SHS Web Conf.
Volume 119, 20213rd International Conference on Quantitative and Qualitative Methods for Social Sciences (QQR’21)
|Number of page(s)||5|
|Section||Technology and Society / Covid-19 Innovations|
|Published online||24 August 2021|
Planning of one-way quay cranes using the genetic algorithm
ENSEM, Hassan II University, Casablanca, Morocco
* Corresponding author: email@example.com
The quay crane scheduling problem plays an essential role in the port container terminal management paradigm, as it is closely related to the berthing time of ships. In this article, we focus on the quay crane scheduling problem based on a special strategy, which forces the quay crane to move in one direction during the process of unloading and loading the containers. The scheduling problem that arises when this strategy is applied is called the one-way scheduling problem of quay cranes in the literature. In this article, we seek a mathematical formula for the unidirectional scheduling problem of quay cranes that can be easily solved by genetic algorithms. This algorithm provides us with the best combination of containers to unload and load at the optimal time.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.