LLMs May Outperform Humans in Mathematical Optimization
Published:Dec 24, 2025 01:09
•1 min read
•Zenn LLM
Analysis
This article discusses the potential of using Large Language Models (LLMs) to solve mathematical optimization problems. It introduces a system called Mathematical Optimization MCP (ReMIP MCP) which allows LLMs to call mathematical optimization solvers. The author also mentions a demonstration of this system presented at DevFest Tokyo 2025. The article seems to be part of a larger series (Advent Calendar 2025) and is still in an experimental phase, not yet released as an npm package. The core idea is exploring the intersection of LLMs and traditional optimization techniques, potentially leading to more efficient and accessible solutions.
Key Takeaways
- •LLMs are being explored for mathematical optimization tasks.
- •The article introduces a system called Mathematical Optimization MCP (ReMIP MCP).
- •The system is still in an experimental phase.
Reference
“今回はLLMから数理最適化ソルバーを呼び出す 数理最適化MCP（ReMIP MCP） とそれを使ったデモを作ったので紹介します。”