A Three-Phase Matheuristic for the Time-Effective Electric Vehicle Routing Problem with Partial Recharges
Abstract
Data di Pubblicazione:
2016
Abstract:
We propose a three-phase matheuristic, combining an exact method with a Variable Neighborhood Search local Branching (VNSB) to route a fleet of Electric Vehicles (EVs). EVs are allowed stopping at the recharging stations along their routes to (also partially) recharge their batteries. We hierarchically minimize the number of EVs used and the total time spent by the EVs, i.e., travel times, charging times
and waiting times (due to the customer time windows). The first two phases are based on Mixed Integer Linear Programs to generate feasible solutions, used in a VNSB algorithm. Numerical results on benchmark instances show that the proposed approach finds good quality solutions in reasonable amount of time.
and waiting times (due to the customer time windows). The first two phases are based on Mixed Integer Linear Programs to generate feasible solutions, used in a VNSB algorithm. Numerical results on benchmark instances show that the proposed approach finds good quality solutions in reasonable amount of time.
Tipologia CRIS:
4.2 Abstract in Atti di convegno
Keywords:
Time Windows, Green Logistics, Recharging Decisions, Variable Neighborhood Search.
Elenco autori:
Bruglieri, Maurizio; Mancini, Simona; Pezzella, Ferdinando; Pisacane, Ornella; Suraci, Stefano .
Link alla scheda completa:
Titolo del libro:
Book of Abstracts of the 4th International Conference on Variable Neighborhood Search