Graph representations in genetic programming L Françoso Dal Piccol Sotto, P Kaufmann, T Atkinson, R Kalkreuth, ... Genetic Programming and Evolvable Machines 22 (4), 607-636, 2021 | 24 | 2021 |
Studying bloat control and maintenance of effective code in linear genetic programming for symbolic regression LF dal Piccol Sotto, VV de Melo Neurocomputing 180, 79-93, 2016 | 23 | 2016 |
A probabilistic linear genetic programming with stochastic context-free grammar for solving symbolic regression problems LFDP Sotto, VV de Melo Proceedings of the Genetic and Evolutionary Computation Conference, 1017-1024, 2017 | 20 | 2017 |
-LGP: an improved version of linear genetic programming evaluated in the Ant Trail problem LFDP Sotto, VV de Melo, MP Basgalupp Knowledge and Information Systems 52 (2), 445-465, 2017 | 16 | 2017 |
A study on graph representations for genetic programming LFDP Sotto, P Kaufmann, T Atkinson, R Kalkreuth, MP Basgalupp Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 931-939, 2020 | 13 | 2020 |
A MIMD interpreter for genetic programming VV de Melo, ÁL Fazenda, LFDP Sotto, G Iacca Applications of Evolutionary Computation: 23rd European Conference …, 2020 | 11 | 2020 |
An analysis of the influence of noneffective instructions in linear genetic programming LFDP Sotto, F Rothlauf, VV de Melo, MP Basgalupp Evolutionary Computation 30 (1), 51-74, 2022 | 9 | 2022 |
Classification of cardiac arrhythmia by random forests with features constructed by kaizen programming with linear genetic programming LFDP Sotto, RC Coelho, VV de Melo Proceedings of the Genetic and Evolutionary Computation Conference 2016, 813-820, 2016 | 8 | 2016 |
Investigation of linear genetic programming techniques for symbolic regression LF dal Piccol Sotto, VV de Melo 2014 Brazilian Conference on Intelligent Systems, 146-151, 2014 | 8 | 2014 |
An improved λ-linear genetic programming evaluated in solving the Santa Fe ant trail problem LFDP Sotto, VV de Melo, MP Basgalupp Proceedings of the 31st annual ACM symposium on applied computing, 103-108, 2016 | 6 | 2016 |
Comparison of linear genetic programming variants for symbolic regression LFDP Sotto, VV de Melo Proceedings of the Companion Publication of the 2014 Annual Conference on …, 2014 | 5 | 2014 |
The elements of flexibility for task-performing systems S Mayer, LFDP Sotto, J Garcke IEEE Access 11, 8029-8056, 2023 | 3 | 2023 |
The pole balancing problem from the viewpoint of system flexibility LFDP Sotto, S Mayer, J Garcke Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | 3 | 2022 |
On the role of non-effective code in linear genetic programming LFDP Sotto, F Rothlauf Proceedings of the Genetic and Evolutionary Computation Conference, 1075-1083, 2019 | 3 | 2019 |
Solving the lawn mower problem with kaizen programming and λ-linear genetic programming for module acquisition LFDP Sotto, VV de Melo Proceedings of the 2016 on Genetic and Evolutionary Computation Conference …, 2016 | 2 | 2016 |
Chatbot com aprendizado a partir de diálogos L Sotto, VDC Costa Instituto de Ciencia e Tecnologia, Universidade Federal de Sâo Paulo, Sao Paulo, 2015 | 2 | 2015 |
Graph-based genetic programming R Kalkreuth, LFDP Sotto, Z Vašíček Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | 1 | 2022 |
An Analysis of the Influence of Noneffective Instructions in Linear Genetic Programming LF Dal Piccol Sotto, F Rothlauf, V Veloso de Melo, MP Basgalupp | 1 | 2022 |
Automatic meta-feature engineering for CNN fusion in aerial scene classification task VV De Melo, LFDP Sotto, MM Leonardo, FA Faria IEEE Geoscience and Remote Sensing Letters 17 (9), 1652-1656, 2019 | 1 | 2019 |
Evolutionary Solution Adaption for Multi-Objective Metal Cutting Process Optimization LFDP Sotto, S Mayer, H Janarthanam, A Butz, J Garcke arXiv preprint arXiv:2305.19775, 2023 | | 2023 |