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Author

Kay Chen Tan

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Preprint Sep 2026

Online Automated Algorithm Design with Large Language Models

This work introduces online LLM-based AAD, a novel optimization paradigm that treats the algorithm itself as a state-dependent decision variable and proposes OnDesign, a multi-agent framework that reconciles competing design perspectives to synthesize executable algorithms and uses execution feedback to refine how runt...

Zhi-Yao Zhang, Yi-Chen Li, Xing-Yu Wu et al. · 0 citations
Jun 2026

Semantics-Aware Bilevel Co-Evolution: Towards Automated Multicomponent Algorithm Design

LLM-assisted evolutionary search (LES) has emerged as a promising paradigm for automated algorithm design. However, existing methods usually suffer from two inherent limitations when facing the automated design of real-world complex algorithms that usually consist of multiple components. The first limitation is that th...

Zhiyao Zhang, Sheng-Hao Wu, Xingyu Wu et al. · 0 citations

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