Zangir / LLM-for-CPLinks
☆13Updated last year
Alternatives and similar repositories for LLM-for-CP
Users that are interested in LLM-for-CP are comparing it to the libraries listed below
Sorting:
- [ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"☆80Updated 7 months ago
- [NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution☆238Updated last month
- Evolution of Heuristics☆250Updated 3 months ago
- The LLMOPT project offers a comprehensive set of resources, including the model, dataset, training framework, and inference code, enablin…☆113Updated last month
- OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problems with Reasoning LLM☆70Updated 4 months ago
- Official implementation of the paper "Chain-of-Experts: When LLMs Meet Complex Operation Research Problems"☆111Updated 10 months ago
- The code of paper Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. Zhihai Wang, Xijun Li,…☆65Updated 2 years ago
- A Collection on Large Language Models for Optimization☆324Updated this week
- ☆23Updated last year
- ☆27Updated 2 years ago
- A list of awesome papers and resources of the intersection of Large Language Models and Evolutionary Computation.☆123Updated 9 months ago
- [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems☆40Updated 9 months ago
- Large Language Model for MOEA☆60Updated last year
- the official repository of the paper unsupervised learning for combinatorial optimization needs meta learning☆10Updated 2 years ago
- Codes for AAAI22 paper "Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum"☆23Updated 3 years ago
- The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at…☆58Updated 2 months ago
- L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China☆90Updated 7 months ago
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆103Updated 2 years ago
- [AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time☆99Updated 11 months ago
- Official implementation of paper "Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling"☆61Updated 10 months ago
- [ICLR 2025] Graph Assisted Offline-Online Deep Reinforcement Learning (GOODRL) for Dynamic Workflow Scheduling (DWS)☆22Updated 10 months ago
- ☆45Updated 8 months ago
- ☆21Updated 8 months ago
- [NeurIPS 2025 DiffCoALG WS] Neural Combinatorial Optimization for Real-World Routing☆22Updated 3 months ago
- ORLM: Training Large Language Models for Optimization Modeling☆228Updated 3 months ago
- ☆32Updated last year
- ☆35Updated 3 years ago
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆69Updated 6 months ago
- multi-task learning for routing problem☆22Updated last month
- PyTorch code for the GNARKD.☆26Updated last year