Title
A dynamic discrete berth allocation problem for container terminals A dynamic discrete berth allocation problem for container terminals
Author
Publication type
conferenceObject
Publication
Boca raton :Crc press-taylor & francis group ,
Source (journal)
MARITIME-PORT TECHNOLOGY AND DEVELOPMENT
Source (book)
CONFERENCE ON MARITIME-PORT TECHNOLOGY (MTEC), OCT 27-29, 2014, TRONDHEIM, NORWAY
Volume/pages
(2015) , p. 11-18
ISBN
978-1-315-73162-9
ISI
000380500200002
ISBN
978-1-138-02726-8
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
In recent years, improving the process of loading and unloading ships has been the subject of much attention from the terminals operators. The importance of this issue encouraged engineers to design the best simulation for a particular model to reduce time and, subsequently, the costs of the process. The study investigates the Dynamic Berth Allocation Problem (DBAP), in which vessels are assigned to discrete positions based on their length in order to minimize vessels waiting time and berth idle time. We analysed the model by employing two highly effective meta-heuristics in the form of Local Search and Population based methods to obtain optimal solutions subject to the Variable Neighbourhood Search concept (VNS) and Genetic Algorithm (GA), respectively, and compared to each other. The results obtained through an extensive numerical analysis showed that the GA performs better than VNS to this kind of problem. In contrast, with respect to runtime in the same number of iteration, VNS shows the increase in runtime is much lower when problem size rise compared to GA.
E-info
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000380500200002&DestLinkType=RelatedRecords&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000380500200002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
https://repository.uantwerpen.be/docman/iruaauth/61586b/135002.pdf
Handle