Dynamic vehicle routing problem with simultaneous delivery and pickup: Formulation and resolution

TitreDynamic vehicle routing problem with simultaneous delivery and pickup: Formulation and resolution
Publication TypeConference Paper
Year of Publication2020
AuthorsBerahhou, A, Benadada, Y
Conference NameProceedings - 2020 5th International Conference on Logistics Operations Management, GOL 2020
Mots-clésDistribution companies, Dynamic vehicle routing problems, Genetic algorithms, Literature reviews, Local search method, Memetic algorithms, Number of vehicles, Optimal solutions, Optimization problems, Pickups, Vehicle routing, Vehicles
Abstract

This article treat a fundamental optimization problem encountered by most distribution companies. The Dynamic Vehicle Routing Problem with Simultaneous Delivery and Pickup (DVRPSDP) is a special variant of the VRP, in which new clients comes when the working day has already begun, and a number of vehicles have started their tours, in a way that each customer requires simultaneous delivery and pickup. These new customers must be included in the planned tours as early as possible with a minimum total travel distance. A rich literature review of the problem is carried out. A mathematical model has been formulated for the DVRPSDP, and it is tested with Cplex to provide optimal solutions for small instances. A memetic algorithm has been used to resolve the problem, the proposed algorithm is a combination of the genetic algorithm with a local search method. © 2020 IEEE.

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85100214538&doi=10.1109%2fGOL49479.2020.9314759&partnerID=40&md5=103d048003f32e61f1cb306492ddc85f
DOI10.1109/GOL49479.2020.9314759
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