Investigation of Linear Genetic Programming Techniques for Symbolic Regression. - Léo Françoso Dal Piccol Sotto; Vinícius Veloso de Melo (BRACIS, 2014)

Comparison of linear genetic programming variants for symbolic regression. - Léo Françoso Dal Piccol Sotto; Vinícius Veloso de Melo (GECCO (Companion), 2014)

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 (GECCO, 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 (GECCO (Companion), 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 (SAC, 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)

A probabilistic linear genetic programming with stochastic context-free grammar for solving symbolic regression problems. - Léo Françoso Dal Piccol Sotto; Vinícius Veloso de Melo (GECCO, 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)

On the role of non-effective code in linear genetic programming. - Léo Françoso Dal Piccol Sotto; Franz Rothlauf (GECCO, 2019)

A MIMD Interpreter for Genetic Programming. - Vinícius Veloso de Melo; Álvaro Luiz Fazenda 001; Léo Françoso Dal Piccol Sotto; Giovanni Iacca (EvoApplications, 2020)

A study on graph representations for genetic programming. - Léo Françoso Dal Piccol Sotto; Paul Kaufmann; Timothy Atkinson 001; Roman Kalkreuth; Márcio Porto Basgalupp (GECCO, 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)

Graph representations in genetic programming. - Léo Françoso Dal Piccol Sotto; Paul Kaufmann; Timothy Atkinson 001; Roman Kalkreuth; Márcio Porto Basgalupp (Genet. Program. Evolvable Mach., 2021)

Graph-based genetic programming. - Roman Kalkreuth; Léo Françoso Dal Piccol Sotto; Zdenek Vasícek (GECCO Companion, 2022)

The pole balancing problem from the viewpoint of system flexibility. - Léo Françoso Dal Piccol Sotto; Sebastian Mayer; Jochen Garcke (GECCO Companion, 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 Elements of Flexibility for Task-Performing Systems. - Sebastian Mayer; Léo Françoso Dal Piccol Sotto; Jochen Garcke (IEEE Access, 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)