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Jiang-Han Zhu

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Preprint Oct 2026

Directing to Diversify: Multi-Directional Search for Automatic Heuristic Design

Large language models (LLMs) have demonstrated strong potential to automate heuristic design for NP-hard combinatorial optimization (CO) tasks without human intervention. Recent methods predominantly rely on evolutionary computation (EC) frameworks, where heuristic diversification is mainly induced through EC-like oper...

Jiang-Han Zhu, Jianan Zhou, Fei Liu et al. · 0 citations
#artificial intelligence Preprint Sep 2026

SimpleEvol: An Agent-Loop Framework for LLM-Driven Automated Heuristic Design with Minimal Human Priors

SimpleEvol is proposed, an agent-loop framework for AHD which removes nearly all human priors and allows the LLM to operate autonomously, suggesting that reducing human priors is a more effective strategy to scale up with model intelligence.

Jiang-Han Zhu, Cong Zhang, Rong-Jie Zhu et al. · 0 citations

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