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Lookup NU author(s): Dr Arijit DeORCiD
This is the authors' accepted manuscript of an article that has been published in its final definitive form by IEEE, 2020.
For re-use rights please refer to the publisher's terms and conditions.
This paper studies a novel sustainable ship routing problem considering a time window concept and bunker fuel management. Ship routing involves decisions corresponding to the deployment of vessels to multiple ports and time window concept helps to maintain the service level of the port. Reducing carbon emissions within the maritime transportation domain remains one of the most significant challenges as it addresses the sustainability aspect. Bunker fuel management deals with the fuel bunkering issues faced by different ships such as selection of bunkering ports and total bunkered amount at a port. A novel mathematical model is developed capturing the intricacies of the problem. A hybrid particle swarm optimization with basic variable neighbourhood search algorithm is proposed to solve the model and compared with the exact solutions obtained using Cplex and other popular algorithms for several problem instances. The proposed algorithm outperforms other popular algorithms for all the instances in terms of the solution quality and provides good quality solutions with an average cost deviation of 5.99% from the optimal solution.
Author(s): De A, Wang J, Tiwari M
Publication type: Article
Publication status: Published
Journal: IEEE Transactions on Intelligent Transportation Systems
Year: 2020
Volume: 21
Issue: 3
Pages: 986-997
Print publication date: 01/03/2020
Online publication date: 15/03/2019
Acceptance date: 17/02/2019
Date deposited: 04/03/2019
ISSN (print): 1524-9050
ISSN (electronic): 1558-0016
Publisher: IEEE
URL: https://doi.org/10.1109/TITS.2019.2900490
DOI: 10.1109/TITS.2019.2900490
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