A comparative study of ensemble techniques based on genetic programming: A case study in semantic similarity assessment

J Martinez-Gil - International Journal of Software Engineering and …, 2023 - World Scientific
The challenge of assessing semantic similarity between pieces of text through computers
has attracted considerable attention from industry and academia. New advances in neural …

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

LF dal Piccol Sotto, VV de Melo - Neurocomputing, 2016 - Elsevier
Abstract Linear Genetic Programming (LGP) is an Evolutionary Computation algorithm,
inspired in the Genetic Programming (GP) algorithm. Instead of using the standard tree …

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

LFDP Sotto, VV de Melo, MP Basgalupp - Knowledge and Information …, 2017 - Springer
Abstract The Ant Trail problem has been widely investigated as a benchmark for automatic
design of algorithms. One must design the program of a virtual ant to collect all pieces of …

Evaluating methods for constant optimization of symbolic regression benchmark problems

VV De Melo, B Fowler… - 2015 Brazilian conference …, 2015 - ieeexplore.ieee.org
Constant optimization in symbolic regression is an important task addressed by several
researchers. It has been demonstrated that continuous optimization techniques are …

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 …, 2016 - dl.acm.org
We propose in this paper a new approach called λ-LGP (λ-Linear Genetic Programming), a
variation of the well-know LGP (Linear Genetic Programming) algorithm. Starting with an …