English(EN) RefineEvo: Planning-Guided Heuristic Evolution with Bidirectional Experience

RefineEvo框架增强了优化问题的启发式设计

作者 PulseAugur 编辑部 · [2 个来源] · 2026-07-13 10:24

研究人员推出了一种新的演化框架RefineEvo，旨在增强组合优化问题的自动启发式设计（AHD）。该系统利用规划器动态管理演化算子，并利用反射器在双向经验池中存储经验教训。实验表明，RefineEvo在解的质量和令牌效率方面优于现有方法，实现了更自主的启发式设计。 AI

影响该框架可能导致更高效、更自主地设计复杂优化任务的启发式方法。

排序理由该集群包含一篇详细介绍新研究框架的学术论文。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

报道来源 [2]

arXiv cs.CL TIER_1 English(EN) · Yang Wu, Junran Pan, Yifan Zhang, Ning Xu, Fanshuo Zeng, Jian Cheng · 2026-07-14 04:00

RefineEvo: Planning-Guided Heuristic Evolution with Bidirectional Experience

arXiv:2607.11358v1 Announce Type: new Abstract: Automatic Heuristic Design (AHD) has emerged as a transformative approach for solving combinatorial optimization problems. While recent Large Language Model (LLM)-based methods have shown promise, they predominantly rely on fixed ev…
arXiv cs.CL TIER_1 English(EN) · Jian Cheng · 2026-07-13 10:24

RefineEvo：具有双向经验的引导式启发式演化

Automatic Heuristic Design (AHD) has emerged as a transformative approach for solving combinatorial optimization problems. While recent Large Language Model (LLM)-based methods have shown promise, they predominantly rely on fixed evolutionary operators and struggle to effectively…