Mathematical optimisation is a branch of mathematics and computer science that searches for the minimum/maximum of objective functions, and has applications in transport, logistics, scheduling etc.
We are exploring where LLMs can add value in optimisation algorithm development, and where they get in the way.
Right now, it works well for rapid prototyping. It does not create production-ready code and requires technical skills to use.
It is noticeably better at creating Timefold code than asking an LLM directly.
Are you an optimisation or GenAI developer? Give us feedback, and send that PR you think might be useful.