Author

Sheng-Cai Liu

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Preprint Aug 2026

Evolving Parallel Algorithm Portfolios via Potential-Aware Instance Generation with LLMs

The potential gain metric is proposed, a novel metric that eliminates the need for reference solutions and consistently outperforms state-of-the-art LLM-ACP baselines, notably achieving a 19.76% relative improvement for TSP Greedy Constructive portfolios.

Shao-Feng Zhang, Sheng-Cai Liu, Zhi-Yuan Wang et al. · 0 citations

Preprint Aug 2026

MuEvo: LLM-Driven Evolution of Multi-Heuristic Ensemble

Large language model-based automated heuristic design (LLM-AHD) has shown strong potential in discovering effective heuristics for combinatorial optimization problems. However, existing methods primarily optimize a single heuristic, whereas practical optimization frameworks often rely on multiple interacting components...

Haoze Lv, Ning Lu, Shengcai Liu et al. · 0 citations