Minimalist Genetic Programming
Researchers have introduced Minimalist Genetic Programming (MGP), a novel approach to program induction inspired by linguistic minimalism. Unlike traditional genetic programming that relies on evolutionary search, MGP utilizes a syntactic derivation process based on the MERGE operator. This method has demonstrated success in discovering core symbolic expression components and incrementally building them, outperforming standard GP on challenging symbolic regression tasks prone to bloat. AI
IMPACT Presents a novel algorithmic approach that could improve symbolic regression and program induction tasks.