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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