1
Graph Neural Networks are Heuristics
颠覆认知：GNN本质是高级启发式算法而非特征学习器，理论推导+实验验证给出新视角
arXiv:2601.13465v4 Announce Type: replace Abstract: Graph neural networks are usually treated as auxiliaries for combinatorial optimization: they imit…
2
RAISE: LLM-based Automated Heuristic Design with Robust Adversary Instance Search
用大模型自动设计启发式算法，配合对抗搜索提升鲁棒性，开辟算法设计新范式。
arXiv:2606.31801v1 Announce Type: new Abstract: Automated Heuristic Design (AHD) with Large Language Models (LLMs) has shown remarkable progress in di…
3
Enhancing CVRP Solver through LLM-driven Automatic Heuristic Design
用大语言模型自动设计启发式算法，显著提升CVRP求解器性能，AI+运筹优化新突破
arXiv:2602.23092v2 Announce Type: replace Abstract: The Capacitated Vehicle Routing Problem (CVRP), a fundamental combinatorial optimization challenge…
4
Slopper GitHub Action: Fighting AI Slop Contributions on Open Source Projects
用6个启发式信号检测AI生成的垃圾PR，无需API密钥，开源维护神器。
Article URL: https://github.com/malvads/Slopper Comments URL: https://news.ycombinator.com/item?id=48426225 Points: 4 # Comments: 0
5
Petri Net Induced Heuristic Search for Resource Constrained Scheduling
将资源约束项目调度问题建模为 Petri Net 可达图搜索，并用 A* 与关键路径启发式高效求解。
arXiv:2605.15983v1 Announce Type: new Abstract: We formulate the Resource-Constrained Project Scheduling Problem (RCPSP) as optimal search over the re…