As an important carrier of container liner transportation infrastructure, the quality of container liner route network affects the operation and development of shipping companies, and has a significant impact on communication and economic development between countries. Establish a container liner route network with ports as nodes and routes as edges, and analyze its topological characteristics and community structure. The results show that the container liner route network has small-world and scale-free characteristics, high global efficiency and extremely uneven distribution of port degree values. The size of network community has significant differences, and the distribution of ports has geographic clustering characteristics, but geographically neighboring ports may not be closely connected.
In order to improve the efficiency of ship operations in port, the problem of ship and berth scheduling in port is solved. The coordination and optimization model of waterway and berth resources contains multiple complex constraints, which are difficult to solve through precise algorithms or professional solvers. The NSGA-II algorithm is commonly used to solve multi-objective optimization problems, with the goal of minimizing the total inbound and outbound ship scheduling time and the total waiting time of ships in port. A multi-objective optimization mathematical model for the port ship scheduling problem is established. This genetic algorithm introduces a mutation operator into the NSGA-II algorithm, which can improve the quality of the initial solution and accelerate the convergence speed. Generate the initial set using random genetic operators and generate corresponding new solutions through genetic iteration. The effectiveness of the algorithm was verified by data, and the results showed that the algorithm can effectively solve the optimization problem of port ship scheduling, greatly reduce the time of ship operation in port, and better improve the efficiency of ship operation in port.
Improving the utilization rate of terminal resources is an important link to promote the competitiveness of container terminals. However, on September 24, 2019 the Yangshan Port has successfully realized the “Dual-berthing” test, which provided new ideas for easing the shortage of terminal resources. In this context, this article optimizes the “Dual-berthing” scheduling problem based on the study of common berthing operation mode of container terminal. On this basis, a relevant mathematical model with the objective function of minimizing the “overall cost time” is established. At last, by using genetic algorithm, an example is given to verify the effectiveness of the model, and then to illustrate the rationality of the “Dual-berthing”.
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