Learning Decision-Makers' Behavior in Routing Problems Using Inverse Optimization

The authors propose an Inverse Optimization methodology tailored to routing problems, aiming to replicate human drivers' routing preferences using historical data. Their approach achieves significant success in the Amazon Last Mile Routing Research Challenge.