ai4co/reevo
[NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
This project helps optimize solutions for complex operational problems like logistics, resource allocation, and circuit design. You input a problem definition and an objective, and it outputs a high-performing optimization algorithm customized for your specific challenge. This is ideal for operations managers, supply chain strategists, and engineers who need to find efficient solutions for difficult combinatorial problems.
257 stars.
Use this if you need to quickly generate a state-of-the-art heuristic algorithm for a difficult optimization problem without extensive manual tuning.
Not ideal if your problem is simple and can be solved efficiently with off-the-shelf algorithms or if you lack basic programming skills to define your problem for the system.
Stars
257
Forks
51
Language
Python
License
MIT
Category
Last pushed
Jan 24, 2026
Commits (30d)
0
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