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:1.8051

@InProceedings{Liu:2023:ICTIS,

• author = "Qing Liu and Zhuofeng Tang and Zhe Cong and Lei Wang",
• booktitle = "2023 7th International Conference on Transportation Information and Safety (ICTIS)",
• title = "Optimization of ship command and dispatch in the waters between the three gorges dams based on {GP} algorithm",
• year = "2023",
• 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.",
• 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",
• DOI = "doi:10.1109/ICTIS60134.2023.10243931",
• ISSN = "2832-899X",
• month = aug,
• notes = "Also known as \cite{10243931}",

}

Genetic Programming entries for Qing Liu Zhuofeng Tang Zhe Cong Lei Wang

Citations