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arXiv Machine Learning By Xintong Liu, Chenkai Zhang, Yanzhao Ma, Peng Yang

Lineage-Aware Search Control for LLM-Based Evolutionary Factor Mining

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The paper introduces LineageEvo, a method that incorporates lineage-level control into large‑language‑model (LLM) based evolutionary factor mining. It uses lineage‑conditioned LLM variation to guide semantic generation and lineage‑stratified search allocation to balance quality and diversity across evolutionary branches. Experiments on CSI 500 and S&P 500 show that LineageEvo outperforms existing approaches in predictive performance and produces a more balanced, structurally diverse factor pool.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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