A three-agent LLM pipeline (information extractor, problem formulator, code programmer) generates executable ADN dispatch optimization code from natural language requests.
PyOptInterface: Design and implementation of an efficient modeling language for mathematical optimization
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abstract
This paper introduces the design and implementation of PyOptInterface, a modeling language for mathematical optimization embedded in Python programming language. PyOptInterface uses lightweight and compact data structure to bridge high-level entities in optimization models like variables and constraints to internal indices of optimizers efficiently. It supports a variety of optimization solvers and a range of common problem classes. We provide benchmarks to exhibit the competitive performance of PyOptInterface compared with other state-of-the-art modeling languages.
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Large Language Model Powered Automated Modeling and Optimization of Active Distribution Network Dispatch Problems
A three-agent LLM pipeline (information extractor, problem formulator, code programmer) generates executable ADN dispatch optimization code from natural language requests.