AI RESEARCH
Adaptive decision-making for stochastic service network design
arXiv CS.LG
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ArXi:2603.24369v1 Announce Type: cross This paper addresses the Service Network Design (SND) problem for a logistics service provider (LSP) operating in a multimodal freight transport network, considering uncertain travel times and limited truck fleet availability. A two-stage optimization approach is proposed, which combines metaheuristics, simulation and machine learning components.