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math.OC2024
Combinatorial Optimization and Machine Learning for Dynamic Inventory Routing
Toni Greif, Louis Bouvier, Christoph M. Flath +3
We introduce a combinatorial optimization-enriched machine learning pipeline and a novel learning paradigm to solve inventory routing problems with stochastic demand and dynamic in…
math.OC2024★ 2 cited
Deep Learning for Data-Driven Districting-and-Routing
Arthur Ferraz, Cheikh Ahmed, Quentin Cappart +1
Districting-and-routing is a strategic problem aiming to aggregate basic geographical units (e.g., zip codes) into delivery districts. Its goal is to minimize the expected long-ter…