Vehicle routing by learning from historical solutions

17 Sep 2019Rocsildes CanoyTias Guns

The goal of this paper is to investigate a decision support system for vehicle routing, where the routing engine learns from the subjective decisions that human planners have made in the past, rather than optimizing a distance-based objective criterion. This is an alternative to the practice of formulating a custom VRP for every company with its own routing requirements... (read more)

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