Research on Dynamic Berth Assignment of Bulk Cargo Port Based on Ant Colony Algorithm

被引：1
|
作者：
Guo, Chunfang [1 ]
Guan, Zhongliang [1 ]
Song, Yan [1 ]
机构：
[1] Beijing Jiaotong Univ, Sch Econ & Management, Beijing 100044, Peoples R China
来源：
PROCEEDINGS OF 2ND CONFERENCE ON LOGISTICS, INFORMATICS AND SERVICE SCIENCE (LISS 2012), VOLS 1 AND 2 | 2013年
关键词：
Ship-scheduling system; Improved ant colony algorithm; Ontology reasoning; Dynamic berth assignment;
D O I：
10.1007/978-3-642-32054-5_35
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Berth assignment is the basic problem of the port ship-scheduling. Considering the different importance of different ships, this paper put forward a model for the use of ship resources, through the improvement of traditional ant colony algorithm, the ship-berth matching relation constraint matrix forms by ontology reasoning. Finally, the model based on improved ant colony algorithm and ontology reasoning is applied to the combination of the dynamic berth assignment problem solving process.
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收藏
页数：6
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