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Léo Françoso Dal Piccol Sotto
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2020 – today
- 2023
- [j6]Sebastian Mayer, Léo Françoso Dal Piccol Sotto, Jochen Garcke:
The Elements of Flexibility for Task-Performing Systems. IEEE Access 11: 8029-8056 (2023) - [i3]Léo Françoso Dal Piccol Sotto, Sebastian Mayer, Hemanth Janarthanam, Alexander Butz, Jochen Garcke:
Evolutionary Solution Adaption for Multi-Objective Metal Cutting Process Optimization. CoRR abs/2305.19775 (2023) - 2022
- [j5]Léo Françoso Dal Piccol Sotto, Franz Rothlauf, Vinícius Veloso de Melo, Márcio P. Basgalupp:
An Analysis of the Influence of Noneffective Instructions in Linear Genetic Programming. Evol. Comput. 30(1): 51-74 (2022) - [c11]Léo Françoso Dal Piccol Sotto, Sebastian Mayer, Jochen Garcke:
The pole balancing problem from the viewpoint of system flexibility. GECCO Companion 2022: 427-430 - [c10]Roman Kalkreuth, Léo Françoso Dal Piccol Sotto, Zdenek Vasícek:
Graph-based genetic programming. GECCO Companion 2022: 958-982 - [i2]Sebastian Mayer, Léo Françoso Dal Piccol Sotto, Jochen Garcke:
The elements of flexibility for task-performing systems. CoRR abs/2206.00582 (2022) - 2021
- [j4]Léo Françoso Dal Piccol Sotto, Paul Kaufmann, Timothy Atkinson, Roman Kalkreuth, Márcio Porto Basgalupp:
Graph representations in genetic programming. Genet. Program. Evolvable Mach. 22(4): 607-636 (2021) - 2020
- [j3]Vinícius Veloso de Melo, Léo Françoso Dal Piccol Sotto, Matheus Macedo Leonardo, Fábio Augusto Faria:
Automatic Meta-Feature Engineering for CNN Fusion in Aerial Scene Classification Task. IEEE Geosci. Remote. Sens. Lett. 17(9): 1652-1656 (2020) - [c9]Vinícius Veloso de Melo, Álvaro Luiz Fazenda, Léo Françoso Dal Piccol Sotto, Giovanni Iacca:
A MIMD Interpreter for Genetic Programming. EvoApplications 2020: 645-658 - [c8]Léo Françoso Dal Piccol Sotto, Paul Kaufmann, Timothy Atkinson, Roman Kalkreuth, Márcio Porto Basgalupp:
A study on graph representations for genetic programming. GECCO 2020: 931-939
2010 – 2019
- 2019
- [c7]Léo Françoso Dal Piccol Sotto, Franz Rothlauf:
On the role of non-effective code in linear genetic programming. GECCO 2019: 1075-1083 - 2017
- [j2]Léo Françoso Dal Piccol Sotto, Vinícius Veloso de Melo, Márcio Porto Basgalupp:
λ-LGP: an improved version of linear genetic programming evaluated in the Ant Trail problem. Knowl. Inf. Syst. 52(2): 445-465 (2017) - [c6]Léo Françoso Dal Piccol Sotto, Vinícius Veloso de Melo:
A probabilistic linear genetic programming with stochastic context-free grammar for solving symbolic regression problems. GECCO 2017: 1017-1024 - [i1]Léo Françoso Dal Piccol Sotto, Vinícius Veloso de Melo:
A Probabilistic Linear Genetic Programming with Stochastic Context-Free Grammar for solving Symbolic Regression problems. CoRR abs/1704.00828 (2017) - 2016
- [j1]Léo Françoso Dal Piccol Sotto, Vinícius Veloso de Melo:
Studying bloat control and maintenance of effective code in linear genetic programming for symbolic regression. Neurocomputing 180: 79-93 (2016) - [c5]Léo Françoso Dal Piccol Sotto, Vinícius Veloso de Melo:
Solving the Lawn Mower problem with Kaizen Programming and λ-Linear Genetic Programming for Module Acquisition. GECCO (Companion) 2016: 113-114 - [c4]Léo Françoso Dal Piccol Sotto, Regina Célia Coelho, Vinícius Veloso de Melo:
Classification of Cardiac Arrhythmia by Random Forests with Features Constructed by Kaizen Programming with Linear Genetic Programming. GECCO 2016: 813-820 - [c3]Léo Françoso Dal Piccol Sotto, Vinícius Veloso de Melo, Márcio P. Basgalupp:
An improved λ-linear genetic programming evaluated in solving the Santa Fe ant trail problem. SAC 2016: 103-108 - 2014
- [c2]Léo Françoso Dal Piccol Sotto, Vinícius Veloso de Melo:
Investigation of Linear Genetic Programming Techniques for Symbolic Regression. BRACIS 2014: 146-151 - [c1]Léo Françoso Dal Piccol Sotto, Vinícius Veloso de Melo:
Comparison of linear genetic programming variants for symbolic regression. GECCO (Companion) 2014: 135-136
Coauthor Index
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