Journal
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
Volume 21, Issue 3, Pages 986-997Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TITS.2019.2900490
Keywords
Fuels; Marine vehicles; Routing; Carbon dioxide; Transportation; Mathematical model; Microsoft Windows; Ship routing; bunker fuel management; mixed integer linear programming model; variable neighborhood search algorithm
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Funding
- National Natural Science Foundation of China [71571156]
- Research Grants Council of the Hong Kong Special Administrative Region, China [T32-101/15-R]
- University of Hong Kong through the Seed Fund for Basic Research [201611159213]
- State Key Laboratory of Synthetical Automation for Process Industries [PAL-N201802]
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This paper studies a novel sustainable ship routing problem considering a time window concept and bunker fuel management. Ship routing involves the 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 a basic variable neighborhood 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 in 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.
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