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| Spengler, Thomas Stefan |
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| Al-Ammar, Essam A. |
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| Mota, Rui |
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| Mazalan, Nurul Aliah Amirah |
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| Macharis, Cathy | Brussels |
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| Arunasari, Yova Tri |
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| Nunez, Alfredo | Delft |
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| Bouhorma, Mohammed |
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| Bonato, Matteo |
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| Fitriani, Ira |
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| Autor Correspondente Coelho, Sílvia. |
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| Pond, Stephen |
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| Okwara, Ukoha Kalu |
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| Toufigh, Vahid |
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| Campisi, Tiziana | Enna |
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| Ermolieva, Tatiana |
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| Sánchez-Cambronero, Santos |
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Cherif-Khettaf, Wahiba Ramdane
in Cooperation with on an Cooperation-Score of 37%
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Publications (10/10 displayed)
- 2021Multi-trip pickup and delivery problem, with split loads, profits and multiple time windows to model a real case problem in the construction industrycitations
- 2019Metaheuristics for the Generalised Periodic Electric Vehicle Routing Problemcitations
- 2019Impact of Iterated Local Search Heuristic Hybridization on Vehicle Routing Problems: Application to the Capacitated Profitable Tour Problemcitations
- 2019Metaheuristics for Periodic Electric Vehicle Routing Problemcitations
- 2019Large Neighborhood Search for Periodic Electric Vehicle Routing Problemcitations
- 2018A selective adaptive large neighborhood search heuristic for the profitable tour problem with simultaneous pickup and delivery servicescitations
- 2018Constructive Heuristics for Periodic Electric Vehicle Routing Problemcitations
- 2018Behaviour of a Hybrid ILS Heuristic on the Capacitated Profitable Tour Problemcitations
- 2015Iterated Tabu Search for the Mix Fleet Vehicle Routing Problem with Heterogenous Electric Vehiclescitations
- 2015Vehicle Routing Problem with Mixed fleet of conventional and heterogeneous electric vehicles and time dependent charging costs
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article
Vehicle Routing Problem with Mixed fleet of conventional and heterogeneous electric vehicles and time dependent charging costs
Abstract
n this paper, we consider the vehicle routing problem with mixed fleet of conventional and heterogenous electric vehicles and time dependent charging costs, denoted VRP-HFCC, in which a set of geographically scattered customers have to be served by a mixed fleet of vehicles composed of a heterogenous fleet of Electric Vehicles (EVs), having different battery capacities and operating costs, and Conventional Vehicles (CVs). We include the possibility of charging EVs in the available charging stations during the routes in order to serve all customers. Each charging station offers charging service with a known technology of chargers and time dependent charging costs. Charging stations are also subject to operating time windows constraints. EVs are not necessarily compatible with all available charging technologies and a partial charging is allowed. Intermittent charging at the depot is also allowed provided that constraints related to the electricity grid are satisfied. The objective is to minimize the number of employed vehicles and then minimize the total travel and charging costs. In this study, we present a Mixed Integer Programming Model and develop a Charging Routing Heuristic and a Local Search Heuristic based on the Inject-Eject routine with different insertion methods. All heuristics are tested on real data instances.
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