Optimization of ship command and dispatch in the waters between the three gorges dams based on GP algorithm
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{Liu:2023:ICTIS,
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author = "Qing Liu and Zhuofeng Tang and Zhe Cong and Lei Wang",
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booktitle = "2023 7th International Conference on Transportation
Information and Safety (ICTIS)",
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title = "Optimization of ship command and dispatch in the
waters between the three gorges dams based on {GP}
algorithm",
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year = "2023",
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abstract = "At present, the backlog of ships passing through the
Three Gorges has become the norm, and the difference
between the passing capacity of the Three
Gorges-Gezhouba locks and the passing capacity of the
waters between the two dams has led to a reduction in
the efficiency of ship navigation through the locks and
an increase in the difficulty of control. In view of
the above problems, this paper constructs an
optimisation model for the control and command of
formation ship groups under the existing ship
navigation rules, taking into account the safety
distance to be maintained between ship groups, the
continuity of navigation and other realistic
constraints, with the objective of minimizing the
imbalance between navigation time and delay time. Based
on the characteristics that the ship navigation process
is similar to the processing operation in the
production plant, a heuristic scheduling rule set and
Genetic Programming (GP) algorithm are established for
the solution. The research results show that the method
of determining the navigation order of vessel groups by
generating composite dispatching rules (CDR) with GP
algorithm can reduce the navigation time of vessels
crossing the gate in the waters between two dams and
effectively improve the fairness of scheduling, while
meeting the requirements of vessel navigation rules and
safety.",
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keywords = "genetic algorithms, genetic programming, Job shop
scheduling, Navigation, Dams, Transportation, Logic
gates, Dispatching, Safety, Three Gorges-Gezhouba Dams,
Ship command and dispatch, Optimisation model,
Scheduling Rules",
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DOI = "doi:10.1109/ICTIS60134.2023.10243931",
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ISSN = "2832-899X",
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month = aug,
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notes = "Also known as \cite{10243931}",
- }
Genetic Programming entries for
Qing Liu
Zhuofeng Tang
Zhe Cong
Lei Wang
Citations