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The Inefficiency of Genetic Programming for Symbolic Regression

Mar 30, 2026arXiv Neural & Evolutionary Computing

Event Summary

arXiv:2404.17292v2 Announce Type: replace Abstract: We analyse the search behaviour of genetic programming for symbolic regression in practically relevant but limited settings, allowing exhaustive enumeration of all solutions. This enables us to quantify the success probability of finding the best p

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