The idea of this research is based on a novel paradigm for solving complex, NP-hard problems (e.g., schedul- ing, routing) by leveraging Large Language Models (LLMs) as dynamic orchestrators in Agentic solvers, as proposed in a position Paper by professor Roberto Amadini and Simone Gazza.
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Updated
Mar 13, 2026 - Jupyter Notebook