AI RESEARCH
GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing
arXiv CS.AI
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ArXi:2605.10685v1 Announce Type: new Mathematical formulas serve as a language through which humans communicate with nature. Discovering mathematical laws from scientific data to describe natural phenomena has been a long-standing pursuit of humanity for centuries. In the field of artificial intelligence, this challenge is known as the symbolic regression problem. Among existing symbolic regression approaches, Genetic Programming (GP) based on evolutionary algorithms remains one of the most classical and widely adopted methods.