Simple heuristics for enhancing GP learning

Learning human-understandable models for the health assessment of Li-ion batteries via Multi-Objective Genetic Programming

“…Although tree-based data structures associated with Genetic Programmingbased Learning (GPBL) have been well-studied both in classification problems and in symbolic regression problems (La Cava et al, 2016)), there are only a few papers on the use of these structures in dynamic models (Villar et al, 2015). Most of these studies focus on optimizing scalar fitness functions, while the majority of the multi-objective implementations of Genetic Programming (GP) are intended to combine anti-bloat techniques with a numerical fitness function (Poli et al, 2008(Poli et al, , 2010.…”

“…FRBS are valid chains in a context-free grammar and GPBL algorithms for FRBS exist (Sanchez et al, 2015). In contrast, there are many human-understandable models with a grammar-based definition that cannot be easily expressed in terms of IF-THEN rules; see, for instance, (Villar et al, 2015).…”