Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/10411
Title: A perturbation based variable neighborhood search heuristic for solving the Vehicle Routing Problem with Simultaneous Pickup and Delivery with Time Limit
Authors: Polat, Olcay
Kalayci, C.B.
Kulak, O.
Günther, H.-O.
Keywords: And delivery
Meta-heuristics
Perturbation based neighborhood search
Vehicle routing with simultaneous pickup
Heuristic algorithms
Integer programming
Network routing
Numerical methods
Optimization
Pickups
Routing algorithms
Vehicles
Mathematical optimization model
Meta heuristics
Neighborhood search
Neighborhood search algorithms
Simultaneous pickup and deliveries
Variable neighborhood search
Vehicle Routing Problems
Vehicle routing
Publisher: Elsevier
Abstract: The Vehicle Routing Problem with Simultaneous Pickup and Delivery with Time Limit (VRPSPDTL) is a variant of the basic Vehicle Routing Problem where the vehicles serve delivery as well as pick up operations of the clients under time limit restrictions. The VRPSPDTL determines a set of vehicle routes originating and terminating at a central depot such that the total travel distance is minimized. For this problem, we propose amixed-integer mathematical optimization model and a perturbation based neighborhood search algorithm combined with the classic savings heuristic, variable neighborhood search and a perturbation mechanism. The numerical results show that the proposed method produces superior solutions for a number of wellknown benchmark problems compared to those reported in the literature and reasonably good solutions for the remaining test problems. © 2014 Elsevier B.V. All rights reserved.
URI: https://hdl.handle.net/11499/10411
https://doi.org/10.1016/j.ejor.2014.10.010
ISSN: 0377-2217
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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