Rovito, Luigi; Bonin, Lorenzo; Farinati, Davide; Vanneschi, Leonardo; Manzoni, Luca; De Lorenzo, Andrea; Pietropolli, GloriaRovito, L., Bonin, L., Farinati, D., Vanneschi, L., Manzoni, L., De Lorenzo, A., & Pietropolli, G. (2025). Exploring the Integration of Cellular Structures in Genetic Programming-Based Methods. In B. Xue, L. Manzoni, & I. Bakurov (Eds.), Genetic Programming: 28th European Conference, EuroGP 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings (pp. 120-138). (Lecture Notes in Comput...
A Study on the Dynamics and Effectiveness of the Deflate Geometric Semantic Mut...
Farinati, Davide; Pietropolli, Gloria; Vanneschi, LeonardoFarinati, D., Pietropolli, G., & Vanneschi, L. (2025). A Study on the Dynamics and Effectiveness of the Deflate Geometric Semantic Mutation. IEEE Transactions on Evolutionary Computation. https://doi.org/10.1109/TEVC.2025.3611226 --- %ABS4% --- This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project - UIDB/04152 - Centro de Investigação em Gestão de Info...
Semantic-based recombination and mutation in cellular-inspired genetic programming
Rovito, Luigi; Bonin, Lorenzo; Farinati, Davide; Vanneschi, Leonardo; Manzoni, Luca; De Lorenzo, Andrea; Pietropolli, GloriaRovito, L., Bonin, L., Farinati, D., Vanneschi, L., Manzoni, L., De Lorenzo, A., & Pietropolli, G. (2025). Semantic-based recombination and mutation in cellular-inspired genetic programming. Genetic Programming And Evolvable Machines, 26(2), Article 27. https://doi.org/10.1007/s10710-025-09524-7 --- This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project...
Automatic design of interpretable control laws through parametrized Genetic Pro...
Marchetti, Francesco; Pietropolli, Gloria; Verdù, Federico Julian Camerota; Castelli, Mauro; Minisci, EdmondoMarchetti, F., Pietropolli, G., Verdù, F. J. C., Castelli, M., & Minisci, E. (2024). Automatic design of interpretable control laws through parametrized Genetic Programming with adjoint state method gradient evaluation. Applied Soft Computing, 159, 1-17. Article 111654. https://doi.org/10.1016/j.asoc.2024.111654 --- This work was supported by national funds through the FCT (Fundação para a Ciência e a Tecnologi...
Slim
Rosenfeld, Liah; Farinati, Davide; Rasteiro, Diogo; Pietropolli, Gloria; Rebuli, Karina Brotto; Silva, Sara; Vanneschi, LeonardoRosenfeld, L., Farinati, D., Rasteiro, D., Pietropolli, G., Rebuli, K. B., Silva, S., & Vanneschi, L. (2024). Slim: a Python Library for the non-bloating SLIM-GSGP algorithm [poster]. 1. Poster session presented at Data Research Meetup by MagIC, Lisbon, Portugal. --- This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project - UIDB/04152/2020 - Centro de In...
A Genetic Programming Based Heuristic to Simplify Rugged Landscapes Exploration
Pietropolli, Gloria; Menara, Giuliamaria; Castelli, MauroPietropolli, G., Menara, G., & Castelli, M. (2023). A Genetic Programming Based Heuristic to Simplify Rugged Landscapes Exploration. Emerging Science Journal, 7(4), 1037-1051. https://doi.org/10.28991/ESJ-2023-07-04-01; Some optimization problems are difficult to solve due to a considerable number of local optima, which may result in premature convergence of the optimization process. To address this problem, we...
A Self-Adaptive Approach to Exploit Topological Properties of Different GAs’ Cr...
Ferreira, José; Castelli, Mauro; Manzoni, Luca; Pietropolli, GloriaFerreira, J., Castelli, M., Manzoni, L., & Pietropolli, G. (2023). A Self-Adaptive Approach to Exploit Topological Properties of Different GAs’ Crossover Operators. In G. Pappa, M. Giacobini, & Z. Vasicek (Eds.), Genetic Programming: 26th European Conference, EuroGP 2023 Held as Part of EvoStar 2023 Brno, Czech Republic, April 12–14, 2023 Proceedings (pp. 3-18). (Lecture Notes in Computer Science; Vol. 13986). ...