LLMOPT is a groundbreaking framework that enables large language models to autonomously define and solve optimization problems from natural language descriptions without requiring specialized human expertise.

• Automatically translates business requirements into mathematical optimization problems
• Solves complex optimization challenges across engineering, manufacturing, and energy domains
• Demonstrates superior performance compared to other LLM-based approaches
• Helps democratize optimization-based decision making for non-specialists

For engineering teams, this research provides a powerful tool to tackle resource allocation, process efficiency, and system design challenges without advanced mathematical training.

LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch