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Branch‐and‐Cut POPMUSIC for the Electric Vehicle Routing Problem With Time Windows

Bijiga, Lelisa Kebena 1; Warwicker, John Alasdair; Rebennack, Steffen 1
1 Institut für Operations Research (IOR), Karlsruher Institut für Technologie (KIT)

Abstract:

Advancements in computer hardware and commercial software have enabled the use of branch-and-cut (BC) methodologies to address medium-scale vehicle routing problems (VRPs). Despite the introduction of efficient heuristics in the literature, tailoring these approaches to suit various VRP variants, such as the electric vehicle routing problem with time windows (EVRPTW), remains a difficult task. EVRPTW is an extension of the classic VRP with time windows in which internal combustion engine vehicles are replaced by electric vehicles. In this study, we develop a POPMUSIC matheuristic to solve the EVRPTW that relies solely on BC (termed BC-POPMUSIC), and can be implemented using commercial optimisation software such as Gurobi. We introduce new battery infeasibility inequalities, along with capacity cuts, reachability cuts, 𝑘-path cuts and polar cuts, and incorporate them into Gurobi to tighten the linear programming (LP) relaxation of the mixed integer linear program (MILP) model. Through extensive experiments, we show that this tightening can improve the quality of solutions. Since the EVRPTW requires visits to recharging stations when the battery is depleted, we propose an improvement heuristic to efficiently manage these recharging stops. ... mehr


Zugehörige Institution(en) am KIT Institut für Operations Research (IOR)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2026
Sprache Englisch
Identifikator ISSN: 0028-3045, 1097-0037
KITopen-ID: 1000198696
Erschienen in Networks
Verlag John Wiley and Sons
Vorab online veröffentlicht am 23.10.2026
Nachgewiesen in Scopus
Web of Science
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