Optima-CityU / LLM4ADLinks
LLM4AD: A Platform for Algorithm Design with Large Language Model
☆446Updated this week
Alternatives and similar repositories for LLM4AD
Users that are interested in LLM4AD are comparing it to the libraries listed below
Sorting:
- A Collection on Large Language Models for Optimization☆289Updated 10 months ago
- Evolution of Heuristics☆206Updated last week
- Recent research papers about Foundation Models for Combinatorial Optimization☆365Updated this week
- [NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution☆206Updated 4 months ago
- ORLM: Training Large Language Models for Optimization Modeling☆187Updated 5 months ago
- A list of awesome papers and resources of the intersection of Large Language Models and Evolutionary Computation.☆111Updated 6 months ago
- Large Language Model for MOEA☆59Updated last year
- A collection of MetaBBO papers and code sources☆86Updated 3 months ago
- OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problems with Reasoning LLM☆52Updated 3 weeks ago
- MetaBox: Benchmarking Platform for Meta-Black-Box Optimization☆147Updated 2 weeks ago
- [NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization☆169Updated 11 months ago
- Large Language Model Evolutionary Algorithm☆65Updated this week
- The LLMOPT project offers a comprehensive set of resources, including the model, dataset, training framework, and inference code, enablin…☆79Updated 4 months ago
- ☆46Updated 11 months ago
- Optimization Modeling Using mip Solvers and large language models☆213Updated 10 months ago
- Research Papers and Code Repository on the Integration of Evolutionary Algorithms and Reinforcement Learning☆302Updated last year
- Useful relevant papers and open source codes for Data-Driven Evolutionary Algorithms (DDEAs)☆38Updated 5 months ago
- A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)☆676Updated 2 months ago
- Official implementation of the paper "Chain-of-Experts: When LLMs Meet Complex Operation Research Problems"☆103Updated 7 months ago
- Official implementation of paper "Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling"☆55Updated 6 months ago
- A comprehensive list of gradient-based multi-objective optimization algorithms in deep learning.☆81Updated last month
- L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China☆82Updated 3 months ago
- GPU-accelerated Ant Colony Optimization (ACO)☆16Updated 6 months ago
- [ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"☆75Updated 3 months ago
- A benchmarking repo with various solution methods to various machine scheduling problems☆151Updated 7 months ago
- The code of paper Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. Zhihai Wang, Xijun Li,…☆63Updated 2 years ago
- [AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time☆93Updated 7 months ago
- A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and …☆141Updated this week
- Neural Combinatorial Optimization☆68Updated this week
- [AAAI-25] HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs☆21Updated 2 months ago