Applications of Machine Learning in Solving Vehicle Routing Problem

Jussi Rasku


Research objective is to increase the degree of automation in vehicle
routing problem solving by applying machine learning methods to the
problems emerging from the field of computational logistics. One such
recognized problem in VRP solving is limited generalization ability
and robustness of known solving methods. The aim of the research
outlined in this plan is to improve robustness and adaptivity of VRP
solving methods by using intelligent methods of machine learning.