4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.NE2024
On The Nature Of The Phenotype In Tree Genetic Programming
Wolfgang Banzhaf, Illya Bakurov
In this contribution, we discuss the basic concepts of genotypes and phenotypes in tree-based GP (TGP), and then analyze their behavior using five benchmark datasets. We show that…
cs.NE2023
Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression
Nathan Haut, Wolfgang Banzhaf, Bill Punch
This paper examines various methods of computing uncertainty and diversity for active learning in genetic programming. We found that the model population in genetic programming can…
cs.AI2010★ 4 cited
Evolving Genes to Balance a Pole
Miguel Nicolau, Marc Schoenauer, W. Banzhaf
We discuss how to use a Genetic Regulatory Network as an evolutionary representation to solve a typical GP reinforcement problem, the pole balancing. The network is a modified vers…