Minimalist Genetic Programming offers new approach to program induction

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

影响 Presents a novel algorithmic approach that could improve symbolic regression and program induction tasks.

排序理由 The cluster contains a research paper detailing a new algorithm for genetic programming. [lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

• Genetic Programming
• Leonardo Trujillo
• Minimalist Genetic Programming

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