Wharf shore bridge and field bridge collaborative optimization scheduling method

A scheduling method and collaborative optimization technology, which can be used in data processing applications, forecasting, logistics, etc., and can solve problems such as the difficulty of coordinated scheduling operations for quay cranes and yard bridges.

Active Publication Date: 2019-05-21
ZHEJIANG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem of cooperative dispatching of wharf quayside cranes and yard bridges and difficult storage operations in the storage yard, the present invention provides a collaborative optimization scheduling method for wharf quayside cranes and yard bridges

Method used

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  • Wharf shore bridge and field bridge collaborative optimization scheduling method
  • Wharf shore bridge and field bridge collaborative optimization scheduling method
  • Wharf shore bridge and field bridge collaborative optimization scheduling method

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Embodiment 1

[0064] Such as figure 1 As shown, a collaborative optimization scheduling method for wharf quay cranes and yard bridges, including the following steps:

[0065] Step 1: Set the quay crane and yard crane as the scheduling object, combine the shipping schedule and the position of the container in the ship and the yard, so as to complete the minimum time spent on loading and unloading all containers on a ship as the scheduling of the quay crane and yard bridge The goal is to build a mathematical model for the simultaneous loading and unloading of import and export containers;

[0066] Step 2: Use the entropy value evaluation system to represent the container storage status of ships and yards, use double-layer chromosomes to encode the container loading and unloading sequence, and design an improved genetic algorithm based on the entropy values ​​of ships and yards to solve the same shell of containers Mathematical model of synchronous loading and unloading operation, to obtain t...

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Abstract

The invention discloses a wharf shore bridge and field bridge collaborative optimization scheduling method. The method comprises the following steps: carrying out pretreatment; defining the shore bridge and the field bridge as scheduling objects; a container stack is used as a minimum loading and unloading unit; combining the ship date table and the position of the container in the ship and the storage yard; the minimum time spent on loading and unloading of all containers on a ship and the short moving distance between a quay crane and a field bridge are taken as targets for scheduling of thequay crane and the field bridge, a mathematical model of synchronous loading and unloading operation of the import and export containers is constructed, and an optimal quay crane and field bridge scheduling scheme under a given import and export container loading and unloading task is obtained. According to the wharf quay crane and field bridge optimization scheduling method, the entropy evaluation system is designed, the improved genetic algorithm based on the entropy matching principle is designed, the solving capability of the algorithm is greatly improved, and the cooperative scheduling capability of the quay crane and the field bridge is improved.

Description

technical field [0001] The invention belongs to the field of collaborative optimization scheduling methods for wharf loading and unloading equipment, and in particular relates to a collaborative optimization scheduling method for wharf quay bridges and yard bridges. Background technique [0002] With the rapid development of world economic integration, container shipping plays an extremely important role in international logistics. Container transportation has been developed for nearly 30 years. Except for the global economic crisis in 2009, container throughput has maintained a steady growth rate. The growth rate in the first 20 years was about 10%. Although the growth rate has slowed down in the past 10 years, it still maintains about 5%. . The rapid development of container transportation has led to fierce competition among container terminals. Only by shortening the operation time of the terminal and reducing the operating cost of container ships at the terminal can we ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/08G06N3/12
Inventor 蒋美仙郑建鹏王振水黄苏西郑佳美吴国兴
Owner ZHEJIANG UNIV OF TECH
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