FORGE 框架使用图嵌入来解决优化问题

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-18 04:00

研究人员开发了 FORGE 框架，该框架利用图嵌入和向量量化来表示组合优化问题。该方法在各种混合整数规划实例上预训练模型，而无需优化求解器。预训练的嵌入可以对未见的实例进行聚类，并在微调后，提高商业求解器的性能，并在整数差距预测和搜索引导等任务上超越现有的基于学习的方法。 AI

影响该框架有望加速解决跨越各种科学和工程领域的复杂优化问题。

排序理由这是一篇详细介绍优化问题新框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.LG TIER_1 English(EN) · Zohair Shafi, Serdar Kadioglu · 2026-06-18 04:00

FORGE：基于图嵌入的基础优化表示

arXiv:2508.20330v5 Announce Type: replace Abstract: Combinatorial optimization problems are ubiquitous in science and engineering. Still, learning-based approaches to accelerate combinatorial optimization often require solving a large number of difficult instances to collect trai…