by ai4co · Agent Tool · ★ 252
[NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution 🥳 Welcome! This is a codebase that accompanies the paper ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution. Give ReEvo 5 minutes, and get a state-of-the-art algorithm in return! Table of Contents 1\. News 📰 2\. Introduction 🚀 3\. Exciting Highlights 🌟 4\. Usage 🔑 4.1. Dependency 4.2. To run ReEvo 4.3. Available problems 4.4. Simple steps to apply ReEvo to your problem 4.5. Use Alternative LLMs 5\. Citation 🤩 6\. Acknowledgments 🫡 News 📰 Sep.
| Stars | 252 |
| Forks | 52 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 62.436846195758/100 |
| Last Updated | 2026-01-24 |
| Created | 2023-11-20 |
| Platforms | python |
| Est. Tokens | ~1811k |
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reevo is [NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution. It is categorized as a Agent Tool with 252 GitHub stars.
reevo is primarily written in Python. It covers topics such as ant-colony-optimization, automatic-algorithm-generation, bin-packing-problem.
You can find installation instructions and usage details in the reevo GitHub repository at github.com/ai4co/reevo. The project has 252 stars and 52 forks, indicating an active community.
reevo is released under the MIT license, making it free to use and modify according to the license terms.