Agentic Calibration of Grey-Box Simulation Models: An LLM-Driven Alternative
This work introduces an agentic calibration method in which a large language model acts as the optimizer, with constraints incorporated as a plain-language section of the system prompt, and evaluates the agentic method, NM, and Bayesian Optimization on an anal cancer simulation model under both unconstrained and clinic...