提出LLM作训练器，为多任务车辆路径问题提供统一求解新思路
arXiv:2607.17708v1 Announce Type: new Abstract: Multi-task neural solvers aim to handle multiple Vehicle Routing Problem (VRP) variants within a unifi…
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…
一项关于大语言模型如何应用于经典装箱问题的深入实验研究，揭示LLM对组合优化的新贡献。
arXiv:2510.27353v2 Announce Type: replace Abstract: Recent studies have suggested that Large Language Models (LLMs) could provide interesting ideas co…
利用解空间结构改进扩散模型，为旅行商问题带来新解法，值得关注。
arXiv:2412.13858v2 Announce Type: replace-cross Abstract: We investigate diffusion models to solve the Traveling Salesman Problem. Building on the rec…
利用结构约束提升扩散模型求解TSP问题的性能，为神经网络组合优化提供新思路
arXiv:2606.09343v1 Announce Type: new Abstract: Neural combinatorial optimization has recently achieved strong results on the Euclidean Traveling Sale…
利用大语言模型引导搜索最优删除纠正码，探索AI与编码理论结合的新方向。
arXiv:2504.00613v2 Announce Type: replace Abstract: Finding deletion-correcting codes of maximum size has been an open problem for over 70 years, even…
用GitHub Copilot将组合优化器从5秒提速到1.2毫秒，开源杂货比价工具的背后故事
This is a submission for the GitHub Finish-Up-A-Thon Challenge What I Built Cijene ("Prices") is Croatia's premier open-source grocery price tracker a…
提出链式2-FWL GNN新方法，突破经典FAQ在图对齐任务中的性能瓶颈。
arXiv:2510.03086v2 Announce Type: replace Abstract: For the combinatorial graph alignment problem (GAP) -- finding the node correspondence that maximi…
访问arXiv上关于深度投资组合优化的前沿论文，融合金融先验知识提升模型可解释性，适合量化研究者与AI投资者。
arXiv:2605.28853v1 Announce Type: cross Abstract: Portfolio optimization in real-world financial markets is notoriously difficult due to non-stationar…
提出学习式配置方法，替代手动调优，提升LLM智能体系统的自适应能力
arXiv:2602.11574v3 Announce Type: replace Abstract: Configuring LLM-based agent systems involves choosing workflows, tools, token budgets, and prompts…
大模型结合记忆引导树搜索与跨分支知识迁移，自动合成组合优化求解器，突破传统方法瓶颈。
arXiv:2605.17539v2 Announce Type: replace Abstract: Combinatorial optimization (CO) underlies decision-making from logistics to chip design, where inf…
提出异步线性最小化预言机动量方法，加速大规模组合优化
arXiv:2605.18174v1 Announce Type: new Abstract: Muon has recently emerged as a strong alternative to AdamW for training neural networks, with encourag…
PyCSP3新增调度扩展，原生支持区间变量和资源函数，简化约束建模与求解分离。
arXiv:2605.14559v1 Announce Type: new Abstract: PyCSP$^3$ provides a productive way to build constraint models for solving combinatorial constrained p…