cs.NE · 2026-09-17 · No. 116

Neural and Evolutionary Computing, 2026-09-17.

1 new papers in cs.NE. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    Benchmarking Tabular Foundation Models as Surrogates in Expensive Evolutionary Optimization

    Lu Han, Jin Wang, Yuchen Li, Haoran Gu, Shulei Liu, Ziyang Shi, Wenao Lu, Handing Wang

    cs.NE · cs.LG

    Surrogate-assisted evolutionary algorithms (SAEAs) are effective methods for solving expensive optimization problems (EOPs), where surrogate models replace most expensive evaluations and critically influence the final optimization results. In recent years, tabular foundation models have advanced rapidly, and the Tabular Prior-data Fitted Network (TabPFN) has been adopted as a surrogate model for EOPs due to its strong predictive capability,...

    arxiv.org/abs/2609.18130 · PDF

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