Léo Françoso Dal Piccol Sotto

According to our database, Léo Françoso Dal Piccol Sotto authored at least 18 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Evolutionary Solution Adaption for Multi-Objective Metal Cutting Process Optimization.

Léo Françoso Dal Piccol Sotto, Sebastian Mayer, Hemanth Janarthanam, Alexander Butz, Jochen Garcke

CoRR, 2023

The Elements of Flexibility for Task-Performing Systems.

Sebastian Mayer, Léo Françoso Dal Piccol Sotto, Jochen Garcke

IEEE Access, 2023

2022

An Analysis of the Influence of Noneffective Instructions in Linear Genetic Programming.

Léo Françoso Dal Piccol Sotto, Franz Rothlauf, Vinícius Veloso de Melo, Márcio P. Basgalupp

Evol. Comput., 2022

The pole balancing problem from the viewpoint of system flexibility.

Léo Françoso Dal Piccol Sotto, Sebastian Mayer, Jochen Garcke

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Graph-based genetic programming.

Roman Kalkreuth, Léo Françoso Dal Piccol Sotto, Zdenek Vasícek

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

Graph representations in genetic programming.

Léo Françoso Dal Piccol Sotto, Paul Kaufmann, Timothy Atkinson, Roman Kalkreuth, Márcio Porto Basgalupp

Genet. Program. Evolvable Mach., 2021

2020

Automatic Meta-Feature Engineering for CNN Fusion in Aerial Scene Classification Task.

Vinícius Veloso de Melo, Léo Françoso Dal Piccol Sotto, Matheus Macedo Leonardo, Fábio Augusto Faria

IEEE Geosci. Remote. Sens. Lett., 2020

A study on graph representations for genetic programming.

Léo Françoso Dal Piccol Sotto, Paul Kaufmann, Timothy Atkinson, Roman Kalkreuth, Márcio Porto Basgalupp

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

A MIMD Interpreter for Genetic Programming.

Vinícius Veloso de Melo, Álvaro Luiz Fazenda, Léo Françoso Dal Piccol Sotto, Giovanni Iacca

Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020

2019

On the role of non-effective code in linear genetic programming.

Léo Françoso Dal Piccol Sotto, Franz Rothlauf

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2017

λ-LGP: an improved version of linear genetic programming evaluated in the Ant Trail problem.

Léo Françoso Dal Piccol Sotto, Vinícius Veloso de Melo, Márcio Porto Basgalupp

Knowl. Inf. Syst., 2017

A probabilistic linear genetic programming with stochastic context-free grammar for solving symbolic regression problems.

Léo Françoso Dal Piccol Sotto, Vinícius Veloso de Melo

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Studying bloat control and maintenance of effective code in linear genetic programming for symbolic regression.

Léo Françoso Dal Piccol Sotto, Vinícius Veloso de Melo

Neurocomputing, 2016

An improved λ-linear genetic programming evaluated in solving the Santa Fe ant trail problem.

Léo Françoso Dal Piccol Sotto, Vinícius Veloso de Melo, Márcio P. Basgalupp

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Solving the Lawn Mower problem with Kaizen Programming and λ-Linear Genetic Programming for Module Acquisition.

Léo Françoso Dal Piccol Sotto, Vinícius Veloso de Melo

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Classification of Cardiac Arrhythmia by Random Forests with Features Constructed by Kaizen Programming with Linear Genetic Programming.

Léo Françoso Dal Piccol Sotto, Regina Célia Coelho, Vinícius Veloso de Melo

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2014

Comparison of linear genetic programming variants for symbolic regression.

Léo Françoso Dal Piccol Sotto, Vinícius Veloso de Melo

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Investigation of Linear Genetic Programming Techniques for Symbolic Regression.

Léo Françoso Dal Piccol Sotto, Vinícius Veloso de Melo

Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014