Studies Intelligent Algorithm Of Containers Terminal Yard

Along with the development of the world economic integration and globalization, the containers ship tends to be large-scale and high-speed, Chinese economy and container transportation are developing rapid, which is a challenge to the capacity of the container port. The efficiency of container terminal operation cannot meet the requirement of the transport system. So it demands the terminal management level higher. While the construction of a terminal, berth, investment in equipment and expanding the area of the yard, the other effective way is the integration of existing machinery and yard resources, optimizing the management in the yard. In addition, once the terminal has been completed, the area will not change in a certain period. So the most important task of the terminal is to improve the level of container terminal management, operational efficiency, service quality and so on.Berth container terminal operating system consists of subsystems, yard subsystem, collection and distribution subsystems and other subsystems. Many managers tend to pay more emphasis on terminal berths subsystem management, and have neglected yard management subsystem. In fact, efficiency of yard subsystem resource directly affects the operating system's efficiency. So, it is necessary to study optimal stockpiling of the container yard, which makes yard subsystem work efficiency increased.The thesis studied on intelligent algorithm of container terminal yard applying the integral view, starting from the whole process, optimizing the management of both loading and unloading of container stacking to improve the operation efficiency and service levels.Firstly, this thesis based on the analysis of common reasons of containers transposition in container yard, and put forward reasonable methods for reducing rate of container transposition with the theory of searching technique though an example, it mainly studied the optimization of container yard system.Secondly, it optimized the handling machinery resource, for it was difficult to remain the same order between the stockpiling state of containers and the ideal order of containers sending, so relocation was inevitable. In order to reduce the relocation frequency in the container yards, improved operational efficiency, on the condition that the order of container withdrawal was required, the paper regarded every possible state that may be generated when a container was being withdrawn as a node, the number of relocation plus a base as the connection weights between nodes, and then the optimization problem for container relocation was converted into the shortest-path solution problem. The thesis brought forward a new approach to find the shortest path based on pulse-coupled neural network which features parallel running, that can be applied to solve large-scale practical problems, and we can easily work out the shortest path from a source to all other target points, therefore we have got the best relocation program.Finally, it concluded that under the existing resources conditions, it can improve the efficiency of the terminal through the resource management optimization. At the same time, it could improve the utilization of the resource for the port; reduced the ship residence time in port. It can reach win-win to both port and shipper.