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This thesis presents a labeling algorithm for the Resource Constrained Elementary Shortest Path Problem (RCESPP) as part of solving the Electric Vehicle Routing Problem (EVRP), which is crucial for optimizing routes for electric heavy-duty vehicles. The implemented algorithm includes state-of-the-art acceleration strategies and a new bounding method that significantly improves computational performance on benchmark instances. Results indicate that while ng-route relaxation is beneficial for certain customer

Author
igorloginoutros
Language
EN