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Authors: Sheraz Aslam ; Michalis P. Michaelides and Herodotos Herodotou

Affiliation: Department of Electrical Engineering, Computer Engineering and Informatics, Cyprus University of Technology, Cyprus

Keyword(s): Berth Allocation Problem, Intelligent Sea Transportation, Cuckoo Search Algorithm, Metaheuristic Optimization, Port Efficiency.

Abstract: Over the last couple of decades, demand for seaborne containerized trade has increased significantly and it is expected to continue growing over the coming years. As an important node in the maritime industry, a maritime container terminal (MCT) should be able to tackle the growing demand for sea trade. Due to the increased number of ships that can arrive simultaneously at an MCT combined with inefficient berth allocation procedures, there are often undesirable situations when the ships have to stay in waiting queues and delay both their berthing and departure. In order to improve port efficiency in terms of reducing the total handling cost and late departures, this study investigates the dynamic and continuous berth allocation problem (DC-BAP), where vessels are assigned dynamically as they arrive at their berth locations assuming a continuous berth layout. First, the DC-BAP is formulated as a mixed-integer linear programming (MILP) model. Since BAP is an NP-hard problem and cannot be solved by mathematical approaches in a reasonable time, this study adopts the recently developed metaheuristic cuckoo search algorithm (CSA) to solve the DC-BAP. For validating the performance of the proposed CSA method, we use a benchmark case study and a genetic algorithm solution proposed in recent literature as well as compare our results against the optimal MILP solution. From the simulation results, it becomes evident that the newly proposed algorithm has higher efficiency over counterparts in terms of optimal berth allocation within reasonable computation time. (More)

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Paper citation in several formats:
Aslam, S.; Michaelides, M. and Herodotou, H. (2021). Dynamic and Continuous Berth Allocation using Cuckoo Search Optimization. In Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS; ISBN 978-989-758-513-5; ISSN 2184-495X, SciTePress, pages 72-81. DOI: 10.5220/0010436600720081

@conference{vehits21,
author={Sheraz Aslam. and Michalis P. Michaelides. and Herodotos Herodotou.},
title={Dynamic and Continuous Berth Allocation using Cuckoo Search Optimization},
booktitle={Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS},
year={2021},
pages={72-81},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010436600720081},
isbn={978-989-758-513-5},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - Dynamic and Continuous Berth Allocation using Cuckoo Search Optimization
SN - 978-989-758-513-5
IS - 2184-495X
AU - Aslam, S.
AU - Michaelides, M.
AU - Herodotou, H.
PY - 2021
SP - 72
EP - 81
DO - 10.5220/0010436600720081
PB - SciTePress