Routing a mix of conventional, plug-in hybrid, and electric vehicles

DOI10.1016/j.ejor.2018.06.025zbMath1403.90122OpenAlexW2778252806WikidataQ59389523 ScholiaQ59389523MaRDI QIDQ1991124

Richard F. Hartl, Jakob Puchinger, Thibaut Vidal, Gerhard Hiermann

Publication date: 30 October 2018

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2018.06.025

zbMATH Keywords

routingelectric vehicleshybrid metaheuristicsheterogeneous fleetsplug-in hybrid

Mathematics Subject Classification ID

Transportation, logistics and supply chain management (90B06) Approximation methods and heuristics in mathematical programming (90C59) Deterministic network models in operations research (90B10)

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Uses Software

• VRP

Cites Work

• Routing a mixed fleet of electric and conventional vehicles
• The electric fleet size and mix vehicle routing problem with time windows and recharging stations
• A hybrid algorithm for a class of vehicle routing problems
• A hybrid genetic algorithm with adaptive diversity management for a large class of vehicle routing problems with time-windows
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• A simple and effective evolutionary algorithm for the vehicle routing problem
• Vehicle routing problems with alternative paths: an application to on-demand transportation
• The Shortest-Path Problem with Resource Constraints and k-Cycle Elimination for k ≥ 3
• Vehicle Routing
• Exact Algorithms for Electric Vehicle-Routing Problems with Time Windows
• The fleet size and mix vehicle routing problem with time windows
• Routing a Heterogeneous Fleet of Vehicles
• Timing problems and algorithms: Time decisions for sequences of activities
• A Hybrid Genetic Algorithm for Multidepot and Periodic Vehicle Routing Problems
• Node, Edge, Arc Routing and Turn Penalties: Multiple Problems—One Neighborhood Extension
• Shortest Path Problems with Resource Constraints

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