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Minimalist Genetic Programming offers new approach to program induction

By PulseAugur Editorial · [1 sources] ·

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.

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

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Minimalist Genetic Programming offers new approach to program induction

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

  1. arXiv cs.AI TIER_1 English(EN) · Leonardo Trujillo ·

    Minimalist Genetic Programming

    arXiv:2606.10237v1 Announce Type: new Abstract: Genetic programming (GP) is based on two important insights. First, that any learning task can fundamentally be posed as a program induction problem, where the goal is to construct a symbolic hierarchical model that is expressed as …

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