datphamvn/HSEvo

[AAAI-25] HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs

50
/ 100
Established

This project helps operations managers, logistics planners, and resource allocators automatically design better strategies for complex challenges. It takes a description of your optimization problem (like vehicle routing or bin packing) and uses AI to generate efficient heuristic solutions. The output is a refined algorithm that performs better than standard approaches.

Use this if you need to find optimal or near-optimal solutions for hard combinatorial problems and want to automate the discovery of highly effective heuristics.

Not ideal if your problem is simple enough for existing, off-the-shelf algorithms, or if you need solutions generated without using large language models.

logistics-optimization resource-allocation supply-chain-management operations-research scheduling
No Package No Dependents
Maintenance 10 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 17 / 25

How are scores calculated?

Stars

33

Forks

9

Language

Python

License

MIT

Last pushed

Feb 21, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/generative-ai/datphamvn/HSEvo"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.